learning python -移花宫 -武林禁地，闲人禁止入内

[ DevCourseWeb.com ] Udemy - Hands-On Machine Learning with scikit-learn and Python.zip

[ DevCourseWeb.com ] Udemy - Hands-On Machine Learning with scikit-learn and Python.zip 1.6 GB

[磁力链接] 添加时间:2021-05-02 大小:1.6 GB 最近下载:2025-10-28 热度:2679

Modern Deep Learning in Python

Modern Deep Learning in Python/17. Appendix/4. Windows-Focused Environment Setup 2018.mp4 195.4 MB
Modern Deep Learning in Python/15. PyTorch/1. PyTorch Basics.mp4 122.5 MB
Modern Deep Learning in Python/17. Appendix/10. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
Modern Deep Learning in Python/17. Appendix/2. What's the difference between neural networks and deep learning.mp4 47.3 MB
Modern Deep Learning in Python/11. Project Facial Expression Recognition/5. Class-Based ANN in Theano.mp4 46.1 MB
Modern Deep Learning in Python/17. Appendix/5. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
Modern Deep Learning in Python/17. Appendix/9. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
Modern Deep Learning in Python/14. Keras/3. Keras Functional API.mp4 40.5 MB
Modern Deep Learning in Python/17. Appendix/14. What order should I take your courses in (part 2).mp4 39.4 MB
Modern Deep Learning in Python/11. Project Facial Expression Recognition/6. Class-Based ANN in TensorFlow.mp4 39.2 MB
Modern Deep Learning in Python/15. PyTorch/3. PyTorch Batch Norm.mp4 35.5 MB
Modern Deep Learning in Python/15. PyTorch/2. PyTorch Dropout.mp4 34.3 MB
Modern Deep Learning in Python/17. Appendix/13. What order should I take your courses in (part 1).mp4 30.8 MB
Modern Deep Learning in Python/9. GPU Speedup, Homework, and Other Misc Topics/1. Setting up a GPU Instance on Amazon Web Services.mp4 26.9 MB
Modern Deep Learning in Python/17. Appendix/7. How to Code by Yourself (part 1).mp4 25.7 MB
Modern Deep Learning in Python/8. TensorFlow/2. Building a neural network in TensorFlow.mp4 25.0 MB
Modern Deep Learning in Python/8. TensorFlow/3. What is a Session (And more).mp4 24.7 MB
Modern Deep Learning in Python/2. Review/1. Review of Basic Concepts.mp4 24.5 MB
Modern Deep Learning in Python/12. Modern Regularization Techniques/2. Dropout Regularization.mp4 23.8 MB
Modern Deep Learning in Python/7. Theano/2. Building a neural network in Theano.mp4 22.8 MB

[磁力链接] 添加时间:2021-03-23 大小:1.6 GB 最近下载:2025-10-29 热度:2326

[Tutorialsplanet.NET] Udemy - Modern Deep Learning in Python

17. Appendix/4. Windows-Focused Environment Setup 2018.mp4 195.4 MB
15. PyTorch/1. PyTorch Basics.mp4 122.5 MB
17. Appendix/10. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
17. Appendix/2. What's the difference between neural networks and deep learning.mp4 47.3 MB
11. Project Facial Expression Recognition/5. Class-Based ANN in Theano.mp4 46.1 MB
17. Appendix/5. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
17. Appendix/9. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
14. Keras/3. Keras Functional API.mp4 40.5 MB
17. Appendix/14. What order should I take your courses in (part 2).mp4 39.4 MB
11. Project Facial Expression Recognition/6. Class-Based ANN in TensorFlow.mp4 39.2 MB
15. PyTorch/3. PyTorch Batch Norm.mp4 35.5 MB
15. PyTorch/2. PyTorch Dropout.mp4 34.3 MB
17. Appendix/13. What order should I take your courses in (part 1).mp4 30.8 MB
9. GPU Speedup, Homework, and Other Misc Topics/1. Setting up a GPU Instance on Amazon Web Services.mp4 26.9 MB
17. Appendix/7. How to Code by Yourself (part 1).mp4 25.7 MB
8. TensorFlow/2. Building a neural network in TensorFlow.mp4 25.0 MB
8. TensorFlow/3. What is a Session (And more).mp4 24.7 MB
2. Review/1. Review of Basic Concepts.mp4 24.5 MB
12. Modern Regularization Techniques/2. Dropout Regularization.mp4 23.8 MB
7. Theano/2. Building a neural network in Theano.mp4 22.8 MB

[磁力链接] 添加时间:2021-04-25 大小:1.6 GB 最近下载:2025-06-10 热度:204

[FreeCourseSite.com] Udemy - Master Deep Learning with TensorFlow in Python

14. Appendix Linear Algebra Fundamentals/11. Why is Linear Algebra Useful.mp4 151.3 MB
1. Welcome! Course introduction/1. Meet your instructors and why you should study machine learning.mp4 110.9 MB
14. Appendix Linear Algebra Fundamentals/3. Linear Algebra and Geometry.mp4 52.2 MB
14. Appendix Linear Algebra Fundamentals/10. Dot Product of Matrices.mp4 51.8 MB
2. Introduction to neural networks/24. N-parameter gradient descent.mp4 41.4 MB
2. Introduction to neural networks/12. The linear model. Multiple inputs and multiple outputs.mp4 40.1 MB
14. Appendix Linear Algebra Fundamentals/8. Transpose of a Matrix.mp4 39.9 MB
13. Business case/4. Preprocessing the data.mp4 36.0 MB
14. Appendix Linear Algebra Fundamentals/2. Scalars and Vectors.mp4 35.5 MB
14. Appendix Linear Algebra Fundamentals/1. What is a Matrix.mp4 35.2 MB
14. Appendix Linear Algebra Fundamentals/6. Addition and Subtraction of Matrices.mp4 34.2 MB
13. Business case/6. Create a class for batching.mp4 29.0 MB
14. Appendix Linear Algebra Fundamentals/4. Scalars, Vectors and Matrices in Python.mp4 28.0 MB
14. Appendix Linear Algebra Fundamentals/9. Dot Product of Vectors.mp4 25.2 MB
13. Business case/1. Exploring the dataset and identifying predictors.mp4 24.4 MB
14. Appendix Linear Algebra Fundamentals/5. Tensors.mp4 23.6 MB
12. The MNIST example/9. Discuss the results and test.mp4 23.0 MB
4. Minimal example - your first machine learning algorithm/4. Minimal example - part 4.mp4 21.8 MB
13. Business case/7. Outlining the model.mp4 20.4 MB
12. The MNIST example/4. Outlining the model.mp4 19.3 MB

[磁力链接] 添加时间:2021-03-10 大小:1.5 GB 最近下载:2025-10-24 热度:601

[DesireCourse.Net] Udemy - Master Deep Learning with TensorFlow in Python

14. Appendix Linear Algebra Fundamentals/11. Why is Linear Algebra Useful.mp4 151.3 MB
1. Welcome! Course introduction/1. Meet your instructors and why you should study machine learning.mp4 110.9 MB
14. Appendix Linear Algebra Fundamentals/3. Linear Algebra and Geometry.mp4 52.2 MB
14. Appendix Linear Algebra Fundamentals/10. Dot Product of Matrices.mp4 51.8 MB
2. Introduction to neural networks/24. N-parameter gradient descent.mp4 41.4 MB
2. Introduction to neural networks/12. The linear model. Multiple inputs and multiple outputs.mp4 40.1 MB
14. Appendix Linear Algebra Fundamentals/8. Transpose of a Matrix.mp4 39.9 MB
13. Business case/4. Preprocessing the data.mp4 36.0 MB
14. Appendix Linear Algebra Fundamentals/2. Scalars and Vectors.mp4 35.5 MB
14. Appendix Linear Algebra Fundamentals/1. What is a Matrix.mp4 35.2 MB
14. Appendix Linear Algebra Fundamentals/6. Addition and Subtraction of Matrices.mp4 34.2 MB
13. Business case/6. Create a class for batching.mp4 29.0 MB
14. Appendix Linear Algebra Fundamentals/4. Scalars, Vectors and Matrices in Python.mp4 28.0 MB
14. Appendix Linear Algebra Fundamentals/9. Dot Product of Vectors.mp4 25.2 MB
13. Business case/1. Exploring the dataset and identifying predictors.mp4 24.4 MB
14. Appendix Linear Algebra Fundamentals/5. Tensors.mp4 23.6 MB
12. The MNIST example/9. Discuss the results and test.mp4 23.0 MB
4. Minimal example - your first machine learning algorithm/4. Minimal example - part 4.mp4 21.8 MB
13. Business case/7. Outlining the model.mp4 20.4 MB
12. The MNIST example/4. Outlining the model.mp4 19.3 MB

[磁力链接] 添加时间:2022-02-07 大小:1.5 GB 最近下载:2025-10-27 热度:748

[FreeCourseLab.com] Udemy - Data Science Deep Learning in Python

10. Appendix/3. Windows-Focused Environment Setup 2018.mp4 195.4 MB
10. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
1. Welcome/2. Where does this course fit into your deep learning studies.mp4 56.7 MB
5. Training a neural network/8. Backpropagation in code.mp4 48.6 MB
10. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
7. TensorFlow, exercises, practice, and what to learn next/2. Visualizing what a neural network has learned using TensorFlow Playground.mp4 45.4 MB
10. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
2. Review/4. Neuron Training.mp4 40.4 MB
10. Appendix/15. What order should I take your courses in (part 2).mp4 39.4 MB
5. Training a neural network/4. How to Brace Yourself to Learn Backpropagation.mp4 39.1 MB
4. Classifying more than 2 things at a time/6. Feedforward in Slow-Mo (part 1).mp4 31.8 MB
10. Appendix/14. What order should I take your courses in (part 1).mp4 30.8 MB
2. Review/2. What does machine learning do.mp4 26.9 MB
6. Practical Machine Learning/4. Neural Networks for Regression.mp4 26.6 MB
8. Project Facial Expression Recognition/5. Facial Expression Recognition in Code (Binary Sigmoid).mp4 26.4 MB
10. Appendix/5. How to Code by Yourself (part 1).mp4 25.7 MB
2. Review/3. Neuron Predictions.mp4 25.6 MB
8. Project Facial Expression Recognition/7. Facial Expression Recognition in Code (ANN Softmax).mp4 24.6 MB
1. Welcome/3. Where to get the code.mp4 24.5 MB
9. Backpropagation Supplementary Lectures/3. Gradient Descent Tutorial.mp4 23.9 MB

[磁力链接] 添加时间:2022-03-18 大小:1.5 GB 最近下载:2025-02-23 热度:174

[FreeAllCourse.Com] Udemy - Deep Learning Recurrent Neural Networks in Python

8. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 195.5 MB
7. Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4 102.1 MB
7. Basics Review/1. (Review) Theano Basics.mp4 98.0 MB
7. Basics Review/2. (Review) Theano Neural Network in Code.mp4 91.3 MB
7. Basics Review/3. (Review) Tensorflow Basics.mp4 85.4 MB
8. Appendix FAQ/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
3. Recurrent Neural Networks for NLP/5. Generating Poetry in Code (part 1).mp4 55.0 MB
4. Advanced RNN Units/9. Learning from Wikipedia Data in Code (part 1).mp4 51.1 MB
3. Recurrent Neural Networks for NLP/8. Classifying Poetry in Code.mp4 48.1 MB
8. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
8. Appendix FAQ/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
2. The Simple Recurrent Unit/6. The Parity Problem in Code using a Feedforward ANN.mp4 40.2 MB
8. Appendix FAQ/10. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.6 MB
8. Appendix FAQ/14. What order should I take your courses in (part 2).mp4 39.4 MB
2. The Simple Recurrent Unit/8. The Parity Problem in Code using a Recurrent Neural Network.mp4 39.3 MB
8. Appendix FAQ/13. What order should I take your courses in (part 1).mp4 30.8 MB
4. Advanced RNN Units/10. Learning from Wikipedia Data in Code (part 2).mp4 26.9 MB
4. Advanced RNN Units/2. RRNN in Code - Revisiting Poetry Generation.mp4 26.7 MB
8. Appendix FAQ/5. How to Code by Yourself (part 1).mp4 25.7 MB
2. The Simple Recurrent Unit/7. Theano Scan Tutorial.mp4 24.9 MB

[磁力链接] 添加时间:2021-03-09 大小:1.5 GB 最近下载:2025-10-29 热度:3688

[ DevCourseWeb.com ] Udemy - Spatial Data Visualization and Machine Learning in Python

~Get Your Files Here !/4. Data Visualization/4. Creating a Magnitude Plot.mp4 153.1 MB
~Get Your Files Here !/3. Data Preparation/1. Data Preparation.mp4 121.7 MB
~Get Your Files Here !/5. Machine Learning/1. Data Pre-processing.mp4 120.1 MB
~Get Your Files Here !/4. Data Visualization/3. Creating a Doughnut Chart.mp4 108.2 MB
~Get Your Files Here !/5. Machine Learning/2. Building a Predictive Model.mp4 107.3 MB
~Get Your Files Here !/4. Data Visualization/5. Creating a Geo Map Plot.mp4 101.2 MB
~Get Your Files Here !/1. Introduction/1. Introduction.mp4 99.1 MB
~Get Your Files Here !/4. Data Visualization/1. Creating a Bar Chart.mp4 81.4 MB
~Get Your Files Here !/4. Data Visualization/6. Creating a Grid Plot.mp4 81.3 MB
~Get Your Files Here !/6. Building the Dashboard/3. Adding predicted data to our plots - Part 3.mp4 80.8 MB
~Get Your Files Here !/6. Building the Dashboard/2. Adding predicted data to our plots - Part 2.mp4 78.0 MB
~Get Your Files Here !/6. Building the Dashboard/1. Adding predicted data to our plots - Part 1.mp4 77.6 MB
~Get Your Files Here !/7. Creating the Dashboard Server/3. Building and Running the Server.mp4 71.1 MB
~Get Your Files Here !/4. Data Visualization/2. Creating a Line Chart.mp4 57.4 MB
~Get Your Files Here !/6. Building the Dashboard/4. Adding the Grid Plot.mp4 52.7 MB
~Get Your Files Here !/7. Creating the Dashboard Server/2. Creating the Project and Virtual Environment.mp4 46.0 MB
~Get Your Files Here !/2. Setup and Installations/2. Installing Bokeh.mp4 35.8 MB
~Get Your Files Here !/5. Machine Learning/3. Building a Prediction Dataset.mp4 33.3 MB
~Get Your Files Here !/2. Setup and Installations/1. Python Installation.mp4 20.2 MB
~Get Your Files Here !/7. Creating the Dashboard Server/1. Installing Visual Studio Code.mp4 6.3 MB

[磁力链接] 添加时间:2023-12-18 大小:1.5 GB 最近下载:2025-10-21 热度:4687

[ FreeCourseWeb.com ] Udemy - Machine Supervised Learning - Regression in Python 3 and Math.zip

[ FreeCourseWeb.com ] Udemy - Machine Supervised Learning - Regression in Python 3 and Math.zip 1.5 GB

[磁力链接] 添加时间:2021-05-18 大小:1.5 GB 最近下载:2025-09-27 热度:1415

[ FreeCourseWeb.com ] Udemy - Practical Introduction to Machine Learning with Python.zip

[ FreeCourseWeb.com ] Udemy - Practical Introduction to Machine Learning with Python.zip 1.5 GB

[磁力链接] 添加时间:2021-03-18 大小:1.5 GB 最近下载:2025-10-29 热度:988

[ CourseLala.com ] Udemy - Machine Learning with Python for 2022

~Get Your Files Here !/5. Logistic regression.mp4 225.0 MB
~Get Your Files Here !/6. Decision boundaries.mp4 219.5 MB
~Get Your Files Here !/11. K-means clustering with sklearn.mp4 182.0 MB
~Get Your Files Here !/4. sklearn pipeline.mp4 166.3 MB
~Get Your Files Here !/2. Train test split.mp4 147.9 MB
~Get Your Files Here !/7. Confusion Matrices.mp4 130.3 MB
~Get Your Files Here !/8. Recall and Precision.mp4 121.3 MB
~Get Your Files Here !/10. K-means clustering.mp4 118.5 MB
~Get Your Files Here !/1. Introduction Linear Regression.mp4 111.8 MB
~Get Your Files Here !/9. Regularization and standardization.mp4 35.4 MB
~Get Your Files Here !/3. Model evaluation.mp4 14.8 MB
~Get Your Files Here !/Bonus Resources.txt 357 Bytes
Get Bonus Downloads Here.url 180 Bytes

[磁力链接] 添加时间:2022-02-09 大小:1.5 GB 最近下载:2025-09-14 热度:1295

[ DevCourseWeb.com ] Udemy - Neural Networks in Python from Scratch - Learning by Doing

~Get Your Files Here !/01 - Introduction Interpolation & Machine learning/003 Interpolation (or regression) - The fundamental principle of machine learning.mp4 198.8 MB
~Get Your Files Here !/03 - Modifying the problem Sign of the sum of two numbers/002 Modify input, output & weights.mp4 94.1 MB
~Get Your Files Here !/02 - Your first neural network Sum of two numbers/003 What are neural networks.mp4 86.6 MB
~Get Your Files Here !/04 - Same code, different problem Image recognition/002 Apply our neural network to the new problem Number recognition.mp4 75.5 MB
~Get Your Files Here !/04 - Same code, different problem Image recognition/003 Improve the gradient function.mp4 68.5 MB
~Get Your Files Here !/02 - Your first neural network Sum of two numbers/007 Accuracy & Error functions.mp4 66.8 MB
~Get Your Files Here !/04 - Same code, different problem Image recognition/004 Analysis of the trained neural network.mp4 64.5 MB
~Get Your Files Here !/03 - Modifying the problem Sign of the sum of two numbers/005 Modify gradient of the error function.mp4 63.4 MB
~Get Your Files Here !/02 - Your first neural network Sum of two numbers/009 Training the neural network via gradient descent.mp4 61.4 MB
~Get Your Files Here !/03 - Modifying the problem Sign of the sum of two numbers/003 Add an activation function to the neural network.mp4 60.8 MB
~Get Your Files Here !/03 - Modifying the problem Sign of the sum of two numbers/006 Training & Testing the modified neural network.mp4 60.4 MB
~Get Your Files Here !/02 - Your first neural network Sum of two numbers/010 Using the trained network on the test data.mp4 50.2 MB
~Get Your Files Here !/03 - Modifying the problem Sign of the sum of two numbers/004 Modify accuracy and error functions.mp4 49.2 MB
~Get Your Files Here !/02 - Your first neural network Sum of two numbers/002 From interpolation to neural networks.mp4 49.2 MB
~Get Your Files Here !/01 - Introduction Interpolation & Machine learning/001 Overview of the course.mp4 48.2 MB
~Get Your Files Here !/06 - [Resources]/001 [Installation] Python and Jupyter Notebook via Anaconda.mp4 44.8 MB
~Get Your Files Here !/02 - Your first neural network Sum of two numbers/006 Initialize the weights & Calculate the output.mp4 44.8 MB
~Get Your Files Here !/02 - Your first neural network Sum of two numbers/005 Prepare the training and testing data.mp4 43.0 MB
~Get Your Files Here !/02 - Your first neural network Sum of two numbers/008 Gradient of the error function.mp4 41.1 MB
~Get Your Files Here !/05 - Outlook & Goodbye/002 Outlook Pretrained neural networks & Machine learning in Wolfram Mathematica.mp4 38.1 MB

[磁力链接] 添加时间:2024-02-03 大小:1.5 GB 最近下载:2025-10-23 热度:1025

[FreeCourseSite.com] Udemy - Deep Learning Recurrent Neural Networks in Python

8. Appendix/3. Windows-Focused Environment Setup 2018.mp4 195.5 MB
7. Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4 102.1 MB
7. Basics Review/1. (Review) Theano Basics.mp4 98.0 MB
7. Basics Review/2. (Review) Theano Neural Network in Code.mp4 91.3 MB
7. Basics Review/3. (Review) Tensorflow Basics.mp4 85.4 MB
8. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
3. Recurrent Neural Networks for NLP/5. Generating Poetry in Code (part 1).mp4 55.0 MB
4. Advanced RNN Units/9. Learning from Wikipedia Data in Code (part 1).mp4 51.1 MB
3. Recurrent Neural Networks for NLP/8. Classifying Poetry in Code.mp4 48.1 MB
8. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
8. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
2. The Simple Recurrent Unit/6. The Parity Problem in Code using a Feedforward ANN.mp4 40.2 MB
8. Appendix/14. What order should I take your courses in (part 2).mp4 39.4 MB
2. The Simple Recurrent Unit/8. The Parity Problem in Code using a Recurrent Neural Network.mp4 39.3 MB
8. Appendix/13. What order should I take your courses in (part 1).mp4 30.8 MB
4. Advanced RNN Units/10. Learning from Wikipedia Data in Code (part 2).mp4 26.9 MB
4. Advanced RNN Units/2. RRNN in Code - Revisiting Poetry Generation.mp4 26.6 MB
8. Appendix/5. How to Code by Yourself (part 1).mp4 25.7 MB
2. The Simple Recurrent Unit/7. Theano Scan Tutorial.mp4 24.9 MB
4. Advanced RNN Units/11. Visualizing the Word Embeddings.mp4 24.6 MB

[磁力链接] 添加时间:2021-03-08 大小:1.5 GB 最近下载:2025-08-18 热度:1910

[DesireCourse.Net] Udemy - Bayesian Machine Learning in Python AB Testing

7. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.mp4 195.5 MB
8. Extra Help With Python Coding for Beginners/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
4. Traditional AB Testing/9. CTR AB Test in Code.mp4 59.7 MB
2. The High-Level Picture/2. What is Bayesian Machine Learning.mp4 57.3 MB
6. Practice Makes Perfect/6. The most important quiz of all - Obtaining an infinite amount of practice.mp4 52.4 MB
7. Setting Up Your Environment/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
3. Bayes Rule and Probability Review/6. Maximum Likelihood Estimation - Bernoulli.mp4 45.9 MB
5. Bayesian AB Testing/2. More about the Explore-Exploit Dilemma.mp4 45.9 MB
3. Bayes Rule and Probability Review/3. Calculating Probabilities - Practice.mp4 43.8 MB
3. Bayes Rule and Probability Review/8. Maximum Likelihood Estimation - Gaussian (pt 1).mp4 42.9 MB
9. Effective Learning Strategies for Machine Learning/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
2. The High-Level Picture/1. Real-World Examples of AB Testing.mp4 40.4 MB
10. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
9. Effective Learning Strategies for Machine Learning/4. What order should I take your courses in (part 2).mp4 39.5 MB
3. Bayes Rule and Probability Review/9. Maximum Likelihood Estimation - Gaussian (pt 2).mp4 33.6 MB
1. Introduction and Outline/2. Where to get the code for this course.mp4 31.9 MB
9. Effective Learning Strategies for Machine Learning/3. What order should I take your courses in (part 1).mp4 30.8 MB
1. Introduction and Outline/1. What's this course all about.mp4 30.7 MB
3. Bayes Rule and Probability Review/5. The Monty Hall Problem.mp4 29.4 MB
1. Introduction and Outline/3. How to succeed in this course.mp4 29.3 MB

[磁力链接] 添加时间:2021-03-09 大小:1.5 GB 最近下载:2025-10-19 热度:2815

[Tutorialsplanet.NET] Udemy - Bayesian Machine Learning in Python AB Testing

7. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.mp4 195.5 MB
8. Extra Help With Python Coding for Beginners/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
4. Traditional AB Testing/9. CTR AB Test in Code.mp4 59.7 MB
2. The High-Level Picture/2. What is Bayesian Machine Learning.mp4 57.3 MB
6. Practice Makes Perfect/6. The most important quiz of all - Obtaining an infinite amount of practice.mp4 52.4 MB
7. Setting Up Your Environment/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
3. Bayes Rule and Probability Review/6. Maximum Likelihood Estimation - Bernoulli.mp4 45.9 MB
5. Bayesian AB Testing/2. More about the Explore-Exploit Dilemma.mp4 45.9 MB
3. Bayes Rule and Probability Review/3. Calculating Probabilities - Practice.mp4 43.8 MB
3. Bayes Rule and Probability Review/8. Maximum Likelihood Estimation - Gaussian (pt 1).mp4 42.9 MB
9. Effective Learning Strategies for Machine Learning/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
2. The High-Level Picture/1. Real-World Examples of AB Testing.mp4 40.4 MB
10. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
9. Effective Learning Strategies for Machine Learning/4. What order should I take your courses in (part 2).mp4 39.5 MB
3. Bayes Rule and Probability Review/9. Maximum Likelihood Estimation - Gaussian (pt 2).mp4 33.6 MB
1. Introduction and Outline/2. Where to get the code for this course.mp4 31.9 MB
9. Effective Learning Strategies for Machine Learning/3. What order should I take your courses in (part 1).mp4 30.7 MB
1. Introduction and Outline/1. What's this course all about.mp4 30.7 MB
3. Bayes Rule and Probability Review/5. The Monty Hall Problem.mp4 29.4 MB
1. Introduction and Outline/3. How to succeed in this course.mp4 29.3 MB

[磁力链接] 添加时间:2021-04-01 大小:1.5 GB 最近下载:2024-04-11 热度:660

[ DevCourseWeb.com ] Udemy - Hands On Python Course for Deep Learning in Computer Vision

~Get Your Files Here !/2. Task 1, Part 1 The Cats v Dogs Binary Classification Computer Vision Task/2. Task 1, Part 2.mp4 329.5 MB
~Get Your Files Here !/2. Task 1, Part 1 The Cats v Dogs Binary Classification Computer Vision Task/3. Task 1, Part 3.mp4 224.1 MB
~Get Your Files Here !/4. Task 3 Using Python for transfer learning on the Caltech-101 Vision Dataset/2. Task 3, Part 2.mp4 206.9 MB
~Get Your Files Here !/4. Task 3 Using Python for transfer learning on the Caltech-101 Vision Dataset/1. Task 3, Part 1.mp4 176.7 MB
~Get Your Files Here !/2. Task 1, Part 1 The Cats v Dogs Binary Classification Computer Vision Task/1. Task 1, Part 1.mp4 166.8 MB
~Get Your Files Here !/3. Task 2 Using Python for classifying the MNIST Computer Vision Task/1. Task 2, Lecture 1.mp4 118.8 MB
~Get Your Files Here !/3. Task 2 Using Python for classifying the MNIST Computer Vision Task/2. Task 2, Lecture 2.mp4 112.8 MB
~Get Your Files Here !/1. Introduction/1. Welcome and Introduction.mp4 110.1 MB
~Get Your Files Here !/4. Task 3 Using Python for transfer learning on the Caltech-101 Vision Dataset/1.1 CALTECH101_TransferLearning.ipynb 641.4 kB
~Get Your Files Here !/3. Task 2 Using Python for classifying the MNIST Computer Vision Task/1.1 MNIST_Classification.ipynb 44.2 kB
~Get Your Files Here !/2. Task 1, Part 1 The Cats v Dogs Binary Classification Computer Vision Task/1.1 Cats_vs_Dogs_with_Data_Augmentation_CNN.ipynb 29.0 kB
~Get Your Files Here !/Bonus Resources.txt 386 Bytes
Get Bonus Downloads Here.url 182 Bytes

[磁力链接] 添加时间:2024-03-11 大小:1.4 GB 最近下载:2025-10-30 热度:2363

Master Deep Learning with TensorFlow in Python

Master Deep Learning with TensorFlow in Python.zip 1.4 GB
Download more courses.url 123 Bytes
Downloaded from TutsGalaxy.com.txt 73 Bytes
TutsGalaxy.com.txt 52 Bytes

[磁力链接] 添加时间:2021-03-08 大小:1.4 GB 最近下载:2025-10-26 热度:6166

The Complete Ethical Hacking Course Bundle This Book Includes Python Machine Learning, SQL, Linux, Hacking with Kali Linux, Hack Websites, Smartphones, Coding, and Cybersecurity Fundamentals

TheCompleteEthicalHackingCourseBundleThisBookIncludesPythonMachineLearningSQLLinuxHacki_ep6.m4b 1.4 GB

[磁力链接] 添加时间:2024-03-01 大小:1.4 GB 最近下载:2025-10-29 热度:14863

The Complete Ethical Hacking Course Bundle This Book Includes Python Machine Learning, SQL, Linux, Hacking with Kali Linux, Hack Websites, Smartphones, Coding, and Cybersecurity Fundamentals

TheCompleteEthicalHackingCourseBundleThisBookIncludesPythonMachineLearningSQLLinuxHacki_ep6.m4b 1.4 GB

[磁力链接] 添加时间:2025-07-03 大小:1.4 GB 最近下载:2025-10-29 热度:339

[ FreeCourseWeb.com ] Machine Learning using Python - Udemy

~Get Your Files Here !/05 Evaluation Metrics/004 Classification Reports in Evaluation Metrics.mp4 104.6 MB
~Get Your Files Here !/05 Evaluation Metrics/002 Example of Evaluation Metrics.mp4 89.0 MB
~Get Your Files Here !/03 Linear Regression/001 Linear Regression in ML.mp4 75.0 MB
~Get Your Files Here !/03 Linear Regression/004 Support Vector Algorithm in ML.mp4 74.1 MB
~Get Your Files Here !/03 Linear Regression/003 Linear Regression Example Continues.mp4 71.3 MB
~Get Your Files Here !/04 Classifier and Python Package/004 Apriori Python Package.mp4 66.7 MB
~Get Your Files Here !/05 Evaluation Metrics/005 Example of MAE, MSE and Variance using Evaluation Metrics.mp4 64.9 MB
~Get Your Files Here !/06 Missing Value/002 Handling Missing Values in Python Continues.mp4 63.9 MB
~Get Your Files Here !/04 Classifier and Python Package/003 K Mean Clustering.mp4 62.0 MB
~Get Your Files Here !/04 Classifier and Python Package/001 Decision Tree Classifier.mp4 61.6 MB
~Get Your Files Here !/02 Usage of Machine Learning Packages in Python/001 Installation of Python.mp4 61.3 MB
~Get Your Files Here !/02 Usage of Machine Learning Packages in Python/002 Example of Machine Learning Using Python.mp4 60.8 MB
~Get Your Files Here !/06 Missing Value/001 Handling Missing Values in Python.mp4 57.9 MB
~Get Your Files Here !/03 Linear Regression/002 Linear Regression Example.mp4 57.0 MB
~Get Your Files Here !/05 Evaluation Metrics/001 Evaluation Metrics.mp4 55.5 MB
~Get Your Files Here !/05 Evaluation Metrics/006 Sea Born Example using Evaluation Metrics.mp4 54.1 MB
~Get Your Files Here !/04 Classifier and Python Package/002 Random Forest Classification.mp4 53.0 MB
~Get Your Files Here !/06 Missing Value/003 Exception Handling in Python.mp4 50.5 MB
~Get Your Files Here !/06 Missing Value/004 More on Exception Handling in Python.mp4 50.2 MB
~Get Your Files Here !/05 Evaluation Metrics/003 Confusion Matix in Evaluation Metrics.mp4 49.1 MB

[磁力链接] 添加时间:2022-03-04 大小:1.4 GB 最近下载:2025-05-26 热度:158