learning python -移花宫 -武林禁地，闲人禁止入内

[FreeCourseSite.com] Udemy - Machine Learning & Deep Learning in Python & R

27 ANN in R/008 Saving - Restoring Models and Using Callbacks.mp4 226.5 MB
37 Time Series - Preprocessing in Python/003 Time Series - Visualization in Python.mp4 173.2 MB
18 Ensemble technique 3 - Boosting/007 XGBoosting in R.mp4 169.1 MB
26 ANN in Python/009 Building Neural Network for Regression Problem.mp4 163.5 MB
26 ANN in Python/011 Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
23 Creating Support Vector Machine Model in R/004 Classification SVM model using Linear Kernel.mp4 145.9 MB
27 ANN in R/006 Building Regression Model with Functional API.mp4 137.5 MB
27 ANN in R/003 Building,Compiling and Training.mp4 137.1 MB
34 Transfer Learning _ Basics/006 Project - Transfer Learning - VGG16.mp4 135.4 MB
07 Linear Regression/020 Ridge regression and Lasso in Python.mp4 135.1 MB
25 Neural Networks - Stacking cells to create network/003 Back Propagation.mp4 128.1 MB
38 Time Series - Important Concepts/005 Differencing in Python.mp4 118.5 MB
37 Time Series - Preprocessing in Python/005 Time Series - Feature Engineering in Python.mp4 118.2 MB
27 ANN in R/002 Data Normalization and Test-Train Split.mp4 117.2 MB
05 Introduction to Machine Learning/001 Introduction to Machine Learning.mp4 114.5 MB
37 Time Series - Preprocessing in Python/001 Data Loading in Python.mp4 114.1 MB
23 Creating Support Vector Machine Model in R/008 SVM based Regression Model in R.mp4 111.3 MB
07 Linear Regression/021 Ridge regression and Lasso in R.mp4 108.5 MB
14 Simple Decision Trees/013 Building a Regression Tree in R.mp4 108.3 MB
35 Transfer Learning in R/001 Project - Transfer Learning - VGG16 (Implementation).mp4 106.5 MB

[磁力链接] 添加时间:2022-04-21 大小:14.1 GB 最近下载:2025-05-15 热度:464

[FreeCourseSite.com] Udemy - Machine Learning Natural Language Processing in Python (V2)

02 - Vector Models and Text Preprocessing/014 TF-IDF (Code).mp4 131.0 MB
08 - Spam Detection/006 Spam Detection in Python.mp4 112.8 MB
06 - Cipher Decryption (Advanced)/004 Genetic Algorithms.mp4 110.3 MB
02 - Vector Models and Text Preprocessing/010 Count Vectorizer (Code).mp4 106.9 MB
05 - Article Spinner (Intermediate)/004 Article Spinner in Python (pt 1).mp4 100.6 MB
02 - Vector Models and Text Preprocessing/016 How to Build TF-IDF From Scratch.mp4 83.7 MB
05 - Article Spinner (Intermediate)/005 Article Spinner in Python (pt 2).mp4 79.0 MB
02 - Vector Models and Text Preprocessing/009 Stemming and Lemmatization Demo.mp4 78.5 MB
02 - Vector Models and Text Preprocessing/006 Tokenization.mp4 77.1 MB
01 - Introduction/001 Introduction and Outline.mp4 76.5 MB
04 - Markov Models (Intermediate)/008 Building a Text Classifier (Code pt 2).mp4 75.7 MB
02 - Vector Models and Text Preprocessing/018 Neural Word Embeddings Demo.mp4 70.1 MB
06 - Cipher Decryption (Advanced)/003 Language Models (Review).mp4 68.7 MB
09 - Sentiment Analysis/002 Logistic Regression Intuition (pt 1).mp4 66.7 MB
01 - Introduction/002 Where to get the Code.mp4 66.0 MB
04 - Markov Models (Intermediate)/011 Language Model (Code pt 1).mp4 65.9 MB
08 - Spam Detection/004 Aside Class Imbalance, ROC, AUC, and F1 Score (pt 1).mp4 63.1 MB
02 - Vector Models and Text Preprocessing/012 TF-IDF (Theory).mp4 61.4 MB
02 - Vector Models and Text Preprocessing/008 Stemming and Lemmatization.mp4 60.7 MB
04 - Markov Models (Intermediate)/007 Building a Text Classifier (Code pt 1).mp4 60.5 MB

[磁力链接] 添加时间:2022-01-10 大小:3.1 GB 最近下载:2025-05-12 热度:535

[Tutorialsplanet.NET] Udemy - Data Science Supervised Machine Learning in Python

9. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.mp4 195.4 MB
3. Naive Bayes and Bayes Classifiers/1. Bayes Classifier Intuition (Continuous).mp4 84.1 MB
10. Extra Help With Python Coding for Beginners/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
3. Naive Bayes and Bayes Classifiers/2. Bayes Classifier Intuition (Discrete).mp4 52.5 MB
9. Setting Up Your Environment/2. How to install Numpy, Scipy, Matplotlib, and Sci-Kit Learn.mp4 46.1 MB
11. Effective Learning Strategies for Machine Learning/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
12. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
11. Effective Learning Strategies for Machine Learning/4. What order should I take your courses in (part 2).mp4 39.4 MB
2. K-Nearest Neighbor/7. Effect of K.mp4 37.6 MB
4. Decision Trees/6. Decision Tree in Code.mp4 31.8 MB
11. Effective Learning Strategies for Machine Learning/3. What order should I take your courses in (part 1).mp4 30.8 MB
10. Extra Help With Python Coding for Beginners/1. How to Code by Yourself (part 1).mp4 25.7 MB
4. Decision Trees/1. Decision Tree Intuition.mp4 21.4 MB
2. K-Nearest Neighbor/3. KNN in Code with MNIST.mp4 18.8 MB
2. K-Nearest Neighbor/1. K-Nearest Neighbor Intuition.mp4 18.4 MB
2. K-Nearest Neighbor/8. KNN Exercise.mp4 17.7 MB
2. K-Nearest Neighbor/9. Suggestion Box.mp4 16.9 MB
6. Practical Machine Learning/5. Sci-Kit Learn.mp4 16.6 MB
3. Naive Bayes and Bayes Classifiers/3. Naive Bayes.mp4 16.5 MB
10. Extra Help With Python Coding for Beginners/2. How to Code by Yourself (part 2).mp4 15.5 MB

[磁力链接] 添加时间:2021-03-29 大小:1.1 GB 最近下载:2025-05-12 热度:146

[ FreeCourseWeb.com ] Practical Data Science with Python (Learning Path).zip

[ FreeCourseWeb.com ] Practical Data Science with Python (Learning Path).zip 3.3 GB

[磁力链接] 添加时间:2021-04-27 大小:3.3 GB 最近下载:2025-05-12 热度:429

[FreeCourseLab.com] Udemy - Complete Guide to TensorFlow for Deep Learning with Python

1. Introduction/2.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip 314.2 MB
1. Introduction/3.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip 314.2 MB
6. TensorFlow Basics/8. TensorFlow Regression Example _ Part Two.mp4 60.6 MB
7. Convolutional Neural Networks/13. CNN Project Exercise Solution - Part One.mp4 52.6 MB
10. AutoEncoders/5. Stacked Autoencoder.mp4 46.1 MB
5. Introduction to Neural Networks/11. Manual Neural Network Classification Task.mp4 42.5 MB
9. Miscellaneous Topics/6. Tensorboard.mp4 41.9 MB
10. AutoEncoders/2. Dimensionality Reduction with Linear Autoencoder.mp4 39.4 MB
11. Reinforcement Learning with OpenAI Gym/8. Simple Neural Network Game.mp4 37.6 MB
8. Recurrent Neural Networks/15. Word2Vec Code Along - Part One.mp4 37.3 MB
8. Recurrent Neural Networks/12. Time Series Exercise Solution.mp4 36.8 MB
7. Convolutional Neural Networks/7. MNIST Basic Approach Part Two.mp4 36.6 MB
8. Recurrent Neural Networks/7. RNN with TensorFlow - Part One.mp4 35.7 MB
8. Recurrent Neural Networks/16. Word2Vec Part Two.mp4 35.0 MB
9. Miscellaneous Topics/4. Deep Nets with Tensorflow Abstractions API - Keras.mp4 35.0 MB
11. Reinforcement Learning with OpenAI Gym/11. Policy Gradient Code Along Part Two.mp4 34.5 MB
4. Crash Course Overview/2. NumPy Crash Course.mp4 34.1 MB
6. TensorFlow Basics/6. TensorFlow - A Neural Network - Part Two.mp4 34.1 MB
6. TensorFlow Basics/10. TensorFlow Classification Example - Part Two.mp4 33.5 MB
3. What is Machine Learning/1. Machine Learning Overview.mp4 31.9 MB

[磁力链接] 添加时间:2021-04-02 大小:2.4 GB 最近下载:2025-05-09 热度:118

[GigaCourse.Com] Udemy - Bayesian Machine Learning in Python AB Testing

8 - Setting Up Your Environment FAQ by Student Request/68 - Anaconda Environment Setup.mp4 323.2 MB
8 - Setting Up Your Environment FAQ by Student Request/69 - How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 200.8 MB
10 - Effective Learning Strategies for Machine Learning FAQ by Student Request/77 - Machine Learning and AI Prerequisite Roadmap pt 2.mp4 142.4 MB
10 - Effective Learning Strategies for Machine Learning FAQ by Student Request/76 - Machine Learning and AI Prerequisite Roadmap pt 1.mp4 124.1 MB
9 - Extra Help With Python Coding for Beginners FAQ by Student Request/72 - Proof that using Jupyter Notebook is the same as not using it.mp4 113.3 MB
9 - Extra Help With Python Coding for Beginners FAQ by Student Request/70 - How to Code by Yourself part 1.mp4 97.5 MB
4 - Traditional AB Testing/33 - ZTest Code pt 1.mp4 87.4 MB
11 - Appendix FAQ Finale/79 - BONUS.mp4 63.8 MB
10 - Effective Learning Strategies for Machine Learning FAQ by Student Request/75 - Is this for Beginners or Experts Academic or Practical Fast or slowpaced.mp4 62.4 MB
5 - Bayesian AB Testing/55 - Thompson Sampling With Gaussian Reward Theory.mp4 56.1 MB
7 - Practice Makes Perfect/67 - The most important quiz of all Obtaining an infinite amount of practice.mp4 54.6 MB
5 - Bayesian AB Testing/38 - Applications of the ExploreExploit Dilemma.mp4 49.3 MB
5 - Bayesian AB Testing/52 - Bayesian Bandits Thompson Sampling Theory pt 2.mp4 44.0 MB
3 - Bayes Rule and Probability Review/19 - Suggestion Box.mp4 41.7 MB
5 - Bayesian AB Testing/56 - Thompson Sampling With Gaussian Reward Code.mp4 36.6 MB
1 - Introduction and Outline/2 - Where to get the code for this course.mp4 36.4 MB
4 - Traditional AB Testing/34 - ZTest Code pt 2.mp4 35.5 MB
5 - Bayesian AB Testing/61 - Optional Alternative Bandit Designs.mp4 35.3 MB
3 - Bayes Rule and Probability Review/16 - Probability Review in Code.mp4 34.1 MB
5 - Bayesian AB Testing/48 - UCB1 Theory.mp4 33.6 MB

[磁力链接] 添加时间:2024-03-09 大小:2.8 GB 最近下载:2025-05-08 热度:1756

Packt Publishing - Python Machine Learning Projects

Packt Publishing - Python Machine Learning Projects.iso 628.9 MB
More_info.txt 658 Bytes

[磁力链接] 添加时间:2017-02-10 大小:628.9 MB 最近下载:2025-05-05 热度:369

Combo.4.Modulos.Machine.Learning.Com.Python

7. Módulo 1 - Confusion matrix e normalização/2. Medição de desempenho ROCAUC (Conceito + Matemática o que o algoritmo faz debaixo dos panos)/1. aula.mp4 1.4 GB
22. Módulo 2 - Support Vector Machine (SVM)/1. SVM (Conceito + Matemática o que o algoritmo faz debaixo dos panos) – parte 1/1. SVMteoria1.mp4 1.3 GB
10. Módulo 1 - Decision Trees/1. Decision Trees (Conceito + Matemática o que o algoritmo faz debaixo dos panos) – Parte 1 entropia/1. aula.mp4 1.2 GB
23. Módulo 2 - Sistemas de Recomendação/5. Método Matrix Factorization SVD++ (Teoria)/1. Matrix Factorization.mp4 1.2 GB
16. Módulo 2 - PCA/1. Principal Component Analysis - PCA (Conceito + Matemática o que o algoritmo faz debaixo dos panos)/1. aula.mp4 1.2 GB
19. Módulo 2 - AdaBoost/1. AdaBoost (Conceito + Matemática o que o algoritmo faz debaixo dos panos)/1. ADAboostTeoria.mp4 1.1 GB
30. Módulo 3 - Visão Computacional/46. Style Transfer (teoria)/1. Style Transfer Teoria.mp4 1.0 GB
15. Módulo 2 - Aprendizado não supervisionado/2. Clustering K Means (Conceito + Matemática o que o algoritmo faz debaixo dos panos)/1. aula.mp4 1.0 GB
20. Módulo 2 - GradientBoosting/1. GradientBoosting (Conceito + Matemática o que o algoritmo faz debaixo dos panos) – parte 1/1. GB teoria 1.mp4 857.4 MB
5. Módulo 1 - Validação cruzada e ajuste fino dos parâmetros/1. Validação cruzada Kfold (Teoria o que o algoritmo faz debaixo dos panos)/1. Kfold Teoria.mp4 818.2 MB
4. Módulo 1 - Outros modelos de regressão linear/1. Ridge regression (Conceito + Matemática o que o algoritmo faz debaixo dos panos)/1. Ridge regression.mp4 813.3 MB
36. Módulo 4 - Aprendizado por Reforço/131. Como o Alpha-Zero funciona/1. Alphazero.mp4 812.7 MB
22. Módulo 2 - Support Vector Machine (SVM)/2. SVM (Conceito + Matemática o que o algoritmo faz debaixo dos panos) – parte 2/1. SVMteoria2.mp4 743.7 MB
10. Módulo 1 - Decision Trees/4. Decision Trees (Conceito + Matemática o que o algoritmo faz debaixo dos panos) – Parte 3 regressão/1. aula.mp4 734.4 MB
11. Módulo 1 - Feature Selection/3. Feature selection qui-quadrado (Conceito + Matemática o que o algoritmo faz debaixo dos panos)/1. aula.mp4 732.4 MB
11. Módulo 1 - Feature Selection/5. Feature selection f_classif (Conceito + Matemática o que o algoritmo faz debaixo dos panos)/1. aula.mp4 707.8 MB
20. Módulo 2 - GradientBoosting/2. GradientBoosting (Conceito + Matemática o que o algoritmo faz debaixo dos panos) – parte 2/1. GB teoria 2.mp4 707.8 MB
10. Módulo 1 - Decision Trees/2. Decision Trees (Conceito + Matemática o que o algoritmo faz debaixo dos panos) – Parte 2 índice GINI/1. aula.mp4 689.0 MB
25. Módulo 2 - Testando seus Conhecimentos/1. Buscando a melhor performance possível/1. MelhorPerformance.mp4 655.8 MB
34. Módulo 4 - Séries Temporais e Redes Neurais Recorrentes/4. Truncated Backpropagation Through Time (TBTT)/1. RNN4.mp4 606.0 MB

[磁力链接] 添加时间:2023-12-18 大小:66.1 GB 最近下载:2025-05-01 热度:213

[ FreeCourseWeb.com ] Machine Learning using Python - A Beginner's Guide (Updated).zip

[ FreeCourseWeb.com ] Machine Learning using Python - A Beginner's Guide (Updated).zip 2.0 GB

[磁力链接] 添加时间:2021-05-03 大小:2.0 GB 最近下载:2025-04-30 热度:760

[ FreeCourseWeb.com ] Udemy - Learn Machine Learning from Scratch in Python.zip

[ FreeCourseWeb.com ] Udemy - Learn Machine Learning from Scratch in Python.zip 700.0 MB

[磁力链接] 添加时间:2021-05-07 大小:700.0 MB 最近下载:2025-04-26 热度:654

Udemy - From 0 to 1 Machine Learning, NLP & Python-Cut to the Chase (2015)

10_-_Artificial_Neural_Networks/22_-_Perceptron_-_How_it_works.mp4 60.4 MB
06_-_Support_Vector_Machines/15_-_Support_Vector_Machines_Introduced.mp4 71.0 MB
04_-_Naive_Bayes_Classifier/12_-_Naive_Bayes_Classifier_-_Application_to_spam_detection.mp4 72.1 MB
08_-_Association_Detection/18_-_Association_Rules_Learning.mp4 75.4 MB
03_-_Classification_-_A_form_of_supervised_learning/07_-_Bias_Variance_Trade-off.mp4 77.4 MB
04_-_Naive_Bayes_Classifier/10_-_Naive_Bayes_Classifier.mp4 77.6 MB
12_-_Natural_Language_Processing_and_Python/27_-_Document_Distance_using_TF-IDF.mp4 82.9 MB
04_-_Naive_Bayes_Classifier/09_-_Bayes_Theorem.mp4 87.7 MB
05_-_K-Nearest_Neighbors/13_-_K-Nearest_Neighbors.mp4 93.0 MB
12_-_Natural_Language_Processing_and_Python/24_-_A_Serious_NLP_Application_-_Text_Auto_Summarization_using_Python.mp4 95.5 MB
04_-_Naive_Bayes_Classifier/11_-_Naive_Bayes_Classifier_-_An_example.mp4 100.6 MB
11_-_Regression_as_a_form_of_supervised_learning/23_-_Regression_Introduced_-_Linear_and_Logistic_Regression.mp4 103.8 MB
12_-_Natural_Language_Processing_and_Python/28_-_Put_it_to_work_-_News_Article_Clustering_with_K-Means_and_TF-IDF.mp4 112.4 MB
02_-_Jump_right_in_-_Machine_learning_for_Spam_detection/02_-_Machine_Learning_-_Why_should_you_jump_on_the_bandwagon.mp4 112.9 MB
05_-_K-Nearest_Neighbors/14_-_K-Nearest_Neighbors_-_A_few_wrinkles.mp4 120.3 MB
02_-_Jump_right_in_-_Machine_learning_for_Spam_detection/04_-_Spam_Detection_with_Machine_Learning_Continued.mp4 122.8 MB
07_-_Clustering_as_a_form_Unsupervised_learning/17_-_Clustering_-_Problems_and_Techniques.mp4 124.8 MB
04_-_Naive_Bayes_Classifier/08_-_Random_Variables.mp4 125.0 MB
02_-_Jump_right_in_-_Machine_learning_for_Spam_detection/05_-_Get_the_Lay_of_the_Land_-_Types_of_Machine_Learning_Problems.mp4 125.9 MB
06_-_Support_Vector_Machines/16_-_Support_Vector_Machines_-_Maximum_Margin_Hyperplane_and_Kernel_Trick.mp4 126.7 MB

[磁力链接] 添加时间:2017-05-29 大小:3.1 GB 最近下载:2025-04-22 热度:859

Lynda - Learning the Python 3 Standard Library

Lynda - Learning the Python 3 Standard Library.iso 339.9 MB
More_info.txt 658 Bytes

[磁力链接] 添加时间:2017-03-08 大小:339.9 MB 最近下载:2025-04-19 热度:368

Deep Learning Convolutional Neural Networks in Python

TutsGalaxy.com.txt 41 Bytes
Torrent_downloaded_from_Demonoid_-_www.demonoid.pw_.txt 59 Bytes
Read Me.txt 80 Bytes
Deep Learning Convolutional Neural Networks in Python.zip 943.9 MB

[磁力链接] 添加时间:2018-09-22 大小:943.9 MB 最近下载:2025-04-15 热度:96

Packt Publishing - Learning Path Expert Python Projects

Packt Publishing - Learning Path Expert Python Projects.iso 4.1 GB
More_info.txt 658 Bytes

[磁力链接] 添加时间:2017-02-10 大小:4.1 GB 最近下载:2025-04-06 热度:402

desire-course.-net-udemy-python-for-computer-vision-with-open-cv-and-deep-learning

1. Course Overview and Introduction/3.1 Computer-Vision-with-Python.zip 321.0 MB
4. Image Processing/7. Blurring and Smoothing - Part Two.mp4 247.3 MB
6. Object Detection with OpenCV and Python/9. Feature Matching - Part Two.mp4 186.0 MB
8. Deep Learning for Computer Vision/22. YOLO v3 with Python.mp4 175.0 MB
4. Image Processing/5. Image Thresholding.mp4 145.0 MB
8. Deep Learning for Computer Vision/17. Deep Learning on Custom Images - Part Two.mp4 144.4 MB
3. Image Basics with OpenCV/2. Opening Image files in a notebook.mp4 133.1 MB
6. Object Detection with OpenCV and Python/2. Template Matching.mp4 122.3 MB
6. Object Detection with OpenCV and Python/14. Face Detection with OpenCV.mp4 122.3 MB
4. Image Processing/9. Gradients.mp4 118.9 MB
8. Deep Learning for Computer Vision/11. Convolutional Neural Networks Overview - Part One.mp4 118.8 MB
7. Object Tracking/3. Optical Flow Coding with OpenCV - Part One.mp4 116.8 MB
6. Object Detection with OpenCV and Python/11. Watershed Algorithm - Part Two.mp4 114.5 MB
6. Object Detection with OpenCV and Python/12. Custom Seeds with Watershed Algorithm.mp4 109.4 MB
6. Object Detection with OpenCV and Python/8. Feature Matching - Part One.mp4 104.8 MB
5. Video Basics with Python and OpenCV/4. Drawing on Live Camera.mp4 102.8 MB
8. Deep Learning for Computer Vision/9. Keras Basics.mp4 102.5 MB
3. Image Basics with OpenCV/10. Image Basics Assessment Solutions.mp4 102.0 MB
4. Image Processing/8. Morphological Operators.mp4 101.5 MB
7. Object Tracking/6. MeanShift and CamShift Tracking with OpenCV.mp4 100.9 MB

[磁力链接] 添加时间:2023-12-30 大小:6.9 GB 最近下载:2025-03-31 热度:1078

Packt Learning Path From Python Programming to Data Science.rar

Packt Learning Path From Python Programming to Data Science.rar 4.2 GB

[磁力链接] 添加时间:2021-05-17 大小:4.2 GB 最近下载:2025-03-31 热度:126

[UdemyCourseDownloader] Deep Learning Prerequisites Logistic Regression in Python

07 Appendix/036 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 46.0 MB
udemycoursedownloader.com.url 132 Bytes
01 Start Here/001 Introduction and Outline.mp4 7.9 MB
01 Start Here/002 How to Succeed in this Course.mp4 9.2 MB
01 Start Here/003 Review of the classification problem.mp4 3.1 MB
01 Start Here/004 Introduction to the E-Commerce Course Project.mp4 15.5 MB
01 Start Here/quizzes/001 Easy first quiz.html 2.5 kB
02 Basics What is linear classification Whats the relation to neural networks/005 Linear Classification.mp4 7.9 MB
02 Basics What is linear classification Whats the relation to neural networks/006 Biological inspiration - the neuron.mp4 4.4 MB
02 Basics What is linear classification Whats the relation to neural networks/007 How do we calculate the output of a neuron logistic classifier - Theory.mp4 7.8 MB
02 Basics What is linear classification Whats the relation to neural networks/008 How do we calculate the output of a neuron logistic classifier - Code.mp4 6.1 MB
02 Basics What is linear classification Whats the relation to neural networks/009 E-Commerce Course Project Pre-Processing the Data.mp4 11.7 MB
02 Basics What is linear classification Whats the relation to neural networks/010 E-Commerce Course Project Making Predictions.mp4 6.0 MB
03 Solving for the optimal weights/011 A closed-form solution to the Bayes classifier.mp4 10.5 MB
03 Solving for the optimal weights/012 What do all these symbols mean X Y N D L J PY1X etc..mp4 6.7 MB
03 Solving for the optimal weights/013 The cross-entropy error function - Theory.mp4 4.7 MB
03 Solving for the optimal weights/014 The cross-entropy error function - Code.mp4 9.5 MB
03 Solving for the optimal weights/015 Visualizing the linear discriminant Bayes classifier Gaussian clouds.mp4 5.5 MB
03 Solving for the optimal weights/016 Maximizing the likelihood.mp4 13.3 MB
03 Solving for the optimal weights/017 Updating the weights using gradient descent - Theory.mp4 9.8 MB

[磁力链接] 添加时间:2018-11-30 大小:445.1 MB 最近下载:2025-03-26 热度:106

[Tutorialsplanet.NET] Udemy - Unsupervised Machine Learning Hidden Markov Models in Python

10. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.mp4 195.4 MB
11. 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. Hidden Markov Models for Discrete Observations/5. The Forward-Backward Algorithm (part 1).mp4 68.3 MB
4. Hidden Markov Models for Discrete Observations/12. HMM Training (part 3).mp4 63.1 MB
4. Hidden Markov Models for Discrete Observations/9. The Viterbi Algorithm (part 2).mp4 62.2 MB
4. Hidden Markov Models for Discrete Observations/13. HMM Training (part 4).mp4 58.3 MB
4. Hidden Markov Models for Discrete Observations/16. Discrete HMM in Code.mp4 49.7 MB
6. HMMs for Continuous Observations/3. Continuous-Observation HMM in Code (part 1).mp4 49.0 MB
6. HMMs for Continuous Observations/5. Continuous HMM in Theano.mp4 47.6 MB
10. Setting Up Your Environment/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
4. Hidden Markov Models for Discrete Observations/2. HMM - Basic Examples.mp4 44.4 MB
4. Hidden Markov Models for Discrete Observations/11. HMM Training (part 2).mp4 41.9 MB
12/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
13. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
12/4. What order should I take your courses in (part 2).mp4 39.5 MB
4. Hidden Markov Models for Discrete Observations/14. How to Choose the Number of Hidden States.mp4 35.5 MB
2. Markov Models/2. Markov Models.mp4 34.1 MB
4. Hidden Markov Models for Discrete Observations/3. Parameters of an HMM.mp4 32.8 MB
5. Discrete HMMs Using Deep Learning Libraries/3. Discrete HMM in Theano.mp4 32.2 MB
12/3. What order should I take your courses in (part 1).mp4 30.8 MB

[磁力链接] 添加时间:2021-03-20 大小:1.8 GB 最近下载:2025-03-18 热度:65

Udemy - Python for Data Science and Machine Learning Bootcamp

26. Neural Nets and Deep Learning/8. Tensorflow Estimators.mp4 164.3 MB
26. Neural Nets and Deep Learning/10. Deep Learning Project - Solutions.mp4 99.2 MB
26. Neural Nets and Deep Learning/7. MNIST - Part Two.mp4 98.7 MB
2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/1. TensorFlow Installation.mp4 72.6 MB
25. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
25. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB
26. Neural Nets and Deep Learning/6. MNIST - Part One.mp4 61.2 MB
25. Big Data and Spark with Python/12. RDD Transformations and Actions.mp4 58.4 MB
18. K Nearest Neighbors/4. KNN Project Solutions.mp4 55.2 MB
1. Course Introduction/3.1 Py_DS_ML_Bootcamp-master.zip.zip 55.0 MB
2. Environment Set-Up/1.1 Py-DS-ML-Bootcamp-master.zip.zip 55.0 MB
3. Jupyter Overview/2.1 Py-DS-ML-Bootcamp-master.zip.zip 55.0 MB
9. Python for Data Visualization - Seaborn/2. Distribution Plots.mp4 53.9 MB
11. Python for Data Visualization - Plotly and Cufflinks/2. Plotly and Cufflinks.mp4 53.6 MB
13. Data Capstone Project/4. 911 Calls Solutions - Part 2.mp4 52.2 MB
24. Natural Language Processing/6. NLP Project Solutions.mp4 50.4 MB
20. Support Vector Machines/2. Support Vector Machines with Python.mp4 49.8 MB
13. Data Capstone Project/7. Finance Project - Solutions Part 1.mp4 49.6 MB
21. K Means Clustering/4. K Means Project Solutions.mp4 49.4 MB

[磁力链接] 添加时间:2021-03-19 大小:4.1 GB 最近下载:2025-03-15 热度:81

Learning Python For Beginners

Learning Python For Beginners.zip 1.0 GB
Download more courses.url 123 Bytes
Downloaded from TutsGalaxy.com.txt 73 Bytes
Downloaded from Demonoid - www.dnoid.to.txt 56 Bytes
TutsGalaxy.com.txt 53 Bytes

[磁力链接] 添加时间:2021-04-19 大小:1.0 GB 最近下载:2025-03-15 热度:72