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CBTNuggets - Introduction to Machine Learning 2024-3
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CBTNuggets - Introduction to Machine Learning 2024-3
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文件列表
55. Design Effective Prompts for Large Language Models/2. Iterative Prompt Engineering.mp4
216.9 MB
11. Examine Cost Functions and Parameter Tuning/6. Calculate Your Model's Performance.mp4
207.5 MB
52. Explore Multi-Label Classification with TensorFlow/2. Binary, Multi-Class, and Multi-Label Classification.mp4
205.3 MB
10. Apply Regression Concepts for Supervised Learning/3. Explore Linear Relationships Ordinary Least Squares.mp4
198.9 MB
3. Define What is Machine Learning/1. Introduction.mp4
194.3 MB
7. Define What is Machine Learning/1. Introduction.mp4
194.3 MB
21. Build a K-Nearest Neighbors Classifier/1. Introduction.mp4
187.1 MB
56. Implement LangChain in Language Model Workflows/3. Leverage LangChain Templating for Complex Prompts.mp4
186.7 MB
55. Design Effective Prompts for Large Language Models/5. Challenge Build The AutoBot ChatBot To Manage Orders.mp4
178.6 MB
9. Explore Data Pipelines and Linear Regression/5. Predicting Lumber Prices Feature Extraction.mp4
177.9 MB
4. Setup a Machine Learning Development Environment/2. Anaconda, Conda and Jupyter - Locally.mp4
172.7 MB
8. Setup a Machine Learning Development Environment/2. Locally.mp4
172.7 MB
1. Explore How AI Agents Navigate Driving Directions/2. What is Artificial Intelligence.mp4
171.0 MB
5. Explore How AI Agents Navigate Driving Directions/2. What is Artificial Intelligence.mp4
171.0 MB
28. Explore Gradient Descent & Back Propagation/6. Split The Train Test Datasets.mp4
170.2 MB
3. Define What is Machine Learning/2. What is Machine Learning.mp4
168.4 MB
7. Define What is Machine Learning/2. What is Machine Learning.mp4
168.4 MB
16. Implement Logistic Regression with Python/5. Implement Logistic Regression Part 1 Data Preprocessing, Cleaning, and Encoding .mp4
168.1 MB
62. Explore Transformer Encoders and Decoders/3. Attention Is All You Need (Optional).mp4
165.4 MB
17. Build a Python Decision Tree Classification Model/4. Introduction.mp4
163.3 MB
3. Define What is Machine Learning/3. Supervised.mp4
162.5 MB
7. Define What is Machine Learning/3. Supervised.mp4
162.5 MB
20. Build a Support Vector Machine Classifier/4. Data Loading and PreProcessing.mp4
158.7 MB
16. Implement Logistic Regression with Python/1. Introduction.mp4
158.1 MB
63. Examine the Fundamentals of HuggingFace/5. Spaces.mp4
154.2 MB
4. Setup a Machine Learning Development Environment/5. Cloud Services AWS, GCP, and Azure.mp4
153.3 MB
8. Setup a Machine Learning Development Environment/5. Cloud Services AWS, GCP, and Azure.mp4
153.3 MB
4. Setup a Machine Learning Development Environment/4. Google Colab.mp4
150.9 MB
8. Setup a Machine Learning Development Environment/4. Google Colab.mp4
150.9 MB
57. Implement LangChain Memory for Autonomous Tasks/7. Challenge Implement LangChain Memory.mp4
150.4 MB
3. Define What is Machine Learning/5. Build an Image Classifier.mp4
149.5 MB
7. Define What is Machine Learning/5. Build an Image Classifier.mp4
149.5 MB
23. Implement a Perceptron for Classification/4. Implement a Perceptron from Scratch.mp4
148.8 MB
1. Explore How AI Agents Navigate Driving Directions/3. Grand Search Auto.mp4
147.3 MB
5. Explore How AI Agents Navigate Driving Directions/3. Grand Search Auto.mp4
147.3 MB
63. Examine the Fundamentals of HuggingFace/3. Models.mp4
140.3 MB
55. Design Effective Prompts for Large Language Models/3. Build a Summarizer for Interesting Topics.mp4
140.3 MB
57. Implement LangChain Memory for Autonomous Tasks/6. The Power of Chaining LangChain Components.mp4
138.9 MB
17. Build a Python Decision Tree Classification Model/2. Introduction.mp4
138.6 MB
54. Build LLM Apps with ChatGPT and the OpenAI API/3. Route Queries Using Classification for Different Cases.mp4
137.5 MB
58. Combine LangChain Components for Coherent Apps/6. RouterChain.mp4
137.2 MB
61. Use LangChain to Chat with PDFs and Documents/7. Challenge.mp4
136.6 MB
54. Build LLM Apps with ChatGPT and the OpenAI API/7. Challenge Filter Inputs with a Chain of Thought Prompt Filter.mp4
136.4 MB
3. Define What is Machine Learning/6. Predicting Lumber Prices with Linear Regression.mp4
134.4 MB
7. Define What is Machine Learning/6. Predicting Lumber Prices with Linear Regression.mp4
134.4 MB
57. Implement LangChain Memory for Autonomous Tasks/2. ConversationBufferMemory.mp4
132.3 MB
50. Explore Multi-Class Classification with TensorFlow/2. Create a Teachable Machine Multi-Class Classifier.mp4
131.1 MB
12. Implement Gradient Descent for Linear Regression/5. Implementing The Gradient Descent Algorithm.mp4
129.2 MB
10. Apply Regression Concepts for Supervised Learning/5. Ordinary Least Squares with Matlab's PolyFit.mp4
128.7 MB
17. Build a Python Decision Tree Classification Model/5. Introduction.mp4
127.0 MB
9. Explore Data Pipelines and Linear Regression/2. What is a Machine Learning Model.mp4
125.9 MB
54. Build LLM Apps with ChatGPT and the OpenAI API/5. Implement The OpenAI Moderation API.mp4
123.2 MB
43. Evaluate Regression Models with TensorFlow/5. Challenge Solution.mp4
120.1 MB
63. Examine the Fundamentals of HuggingFace/7. Challenge.mp4
118.4 MB
22. Explore Neural Network Basics With The Perceptron/6. Build A Simple Binary Perceptron Classifier.mp4
117.4 MB
23. Implement a Perceptron for Classification/3. The Perceptron Rule and Neurons.mp4
117.3 MB
28. Explore Gradient Descent & Back Propagation/1. Introduction.mp4
116.2 MB
51. Tune Multi-Class Classification TensorFlow Models/4. One-Hot Encode Features and Build Model.mp4
114.8 MB
42. Build a Simple Regression Model with TensorFlow/3. Build Model From Scratch.mp4
113.9 MB
63. Examine the Fundamentals of HuggingFace/1. Introduction.mp4
113.8 MB
41. Explore Neural Network Regression with TensorFlow/3. Neural Network Architecture.mp4
113.5 MB
42. Build a Simple Regression Model with TensorFlow/6. Solution Part 1.mp4
113.2 MB
28. Explore Gradient Descent & Back Propagation/7. Build a Linear Regression Model.mp4
111.9 MB
27. Apply PyTorch Tensor Manipulation and Indexing/2. Reshape, View, and Stack Tensors.mp4
111.0 MB
33. Explore Multi-class Classification with PyTorch/2. Review of Binary Classification with PyTorch.mp4
111.0 MB
15. Identify Key Classification Algorithms/1. Introduction.mp4
110.8 MB
14. Explore Feature Engineering and Data Preparation/3. Handling Missing Data.mp4
109.9 MB
18. Build a Python Random Forest Classification Model/4. Import Libraries, Feature Engineering and One-Hot Encoding.mp4
109.3 MB
41. Explore Neural Network Regression with TensorFlow/4. Build a Model.mp4
109.1 MB
2. Apply Probability to Real-World AI Problems/2. Probability of Rolling One 6-sided Die.mp4
109.0 MB
6. Apply Probability to Real-World AI Problems/2. Probability of Rolling One 6-sided Die.mp4
109.0 MB
4. Setup a Machine Learning Development Environment/1. Introduction.mp4
108.9 MB
8. Setup a Machine Learning Development Environment/1. Introduction.mp4
108.9 MB
44. Visualize and Evaluate Performance with TensorFlow/4. Split Data for Train and Test Datasets.mp4
108.4 MB
13. Vectorize Operations for Multiple Regression/5. Interpreting the Weights.mp4
106.2 MB
14. Explore Feature Engineering and Data Preparation/1. Introduction.mp4
105.1 MB
50. Explore Multi-Class Classification with TensorFlow/4. Load and Explore MNIST Fashion Dataset.mp4
104.6 MB
1. Explore How AI Agents Navigate Driving Directions/6. Breadth-First Search.mp4
103.6 MB
5. Explore How AI Agents Navigate Driving Directions/6. Breadth-First Search.mp4
103.6 MB
53. Explore The Fundamentals of Large Language Models/2. What is a Large Language Model (LLM).mp4
103.4 MB
49. Evaluate TensorFlow Classification Models/4. Adaptive Learning Rates part 3.mp4
102.7 MB
59. Build Task-Driven Autonomous Agents with LangChain/7. Debugging with LangChain.mp4
102.6 MB
60. Use LangChain to Interact with PDFs and Documents/6. Vector Stores.mp4
102.4 MB
26. Explore Fundamental PyTorch Tensor Operations/2. Review Matrix Multiplication Errors.mp4
101.9 MB
56. Implement LangChain in Language Model Workflows/2. Compare Direct API Calls Vs. API Calls Through LangChain - LangChain API Call.mp4
101.3 MB
46. Explore TensorFlow Neural Network Classification/2. What is Classification.mp4
101.2 MB
54. Build LLM Apps with ChatGPT and the OpenAI API/6. Sanitize and Validate Inputs Injection Attacks.mp4
100.6 MB
9. Explore Data Pipelines and Linear Regression/3. Predicting Lumber Prices Data Collection.mp4
100.2 MB
13. Vectorize Operations for Multiple Regression/1. Introduction.mp4
99.5 MB
41. Explore Neural Network Regression with TensorFlow/6. Solution Video.mp4
99.4 MB
10. Apply Regression Concepts for Supervised Learning/1. Introduction.mp4
96.0 MB
23. Implement a Perceptron for Classification/7. Bonus Resources.mp4
95.6 MB
19. Apply Regularization to Overcome Overfitting/1. Introduction.mp4
94.6 MB
48. Build a TensorFlow Classifier with Non-Linearity/5. Create Fourth Model.mp4
94.5 MB
56. Implement LangChain in Language Model Workflows/6. Video Solution.mp4
93.5 MB
13. Vectorize Operations for Multiple Regression/4. Non-Vectorized Operations.mp4
92.4 MB
14. Explore Feature Engineering and Data Preparation/6. Define, Split and Scale Features.mp4
92.4 MB
46. Explore TensorFlow Neural Network Classification/7. Challenge.mp4
91.0 MB
17. Build a Python Decision Tree Classification Model/1. Introduction.mp4
90.0 MB
15. Identify Key Classification Algorithms/2. From Regression to Classification.mp4
89.7 MB
46. Explore TensorFlow Neural Network Classification/1. Introduction.mp4
89.6 MB
12. Implement Gradient Descent for Linear Regression/4. Gradient Descent Behind the Scenes.mp4
89.6 MB
59. Build Task-Driven Autonomous Agents with LangChain/1. Introduction.mp4
89.5 MB
58. Combine LangChain Components for Coherent Apps/1. Introduction.mp4
89.5 MB
30. Implement a Logistic Regression Model with PyTorch/7. Challenge Part 3 Bonus Self-Graded Take-Home Challenge.mp4
89.4 MB
9. Explore Data Pipelines and Linear Regression/1. Introduction.mp4
88.9 MB
4. Setup a Machine Learning Development Environment/6. Vast.ai the market leader in low-cost cloud GPU rental.mp4
88.3 MB
8. Setup a Machine Learning Development Environment/6. Vast.ai the market leader in low-cost cloud GPU rental.mp4
88.3 MB
23. Implement a Perceptron for Classification/1. Introduction.mp4
88.1 MB
16. Implement Logistic Regression with Python/6. Implement Logistic Regression Part 2 Implement Logistic Regression and Measure Performance.mp4
87.4 MB
62. Explore Transformer Encoders and Decoders/1. Introduction.mp4
86.2 MB
10. Apply Regression Concepts for Supervised Learning/2. A Brief and Bizarre History of Linear Regression.mp4
86.2 MB
16. Implement Logistic Regression with Python/4. Logistic Regression in 4 lines of Code.mp4
85.9 MB
22. Explore Neural Network Basics With The Perceptron/1. Introduction.mp4
85.7 MB
54. Build LLM Apps with ChatGPT and the OpenAI API/2. Web Chat Interfaces Vs. Programmatic Notebooks.mp4
85.4 MB
21. Build a K-Nearest Neighbors Classifier/6. Data PreProcessing.mp4
85.0 MB
21. Build a K-Nearest Neighbors Classifier/7. Build and Evaluate the Model.mp4
84.3 MB
32. Build a PyTorch Classifier with Non-Linearity/2. Review Neural Network Classification Without Non-Linearity.mp4
84.3 MB
51. Tune Multi-Class Classification TensorFlow Models/2. Review MNIST Fashion Multi-Class Classifier.mp4
83.3 MB
58. Combine LangChain Components for Coherent Apps/7. Challenge.mp4
83.1 MB
18. Build a Python Random Forest Classification Model/5. Train, Test, Predict, and Measure Model Performance.mp4
83.1 MB
14. Explore Feature Engineering and Data Preparation/2. What is Feature Engineering.mp4
82.8 MB
35. Discover What's New with PyTorch 2.0/1. Introduction.mp4
82.7 MB
19. Apply Regularization to Overcome Overfitting/2. What is Overfitting.mp4
82.7 MB
20. Build a Support Vector Machine Classifier/1. Introduction.mp4
82.3 MB
44. Visualize and Evaluate Performance with TensorFlow/3. Common Evaluation Metrics MAE, MSE, & Huber.mp4
81.9 MB
61. Use LangChain to Chat with PDFs and Documents/3. Maximum Margin Relevance.mp4
80.9 MB
42. Build a Simple Regression Model with TensorFlow/1. Introduction.mp4
80.8 MB
32. Build a PyTorch Classifier with Non-Linearity/6. Build a Neural Network Classification With Non-Linearity Step 4 Train Model .mp4
80.7 MB
31. Explore Neural Network Classification with PyTorch/5. Train and Evaluate Model.mp4
80.7 MB
57. Implement LangChain Memory for Autonomous Tasks/5. ConversationSummaryBufferMemory.mp4
80.6 MB
56. Implement LangChain in Language Model Workflows/4. Leverage Power of Templating for DRY Code.mp4
80.3 MB
39. Reshape, Transpose, and Alter TensorFlow Tensors/6. Challenge.mp4
79.7 MB
22. Explore Neural Network Basics With The Perceptron/5. Why Linearly Separable Data Is Key.mp4
79.1 MB
22. Explore Neural Network Basics With The Perceptron/8. Solution Video.mp4
79.1 MB
19. Apply Regularization to Overcome Overfitting/3. Three Options for Handling Overfitting.mp4
78.7 MB
28. Explore Gradient Descent & Back Propagation/4. Back Propagation.mp4
78.3 MB
34. Tune Hyperparameters and Analyze Fit with PyTorch/5. Explore Hyperparameter Tuning.mp4
78.1 MB
4. Setup a Machine Learning Development Environment/3. Anaconda, Conda and Jupyter - Starting and Ending a Session .mp4
77.8 MB
8. Setup a Machine Learning Development Environment/3. Starting and Ending a Session.mp4
77.8 MB
48. Build a TensorFlow Classifier with Non-Linearity/1. Review Non-Linearly Separable Data.mp4
77.8 MB
40. Squeeze, Encode, and Optimize TensorFlow Tensors/2. Squeezing Tensors.mp4
77.7 MB
26. Explore Fundamental PyTorch Tensor Operations/5. The Challenge.mp4
77.6 MB
1. Explore How AI Agents Navigate Driving Directions/7. Breadth-First Search.mp4
77.5 MB
5. Explore How AI Agents Navigate Driving Directions/7. Greedy-Best First and A Search.mp4
77.5 MB
18. Build a Python Random Forest Classification Model/3. Random Forest Concepts.mp4
77.4 MB
59. Build Task-Driven Autonomous Agents with LangChain/8. Challenge.mp4
77.2 MB
45. Normalize and Feature Scale Data with TensorFlow/1. Introduction.mp4
77.0 MB
20. Build a Support Vector Machine Classifier/5. Build and Evaluate the Model.mp4
77.0 MB
20. Build a Support Vector Machine Classifier/2. What is a Support Vector Machine.mp4
76.8 MB
53. Explore The Fundamentals of Large Language Models/7. Challenge Connect Google Colab to ChatGPT via OpenAI's API.mp4
76.8 MB
12. Implement Gradient Descent for Linear Regression/3. Exploring The Gradient Descent Algorithm.mp4
76.6 MB
2. Apply Probability to Real-World AI Problems/5. Bayesian Networks.mp4
76.6 MB
6. Apply Probability to Real-World AI Problems/5. Bayesian Networks.mp4
76.6 MB
12. Implement Gradient Descent for Linear Regression/2. Exploring Gradient Descent Concepts.mp4
76.3 MB
11. Examine Cost Functions and Parameter Tuning/1. Introduction.mp4
75.8 MB
10. Apply Regression Concepts for Supervised Learning/6. Challenge.mp4
75.3 MB
44. Visualize and Evaluate Performance with TensorFlow/2. Generate Linear Transformation Data.mp4
75.3 MB
25. Leverage PyTorch Tensor Attributes and Operators/5. The PyTorch Double Challenge.mp4
75.3 MB
60. Use LangChain to Interact with PDFs and Documents/4. Document Separation.mp4
75.1 MB
21. Build a K-Nearest Neighbors Classifier/2. What is K-Nearest Neighbors.mp4
75.1 MB
23. Implement a Perceptron for Classification/6. Solution Video.mp4
75.0 MB
35. Discover What's New with PyTorch 2.0/4. Traditional PyTorch 1.0 Vs PyTorch 2.0 torch.compile( ).mp4
74.8 MB
63. Examine the Fundamentals of HuggingFace/4. Datasets.mp4
74.5 MB
13. Vectorize Operations for Multiple Regression/2. Multiple Linear Regression.mp4
74.4 MB
60. Use LangChain to Interact with PDFs and Documents/5. Embeddings.mp4
74.2 MB
19. Apply Regularization to Overcome Overfitting/6. Perform Logistic Regression with Regularization.mp4
74.2 MB
48. Build a TensorFlow Classifier with Non-Linearity/3. Create Second Model.mp4
74.2 MB
14. Explore Feature Engineering and Data Preparation/4. Handling Outliers.mp4
74.0 MB
58. Combine LangChain Components for Coherent Apps/3. LLMChain.mp4
74.0 MB
43. Evaluate Regression Models with TensorFlow/3. Preprocess Data.mp4
73.8 MB
2. Apply Probability to Real-World AI Problems/3. Probability of Rolling Two 6-sided Dice.mp4
73.8 MB
6. Apply Probability to Real-World AI Problems/3. Probability of Rolling Two 6-sided Dice.mp4
73.8 MB
51. Tune Multi-Class Classification TensorFlow Models/6. Challenge.mp4
73.5 MB
61. Use LangChain to Chat with PDFs and Documents/6. Chat Q&A Part 2.mp4
73.5 MB
1. Explore How AI Agents Navigate Driving Directions/5. Depth-First Search.mp4
73.0 MB
5. Explore How AI Agents Navigate Driving Directions/5. Depth-First Search.mp4
73.0 MB
50. Explore Multi-Class Classification with TensorFlow/6. Solution Video.mp4
73.0 MB
25. Leverage PyTorch Tensor Attributes and Operators/2. Tensor attributes.mp4
72.9 MB
60. Use LangChain to Interact with PDFs and Documents/1. Introduction.mp4
72.9 MB
18. Build a Python Random Forest Classification Model/1. Introduction.mp4
72.3 MB
12. Implement Gradient Descent for Linear Regression/1. Introduction.mp4
72.3 MB
27. Apply PyTorch Tensor Manipulation and Indexing/3. Squeeze and Unsqueeze Tensors.mp4
72.0 MB
15. Identify Key Classification Algorithms/5. Random Forests.mp4
71.8 MB
19. Apply Regularization to Overcome Overfitting/5. Comparing Cost Functions.mp4
71.7 MB
21. Build a K-Nearest Neighbors Classifier/3. KNN vs. Other Classifiers.mp4
71.5 MB
35. Discover What's New with PyTorch 2.0/3. Key Features of PyTorch 2.0.mp4
71.3 MB
22. Explore Neural Network Basics With The Perceptron/3. Perceptrons As Artificial Neurons.mp4
70.6 MB
20. Build a Support Vector Machine Classifier/3. Optimal Hyperplanes and the Margin.mp4
70.5 MB
42. Build a Simple Regression Model with TensorFlow/4. Challenge Improve Model.mp4
70.0 MB
25. Leverage PyTorch Tensor Attributes and Operators/1. Introduction.mp4
70.0 MB
24. Explore PyTorch Fundamentals for Machine Learning/1. Introduction.mp4
69.7 MB
29. Predict Ice Cream Sales with PyTorch Regression/5. Mini-Challenge Model Training & Model Evaluation.mp4
69.7 MB
10. Apply Regression Concepts for Supervised Learning/4. Seaborn Line of Best Fit.mp4
69.6 MB
13. Vectorize Operations for Multiple Regression/3. Vectorization.mp4
69.1 MB
47. Build a Neural Network Classifier with TensorFlow/5. Visualize and Evaluate Model.mp4
68.9 MB
15. Identify Key Classification Algorithms/3. Logistic Regression.mp4
68.6 MB
31. Explore Neural Network Classification with PyTorch/4. Define Neural Network Architecture.mp4
68.6 MB
58. Combine LangChain Components for Coherent Apps/5. SequentialChain.mp4
68.5 MB
59. Build Task-Driven Autonomous Agents with LangChain/3. Perform math calculation using an Math LLM.mp4
68.5 MB
31. Explore Neural Network Classification with PyTorch/3. Load Make Moons Dataset & Pre-processing.mp4
68.0 MB
55. Design Effective Prompts for Large Language Models/4. Implement Supervised Learning Through Inference.mp4
67.9 MB
38. Implement Matrix Multiplication with TensorFlow/5. Perform Matrix Multiplication.mp4
67.9 MB
49. Evaluate TensorFlow Classification Models/1. Review Learning Rates.mp4
67.5 MB
16. Implement Logistic Regression with Python/2. What is Logistic Regression.mp4
67.5 MB
43. Evaluate Regression Models with TensorFlow/1. Introduction.mp4
67.2 MB
25. Leverage PyTorch Tensor Attributes and Operators/4. Matrix Multiplication.mp4
67.2 MB
44. Visualize and Evaluate Performance with TensorFlow/8. Solution Video.mp4
67.1 MB
41. Explore Neural Network Regression with TensorFlow/2. What is Regression Analysis.mp4
67.0 MB
40. Squeeze, Encode, and Optimize TensorFlow Tensors/7. Challenge Part 2.mp4
66.9 MB
39. Reshape, Transpose, and Alter TensorFlow Tensors/7. Solution Part 1.mp4
66.8 MB
29. Predict Ice Cream Sales with PyTorch Regression/6. Saving and Loading PyTorch Models.mp4
66.8 MB
24. Explore PyTorch Fundamentals for Machine Learning/2. What Is PyTorch and Why It Is Useful.mp4
66.7 MB
48. Build a TensorFlow Classifier with Non-Linearity/7. Solution.mp4
66.6 MB
45. Normalize and Feature Scale Data with TensorFlow/8. Challenge.mp4
66.6 MB
22. Explore Neural Network Basics With The Perceptron/7. Challenge Complete The Perceptron Function 🍩.mp4
66.5 MB
17. Build a Python Decision Tree Classification Model/3. Introduction.mp4
66.3 MB
46. Explore TensorFlow Neural Network Classification/6. Classification Code Example.mp4
65.7 MB
36. Explore TensorFlow Machine Learning Foundations/6. Challenge.mp4
65.5 MB
50. Explore Multi-Class Classification with TensorFlow/1. Compare Binary and Multi-Class Classification.mp4
65.2 MB
11. Examine Cost Functions and Parameter Tuning/5. Cost Functions.mp4
65.1 MB
59. Build Task-Driven Autonomous Agents with LangChain/4. Use Wikipedia to Find General Information.mp4
64.6 MB
1. Explore How AI Agents Navigate Driving Directions/4. Explore the Frontier.mp4
64.6 MB
5. Explore How AI Agents Navigate Driving Directions/4. Explore the Frontier.mp4
64.6 MB
47. Build a Neural Network Classifier with TensorFlow/3. Create Circles Dataset & EDA.mp4
64.1 MB
14. Explore Feature Engineering and Data Preparation/5. One Hot Encoding.mp4
64.0 MB
61. Use LangChain to Chat with PDFs and Documents/5. Chat Q&A Part 1.mp4
63.7 MB
46. Explore TensorFlow Neural Network Classification/5. What is Multi-Label Classification.mp4
63.5 MB
19. Apply Regularization to Overcome Overfitting/4. Overfitting for Classification.mp4
63.3 MB
57. Implement LangChain Memory for Autonomous Tasks/3. ConversationBufferWindowMemory.mp4
63.3 MB
11. Examine Cost Functions and Parameter Tuning/4. Root Mean Squared Error.mp4
62.9 MB
32. Build a PyTorch Classifier with Non-Linearity/3. Build a Neural Network Classification With Non-Linearity Step 1 Load Dataset, Pre-processing, and Make Circles.mp4
62.8 MB
30. Implement a Logistic Regression Model with PyTorch/1. Introduction.mp4
62.8 MB
56. Implement LangChain in Language Model Workflows/1. Introduction.mp4
62.6 MB
3. Define What is Machine Learning/4. Unsupervised.mp4
62.5 MB
7. Define What is Machine Learning/4. Unsupervised.mp4
62.5 MB
27. Apply PyTorch Tensor Manipulation and Indexing/5. Index Tensors.mp4
62.1 MB
53. Explore The Fundamentals of Large Language Models/1. Introduction.mp4
62.0 MB
42. Build a Simple Regression Model with TensorFlow/2. Build a Small Regression Model from Memory .mp4
62.0 MB
42. Build a Simple Regression Model with TensorFlow/5. Solution Part 1.mp4
62.0 MB
38. Implement Matrix Multiplication with TensorFlow/6. Challenge.mp4
61.6 MB
27. Apply PyTorch Tensor Manipulation and Indexing/6. Challenge Tensor Transformer.mp4
61.6 MB
2. Apply Probability to Real-World AI Problems/4. Conditional Probability.mp4
61.6 MB
6. Apply Probability to Real-World AI Problems/4. Conditional Probability.mp4
61.6 MB
31. Explore Neural Network Classification with PyTorch/2. Review Logistic Regression PyTorch Workflow.mp4
61.6 MB
31. Explore Neural Network Classification with PyTorch/1. Introduction.mp4
61.5 MB
24. Explore PyTorch Fundamentals for Machine Learning/5. Leverage Tensors Programmatically.mp4
61.4 MB
18. Build a Python Random Forest Classification Model/2. What is a Random Forest.mp4
61.1 MB
41. Explore Neural Network Regression with TensorFlow/5. Challenge.mp4
61.1 MB
38. Implement Matrix Multiplication with TensorFlow/4. Matrix Multiplication Foundations.mp4
61.1 MB
61. Use LangChain to Chat with PDFs and Documents/4. ContextualCompressionRetriever + MMR.mp4
59.7 MB
32. Build a PyTorch Classifier with Non-Linearity/8. Challenge PyTorch Workflows.mp4
59.1 MB
44. Visualize and Evaluate Performance with TensorFlow/6. Make Predictions and Evaluate Model.mp4
59.1 MB
15. Identify Key Classification Algorithms/4. Decision Trees.mp4
58.8 MB
43. Evaluate Regression Models with TensorFlow/2. Regression Challenge.mp4
58.5 MB
36. Explore TensorFlow Machine Learning Foundations/5. Create Random Tensors with Numpy.mp4
58.2 MB
51. Tune Multi-Class Classification TensorFlow Models/1. Introduction.mp4
58.2 MB
51. Tune Multi-Class Classification TensorFlow Models/3. Load and Visualize Dataset.mp4
57.9 MB
34. Tune Hyperparameters and Analyze Fit with PyTorch/2. Review Explore Multi-class Classification with PyTorch.mp4
57.4 MB
26. Explore Fundamental PyTorch Tensor Operations/3. Min, Max, Mean, and Sum (Tensor Aggregation).mp4
57.2 MB
34. Tune Hyperparameters and Analyze Fit with PyTorch/3. Create, Preprocess, and Visualize the Spiral Dataset.mp4
57.0 MB
52. Explore Multi-Label Classification with TensorFlow/3. Start Building a Multi-Label Classifier.mp4
56.9 MB
46. Explore TensorFlow Neural Network Classification/3. What is Binary Classification.mp4
56.8 MB
32. Build a PyTorch Classifier with Non-Linearity/4. Build a Neural Network Classification With Non-Linearity Step 2 Define Neural Network Architecture.mp4
56.6 MB
34. Tune Hyperparameters and Analyze Fit with PyTorch/8. Solution Video.mp4
56.6 MB
28. Explore Gradient Descent & Back Propagation/3. Forward Propagation.mp4
56.6 MB
32. Build a PyTorch Classifier with Non-Linearity/5. Build a Neural Network Classification With Non-Linearity Step 3 Add Non-Linear Activation Function ReLu.mp4
56.4 MB
62. Explore Transformer Encoders and Decoders/7. What is HuggingFace Again.mp4
56.1 MB
9. Explore Data Pipelines and Linear Regression/4. Predicting Lumber Prices Data Cleaning & Preprocessing.mp4
56.1 MB
29. Predict Ice Cream Sales with PyTorch Regression/7. Challenge.mp4
56.0 MB
58. Combine LangChain Components for Coherent Apps/4. SimpleSequentialChain.mp4
55.9 MB
33. Explore Multi-class Classification with PyTorch/3. Step 1 Setup and Prepare Data.mp4
55.6 MB
22. Explore Neural Network Basics With The Perceptron/4. How Activation Functions Work.mp4
55.6 MB
40. Squeeze, Encode, and Optimize TensorFlow Tensors/4. Numpy = Friend ❤️.mp4
55.4 MB
57. Implement LangChain Memory for Autonomous Tasks/1. Introduction.mp4
55.3 MB
40. Squeeze, Encode, and Optimize TensorFlow Tensors/5. GPU & TPU Tensor Optimization.mp4
55.0 MB
59. Build Task-Driven Autonomous Agents with LangChain/2. Leverage LangChain Agents.mp4
54.5 MB
21. Build a K-Nearest Neighbors Classifier/4. What is Imbalanced Data.mp4
54.5 MB
24. Explore PyTorch Fundamentals for Machine Learning/4. Leverage Tensors Concepts.mp4
54.5 MB
61. Use LangChain to Chat with PDFs and Documents/2. Similarity Search.mp4
54.4 MB
53. Explore The Fundamentals of Large Language Models/4. Two Kinds of LLMs Base and Instruction Tuned.mp4
54.4 MB
52. Explore Multi-Label Classification with TensorFlow/5. Evaluate Model.mp4
54.1 MB
15. Identify Key Classification Algorithms/7. Perceptrons.mp4
53.7 MB
26. Explore Fundamental PyTorch Tensor Operations/6. Solution Video.mp4
53.5 MB
21. Build a K-Nearest Neighbors Classifier/5. Data Loading and EDA.mp4
53.4 MB
51. Tune Multi-Class Classification TensorFlow Models/5. Softmax and Validation Exploration.mp4
52.8 MB
39. Reshape, Transpose, and Alter TensorFlow Tensors/2. Review Matrix Multiplication.mp4
52.8 MB
25. Leverage PyTorch Tensor Attributes and Operators/3. Tensor Math Operators.mp4
52.6 MB
51. Tune Multi-Class Classification TensorFlow Models/7. Solution Video.mp4
52.4 MB
43. Evaluate Regression Models with TensorFlow/4. Challenge Build Model.mp4
52.1 MB
16. Implement Logistic Regression with Python/3. The Sigmoid Formula and Function.mp4
51.8 MB
36. Explore TensorFlow Machine Learning Foundations/1. Introduction.mp4
51.0 MB
55. Design Effective Prompts for Large Language Models/1. Introduction.mp4
50.7 MB
36. Explore TensorFlow Machine Learning Foundations/2. Introduction to TensorFlow Tensors.mp4
50.2 MB
39. Reshape, Transpose, and Alter TensorFlow Tensors/5. Tensor Expansion.mp4
50.2 MB
45. Normalize and Feature Scale Data with TensorFlow/9. Solution Video.mp4
49.9 MB
47. Build a Neural Network Classifier with TensorFlow/7. Solution Video.mp4
49.8 MB
27. Apply PyTorch Tensor Manipulation and Indexing/4. Permute Tensors.mp4
49.3 MB
29. Predict Ice Cream Sales with PyTorch Regression/1. Introduction.mp4
49.0 MB
60. Use LangChain to Interact with PDFs and Documents/2. Retrieval Augmented Generation (RAG) over 2 Skills.mp4
49.0 MB
30. Implement a Logistic Regression Model with PyTorch/4. Part2 Build model.mp4
48.7 MB
52. Explore Multi-Label Classification with TensorFlow/4. Build a Sequential Multi-Label Model.mp4
48.7 MB
24. Explore PyTorch Fundamentals for Machine Learning/6. Challenge.mp4
48.6 MB
60. Use LangChain to Interact with PDFs and Documents/3. Document Loaders.mp4
48.5 MB
48. Build a TensorFlow Classifier with Non-Linearity/4. Create Third Model.mp4
48.1 MB
30. Implement a Logistic Regression Model with PyTorch/3. Part1 Import Libraries, Define Model. and Load the data.mp4
47.9 MB
44. Visualize and Evaluate Performance with TensorFlow/7. Challenge.mp4
47.4 MB
54. Build LLM Apps with ChatGPT and the OpenAI API/1. Introduction.mp4
47.4 MB
63. Examine the Fundamentals of HuggingFace/2. What is HuggingFace 🤗.mp4
46.9 MB
35. Discover What's New with PyTorch 2.0/5. Challenge .mp4
46.5 MB
24. Explore PyTorch Fundamentals for Machine Learning/3. Set up a PyTorch Development Environment.mp4
46.5 MB
33. Explore Multi-class Classification with PyTorch/7. Solution Videos Training Loop.mp4
46.2 MB
37. Explore TensorFlow Aggregation and Manipulation/1. Introduction.mp4
46.2 MB
34. Tune Hyperparameters and Analyze Fit with PyTorch/6. Explore Underfitting and Overfitting.mp4
46.1 MB
15. Identify Key Classification Algorithms/6. Support Vector Machines.mp4
45.8 MB
33. Explore Multi-class Classification with PyTorch/6. Challenge .mp4
45.5 MB
20. Build a Support Vector Machine Classifier/6. Breast Cancer Wisconsin (Diagnostic) Dataset.mp4
44.7 MB
58. Combine LangChain Components for Coherent Apps/2. Chaining in LangChain.mp4
44.7 MB
47. Build a Neural Network Classifier with TensorFlow/1. Introduction.mp4
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29. Predict Ice Cream Sales with PyTorch Regression/2. Device Agnostic Conditions & Load Data.mp4
43.8 MB
28. Explore Gradient Descent & Back Propagation/5. Training, Validation, and Test Datasets.mp4
43.5 MB
26. Explore Fundamental PyTorch Tensor Operations/4. Navigating Positional Min Max Values.mp4
43.3 MB
61. Use LangChain to Chat with PDFs and Documents/1. Introduction.mp4
43.3 MB
48. Build a TensorFlow Classifier with Non-Linearity/2. Create Circles DataSet.mp4
43.2 MB
31. Explore Neural Network Classification with PyTorch/7. Challenge PyTorch Workflow.mp4
42.7 MB
29. Predict Ice Cream Sales with PyTorch Regression/4. Model Building.mp4
42.7 MB
49. Evaluate TensorFlow Classification Models/2. Adaptive Learning Rates part 1.mp4
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27. Apply PyTorch Tensor Manipulation and Indexing/7. Solution Video.mp4
42.0 MB
33. Explore Multi-class Classification with PyTorch/5. Step 3 Define Neural Network Architecture.mp4
41.9 MB
23. Implement a Perceptron for Classification/5. The Perceptron Challenge.mp4
41.8 MB
11. Examine Cost Functions and Parameter Tuning/2. Mean Absolute Error.mp4
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47. Build a Neural Network Classifier with TensorFlow/8. Bonus Video.mp4
41.4 MB
62. Explore Transformer Encoders and Decoders/2. What are Transformers.mp4
41.3 MB
52. Explore Multi-Label Classification with TensorFlow/6. Challenge.mp4
41.1 MB
26. Explore Fundamental PyTorch Tensor Operations/1. Introduction.mp4
40.7 MB
40. Squeeze, Encode, and Optimize TensorFlow Tensors/3. One-Hot Encoding.mp4
40.7 MB
34. Tune Hyperparameters and Analyze Fit with PyTorch/7. Challenge .mp4
40.5 MB
33. Explore Multi-class Classification with PyTorch/4. Step 2 Visualize Data (EDA).mp4
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46. Explore TensorFlow Neural Network Classification/4. What is Multi-Class Classification.mp4
40.2 MB
33. Explore Multi-class Classification with PyTorch/8. Solution Videos Evaluation and Decision Boundary.mp4
39.8 MB
53. Explore The Fundamentals of Large Language Models/5. System Messages and Tokens.mp4
39.6 MB
62. Explore Transformer Encoders and Decoders/8. Solution Video.mp4
39.5 MB
39. Reshape, Transpose, and Alter TensorFlow Tensors/3. Altering Tensors.mp4
39.0 MB
46. Explore TensorFlow Neural Network Classification/8. Solution.mp4
38.8 MB
27. Apply PyTorch Tensor Manipulation and Indexing/1, Introduction.mp4
38.7 MB
26. Explore Fundamental PyTorch Tensor Operations/7. Bonus Resources.mp4
38.6 MB
13. Vectorize Operations for Multiple Regression/6. Vectorized Operations.mp4
38.5 MB
30. Implement a Logistic Regression Model with PyTorch/2. Review Sklearn Titanic Classification.mp4
38.3 MB
29. Predict Ice Cream Sales with PyTorch Regression/3. Pre-Processing.mp4
37.9 MB
45. Normalize and Feature Scale Data with TensorFlow/2. Handle Imports & Load Dataset.mp4
37.7 MB
35. Discover What's New with PyTorch 2.0/2. Universal Device Setup in PyTorch 2.0.mp4
37.7 MB
30. Implement a Logistic Regression Model with PyTorch/6. Challenge Part 1 Evaluate the Model .mp4
37.6 MB
1. Explore How AI Agents Navigate Driving Directions/1. Introduction.mp4
37.4 MB
5. Explore How AI Agents Navigate Driving Directions/1. Introduction.mp4
37.4 MB
30. Implement a Logistic Regression Model with PyTorch/5. Part 3 Fit model.mp4
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47. Build a Neural Network Classifier with TensorFlow/6. Challenge.mp4
37.3 MB
23. Implement a Perceptron for Classification/2. What is a Perceptron.mp4
36.8 MB
52. Explore Multi-Label Classification with TensorFlow/7. Solution Video.mp4
36.4 MB
53. Explore The Fundamentals of Large Language Models/3. How do LLMs work.mp4
36.4 MB
45. Normalize and Feature Scale Data with TensorFlow/5. Define Model Architecture.mp4
36.3 MB
47. Build a Neural Network Classifier with TensorFlow/4. Build, Compile, and Train Model.mp4
36.2 MB
57. Implement LangChain Memory for Autonomous Tasks/4. ConversationTokenBufferMemory.mp4
36.0 MB
44. Visualize and Evaluate Performance with TensorFlow/1. Introduction.mp4
35.9 MB
11. Examine Cost Functions and Parameter Tuning/3. Mean Squared Error.mp4
35.8 MB
22. Explore Neural Network Basics With The Perceptron/2. Neurons as the building blocks of neural networks.mp4
35.6 MB
44. Visualize and Evaluate Performance with TensorFlow/5. Define Basic Model Architecture.mp4
35.3 MB
37. Explore TensorFlow Aggregation and Manipulation/7. Tensor Positional Methods.mp4
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37. Explore TensorFlow Aggregation and Manipulation/6. Changing Tensor Data Types & Tensor Aggregation.mp4
34.2 MB
14. Explore Feature Engineering and Data Preparation/7. Measuring Survival Accuracy .mp4
34.0 MB
32. Build a PyTorch Classifier with Non-Linearity/7. Build a Neural Network Classification With Non-Linearity Step 5 Evaluate Model.mp4
33.7 MB
59. Build Task-Driven Autonomous Agents with LangChain/6. Create new custom agents and tooling (BabyAGI).mp4
33.1 MB
45. Normalize and Feature Scale Data with TensorFlow/3. One-hot Encode & Separate Features and Target.mp4
32.9 MB
45. Normalize and Feature Scale Data with TensorFlow/6. Evaluate Model and Visualize Loss.mp4
32.8 MB
53. Explore The Fundamentals of Large Language Models/6. System Messages and Tokens Part 2.mp4
32.8 MB
50. Explore Multi-Class Classification with TensorFlow/5. Challenge.mp4
32.4 MB
49. Evaluate TensorFlow Classification Models/6. Solution Video.mp4
32.2 MB
18. Build a Python Random Forest Classification Model/6. Bonus Hyperparameter Tuning Video.mp4
31.4 MB
52. Explore Multi-Label Classification with TensorFlow/1. Introduction.mp4
31.4 MB
2. Apply Probability to Real-World AI Problems/1. Introduction.mp4
31.3 MB
6. Apply Probability to Real-World AI Problems/1. Introduction.mp4
31.3 MB
62. Explore Transformer Encoders and Decoders/5. Decoders.mp4
31.0 MB
37. Explore TensorFlow Aggregation and Manipulation/9. Challenge 2.mp4
30.1 MB
49. Evaluate TensorFlow Classification Models/5. Big Five Evaluation Metrics.mp4
29.7 MB
49. Evaluate TensorFlow Classification Models/3. Adaptive Learning Rates part 2.mp4
29.5 MB
39. Reshape, Transpose, and Alter TensorFlow Tensors/4. Transpose & Reshape Tensors.mp4
29.4 MB
38. Implement Matrix Multiplication with TensorFlow/3. TensorFlow Math Functions.mp4
28.1 MB
37. Explore TensorFlow Aggregation and Manipulation/2. Why Shuffle Tensors.mp4
28.1 MB
40. Squeeze, Encode, and Optimize TensorFlow Tensors/1. Introduction.mp4
28.0 MB
56. Implement LangChain in Language Model Workflows/5. Challenge.mp4
27.4 MB
34. Tune Hyperparameters and Analyze Fit with PyTorch/4. Define Neural Network Architecture.mp4
26.9 MB
47. Build a Neural Network Classifier with TensorFlow/2. Pseudocode Image Classification.mp4
26.8 MB
62. Explore Transformer Encoders and Decoders/4. Encoders.mp4
25.2 MB
45. Normalize and Feature Scale Data with TensorFlow/4. Perform TrainTest Split.mp4
25.2 MB
37. Explore TensorFlow Aggregation and Manipulation/8. Challenge .mp4
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37. Explore TensorFlow Aggregation and Manipulation/4. Tensor Attributes.mp4
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39. Reshape, Transpose, and Alter TensorFlow Tensors/8. Solution Part 2.mp4
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37. Explore TensorFlow Aggregation and Manipulation/3. TensorFlow Seeds.mp4
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35. Discover What's New with PyTorch 2.0/6. Challenge 2.mp4
23.7 MB
40. Squeeze, Encode, and Optimize TensorFlow Tensors/6. Challenge.mp4
23.6 MB
32. Build a PyTorch Classifier with Non-Linearity/1. Introduction.mp4
23.1 MB
54. Build LLM Apps with ChatGPT and the OpenAI API/4. Evaluate Inputs to Prevent Prompt Injections.mp4
22.6 MB
36. Explore TensorFlow Machine Learning Foundations/3. Introduction to TensorFlow Tensors Part 2.mp4
22.4 MB
59. Build Task-Driven Autonomous Agents with LangChain/5. Program using a Python REPL tool.mp4
22.3 MB
2. Apply Probability to Real-World AI Problems/6. Recapitulation.mp4
21.7 MB
6. Apply Probability to Real-World AI Problems/6. Recapitulation.mp4
21.7 MB
50. Explore Multi-Class Classification with TensorFlow/3. Review Model Building Steps.mp4
21.5 MB
36. Explore TensorFlow Machine Learning Foundations/4. Create Tensors with TensorFlow.mp4
20.9 MB
38. Implement Matrix Multiplication with TensorFlow/1. Introduction.mp4
18.3 MB
38. Implement Matrix Multiplication with TensorFlow/2. Basic Tensor Operation.mp4
17.7 MB
62. Explore Transformer Encoders and Decoders/6. Encoder-Decoders.mp4
17.2 MB
28. Explore Gradient Descent & Back Propagation/2. Gradient Descent.mp4
17.2 MB
63. Examine the Fundamentals of HuggingFace/6. ChatGPT Competitor HuggingChat 🦾🤗.mp4
17.0 MB
33. Explore Multi-class Classification with PyTorch/1. Introduction.mp4
15.9 MB
37. Explore TensorFlow Aggregation and Manipulation/5. Tensor Indexing.mp4
15.2 MB
31. Explore Neural Network Classification with PyTorch/6. Visualize Decision Boundary with Probability.mp4
13.8 MB
48. Build a TensorFlow Classifier with Non-Linearity/6. Challenge.mp4
13.3 MB
45. Normalize and Feature Scale Data with TensorFlow/7. What is Normalization and Standardization.mp4
12.0 MB
39. Reshape, Transpose, and Alter TensorFlow Tensors/1. Introduction.mp4
11.9 MB
34. Tune Hyperparameters and Analyze Fit with PyTorch/1. Introduction.mp4
11.8 MB
41. Explore Neural Network Regression with TensorFlow/1. Introduction.mp4
10.8 MB
4. Setup a Machine Learning Development Environment/conda-cheatsheet.pdf
299.1 kB
Readme.txt
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3. Define What is Machine Learning/lumber_prediction_line.ipynb.txt
85 Bytes
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