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【影视】 NLP with Python for Machine Learning Essential Training

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chapter_021.mp4 33.9 MB
chapter_001.vtt 2.2 kB
chapter_002.mp4 1.5 MB
chapter_002.vtt 2.3 kB
chapter_003.mp4 966.4 kB
chapter_003.vtt 1.4 kB
chapter_004.mp4 2.2 MB
chapter_004.vtt 2.2 kB
chapter_005.mp4 6.0 MB
chapter_005.vtt 7.6 kB
chapter_006.mp4 16.0 MB
chapter_006.vtt 12.8 kB
chapter_007.mp4 26.1 MB
chapter_007.vtt 21.1 kB
chapter_008.mp4 17.0 MB
chapter_008.vtt 12.4 kB
chapter_009.mp4 5.6 MB
chapter_009.vtt 7.6 kB
chapter_010.mp4 16.2 MB
chapter_010.vtt 16.5 kB

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【影视】 [Self-Learning] Курс по T-SQL.Уровень 3 – Эксперт (2020)

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Урок 14 – Полнотекстовый поиск/Лекция (видео).mp4 77.3 MB
Урок 18 – Транзакции/Лекция (видео).mp4 73.2 MB
Урок 20 – Работа с XML/Лекция (видео).mp4 72.9 MB
Урок 3 – Оконные функции/Лекция (видео).mp4 66.7 MB
Урок 9 – Триггеры/Лекция (видео).mp4 62.0 MB
Урок 8 – Хранимые процедуры/Лекция (видео).mp4 52.2 MB
Урок 7 – Пользовательские функции/Лекция (видео).mp4 50.7 MB
Урок 22 – Работа с Python/Лекция (видео).mp4 43.4 MB
Урок 21 – Работа с JSON/Лекция (видео).mp4 42.9 MB
Урок 1 – PIVOT и UNPIVOT/Лекция (видео) доп.mp4 38.6 MB
Урок 19 – Обращение к внешним источникам/Лекция (видео).mp4 34.4 MB
Урок 23 – In-Memory OLTP/Лекция (видео).mp4 34.0 MB
Урок 13 – Псевдоним типа данных/Лекция (видео).mp4 29.8 MB
Урок 16 – Курсоры/Лекция (видео).mp4 29.0 MB
Урок 19 – Обращение к внешним источникам/Материалы/AccessDatabaseEngine_X64.exe 28.6 MB
Урок 19 – Обращение к внешним источникам/Материалы/AccessDatabaseEngine.exe 26.6 MB
Урок 15 – Динамические инструкции/Лекция (видео).mp4 25.6 MB
Урок 17 – Обработка ошибок/Лекция (видео).mp4 25.0 MB
Урок 6 – Функция ROWCOUNT/Лекция (видео).mp4 23.6 MB
Урок 12 – Оператор APPLY/Лекция (видео).mp4 21.0 MB

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【影视】 [FreeCoursesOnline.Me] [Packt] Learning Dart - Build Your First App with Flutter - [FCO]

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3. Chapter 3 Add a Static List of Messages and Simulate Chat/2 - Improve the Layout of Chat Messages.mp4 308.9 MB
2. Chapter 2 Build Your First App/2 - Add a Basic Layout Using Layout Widgets.mp4 299.3 MB
2. Chapter 2 Build Your First App/3 - Build the Message Widgets.mp4 265.9 MB
3. Chapter 3 Add a Static List of Messages and Simulate Chat/1 - Create a JSON File for the Messages.mp4 242.6 MB
3. Chapter 3 Add a Static List of Messages and Simulate Chat/3 - Simulate Sending a Message.mp4 240.4 MB
5. Chapter 5 Connect Your App with Firestore Authentication/8 - Cleaning the Codes.mp4 226.9 MB
5. Chapter 5 Connect Your App with Firestore Authentication/4 - Listing and Adding Messages.mp4 198.0 MB
5. Chapter 5 Connect Your App with Firestore Authentication/6 - Adding a Friend.mp4 168.0 MB
2. Chapter 2 Build Your First App/1 - The Boilerplate from Flutter.mp4 154.7 MB
5. Chapter 5 Connect Your App with Firestore Authentication/2 - Add Google-Sign In to the App.mp4 153.3 MB
5. Chapter 5 Connect Your App with Firestore Authentication/5 - Adding a Contacts List.mp4 105.3 MB
1. Chapter 1 Getting Started with Flutter and Dart/3 - Set Up a Repository in GitLab.mp4 92.1 MB
1. Chapter 1 Getting Started with Flutter and Dart/4 - Initialize the Flutter App Using the Command-Line Tool.mp4 86.7 MB
5. Chapter 5 Connect Your App with Firestore Authentication/7 - Use Firestore in ChatHistory.mp4 81.0 MB
5. Chapter 5 Connect Your App with Firestore Authentication/3 - Add Firestore Connection.mp4 79.5 MB
1. Chapter 1 Getting Started with Flutter and Dart/2 - Download, Install, and Set Up the Required Softwares.mp4 79.4 MB
4. Chapter 4 Introduction to Firestore and Firebase Authentication/2 - Adding a Firebase Cloud Firestore Database.mp4 56.0 MB
5. Chapter 5 Connect Your App with Firestore Authentication/1 - Add Firebase Dependencies.mp4 49.5 MB
4. Chapter 4 Introduction to Firestore and Firebase Authentication/1 - A Short Firebase Introduction.mp4 47.5 MB
5. Chapter 5 Connect Your App with Firestore Authentication/9 - Putting the Application Together.mp4 43.2 MB

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【影视】 [GigaCourse.Com] Udemy - A deep understanding of deep learning (with Python intro)

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19 - Understand and design CNNs/005 Examine feature map activations.mp4 273.2 MB
22 - Style transfer/004 Transferring the screaming bathtub.mp4 227.4 MB
19 - Understand and design CNNs/012 The EMNIST dataset (letter recognition).mp4 211.1 MB
19 - Understand and design CNNs/002 CNN to classify MNIST digits.mp4 210.1 MB
24 - RNNs (Recurrent Neural Networks) (and GRULSTM)/005 CodeChallenge sine wave extrapolation.mp4 205.2 MB
24 - RNNs (Recurrent Neural Networks) (and GRULSTM)/009 Lorem ipsum.mp4 201.9 MB
07 - ANNs (Artificial Neural Networks)/013 Multi-output ANN (iris dataset).mp4 195.8 MB
19 - Understand and design CNNs/004 Classify Gaussian blurs.mp4 194.1 MB
09 - Regularization/004 Dropout regularization in practice.mp4 192.1 MB
16 - Autoencoders/006 Autoencoder with tied weights.mp4 186.4 MB
18 - Convolution and transformations/003 Convolution in code.mp4 181.5 MB
08 - Overfitting and cross-validation/006 Cross-validation -- DataLoader.mp4 180.7 MB
23 - Generative adversarial networks/002 Linear GAN with MNIST.mp4 178.2 MB
07 - ANNs (Artificial Neural Networks)/009 Learning rates comparison.mp4 176.8 MB
12 - More on data/003 CodeChallenge unbalanced data.mp4 174.3 MB
11 - FFNs (Feed-Forward Networks)/003 FFN to classify digits.mp4 169.7 MB
16 - Autoencoders/005 The latent code of MNIST.mp4 169.7 MB
24 - RNNs (Recurrent Neural Networks) (and GRULSTM)/004 Predicting alternating sequences.mp4 167.9 MB
07 - ANNs (Artificial Neural Networks)/018 Model depth vs. breadth.mp4 166.6 MB
12 - More on data/007 Data feature augmentation.mp4 166.0 MB

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【压缩文件】 [ DevCourseWeb.com ] Udemy - Machine Learning with Hands-On Examples.zip

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[ DevCourseWeb.com ] Udemy - Machine Learning with Hands-On Examples.zip 1.4 GB

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【压缩文件】 Liu Yuxi (Hayden) - Python Machine Learning By Example, 3rd Edition (Expert Insight) + Code - 2020

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Code/chapter2/ml-10m.zip 65.6 MB
Liu Yuxi (Hayden) - Python Machine Learning By Example, 3rd Edition (Expert Insight) - 2020.epub 12.7 MB
Liu Yuxi (Hayden) - Python Machine Learning By Example, 3rd Edition (Expert Insight) - 2020.pdf 12.1 MB
Code/chapter13/warpeace_input.txt 3.3 MB
Code/chapter3/CTG.xls 1.7 MB
Code/Software and hardware list.pdf 120.7 kB
Code/chapter4/decision_tree_implementation.py 10.3 kB
Code/chapter8/stock_prediction.py 7.9 kB
Code/chapter7/stock_prediction.py 6.8 kB
Code/chapter7/decision_tree_regression.py 6.8 kB
Code/chapter2/movie_recommendation.py 6.1 kB
Code/chapter5/logistic_regression_from_scratch.py 6.1 kB
Code/chapter5/scikit_logistic_regression.py 4.3 kB
Code/chapter7/get_dji_data.py 3.9 kB
Code/chapter12/classify_image_augmentation.py 3.9 kB
Code/chapter13/text_gen_rnn.py 3.8 kB
Code/chapter2/naive_bayes.py 3.8 kB
Code/chapter6/ctr.py 3.7 kB
Code/chapter7/linear_regression.py 3.6 kB
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【影视】 [FreeCoursesOnline.Me] [LINKEDIN LEARNING] Windows Server 2019 Essential Training - [FCO]

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01-Introduction/01.Exploring.Windows.Server.2019.mp4 6.7 MB
01-Introduction/02.What.you.should.already.know.mp4 3.1 MB
02-Getting.Started/01.When.to.upgrade.mp4 8.0 MB
02-Getting.Started/02.Installation.and.configuration.mp4 13.4 MB
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02-Getting.Started/07.Windows.Firewall.mp4 13.2 MB
03-Management.and.Administration/01.PowerShell.mp4 19.8 MB
03-Management.and.Administration/02.PowerShell.remoting.mp4 18.0 MB
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03-Management.and.Administration/05.Desktop.experience.administration.tools.mp4 10.8 MB
03-Management.and.Administration/06.RSAT.mp4 12.4 MB
04-Windows.Server.Environments/01.Upgrading.Active.Directory.mp4 17.7 MB
04-Windows.Server.Environments/02.Planning.sites.and.services.mp4 8.8 MB
04-Windows.Server.Environments/03.Encrypted.networks.mp4 6.5 MB
04-Windows.Server.Environments/04.Cluster.sets.mp4 6.6 MB
04-Windows.Server.Environments/05.Hybrid.cloud.environments.mp4 5.8 MB

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【影视】 [Tutorialsplanet.NET] Udemy - AWS Lambda and the Serverless Framework - Hands On Learning!

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12 - [Hands-on] - Real World Example Service 3 - REST API (NodeJS)/006 Update a Todo.mp4 120.8 MB
03 - AWS Lambda & the Serverless Framework - Getting Started/003 Deploying our First Function with Serverless.mp4 108.5 MB
14 - [Hands-on] - Real World Example Service 5 - Email Subscription Architecture/008 Setting up SNS and the Mailer Endpoint.mp4 86.7 MB
10 - [Hands-on] - Real World Example Service - 1 - Thumbnail Creation (Python)/002 Setup the Thumbnail Generator - Code - Part 1.mp4 85.6 MB
11 - [Hands-on] - Real World Example Service 2 - REST API (Python)/001 REST API with Python - Code Walkthrough.mp4 82.4 MB
11 - [Hands-on] - Real World Example Service 2 - REST API (Python)/002 Testing and Debugging the API.mp4 81.8 MB
08 - AWS Step Functions - An Introduction/005 Choice State - Full Example.mp4 80.9 MB
06 - AWS SAM CLI - Running AWS Lambda Function Locally/002 Creating and Running Our First AWS SAM Application.mp4 80.0 MB
10 - [Hands-on] - Real World Example Service - 1 - Thumbnail Creation (Python)/005 Setting up DynamoDB for Saving Thumbnail Metadata.mp4 79.2 MB
04 - AWS Lambda & Serverless - Deep Dive/001 Create AWS Lambda Function Using any Runtime.mp4 73.0 MB
03 - AWS Lambda & the Serverless Framework - Getting Started/002 Installing Serverless Framework & Setting up an AWS Profile.mp4 73.0 MB
12 - [Hands-on] - Real World Example Service 3 - REST API (NodeJS)/001 Getting Started with Todo REST API - NodeJS.mp4 70.5 MB
24 - Course Content from AWS Certified Developer Course/033 Lambda External Dependencies - Hands On.mp4 69.0 MB
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14 - [Hands-on] - Real World Example Service 5 - Email Subscription Architecture/013 Set up SendEmail and getSubscriber Endpoints.mp4 66.5 MB
04 - AWS Lambda & Serverless - Deep Dive/004 Functions Timeout and Memory.mp4 65.7 MB
24 - Course Content from AWS Certified Developer Course/008 Lambda & Application Load Balancer Hands On.mp4 64.1 MB
14 - [Hands-on] - Real World Example Service 5 - Email Subscription Architecture/011 Setting up SendGrid Email API.mp4 61.6 MB
01 - Course Introduction/004 AWS Lambda Overview and Scenario.mp4 61.5 MB
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【影视】 [ DevCourseWeb.com ] Udemy - Complete Machine Learning and Data Science with Python A-Z

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~Get Your Files Here !/2. Installations for Python/1. Installing Anaconda Distribution for Windows.mp4 128.6 MB
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~Get Your Files Here !/5. Linear Regression Algorithm in Machine Learning A-Z/3. Linear Regression Algorithm With Python Part 2.mp4 112.1 MB
~Get Your Files Here !/3. Evaluation Metrics in Machine Learning/2. Machine Learning Model Performance Evaluation Classification Error Metrics.mp4 105.1 MB
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~Get Your Files Here !/5. Linear Regression Algorithm in Machine Learning A-Z/5. Linear Regression Algorithm with Python Part 4.mp4 94.4 MB
~Get Your Files Here !/7. Logistic Regression Algorithm in Machine Learning A-Z/3. Logistic Regression Algorithm with Python Part 2.mp4 85.4 MB
~Get Your Files Here !/5. Linear Regression Algorithm in Machine Learning A-Z/2. Linear Regression Algorithm With Python Part 1.mp4 79.9 MB
~Get Your Files Here !/7. Logistic Regression Algorithm in Machine Learning A-Z/2. Logistic Regression Algorithm with Python Part 1.mp4 75.7 MB
~Get Your Files Here !/5. Linear Regression Algorithm in Machine Learning A-Z/4. Linear Regression Algorithm with Python Part 3.mp4 73.7 MB
~Get Your Files Here !/9. K Nearest Neighbors Algorithm in Machine Learning A-Z/3. K Nearest Neighbors Algorithm with Python Part 2.mp4 62.3 MB
~Get Your Files Here !/2. Installations for Python/2. Installing Anaconda Distribution for MacOs.mp4 60.7 MB
~Get Your Files Here !/6. Bias Variance Trade-Off in Machine Learning/1. What is Bias Variance Trade-Off.mp4 57.7 MB
~Get Your Files Here !/11. Decision Tree Algorithm in Machine Learning A-Z/3. Decision Tree Algorithm with Python Part 2.mp4 51.3 MB
~Get Your Files Here !/10. Hyperparameter Optimization/2. Hyperparameter Optimization with Python.mp4 49.8 MB
~Get Your Files Here !/13. Support Vector Machine Algorithm in Machine Learning A-Z/4. Support Vector Machine Algorithm with Python Part 3.mp4 49.7 MB
~Get Your Files Here !/7. Logistic Regression Algorithm in Machine Learning A-Z/5. Logistic Regression Algorithm with Python Part 4.mp4 49.5 MB
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【文档书籍】 Introduction to Deep Learning and Neural Networks with Python - A Practical Guide

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【影视】 [GigaCourse.Com] Udemy - Beginner Machine Learning in Python + ChatGPT Bonus [2023]

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02 - Regression/008 Linear Regression Hands-On - Step 3.mp4 48.4 MB
02 - Regression/010 Linear Regression Hands-On - Step 4.mp4 36.4 MB
02 - Regression/007 Linear Regression Hands-On - Step 2.mp4 36.4 MB
03 - Classification/009 Logistic Regression Hands-On - Step 5.mp4 31.3 MB
04 - Clustering/011 K-Means Clustering - Step 5b.mp4 29.0 MB
03 - Classification/002 Logistic Regression.mp4 25.9 MB
02 - Regression/005 Assumptions of Linear Regression.mp4 25.8 MB
02 - Regression/006 Linear Regression Hands-On - Step 1.mp4 25.6 MB
03 - Classification/006 Logistic Regression Hands-On - Step 3.mp4 21.5 MB
03 - Classification/004 Logistic Regression Hands-On - Step 1.mp4 21.4 MB
01 - Introduction/005 A walk-through the course materials and Google Colab.mp4 20.9 MB
04 - Clustering/007 K-Means Clustering - Step 3b.mp4 20.8 MB
04 - Clustering/006 K-Means Clustering - Step 3a.mp4 19.4 MB
03 - Classification/012 Logistic Regression Hands-On - Step 8a.mp4 19.3 MB
04 - Clustering/010 K-Means Clustering - Step 5a.mp4 17.4 MB
04 - Clustering/004 K-Means Clustering - Step 1.mp4 17.1 MB
03 - Classification/014 Confusion Matrix and Accuracy.mp4 16.3 MB
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【影视】 O'Reilly - Learning ZURB Foundation

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05. Navigation/0504 Top Bar Menu.mp4 40.4 MB
01. Setting Up Foundation/0102 About The Author.mp4 1.7 MB
01. Setting Up Foundation/0103 Downloading Foundation.mp4 9.5 MB
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02. Grids/0203 Using The Foundation Grid.mp4 38.3 MB
02. Grids/0204 Inheritance.mp4 23.1 MB
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03. Formatting Content/0302 Pricing Table Style.mp4 12.4 MB
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【文档书籍】 [ WebToolTip.com ] A First Course in Statistical Learning - With Data Examples and Python Code

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【影视】 Machine Learning Fundamentals A Python-Based Course

收录时间:2024-10-30 文档个数:70 文档大小:4.5 GB 最近下载:2025-05-16 人气:4093 磁力链接

Module 4 Supervised Learning Fundamentals/013. Lesson 4.13 Supervised Learning in Python.mp4 203.5 MB
Module 2 Mathematical Concepts of Machine Learning/003. Lesson 2.3 Matrices Basics.mp4 178.5 MB
Module 4 Supervised Learning Fundamentals/001. Lesson 4.1 Supervision in Machine Learning.mp4 173.8 MB
Module 4 Supervised Learning Fundamentals/014. Lesson 4.14 Introduction to Hyperparameter Optimization.mp4 171.6 MB
Module 5 Unsupervised Learning Fundamentals/005. Lesson 5.5 Unsupervised Learning in Python.mp4 171.2 MB
Module 4 Supervised Learning Fundamentals/002. Lesson 4.2 Introduction to Feature Engineering.mp4 169.6 MB
Module 4 Supervised Learning Fundamentals/012. Lesson 4.12 Decision Trees Basics.mp4 164.3 MB
Module 2 Mathematical Concepts of Machine Learning/001. Lesson 2.1 Introduction to the Mathematical Principles of Machine Learning.mp4 161.6 MB
Module 4 Supervised Learning Fundamentals/010. Lesson 4.10 Class Imbalance Problems.mp4 161.2 MB
Module 4 Supervised Learning Fundamentals/009. Lesson 4.9 Classification Metrics.mp4 153.7 MB
Module 4 Supervised Learning Fundamentals/007. Lesson 4.7 Linear Regression in Python - Testing the Assumptions.mp4 148.6 MB
Module 5 Unsupervised Learning Fundamentals/003. Lesson 5.3 k-Means Clustering.mp4 148.3 MB
Module 6 Machine Learning Applications/001. Lesson 6.1 Introduction to Natural Language Processing (NLP).mp4 140.0 MB
Module 4 Supervised Learning Fundamentals/004. Lesson 4.4 Linear Regression Basics - Closed-form solution.mp4 136.0 MB
Module 3 Statistical Concepts of Machine Learning/005. Lesson 3.5 Statistical Inference and Modeling Basics.mp4 135.6 MB
Module 3 Statistical Concepts of Machine Learning/001. Lesson 3.1 Introduction to the Statistical Principles of Machine Learning.mp4 133.7 MB
Module 2 Mathematical Concepts of Machine Learning/002. Lesson 2.2 Vectors.mp4 132.6 MB
Module 4 Supervised Learning Fundamentals/006. Lesson 4.6 Linear Regression in Python - Simple and Multivariate Regression.mp4 131.5 MB
Module 6 Machine Learning Applications/003. Lesson 6.3 Text Representation Methods - Part 2 TF-IDF Method.mp4 129.6 MB
Module 5 Unsupervised Learning Fundamentals/004. Lesson 5.4 Principal Component Analysis (PCA) Basics.mp4 125.7 MB

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【影视】 [DesireCourse.Com] Udemy - Recommender Systems and Deep Learning in Python

收录时间:2021-03-13 文档个数:166 文档大小:4.3 GB 最近下载:2025-05-16 人气:1953 磁力链接

8. Appendix/2. Windows-Focused Environment Setup 2018.mp4 203.7 MB
8. Appendix/3. How to How to install Numpy, Theano, Tensorflow, etc....mp4 175.1 MB
3. Collaborative Filtering/5. User-User Collaborative Filtering in Code.mp4 161.0 MB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/12. RBM Code pt 3.mp4 134.8 MB
8. Appendix/9. What order should I take your courses in (part 2).mp4 129.0 MB
8. Appendix/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 123.0 MB
3. Collaborative Filtering/4. Data Preprocessing.mp4 121.5 MB
6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/3. Matrix Factorization in Spark.mp4 115.4 MB
2. Simple Recommendation Systems/12. Bayesian Approach part 4 (Code).mp4 111.7 MB
4. Matrix Factorization and Deep Learning/19. Autoencoders (AutoRec) Code.mp4 107.3 MB
4. Matrix Factorization and Deep Learning/8. Matrix Factorization in Code - Vectorized.mp4 102.1 MB
8. Appendix/8. What order should I take your courses in (part 1).mp4 92.7 MB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/13. Speeding up the RBM Code.mp4 87.0 MB
8. Appendix/6. How to Code by Yourself (part 1).mp4 86.5 MB
6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/5. Setting up a Spark Cluster on AWS EC2.mp4 76.8 MB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/10. RBM Code pt 1.mp4 73.8 MB
3. Collaborative Filtering/7. Item-Item Collaborative Filtering in Code.mp4 72.8 MB
4. Matrix Factorization and Deep Learning/2. Matrix Factorization - First Steps.mp4 72.0 MB
7. Basics Review/2. Keras Neural Network in Code.mp4 69.4 MB
4. Matrix Factorization and Deep Learning/13. Matrix Factorization in Keras (Code).mp4 67.0 MB

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