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TORRENT DETAILS
Deep Learning Recommendation Algorithms With Python
TORRENT SUMMARY
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We’ll cover tried and true recommendation algorithms based on neighborhood-based collaborative filtering, and work our way up to more modern techniques including matrix factorization and even deep learning with artificial neural networks. Along the way, you’ll learn from our extensive industry experience to understand the real-world challenges you’ll encounter when applying these algorithms at large scale and with real-world data.
You’ve seen automated recommendations everywhere – on Netflix’s home page, on YouTube, and on Amazon as these machine learning algorithms learn about your unique interests, and show the best products or content for you as an individual. These technologies have become central to the largest, most prestigious tech employers out there, and by understanding how they work, you’ll become very valuable to them.
We’ll cover tried and true recommendation algorithms based on neighborhood-based collaborative filtering, and work our way up to more modern techniques including matrix factorization and even deep learning with artificial neural networks.
Recommender systems are complex; don’t enroll in this course expecting a learn-to-code type of format. There’s no recipe to follow on how to make a recommender system; you need to understand the different algorithms and how to choose when to apply each one for a given situation. We assume you already know how to code.
However, this course is very hands-on; you’ll develop your own framework for evaluating and combining many different recommendation algorithms together, and you’ll even build your own neural networks using Tensorflow to generate recommendations from real-world movie ratings from real people.
This comprehensive course takes you all the way from the early days of collaborative filtering, to bleeding-edge applications of deep neural networks and modern machine learning techniques for recommending the best items to every individual user.
The coding exercises in this course use the Python programming language. We include an intro to Python if you’re new to it, but you’ll need some prior programming experience in order to use this course successfully. We also include a short introduction to deep learning if you are new to the field of artificial intelligence, but you’ll need to be able to understand new computer algorithms. Who this course is for:
Software developers interested in applying machine learning and deep learning to product or content recommendations Engineers working at, or interested in working at large e-commerce or web companies Computer Scientists interested in the latest recommender system theory and research
Requirements
Some experience with a programming or scripting language (preferably Python) Some computer science background, and an ability to understand new algorithms.
Last Updated 8/2022
VISITOR COMMENTS (0 )
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TutsNode.net.txt
63 B
[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/1 - 00a Introduction to Recommender Systems/2 - 02 How To Evaluate Recommender Systems.mp4
51 MB
[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/1 - 00a Introduction to Recommender Systems/5 - Source Files.html
27 B
[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/11 - 08 Data Processing Profiles and Items/50 - 01 Load Data For Machine Learning.mp4
105.9 MB
[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/11 - 08 Data Processing Profiles and Items/51 - 02 Process Data For Machine Learning.mp4
77.9 MB
[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/11 - 08 Data Processing Profiles and Items/52 - 03 Build Categories.mp4
55.8 MB
[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/11 - 08 Data Processing Profiles and Items/53 - Source Files.html
27 B
[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/11 - 08 Data Processing Profiles and Items/53 - SourceFiles.zip
890 KB
[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/12 - 09 Build Models for User Recommendations/55 - 04B What Is Regression.mp4
85.1 MB
[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/12 - 09 Build Models for User Recommendations/56 - 04C Build A Ridge Regression Model.mp4
72.6 MB
[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/12 - 09 Build Models for User Recommendations/57 - 05 Evaluate Model Error.mp4
48.9 MB
[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/12 - 09 Build Models for User Recommendations/58 - 06 Visualize Top Features Affecting Rating.mp4
58.4 MB
[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/12 - 09 Build Models for User Recommendations/59 - 07 Build A Lasso Regression Model.mp4
55.8 MB
[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/12 - 09 Build Models for User Recommendations/62 - Source Files.html
27 B
[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/13 - 10 Build a Model to Predict Ratings/63 - 01 Load Data For A Neural Network.mp4
63 MB
[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/13 - 10 Build a Model to Predict Ratings/64 - 02 Build A Singular Value Decomposition Algorithm.mp4
73 MB
[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/13 - 10 Build a Model to Predict Ratings/65 - 03 Calculate Model Error.mp4
62.5 MB
[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/13 - 10 Build a Model to Predict Ratings/66 - Source Files.html
27 B
[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/15 - 12 Build a Neural Network to Predict Ratings/70 - 04 Build A Neural Network.mp4
95.6 MB
[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/15 - 12 Build a Neural Network to Predict Ratings/71 - 05 Train The Neural Network.mp4
87.4 MB
[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/15 - 12 Build a Neural Network to Predict Ratings/72 - Source File.html
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[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/15 - 12 Build a Neural Network to Predict Ratings/72 - SourceFiles.zip
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[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/16 - 13 Data Analysis with Pandas Numpy and Scikit Learn/79 - 06 Find Rating Averages For Every Movie In The Slice.mp4
54.1 MB
[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/16 - 13 Data Analysis with Pandas Numpy and Scikit Learn/80 - 07 Build An Average Ratings Column.mp4
91.4 MB
[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/16 - 13 Data Analysis with Pandas Numpy and Scikit Learn/81 - Source Files.html
27 B
[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/2 - 00b Mammoth Interactive Courses Introduction/7 - 01 How To Learn Online Effectively.mp4
74 MB
[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/3 - 00c Introduction to Python Prerequisite/10 - 02 Type Conversion Examples.mp4
59.8 MB
[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/3 - 00c Introduction to Python Prerequisite/11 - 03 Operators.mp4
161.5 MB
[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/3 - 00c Introduction to Python Prerequisite/13 - 05 List Examples.mp4
109.7 MB
[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/3 - 00c Introduction to Python Prerequisite/14 - 06 Tuples Examples.mp4
52.4 MB
[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/3 - 00c Introduction to Python Prerequisite/15 - 07 Dictionaries Examples.mp4
87.3 MB
[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/3 - 00c Introduction to Python Prerequisite/17 - 10 If Statement Examples.mp4
118 MB
[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/3 - 00c Introduction to Python Prerequisite/18 - 11 Loops.mp4
167 MB
[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/3 - 00c Introduction to Python Prerequisite/19 - 12 Functions.mp4
86.4 MB
[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/3 - 00c Introduction to Python Prerequisite/20 - 13 Parameters And Return Values Examples.mp4
78.5 MB
[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/3 - 00c Introduction to Python Prerequisite/21 - 14 Classes And Objects.mp4
223.3 MB
[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/3 - 00c Introduction to Python Prerequisite/22 - 15 Inheritance Examples.mp4
130.6 MB
[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/3 - 00c Introduction to Python Prerequisite/23 - 16 Static Members Examples.mp4
78.6 MB
[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/3 - 00c Introduction to Python Prerequisite/25 - Source Code.html
27 B
[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/3 - 00c Introduction to Python Prerequisite/8 - 00 Intro To Course And Python.mp4
57.2 MB
[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/3 - 00c Introduction to Python Prerequisite/9 - 01 Variables.mp4
106.4 MB
[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/4 - 01 Build a Basic Movie Recommender System/26 - 01 Load Data As Pandas Dataframes.mp4
95.7 MB
[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/4 - 01 Build a Basic Movie Recommender System/27 - 02 Merge Movies And Ratings Dataframes.mp4
58.6 MB
[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/4 - 01 Build a Basic Movie Recommender System/29 - 04 Test The Recommender.mp4
49.6 MB
[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/4 - 01 Build a Basic Movie Recommender System/30 - Source Files.html
27 B
[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/6 - 03 Machine Learning Fundamentals/33 - 00B Types Of Machine Learning Models.mp4
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[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/6 - 03 Machine Learning Fundamentals/34 - 00C What Is Supervised Learning.mp4
59 MB
[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/7 - 04 Introduction to User Similarity/35 - 01 Load Data Into Dataframes.mp4
49.8 MB
[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/7 - 04 Introduction to User Similarity/36 - 02 Find A Recommendation Based On Different Movie Features.mp4
104.5 MB
[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/7 - 04 Introduction to User Similarity/38 - 04 Find Similar Users With Euclidean Distance.mp4
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[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/7 - 04 Introduction to User Similarity/39 - Source Files.html
27 B
[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/8 - 05 Recommend a Movie Based on User Similarity/43 - Source Files.html
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[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/8 - 05 Recommend a Movie Based on User Similarity/43 - SourceFiles.zip
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[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/9 - 06 Recommend a Movie with a K Nearest Neighbors Classifier/45 - 08B Recommend A Movie With A K Nearest Neighbors Classifier.mp4
70.9 MB
[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/9 - 06 Recommend a Movie with a K Nearest Neighbors Classifier/46 - 09 Create A Sample User For Testing.mp4
55.1 MB
[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/9 - 06 Recommend a Movie with a K Nearest Neighbors Classifier/48 - Source Files.html
27 B
[TutsNode.net] - Deep Learning Recommendation Algorithms with Python/9 - 06 Recommend a Movie with a K Nearest Neighbors Classifier/48 - SourceFiles.zip
