种子简介

种子名称： Building Recommender Systems with Machine Learning and AI
文件类型： 视频
文件数目： 109个文件
文件大小： 4.45 GB
收录时间： 2020-10-22 23:07
已经下载： 3次
资源热度： 197
最近下载： 2024-11-7 20:55

下载BT种子文件

下载Torrent文件(.torrent) 立即下载

磁力链接下载

magnet:?xt=urn:btih:6af7c6cce09fadc67bbcbf7a931e1db8c6142a62&dn=Building Recommender Systems with Machine Learning and AI 复制链接到迅雷、QQ旋风进行下载，或者使用百度云离线下载。

喜欢这个种子的人也喜欢

种子包含的文件

Building Recommender Systems with Machine Learning and AI.torrent

Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/4. [Activity] Playing with Tensorflow.mp4145.56MB

Building Recommender Systems with Machine Learning and AI/1. Getting Started/1. Udemy 101 Getting the Most From This Course.mp419.71MB

Building Recommender Systems with Machine Learning and AI/1. Getting Started/2. [Activity] Install Anaconda, course materials, and create movie recommendations!.mp4104.08MB

Building Recommender Systems with Machine Learning and AI/1. Getting Started/3. Course Roadmap.mp427.58MB

Building Recommender Systems with Machine Learning and AI/1. Getting Started/4. Types of Recommenders.mp426.82MB

Building Recommender Systems with Machine Learning and AI/1. Getting Started/5. Understanding You through Implicit and Explicit Ratings.mp420.72MB

Building Recommender Systems with Machine Learning and AI/1. Getting Started/6. Top-N Recommender Architecture.mp437.09MB

Building Recommender Systems with Machine Learning and AI/1. Getting Started/7. [Quiz] Review the basics of recommender systems..mp421.3MB

Building Recommender Systems with Machine Learning and AI/2. Introduction to Python [Optional]/1. [Activity] The Basics of Python.mp443.03MB

Building Recommender Systems with Machine Learning and AI/2. Introduction to Python [Optional]/2. Data Structures in Python.mp424.41MB

Building Recommender Systems with Machine Learning and AI/2. Introduction to Python [Optional]/3. Functions in Python.mp412.27MB

Building Recommender Systems with Machine Learning and AI/2. Introduction to Python [Optional]/4. [Exercise] Booleans, loops, and a hands-on challenge.mp413.86MB

Building Recommender Systems with Machine Learning and AI/3. Evaluating Recommender Systems/1. TrainTest and Cross Validation.mp429.05MB

Building Recommender Systems with Machine Learning and AI/3. Evaluating Recommender Systems/2. Accuracy Metrics (RMSE, MAE).mp440.28MB

Building Recommender Systems with Machine Learning and AI/3. Evaluating Recommender Systems/3. Top-N Hit Rate - Many Ways.mp424.53MB

Building Recommender Systems with Machine Learning and AI/3. Evaluating Recommender Systems/4. Coverage, Diversity, and Novelty.mp413.73MB

Building Recommender Systems with Machine Learning and AI/3. Evaluating Recommender Systems/5. Churn, Responsiveness, and AB Tests.mp460.94MB

Building Recommender Systems with Machine Learning and AI/3. Evaluating Recommender Systems/6. [Quiz] Review ways to measure your recommender..mp412.83MB

Building Recommender Systems with Machine Learning and AI/3. Evaluating Recommender Systems/7. [Activity] Walkthrough of RecommenderMetrics.py.mp464.3MB

Building Recommender Systems with Machine Learning and AI/3. Evaluating Recommender Systems/8. [Activity] Walkthrough of TestMetrics.py.mp454.36MB

Building Recommender Systems with Machine Learning and AI/3. Evaluating Recommender Systems/9. [Activity] Measure the Performance of SVD Recommendations.mp421.56MB

Building Recommender Systems with Machine Learning and AI/4. A Recommender Engine Framework/1. Our Recommender Engine Architecture.mp432.73MB

Building Recommender Systems with Machine Learning and AI/4. A Recommender Engine Framework/2. [Activity] Recommender Engine Walkthrough, Part 1.mp437.88MB

Building Recommender Systems with Machine Learning and AI/4. A Recommender Engine Framework/3. [Activity] Recommender Engine Walkthrough, Part 2.mp439.59MB

Building Recommender Systems with Machine Learning and AI/4. A Recommender Engine Framework/4. [Activity] Review the Results of our Algorithm Evaluation..mp434.57MB

Building Recommender Systems with Machine Learning and AI/5. Content-Based Filtering/1. Content-Based Recommendations, and the Cosine Similarity Metric.mp461.59MB

Building Recommender Systems with Machine Learning and AI/5. Content-Based Filtering/2. K-Nearest-Neighbors and Content Recs.mp419.61MB

Building Recommender Systems with Machine Learning and AI/5. Content-Based Filtering/3. [Activity] Producing and Evaluating Content-Based Movie Recommendations.mp452.36MB

Building Recommender Systems with Machine Learning and AI/5. Content-Based Filtering/4. [Activity] Bleeding Edge Alert! Mise en Scene Recommendations.mp446.52MB

Building Recommender Systems with Machine Learning and AI/5. Content-Based Filtering/5. [Exercise] Dive Deeper into Content-Based Recommendations.mp424.11MB

Building Recommender Systems with Machine Learning and AI/6. Neighborhood-Based Collaborative Filtering/1. Measuring Similarity, and Sparsity.mp459.1MB

Building Recommender Systems with Machine Learning and AI/6. Neighborhood-Based Collaborative Filtering/2. Similarity Metrics.mp430.68MB

Building Recommender Systems with Machine Learning and AI/6. Neighborhood-Based Collaborative Filtering/3. User-based Collaborative Filtering.mp434.21MB

Building Recommender Systems with Machine Learning and AI/6. Neighborhood-Based Collaborative Filtering/4. [Activity] User-based Collaborative Filtering, Hands-On.mp448.61MB

Building Recommender Systems with Machine Learning and AI/6. Neighborhood-Based Collaborative Filtering/5. Item-based Collaborative Filtering.mp452.26MB

Building Recommender Systems with Machine Learning and AI/6. Neighborhood-Based Collaborative Filtering/6. [Activity] Item-based Collaborative Filtering, Hands-On.mp426.81MB

Building Recommender Systems with Machine Learning and AI/6. Neighborhood-Based Collaborative Filtering/7. [Exercise] Tuning Collaborative Filtering Algorithms.mp419.7MB

Building Recommender Systems with Machine Learning and AI/6. Neighborhood-Based Collaborative Filtering/8. [Activity] Evaluating Collaborative Filtering Systems Offline.mp415.43MB

Building Recommender Systems with Machine Learning and AI/6. Neighborhood-Based Collaborative Filtering/9. [Exercise] Measure the Hit Rate of Item-Based Collaborative Filtering.mp49.5MB

Building Recommender Systems with Machine Learning and AI/6. Neighborhood-Based Collaborative Filtering/10. KNN Recommenders.mp424.85MB

Building Recommender Systems with Machine Learning and AI/6. Neighborhood-Based Collaborative Filtering/11. [Activity] Running User and Item-Based KNN on MovieLens.mp423.76MB

Building Recommender Systems with Machine Learning and AI/6. Neighborhood-Based Collaborative Filtering/12. [Exercise] Experiment with different KNN parameters..mp441.26MB

Building Recommender Systems with Machine Learning and AI/6. Neighborhood-Based Collaborative Filtering/13. Bleeding Edge Alert! Translation-Based Recommendations.mp421.29MB

Building Recommender Systems with Machine Learning and AI/7. Matrix Factorization Methods/1. Principal Component Analysis (PCA).mp461.2MB

Building Recommender Systems with Machine Learning and AI/7. Matrix Factorization Methods/2. Singular Value Decomposition.mp424.3MB

Building Recommender Systems with Machine Learning and AI/7. Matrix Factorization Methods/3. [Activity] Running SVD and SVD++ on MovieLens.mp437.49MB

Building Recommender Systems with Machine Learning and AI/7. Matrix Factorization Methods/4. Improving on SVD.mp423.07MB

Building Recommender Systems with Machine Learning and AI/7. Matrix Factorization Methods/5. [Exercise] Tune the hyperparameters on SVD.mp411.86MB

Building Recommender Systems with Machine Learning and AI/7. Matrix Factorization Methods/6. Bleeding Edge Alert! Sparse Linear Methods (SLIM).mp426.47MB

Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/1. Deep Learning Introduction.mp417.62MB

Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/2. Deep Learning Pre-Requisites.mp437.05MB

Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/3. History of Artificial Neural Networks.mp484.21MB

Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/5. Training Neural Networks.mp438.35MB

Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/6. Tuning Neural Networks.mp431.04MB

Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/7. Introduction to Tensorflow.mp492.48MB

Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/8. [Activity] Handwriting Recognition with Tensorflow, part 1.mp490.96MB

Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/9. [Activity] Handwriting Recognition with Tensorflow, part 2.mp490.9MB

Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/10. [Activity] Handwriting Recognition with Tensorflow, Part 3.mp450.36MB

Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/11. Introduction to Keras.mp416.45MB

Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/12. [Activity] Handwriting Recognition with Keras.mp488.49MB

Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/13. Classifier Patterns with Keras.mp424.84MB

Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/14. [Exercise] Predict Political Parties of Politicians with Keras.mp4100.21MB

Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/15. Intro to Convolutional Neural Networks (CNN's).mp478.19MB

Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/16. CNN Architectures.mp422.54MB

Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/17. [Activity] Handwriting Recognition with Convolutional Neural Networks (CNNs).mp482.28MB

Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/18. Intro to Recurrent Neural Networks (RNN's).mp449.64MB

Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/19. Training Recurrent Neural Networks.mp420.72MB

Building Recommender Systems with Machine Learning and AI/8. Introduction to Deep Learning [Optional]/20. [Activity] Sentiment Analysis of Movie Reviews using RNN's and Keras.mp4119.79MB

Building Recommender Systems with Machine Learning and AI/9. Deep Learning for Recommender Systems/1. Intro to Deep Learning for Recommenders.mp442.66MB

Building Recommender Systems with Machine Learning and AI/9. Deep Learning for Recommender Systems/2. Restricted Boltzmann Machines (RBM's).mp431.67MB

Building Recommender Systems with Machine Learning and AI/9. Deep Learning for Recommender Systems/3. [Activity] Recommendations with RBM's, part 1.mp4144.44MB

Building Recommender Systems with Machine Learning and AI/9. Deep Learning for Recommender Systems/4. [Activity] Recommendations with RBM's, part 2.mp476.73MB

Building Recommender Systems with Machine Learning and AI/9. Deep Learning for Recommender Systems/5. [Activity] Evaluating the RBM Recommender.mp437.67MB

Building Recommender Systems with Machine Learning and AI/9. Deep Learning for Recommender Systems/6. [Exercise] Tuning Restricted Boltzmann Machines.mp433.61MB

Building Recommender Systems with Machine Learning and AI/9. Deep Learning for Recommender Systems/7. Exercise Results Tuning a RBM Recommender.mp411.85MB

Building Recommender Systems with Machine Learning and AI/9. Deep Learning for Recommender Systems/8. Auto-Encoders for Recommendations Deep Learning for Recs.mp426.92MB

Building Recommender Systems with Machine Learning and AI/9. Deep Learning for Recommender Systems/9. [Activity] Recommendations with Deep Neural Networks.mp475.41MB

Building Recommender Systems with Machine Learning and AI/9. Deep Learning for Recommender Systems/10. Clickstream Recommendations with RNN's.mp448.72MB

Building Recommender Systems with Machine Learning and AI/9. Deep Learning for Recommender Systems/11. [Exercise] Get GRU4Rec Working on your Desktop.mp47.46MB

Building Recommender Systems with Machine Learning and AI/9. Deep Learning for Recommender Systems/12. Exercise Results GRU4Rec in Action.mp462.65MB

Building Recommender Systems with Machine Learning and AI/9. Deep Learning for Recommender Systems/13. Bleeding Edge Alert! Deep Factorization Machines.mp457.36MB

Building Recommender Systems with Machine Learning and AI/9. Deep Learning for Recommender Systems/14. More Emerging Tech to Watch.mp427.64MB

Building Recommender Systems with Machine Learning and AI/10. Scaling it Up/1. [Activity] Introduction and Installation of Apache Spark.mp453.3MB

Building Recommender Systems with Machine Learning and AI/10. Scaling it Up/2. Apache Spark Architecture.mp417.36MB

Building Recommender Systems with Machine Learning and AI/10. Scaling it Up/3. [Activity] Movie Recommendations with Spark, Matrix Factorization, and ALS.mp455.61MB

Building Recommender Systems with Machine Learning and AI/10. Scaling it Up/4. [Activity] Recommendations from 20 million ratings with Spark.mp450.67MB

Building Recommender Systems with Machine Learning and AI/10. Scaling it Up/5. Amazon DSSTNE.mp442.31MB

Building Recommender Systems with Machine Learning and AI/10. Scaling it Up/6. DSSTNE in Action.mp4113.66MB

Building Recommender Systems with Machine Learning and AI/10. Scaling it Up/7. Scaling Up DSSTNE.mp410.44MB

Building Recommender Systems with Machine Learning and AI/10. Scaling it Up/8. AWS SageMaker and Factorization Machines.mp415.58MB

Building Recommender Systems with Machine Learning and AI/10. Scaling it Up/9. SageMaker in Action Factorization Machines on one million ratings, in the cloud.mp468.34MB

Building Recommender Systems with Machine Learning and AI/11. Real-World Challenges of Recommender Systems/1. The Cold Start Problem (and solutions).mp427.79MB

Building Recommender Systems with Machine Learning and AI/11. Real-World Challenges of Recommender Systems/2. [Exercise] Implement Random Exploration.mp42.2MB

Building Recommender Systems with Machine Learning and AI/11. Real-World Challenges of Recommender Systems/3. Exercise Solution Random Exploration.mp424.17MB

Building Recommender Systems with Machine Learning and AI/11. Real-World Challenges of Recommender Systems/4. Stoplists.mp419.91MB

Building Recommender Systems with Machine Learning and AI/11. Real-World Challenges of Recommender Systems/5. [Exercise] Implement a Stoplist.mp41.35MB

Building Recommender Systems with Machine Learning and AI/11. Real-World Challenges of Recommender Systems/6. Exercise Solution Implement a Stoplist.mp426.71MB

Building Recommender Systems with Machine Learning and AI/11. Real-World Challenges of Recommender Systems/7. Filter Bubbles, Trust, and Outliers.mp492.41MB

Building Recommender Systems with Machine Learning and AI/11. Real-World Challenges of Recommender Systems/8. [Exercise] Identify and Eliminate Outlier Users.mp41.77MB

Building Recommender Systems with Machine Learning and AI/11. Real-World Challenges of Recommender Systems/9. Exercise Solution Outlier Removal.mp438.49MB

Building Recommender Systems with Machine Learning and AI/11. Real-World Challenges of Recommender Systems/10. Fraud, The Perils of Clickstream, and International Concerns.mp458.23MB

Building Recommender Systems with Machine Learning and AI/11. Real-World Challenges of Recommender Systems/11. Temporal Effects, and Value-Aware Recommendations.mp454.03MB

Building Recommender Systems with Machine Learning and AI/12. Case Studies/1. Case Study YouTube, Part 1.mp426.91MB

Building Recommender Systems with Machine Learning and AI/12. Case Studies/2. Case Study YouTube, Part 2.mp426.26MB

Building Recommender Systems with Machine Learning and AI/12. Case Studies/3. Case Study Netflix, Part 1.mp427.55MB

Building Recommender Systems with Machine Learning and AI/12. Case Studies/4. Case Study Netflix, Part 2.mp426.57MB

Building Recommender Systems with Machine Learning and AI/13. Hybrid Approaches/1. Hybrid Recommenders and Exercise.mp418.4MB

Building Recommender Systems with Machine Learning and AI/13. Hybrid Approaches/2. Exercise Solution Hybrid Recommenders.mp433.18MB

Building Recommender Systems with Machine Learning and AI/14. Wrapping Up/1. More to Explore.mp438.93MB