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【压缩文件】 [FreeCourseLab.com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

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1. Welcome to the course!/5.1 Machine_Learning_A-Z_New.zip.zip 239.5 MB
36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
1. Welcome to the course!/6. Updates on Udemy Reviews.mp4 55.5 MB
39. XGBoost/5. THANK YOU bonus video.mp4 54.8 MB
12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4 54.2 MB
35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 53.8 MB
17. Decision Tree Classification/4. Decision Tree Classification in R.mp4 53.7 MB
18. Random Forest Classification/4. Random Forest Classification in R.mp4 51.8 MB
31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 50.4 MB
39. XGBoost/4. XGBoost in R.mp4 49.6 MB
27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 49.5 MB
18. Random Forest Classification/3. Random Forest Classification in Python.mp4 49.4 MB
32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 49.1 MB
7. Support Vector Regression (SVR)/2. SVR Intuition.mp4 48.9 MB
7. Support Vector Regression (SVR)/3. SVR in Python.mp4 48.4 MB
35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 47.6 MB
8. Decision Tree Regression/4. Decision Tree Regression in R.mp4 46.5 MB
16. Naive Bayes/1. Bayes Theorem.mp4 46.0 MB
24. Apriori/5. Apriori in R - Step 3.mp4 46.0 MB
38. Model Selection/3. k-Fold Cross Validation in R.mp4 45.8 MB

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【影视】 MonstersofCock - Bridgette B - Learning To Fuck in Spanish

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MonstersofCock - Bridgette B - Learning To Fuck in Spanish.mp4 433.0 MB
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【影视】 [DesireCourse.Net] Udemy - JSON - Beginners Guide to learning JSON with JavaScript

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01 Introduction to learning JSON/008 JavaScript how to Store to Local Storage.mp4 112.9 MB
01 Introduction to learning JSON/027 Source Code JSON overview.mp4 98.8 MB
01 Introduction to learning JSON/021 Get more data from JSON.mp4 95.4 MB
01 Introduction to learning JSON/012 Output JSON data API.mp4 85.6 MB
01 Introduction to learning JSON/017 API handle Multiple results.mp4 78.4 MB
01 Introduction to learning JSON/025 Google Spreadsheet Data as JSON practice JSON and JavaScript.mp4 70.1 MB
01 Introduction to learning JSON/003 Explore JavaScript Objects.mp4 67.3 MB
01 Introduction to learning JSON/010 Parse and Stringify in action Storage Exercise.mp4 64.8 MB
01 Introduction to learning JSON/006 JSON stringify and Parse.mp4 64.1 MB
01 Introduction to learning JSON/023 Google Spreadsheet Practice Exercise.mp4 62.0 MB
01 Introduction to learning JSON/015 JSON AJAX API content to HTML.mp4 57.9 MB
01 Introduction to learning JSON/002 Introduction to JSON.mp4 57.1 MB
01 Introduction to learning JSON/005 How to use JSON Objects.mp4 54.8 MB
01 Introduction to learning JSON/001 Introduction to Course JSON.mp4 50.9 MB
01 Introduction to learning JSON/018 Using JavaScript Map to output values.mp4 47.4 MB
01 Introduction to learning JSON/019 Value to Uppercase.mp4 41.6 MB
01 Introduction to learning JSON/014 JavaScript Fetch JSON.mp4 39.7 MB
02 Bonus Section/029 JavaScript-Guide-2020.pdf 8.1 MB
02 Bonus Section/029 Web-Hosting.pdf 1.8 MB
02 Bonus Section/029 Brackets-Code-Editor-Guide.pdf 871.8 kB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Learning Terraform on Microsoft Azure.zip

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[ FreeCourseWeb.com ] Udemy - Learning Terraform on Microsoft Azure.zip 3.1 GB

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【影视】 LinkedIn Learning - CSS Essential Training

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75- Project - Media queries and responsive layout.mp4 57.2 MB
11- CSS specifications and the W3C.mp4 36.6 MB
34- Typography for the web.mp4 26.0 MB
24- Project - Styling links.mp4 24.0 MB
62- Project - Grid columns and Firefox Grid Inspector.mp4 23.9 MB
07- Project overview and setup.mp4 22.4 MB
48- Project - Float and box model fix.mp4 20.2 MB
01- Styling documents consistently.mp4 20.1 MB
68- Introduction to responsive design.mp4 19.9 MB
33- Project - Margin and padding.mp4 19.5 MB
65- Project - Updates with combinators.mp4 19.4 MB
71- Project - Flexible background image.mp4 19.1 MB
22- Project - Adding colors.mp4 18.9 MB
49- Position.mp4 18.8 MB
32- Project - Adding content wrappers.mp4 18.7 MB
51- Introduction to Grid and Flexbox.mp4 16.4 MB
04- HTML and CSS.mp4 14.5 MB
57- Project - Flexbox alignment.mp4 14.0 MB
70- Flexible background images.mp4 14.0 MB
67- Project - Advanced selectors.mp4 14.0 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - { C Language } Deep Learning From Ground Up.zip

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[ FreeCourseWeb.com ] Udemy - { C Language } Deep Learning From Ground Up.zip 4.5 GB

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【压缩文件】 [ FreeCourseWeb.com ] Linuxacademy - AWS Certified Machine Learning - Specialty 2020.zip

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[ FreeCourseWeb.com ] Linuxacademy - AWS Certified Machine Learning - Specialty 2020.zip 2.9 GB

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【压缩文件】 Deploy Machine Learning & NLP Models with Dockers (DevOps).rar

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Deploy Machine Learning & NLP Models with Dockers (DevOps).rar 2.3 GB

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【影视】 [FreeCourseSite.com] Udemy - Autonomous Cars Deep Learning and Computer Vision in Python

收录时间:2021-03-24 文档个数:188 文档大小:7.9 GB 最近下载:2025-05-15 人气:982 磁力链接

9. Artificial Neural Networks/10. Example 1 - Build Multi-layer perceptron for binary classification.mp4 402.9 MB
8. Machine Learning Part 2/6. [Activity] Detecting Cars Using SVM - Part #2.mp4 214.0 MB
11. Deep Learning and Tensorflow Part 2/8. [Activity] Build a CNN to Classify Traffic Siigns - part 2.mp4 183.8 MB
6. Computer Vision Basics Part 3/11. Histogram of Oriented Gradients (HOG).mp4 177.7 MB
4. Computer Vision Basics Part 1/9. [Activity] Convert RGB to HSV color spaces and mergesplit channels.mp4 175.0 MB
9. Artificial Neural Networks/4. ANN Training and dataset split.mp4 158.6 MB
11. Deep Learning and Tensorflow Part 2/7. [Activity] Build a CNN to Classify Traffic Signs.mp4 157.9 MB
3. Python Crash Course [Optional]/7. Introduction to Seaborn.mp4 153.8 MB
2. Introduction to Self-Driving Cars/1. A Brief History of Autonomous Vehicles.mp4 153.0 MB
5. Computer Vision Basics Part 2/9. Hough transform theory.mp4 148.4 MB
4. Computer Vision Basics Part 1/2. Humans vs. Computers Vision system.mp4 141.9 MB
10. Deep Learning and Tensorflow Part 1/3. [Activity] Building a Logistic Classifier with Deep Learning and Keras.mp4 141.1 MB
9. Artificial Neural Networks/1. Introduction What are Artificial Neural Networks and how do they learn.mp4 134.0 MB
8. Machine Learning Part 2/5. Project Solution Detecting Cars Using SVM - Part #1.mp4 125.5 MB
9. Artificial Neural Networks/2. Single Neuron Perceptron Model.mp4 125.5 MB
4. Computer Vision Basics Part 1/1. What is computer vision and why is it important.mp4 124.5 MB
5. Computer Vision Basics Part 2/11. Project Solution Hough transform to detect lane lines in an image.mp4 122.7 MB
8. Machine Learning Part 2/7. [Activity] Project Solution Detecting Cars Using SVM - Part #3.mp4 122.5 MB
4. Computer Vision Basics Part 1/8. Color Spaces.mp4 119.2 MB
9. Artificial Neural Networks/6. Code to build a perceptron for binary classification.mp4 117.0 MB

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【影视】 [DesireCourse.Net] Udemy - Advanced AI Deep Reinforcement Learning in Python

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6. Deep Q-Learning/7. Deep Q-Learning in Tensorflow for Breakout.mp4 246.0 MB
6. Deep Q-Learning/8. Deep Q-Learning in Theano for Breakout.mp4 245.0 MB
9. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 195.2 MB
7. A3C/5. A3C - Code pt 4.mp4 193.3 MB
8. Theano and Tensorflow Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4 102.0 MB
8. Theano and Tensorflow Basics Review/1. (Review) Theano Basics.mp4 97.9 MB
8. Theano and Tensorflow Basics Review/2. (Review) Theano Neural Network in Code.mp4 91.2 MB
7. A3C/4. A3C - Code pt 3.mp4 88.6 MB
8. Theano and Tensorflow Basics Review/3. (Review) Tensorflow Basics.mp4 85.4 MB
9. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.0 MB
7. A3C/1. A3C - Theory and Outline.mp4 75.2 MB
7. A3C/3. A3C - Code pt 2.mp4 60.4 MB
7. A3C/2. A3C - Code pt 1 (Warmup).mp4 52.5 MB
9. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
9. Appendix FAQ/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
9. Appendix FAQ/13. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
9. Appendix FAQ/12. What order should I take your courses in (part 2).mp4 39.4 MB
9. Appendix FAQ/11. What order should I take your courses in (part 1).mp4 30.7 MB
6. Deep Q-Learning/6. Pseudocode and Replay Memory.mp4 29.2 MB
9. Appendix FAQ/4. How to Code by Yourself (part 1).mp4 25.7 MB

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【压缩文件】 [ FreeCourseWeb.com ] Lynda - Learning Combine with Swift.zip

收录时间:2021-03-24 文档个数:1 文档大小:301.6 MB 最近下载:2025-02-25 人气:932 磁力链接

[ FreeCourseWeb.com ] Lynda - Learning Combine with Swift.zip 301.6 MB

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【影视】 [CourseClub.NET] Coursera - Applied Machine Learning in Python

收录时间:2021-03-24 文档个数:73 文档大小:923.9 MB 最近下载:2025-05-15 人气:2401 磁力链接

003.Module 3 Evaluation/019. Model Evaluation & Selection.mp4 48.3 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/002. Key Concepts in Machine Learning.mp4 46.7 MB
004.Module 4 Supervised Machine Learning - Part 2/029. Neural Networks.mp4 43.5 MB
002.Module 2 Supervised Machine Learning/012. Linear Regression Ridge, Lasso, and Polynomial Regression.mp4 41.9 MB
002.Module 2 Supervised Machine Learning/016. Kernelized Support Vector Machines.mp4 41.0 MB
002.Module 2 Supervised Machine Learning/007. Introduction to Supervised Machine Learning.mp4 39.7 MB
002.Module 2 Supervised Machine Learning/018. Decision Trees.mp4 39.7 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/006. K-Nearest Neighbors Classification.mp4 38.0 MB
003.Module 3 Evaluation/025. Model Selection Optimizing Classifiers for Different Evaluation Metrics.mp4 36.2 MB
004.Module 4 Supervised Machine Learning - Part 2/031. Data Leakage.mp4 34.5 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/005. Examining the Data.mp4 33.8 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/004. An Example Machine Learning Problem.mp4 33.3 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/001. Introduction.mp4 32.6 MB
002.Module 2 Supervised Machine Learning/011. Linear Regression Least-Squares.mp4 31.5 MB
005.Optional Unsupervised Machine Learning/034. Clustering.mp4 28.5 MB
004.Module 4 Supervised Machine Learning - Part 2/027. Random Forests.mp4 27.7 MB
002.Module 2 Supervised Machine Learning/014. Linear Classifiers Support Vector Machines.mp4 23.8 MB
002.Module 2 Supervised Machine Learning/010. K-Nearest Neighbors Classification and Regression.mp4 23.6 MB
004.Module 4 Supervised Machine Learning - Part 2/026. Naive Bayes Classifiers.mp4 22.4 MB
003.Module 3 Evaluation/020. Confusion Matrices & Basic Evaluation Metrics.mp4 21.8 MB

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【压缩文件】 [FreeCourseSite.com] Udemy - Master Computer Vision™ OpenCV3 in Python & Machine Learning

收录时间:2021-03-24 文档个数:135 文档大小:1.1 GB 最近下载:2025-05-15 人气:948 磁力链接

1. Course Introduction and Setup/7.1 MasteringComputerVision_V1.03.zip.zip 133.7 MB
8. Machine Learning in Computer Vision/2. Mini Project 9 - Handwritten Digit Classification.mp4 63.5 MB
5. Object Detection - Use Computer VIsion To Detect Objects In An Image/6. Mini Project 5 - Object Detection - Detect A Specific Object Using Your Webcam.mp4 45.5 MB
8. Machine Learning in Computer Vision/3. Mini Project # 10 - Facial Recognition - Make Your Computer Recognize You.mp4 33.5 MB
2. Basics of Computer Vision and OpenCV/6. Understanding Color Spaces - The Many Ways Color Images Are Stored Digitally.mp4 32.1 MB
7. Augmented Reality - Facial Landmark Identification (Filters, Swaps & Analysis)/4. Mini Project 8 - Yawn Detector and Counter.mp4 31.4 MB
4. Image Segmentation - Extract Areas Specific Areas Of An Image Automatically/2. Sorting Contours - Sort Those Shapes By Size.mp4 31.2 MB
9. Motion Analysis and Object Tracking/2. Background Subtraction and Foreground Subtraction.mp4 31.0 MB
7. Augmented Reality - Facial Landmark Identification (Filters, Swaps & Analysis)/2. Merging Faces (Face Swaps) - Combine Two Faces For Fun & Sometimes Scary Results.mp4 30.1 MB
7. Augmented Reality - Facial Landmark Identification (Filters, Swaps & Analysis)/1. Face Analysis and Filtering - Identify Face Outline, Lips, Eyes Even Eyebrows.mp4 29.7 MB
5. Object Detection - Use Computer VIsion To Detect Objects In An Image/5. SIFT, SURF, FAST, BRIEF & ORB - Learn The Different Ways To Get Image Features.mp4 26.7 MB
6. Face, People and Car Detection/2. Face and Eye Detection - Detect Human Faces and Eyes In Any Image.mp4 26.2 MB
1. Course Introduction and Setup/4. Installation of OpenCV & Python (Windows).mp4 25.1 MB
2. Basics of Computer Vision and OpenCV/4. Getting Started with OpenCV - A Brief OpenCV Intro.mp4 24.8 MB
4. Image Segmentation - Extract Areas Specific Areas Of An Image Automatically/1. Segmentation and Contours - Extract Defined Shapes In Your Image.mp4 23.5 MB
5. Object Detection - Use Computer VIsion To Detect Objects In An Image/7. Histogram of Oriented Gradients - Another Novel Way Of Representing Images.mp4 20.9 MB
9. Motion Analysis and Object Tracking/5. Optical Flow - Track Moving Objects In Videos.mp4 20.8 MB
9. Motion Analysis and Object Tracking/1. Filtering by Color.mp4 19.6 MB
4. Image Segmentation - Extract Areas Specific Areas Of An Image Automatically/6. Line Detection - Detect Straight Lines E.g. The Lines On A Sudoku Game.mp4 18.5 MB
3. Image Manipulations - The Many Ways You Can Change Images/11. Thresholding (Binarization) - Making Certain Images Areas Black or White.mp4 18.5 MB

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【其他】 [OTUS] Machine learning (2020)

收录时间:2021-03-24 文档个数:124 文档大小:7.3 GB 最近下载:2025-05-16 人气:11181 磁力链接

19. Анализ текстовых данных. Часть 2/reduced_comments_vk.csv 489.0 MB
08. Практическое занятие по темам, изученным в первом модуле/08.mp4 327.0 MB
25. Алгоритмы на графах/25.mp4 311.1 MB
28. Работа с Big Data. Часть 2/28.mp4 294.9 MB
27. Работа с Big Data. Часть 1/vw_tutorial.zip 259.7 MB
27. Работа с Big Data. Часть 1/27.mp4 255.7 MB
31. Бонус поиск Data Science работы/31.mp4 243.5 MB
05. Задача регрессии. Линейная регрессия/05.mp4 237.9 MB
16. Поиск аномалий в данных/16.mp4 235.3 MB
10. Деревья решений/10.mp4 234.7 MB
23. Анализ временных рядов. Часть 1/23.mp4 233.3 MB
15. Методы уменьшения размерности/15.mp4 231.5 MB
06. Логистическая регрессия/06.mp4 230.8 MB
17. Сбор данных/17.mp4 229.5 MB
26. АБ тестирование/26.mp4 214.5 MB
19. Анализ текстовых данных. Часть 2/19.mp4 208.1 MB
04. Задача классификации. Метод ближайших соседей (kNN)/04.mp4 200.0 MB
20. Анализ текстовых данных. Часть 3. Практическое занятие/20.mp4 197.6 MB
07. Feature engineering and advanced preprocessing/07.mp4 194.5 MB
02. Базовые инструменты анализа данных в Python/02.mp4 191.0 MB

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【压缩文件】 [GigaCourse.com] Udemy - Deep Learning and Computer Vision A-Z™ OpenCV, SSD & GANs

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6. Module 2 - Object Detection with SSD/11.1 Training_SSD.zip.zip 2.9 GB
7. Homework Challenge - Detect Epic Horses galloping in Monument Valley/3.1 Homework.zip.zip 127.2 MB
7. Homework Challenge - Detect Epic Horses galloping in Monument Valley/2. Homework Challenge - Solution (Video).mp4 65.1 MB
9. Module 3 - Image Creation with GANs/15. THANK YOU bonus video.mp4 54.9 MB
4. Homework Challenge - Build a Happiness Detector/2. Homework Challenge - Solution (Video).mp4 52.2 MB
6. Module 2 - Object Detection with SSD/10. Object Detection - Step 10.mp4 51.6 MB
6. Module 2 - Object Detection with SSD/9. Object Detection - Step 9.mp4 48.8 MB
9. Module 3 - Image Creation with GANs/9. GANs - Step 9.mp4 46.9 MB
2. Module 1 - Face Detection Intuition/2. Updates on Udemy Reviews.mp4 45.8 MB
11. Annex 2 Convolutional Neural Networks/7. Step 4 - Full Connection.mp4 44.8 MB
11. Annex 2 Convolutional Neural Networks/5. Step 2 - Pooling.mp4 42.2 MB
9. Module 3 - Image Creation with GANs/5. GANs - Step 5.mp4 41.3 MB
9. Module 3 - Image Creation with GANs/2. GANs - Step 2.mp4 41.1 MB
9. Module 3 - Image Creation with GANs/12. GANs - Step 12.mp4 39.4 MB
6. Module 2 - Object Detection with SSD/1. Object Detection - Step 1.mp4 37.7 MB
3. Module 1 - Face Detection with OpenCV/2. Installations Instructions (once and for all!).mp4 36.1 MB
6. Module 2 - Object Detection with SSD/6. Object Detection - Step 6.mp4 35.8 MB
11. Annex 2 Convolutional Neural Networks/9. Softmax & Cross-Entropy.mp4 34.8 MB
9. Module 3 - Image Creation with GANs/1. GANs - Step 1.mp4 32.9 MB
10. Annex 1 Artificial Neural Networks/1. What is Deep Learning.mp4 32.8 MB

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【压缩文件】 The Ultimate Guide To Memory And Learning Skills

收录时间:2021-03-24 文档个数:4 文档大小:671.7 MB 最近下载:2024-09-14 人气:78 磁力链接

The Ultimate Guide To Memory And Learning Skills.zip 671.7 MB
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【压缩文件】 Lynda - Learning Excel (Office 365) - Oct 2018.rar

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Lynda - Learning Excel (Office 365) - Oct 2018.rar 158.0 MB

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【压缩文件】 Introduction to PyTorch and Machine Learning

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Introduction to PyTorch and Machine Learning.zip 982.1 MB
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【影视】 TeensLikeItBig.20.03.19.Alina.Belle.Learning.To.Ride..480p.MP4-XXX

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【影视】 [Tutorialsplanet.NET] Udemy - Artificial Intelligence Reinforcement Learning in Python

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10. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.mp4 195.4 MB
4. Markov Decision Proccesses/11. Bellman Examples.mp4 91.4 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
2. Return of the Multi-Armed Bandit/16. Bayesian Bandits Thompson Sampling Theory (pt 2).mp4 78.1 MB
5. Dynamic Programming/4. Iterative Policy Evaluation in Code.mp4 71.8 MB
9. Stock Trading Project with Reinforcement Learning/6. Code pt 2.mp4 68.5 MB
1. Welcome/5. Warmup.mp4 65.7 MB
4. Markov Decision Proccesses/5. Markov Decision Processes (MDPs).mp4 64.7 MB
5. Dynamic Programming/9. Policy Iteration in Code.mp4 59.1 MB
4. Markov Decision Proccesses/12. Optimal Policy and Optimal Value Function (pt 1).mp4 58.8 MB
2. Return of the Multi-Armed Bandit/15. Bayesian Bandits Thompson Sampling Theory (pt 1).mp4 58.6 MB
2. Return of the Multi-Armed Bandit/12. UCB1 Theory.mp4 58.2 MB
3. High Level Overview of Reinforcement Learning/1. What is Reinforcement Learning.mp4 57.3 MB
4. Markov Decision Proccesses/2. Gridworld.mp4 56.6 MB
9. Stock Trading Project with Reinforcement Learning/2. Data and Environment.mp4 54.5 MB
2. Return of the Multi-Armed Bandit/1. Section Introduction The Explore-Exploit Dilemma.mp4 54.5 MB
5. Dynamic Programming/10. Policy Iteration in Windy Gridworld.mp4 53.9 MB
2. Return of the Multi-Armed Bandit/2. Applications of the Explore-Exploit Dilemma.mp4 53.7 MB
2. Return of the Multi-Armed Bandit/24. (Optional) Alternative Bandit Designs.mp4 52.8 MB
9. Stock Trading Project with Reinforcement Learning/5. Code pt 1.mp4 52.1 MB

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