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[UdemyCourseDownloader] Building Recommender Systems with Machine Learning and AI

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Other > Training

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English

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4.48 GB

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c48a006613228737ff53c9b640b2a698a820ce24

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kirat1h

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17-11-2018 17:01

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1,042

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File	Size
01 Getting Started/001 Udemy 101 Getting the Most From This Course-en.srt	3.91 kB
01 Getting Started/001 Udemy 101 Getting the Most From This Course.mp4	19.71 MB
01 Getting Started/002 [Activity] Install Anaconda course materials and create movie recommendations-en.srt	15.24 kB
01 Getting Started/002 [Activity] Install Anaconda course materials and create movie recommendations.mp4	104.08 MB
01 Getting Started/003 Course Roadmap-en.srt	8.28 kB
01 Getting Started/003 Course Roadmap.mp4	27.58 MB
01 Getting Started/004 Types of Recommenders-en.srt	6.68 kB
01 Getting Started/004 Types of Recommenders.mp4	26.82 MB
01 Getting Started/005 Understanding You through Implicit and Explicit Ratings-en.srt	8.75 kB
01 Getting Started/005 Understanding You through Implicit and Explicit Ratings.mp4	20.72 MB
01 Getting Started/006 Top-N Recommender Architecture-en.srt	11.60 kB
01 Getting Started/006 Top-N Recommender Architecture.mp4	37.09 MB
01 Getting Started/007 [Quiz] Review the basics of recommender systems.-en.srt	8.91 kB
01 Getting Started/007 [Quiz] Review the basics of recommender systems..mp4	21.30 MB
02 Introduction to Python [Optional]/008 [Activity] The Basics of Python-en.srt	8.70 kB
02 Introduction to Python [Optional]/008 [Activity] The Basics of Python.mp4	43.03 MB
02 Introduction to Python [Optional]/009 Data Structures in Python-en.srt	9.46 kB
02 Introduction to Python [Optional]/009 Data Structures in Python.mp4	24.41 MB
02 Introduction to Python [Optional]/010 Functions in Python-en.srt	5.20 kB
02 Introduction to Python [Optional]/010 Functions in Python.mp4	12.27 MB
02 Introduction to Python [Optional]/011 [Exercise] Booleans loops and a hands-on challenge-en.srt	6.29 kB
02 Introduction to Python [Optional]/011 [Exercise] Booleans loops and a hands-on challenge.mp4	13.86 MB
03 Evaluating Recommender Systems/012 TrainTest and Cross Validation-en.srt	8.34 kB
03 Evaluating Recommender Systems/012 TrainTest and Cross Validation.mp4	29.05 MB
03 Evaluating Recommender Systems/013 Accuracy Metrics (RMSE MAE)-en.srt	8.45 kB
03 Evaluating Recommender Systems/013 Accuracy Metrics (RMSE MAE).mp4	40.28 MB
03 Evaluating Recommender Systems/014 Top-N Hit Rate - Many Ways-en.srt	9.19 kB
03 Evaluating Recommender Systems/014 Top-N Hit Rate - Many Ways.mp4	24.53 MB
03 Evaluating Recommender Systems/015 Coverage Diversity and Novelty-en.srt	10.51 kB
03 Evaluating Recommender Systems/015 Coverage Diversity and Novelty.mp4	13.73 MB
03 Evaluating Recommender Systems/016 Churn Responsiveness and AB Tests-en.srt	10.94 kB
03 Evaluating Recommender Systems/016 Churn Responsiveness and AB Tests.mp4	60.94 MB
03 Evaluating Recommender Systems/017 [Quiz] Review ways to measure your recommender.-en.srt	5.44 kB
03 Evaluating Recommender Systems/017 [Quiz] Review ways to measure your recommender..mp4	12.83 MB
03 Evaluating Recommender Systems/018 [Activity] Walkthrough of RecommenderMetrics.py-en.srt	12.80 kB
03 Evaluating Recommender Systems/018 [Activity] Walkthrough of RecommenderMetrics.py.mp4	64.30 MB
03 Evaluating Recommender Systems/019 [Activity] Walkthrough of TestMetrics.py-en.srt	10.66 kB
03 Evaluating Recommender Systems/019 [Activity] Walkthrough of TestMetrics.py.mp4	54.36 MB
03 Evaluating Recommender Systems/020 [Activity] Measure the Performance of SVD Recommendations-en.srt	5.00 kB
03 Evaluating Recommender Systems/020 [Activity] Measure the Performance of SVD Recommendations.mp4	21.56 MB
04 A Recommender Engine Framework/021 Our Recommender Engine Architecture-en.srt	14.81 kB
04 A Recommender Engine Framework/021 Our Recommender Engine Architecture.mp4	32.73 MB
04 A Recommender Engine Framework/022 [Activity] Recommender Engine Walkthrough Part 1-en.srt	7.40 kB
04 A Recommender Engine Framework/022 [Activity] Recommender Engine Walkthrough Part 1.mp4	37.88 MB
04 A Recommender Engine Framework/023 [Activity] Recommender Engine Walkthrough Part 2-en.srt	7.88 kB
04 A Recommender Engine Framework/023 [Activity] Recommender Engine Walkthrough Part 2.mp4	39.59 MB
04 A Recommender Engine Framework/024 [Activity] Review the Results of our Algorithm Evaluation.-en.srt	6.37 kB
04 A Recommender Engine Framework/024 [Activity] Review the Results of our Algorithm Evaluation..mp4	34.57 MB
05 Content-Based Filtering/025 Content-Based Recommendations and the Cosine Similarity Metric-en.srt	17.85 kB
05 Content-Based Filtering/025 Content-Based Recommendations and the Cosine Similarity Metric.mp4	61.58 MB
05 Content-Based Filtering/026 K-Nearest-Neighbors and Content Recs-en.srt	8.14 kB
05 Content-Based Filtering/026 K-Nearest-Neighbors and Content Recs.mp4	19.61 MB
05 Content-Based Filtering/027 [Activity] Producing and Evaluating Content-Based Movie Recommendations-en.srt	10.33 kB
05 Content-Based Filtering/027 [Activity] Producing and Evaluating Content-Based Movie Recommendations.mp4	52.36 MB
05 Content-Based Filtering/028 [Activity] Bleeding Edge Alert Mise en Scene Recommendations-en.srt	8.61 kB
05 Content-Based Filtering/028 [Activity] Bleeding Edge Alert Mise en Scene Recommendations.mp4	46.52 MB
05 Content-Based Filtering/029 [Exercise] Dive Deeper into Content-Based Recommendations-en.srt	8.49 kB
05 Content-Based Filtering/029 [Exercise] Dive Deeper into Content-Based Recommendations.mp4	24.11 MB
06 Neighborhood-Based Collaborative Filtering/030 Measuring Similarity and Sparsity-en.srt	10.77 kB
06 Neighborhood-Based Collaborative Filtering/030 Measuring Similarity and Sparsity.mp4	59.10 MB
06 Neighborhood-Based Collaborative Filtering/031 Similarity Metrics-en.srt	18.83 kB
06 Neighborhood-Based Collaborative Filtering/031 Similarity Metrics.mp4	30.68 MB
06 Neighborhood-Based Collaborative Filtering/032 User-based Collaborative Filtering-en.srt	14.23 kB
06 Neighborhood-Based Collaborative Filtering/032 User-based Collaborative Filtering.mp4	34.21 MB
06 Neighborhood-Based Collaborative Filtering/033 [Activity] User-based Collaborative Filtering Hands-On-en.srt	9.61 kB
06 Neighborhood-Based Collaborative Filtering/033 [Activity] User-based Collaborative Filtering Hands-On.mp4	48.65 MB
06 Neighborhood-Based Collaborative Filtering/034 Item-based Collaborative Filtering-en.srt	8.83 kB
06 Neighborhood-Based Collaborative Filtering/034 Item-based Collaborative Filtering.mp4	52.23 MB
06 Neighborhood-Based Collaborative Filtering/035 [Activity] Item-based Collaborative Filtering Hands-On-en.srt	4.87 kB
06 Neighborhood-Based Collaborative Filtering/035 [Activity] Item-based Collaborative Filtering Hands-On.mp4	26.81 MB
06 Neighborhood-Based Collaborative Filtering/036 [Exercise] Tuning Collaborative Filtering Algorithms-en.srt	6.95 kB
06 Neighborhood-Based Collaborative Filtering/036 [Exercise] Tuning Collaborative Filtering Algorithms.mp4	19.70 MB
06 Neighborhood-Based Collaborative Filtering/037 [Activity] Evaluating Collaborative Filtering Systems Offline-en.srt	2.54 kB
06 Neighborhood-Based Collaborative Filtering/037 [Activity] Evaluating Collaborative Filtering Systems Offline.mp4	15.43 MB
06 Neighborhood-Based Collaborative Filtering/038 [Exercise] Measure the Hit Rate of Item-Based Collaborative Filtering-en.srt	4.45 kB
06 Neighborhood-Based Collaborative Filtering/038 [Exercise] Measure the Hit Rate of Item-Based Collaborative Filtering.mp4	9.50 MB
06 Neighborhood-Based Collaborative Filtering/039 KNN Recommenders-en.srt	8.22 kB
06 Neighborhood-Based Collaborative Filtering/039 KNN Recommenders.mp4	24.85 MB
06 Neighborhood-Based Collaborative Filtering/040 [Activity] Running User and Item-Based KNN on MovieLens-en.srt	4.66 kB
06 Neighborhood-Based Collaborative Filtering/040 [Activity] Running User and Item-Based KNN on MovieLens.mp4	23.76 MB
06 Neighborhood-Based Collaborative Filtering/041 [Exercise] Experiment with different KNN parameters.-en.srt	8.79 kB
06 Neighborhood-Based Collaborative Filtering/041 [Exercise] Experiment with different KNN parameters..mp4	41.26 MB
06 Neighborhood-Based Collaborative Filtering/042 Bleeding Edge Alert Translation-Based Recommendations-en.srt	4.89 kB
06 Neighborhood-Based Collaborative Filtering/042 Bleeding Edge Alert Translation-Based Recommendations.mp4	21.49 MB
07 Matrix Factorization Methods/043 Principal Component Analysis (PCA)-en.srt	14.07 kB
07 Matrix Factorization Methods/043 Principal Component Analysis (PCA).mp4	61.20 MB
07 Matrix Factorization Methods/044 Singular Value Decomposition-en.srt	13.54 kB
07 Matrix Factorization Methods/044 Singular Value Decomposition.mp4	25.07 MB
07 Matrix Factorization Methods/045 [Activity] Running SVD and SVD on MovieLens-en.srt	6.39 kB
07 Matrix Factorization Methods/045 [Activity] Running SVD and SVD on MovieLens.mp4	37.49 MB
07 Matrix Factorization Methods/046 Improving on SVD-en.srt	9.08 kB
07 Matrix Factorization Methods/046 Improving on SVD.mp4	23.07 MB
07 Matrix Factorization Methods/047 [Exercise] Tune the hyperparameters on SVD-en.srt	4.02 kB
07 Matrix Factorization Methods/047 [Exercise] Tune the hyperparameters on SVD.mp4	12.46 MB
07 Matrix Factorization Methods/048 Bleeding Edge Alert Sparse Linear Methods (SLIM)-en.srt	7.55 kB
07 Matrix Factorization Methods/048 Bleeding Edge Alert Sparse Linear Methods (SLIM).mp4	26.46 MB
08 Introduction to Deep Learning [Optional]/049 Deep Learning Introduction-en.srt	3.35 kB
08 Introduction to Deep Learning [Optional]/049 Deep Learning Introduction.mp4	17.62 MB
08 Introduction to Deep Learning [Optional]/050 Deep Learning Pre-Requisites-en.srt	17.85 kB
08 Introduction to Deep Learning [Optional]/050 Deep Learning Pre-Requisites.mp4	37.05 MB
08 Introduction to Deep Learning [Optional]/051 History of Artificial Neural Networks-en.srt	22.48 kB
08 Introduction to Deep Learning [Optional]/051 History of Artificial Neural Networks.mp4	84.21 MB
08 Introduction to Deep Learning [Optional]/052 [Activity] Playing with Tensorflow-en.srt	23.26 kB
08 Introduction to Deep Learning [Optional]/052 [Activity] Playing with Tensorflow.mp4	145.40 MB
08 Introduction to Deep Learning [Optional]/053 Training Neural Networks-en.srt	12.45 kB
08 Introduction to Deep Learning [Optional]/053 Training Neural Networks.mp4	38.35 MB
08 Introduction to Deep Learning [Optional]/054 Tuning Neural Networks-en.srt	8.26 kB
08 Introduction to Deep Learning [Optional]/054 Tuning Neural Networks.mp4	31.27 MB
08 Introduction to Deep Learning [Optional]/055 Introduction to Tensorflow-en.srt	25.95 kB
08 Introduction to Deep Learning [Optional]/055 Introduction to Tensorflow.mp4	92.47 MB
08 Introduction to Deep Learning [Optional]/056 [Activity] Handwriting Recognition with Tensorflow part 1-en.srt	33.29 kB
08 Introduction to Deep Learning [Optional]/056 [Activity] Handwriting Recognition with Tensorflow part 1.mp4	181.85 MB
08 Introduction to Deep Learning [Optional]/057 [Activity] Handwriting Recognition with Tensorflow part 2-en.srt	13.37 kB
08 Introduction to Deep Learning [Optional]/057 [Activity] Handwriting Recognition with Tensorflow part 2.mp4	57.58 MB
08 Introduction to Deep Learning [Optional]/058 Introduction to Keras-en.srt	6.18 kB
08 Introduction to Deep Learning [Optional]/058 Introduction to Keras.mp4	16.45 MB
08 Introduction to Deep Learning [Optional]/059 [Activity] Handwriting Recognition with Keras-en.srt	19.58 kB
08 Introduction to Deep Learning [Optional]/059 [Activity] Handwriting Recognition with Keras.mp4	88.71 MB
08 Introduction to Deep Learning [Optional]/060 Classifier Patterns with Keras-en.srt	8.03 kB
08 Introduction to Deep Learning [Optional]/060 Classifier Patterns with Keras.mp4	24.84 MB
08 Introduction to Deep Learning [Optional]/061 [Exercise] Predict Political Parties of Politicians with Keras-en.srt	17.87 kB
08 Introduction to Deep Learning [Optional]/061 [Exercise] Predict Political Parties of Politicians with Keras.mp4	100.21 MB
08 Introduction to Deep Learning [Optional]/062 Intro to Convolutional Neural Networks (CNNs)-en.srt	17.95 kB
08 Introduction to Deep Learning [Optional]/062 Intro to Convolutional Neural Networks (CNNs).mp4	78.19 MB
08 Introduction to Deep Learning [Optional]/063 CNN Architectures-en.srt	6.27 kB
08 Introduction to Deep Learning [Optional]/063 CNN Architectures.mp4	22.54 MB
08 Introduction to Deep Learning [Optional]/064 [Activity] Handwriting Recognition with Convolutional Neural Networks (CNNs)-en.srt	16.75 kB
08 Introduction to Deep Learning [Optional]/064 [Activity] Handwriting Recognition with Convolutional Neural Networks (CNNs).mp4	82.28 MB
08 Introduction to Deep Learning [Optional]/065 Intro to Recurrent Neural Networks (RNNs)-en.srt	15.54 kB
08 Introduction to Deep Learning [Optional]/065 Intro to Recurrent Neural Networks (RNNs).mp4	49.64 MB
08 Introduction to Deep Learning [Optional]/066 Training Recurrent Neural Networks-en.srt	6.63 kB
08 Introduction to Deep Learning [Optional]/066 Training Recurrent Neural Networks.mp4	20.72 MB
08 Introduction to Deep Learning [Optional]/067 [Activity] Sentiment Analysis of Movie Reviews using RNNs and Keras-en.srt	22.69 kB
08 Introduction to Deep Learning [Optional]/067 [Activity] Sentiment Analysis of Movie Reviews using RNNs and Keras.mp4	119.78 MB
09 Deep Learning for Recommender Systems/068 Intro to Deep Learning for Recommenders-en.srt	4.80 kB
09 Deep Learning for Recommender Systems/068 Intro to Deep Learning for Recommenders.mp4	42.62 MB
09 Deep Learning for Recommender Systems/069 Restricted Boltzmann Machines (RBMs)-en.srt	16.19 kB
09 Deep Learning for Recommender Systems/069 Restricted Boltzmann Machines (RBMs).mp4	31.67 MB
09 Deep Learning for Recommender Systems/070 [Activity] Recommendations with RBMs part 1-en.srt	25.06 kB
09 Deep Learning for Recommender Systems/070 [Activity] Recommendations with RBMs part 1.mp4	144.44 MB
09 Deep Learning for Recommender Systems/071 [Activity] Recommendations with RBMs part 2-en.srt	14.09 kB
09 Deep Learning for Recommender Systems/071 [Activity] Recommendations with RBMs part 2.mp4	76.73 MB
09 Deep Learning for Recommender Systems/072 [Activity] Evaluating the RBM Recommender-en.srt	6.67 kB
09 Deep Learning for Recommender Systems/072 [Activity] Evaluating the RBM Recommender.mp4	37.67 MB
09 Deep Learning for Recommender Systems/073 [Exercise] Tuning Restricted Boltzmann Machines-en.srt	3.82 kB
09 Deep Learning for Recommender Systems/073 [Exercise] Tuning Restricted Boltzmann Machines.mp4	33.61 MB
09 Deep Learning for Recommender Systems/074 Exercise Results Tuning a RBM Recommender-en.srt	2.43 kB
09 Deep Learning for Recommender Systems/074 Exercise Results Tuning a RBM Recommender.mp4	11.85 MB
09 Deep Learning for Recommender Systems/075 Auto-Encoders for Recommendations Deep Learning for Recs-en.srt	9.40 kB
09 Deep Learning for Recommender Systems/075 Auto-Encoders for Recommendations Deep Learning for Recs.mp4	26.91 MB
09 Deep Learning for Recommender Systems/076 [Activity] Recommendations with Deep Neural Networks-en.srt	13.33 kB
09 Deep Learning for Recommender Systems/076 [Activity] Recommendations with Deep Neural Networks.mp4	75.41 MB
09 Deep Learning for Recommender Systems/077 Clickstream Recommendations with RNNs-en.srt	15.17 kB
09 Deep Learning for Recommender Systems/077 Clickstream Recommendations with RNNs.mp4	48.72 MB
09 Deep Learning for Recommender Systems/078 [Exercise] Get GRU4Rec Working on your Desktop-en.srt	5.32 kB
09 Deep Learning for Recommender Systems/078 [Exercise] Get GRU4Rec Working on your Desktop.mp4	7.46 MB
09 Deep Learning for Recommender Systems/079 Exercise Results GRU4Rec in Action-en.srt	16.30 kB
09 Deep Learning for Recommender Systems/079 Exercise Results GRU4Rec in Action.mp4	62.65 MB
09 Deep Learning for Recommender Systems/080 Bleeding Edge Alert Deep Factorization Machines-en.srt	11.44 kB
09 Deep Learning for Recommender Systems/080 Bleeding Edge Alert Deep Factorization Machines.mp4	57.36 MB
09 Deep Learning for Recommender Systems/081 More Emerging Tech to Watch-en.srt	10.58 kB
09 Deep Learning for Recommender Systems/081 More Emerging Tech to Watch.mp4	27.64 MB
10 Scaling it Up/082 [Activity] Introduction and Installation of Apache Spark-en.srt	8.20 kB
10 Scaling it Up/082 [Activity] Introduction and Installation of Apache Spark.mp4	53.32 MB
10 Scaling it Up/083 Apache Spark Architecture-en.srt	10.27 kB
10 Scaling it Up/083 Apache Spark Architecture.mp4	17.36 MB
10 Scaling it Up/084 [Activity] Movie Recommendations with Spark Matrix Factorization and ALS-en.srt	11.17 kB
10 Scaling it Up/084 [Activity] Movie Recommendations with Spark Matrix Factorization and ALS.mp4	55.61 MB
10 Scaling it Up/085 [Activity] Recommendations from 20 million ratings with Spark-en.srt	8.37 kB
10 Scaling it Up/085 [Activity] Recommendations from 20 million ratings with Spark.mp4	50.67 MB
10 Scaling it Up/086 Amazon DSSTNE-en.srt	9.20 kB
10 Scaling it Up/086 Amazon DSSTNE.mp4	42.31 MB
10 Scaling it Up/087 DSSTNE in Action-en.srt	11.64 kB
10 Scaling it Up/087 DSSTNE in Action.mp4	116.66 MB
10 Scaling it Up/088 Scaling Up DSSTNE-en.srt	4.18 kB
10 Scaling it Up/088 Scaling Up DSSTNE.mp4	10.44 MB
10 Scaling it Up/089 AWS SageMaker and Factorization Machines-en.srt	8.43 kB
10 Scaling it Up/089 AWS SageMaker and Factorization Machines.mp4	15.58 MB
10 Scaling it Up/090 SageMaker in Action Factorization Machines on one million ratings in the cloud-en.srt	12.90 kB
10 Scaling it Up/090 SageMaker in Action Factorization Machines on one million ratings in the cloud.mp4	68.34 MB
11 Real-World Challenges of Recommender Systems/091 The Cold Start Problem (and solutions)-en.srt	13.24 kB
11 Real-World Challenges of Recommender Systems/091 The Cold Start Problem (and solutions).mp4	27.79 MB
11 Real-World Challenges of Recommender Systems/092 [Exercise] Implement Random Exploration-en.srt	1.79 kB
11 Real-World Challenges of Recommender Systems/092 [Exercise] Implement Random Exploration.mp4	2.20 MB
11 Real-World Challenges of Recommender Systems/093 Exercise Solution Random Exploration-en.srt	4.15 kB
11 Real-World Challenges of Recommender Systems/093 Exercise Solution Random Exploration.mp4	24.17 MB
11 Real-World Challenges of Recommender Systems/094 Stoplists-en.srt	10.30 kB
11 Real-World Challenges of Recommender Systems/094 Stoplists.mp4	19.91 MB
11 Real-World Challenges of Recommender Systems/095 [Exercise] Implement a Stoplist-en.srt	1.16 kB
11 Real-World Challenges of Recommender Systems/095 [Exercise] Implement a Stoplist.mp4	1.35 MB
11 Real-World Challenges of Recommender Systems/096 Exercise Solution Implement a Stoplist-en.srt	4.29 kB
11 Real-World Challenges of Recommender Systems/096 Exercise Solution Implement a Stoplist.mp4	26.71 MB
11 Real-World Challenges of Recommender Systems/097 Filter Bubbles Trust and Outliers-en.srt	12.16 kB
11 Real-World Challenges of Recommender Systems/097 Filter Bubbles Trust and Outliers.mp4	92.41 MB
11 Real-World Challenges of Recommender Systems/098 [Exercise] Identify and Eliminate Outlier Users-en.srt	1.62 kB
11 Real-World Challenges of Recommender Systems/098 [Exercise] Identify and Eliminate Outlier Users.mp4	1.77 MB
11 Real-World Challenges of Recommender Systems/099 Exercise Solution Outlier Removal-en.srt	7.55 kB
11 Real-World Challenges of Recommender Systems/099 Exercise Solution Outlier Removal.mp4	38.49 MB
11 Real-World Challenges of Recommender Systems/100 Fraud The Perils of Clickstream and International Concerns-en.srt	9.68 kB
11 Real-World Challenges of Recommender Systems/100 Fraud The Perils of Clickstream and International Concerns.mp4	58.23 MB
11 Real-World Challenges of Recommender Systems/101 Temporal Effects and Value-Aware Recommendations-en.srt	7.50 kB
11 Real-World Challenges of Recommender Systems/101 Temporal Effects and Value-Aware Recommendations.mp4	54.02 MB
12 Case Studies/102 Case Study YouTube Part 1-en.srt	7.22 kB
12 Case Studies/102 Case Study YouTube Part 1.mp4	26.91 MB
12 Case Studies/103 Case Study YouTube Part 2-en.srt	14.21 kB
12 Case Studies/103 Case Study YouTube Part 2.mp4	26.26 MB
12 Case Studies/104 Case Study Netflix Part 1-en.srt	7.65 kB
12 Case Studies/104 Case Study Netflix Part 1.mp4	27.55 MB
12 Case Studies/105 Case Study Netflix Part 2-en.srt	7.63 kB
12 Case Studies/105 Case Study Netflix Part 2.mp4	26.57 MB
13 Hybrid Approaches/106 Hybrid Recommenders and Exercise-en.srt	5.51 kB
13 Hybrid Approaches/106 Hybrid Recommenders and Exercise.mp4	18.40 MB
13 Hybrid Approaches/107 Exercise Solution Hybrid Recommenders-en.srt	8.35 kB
13 Hybrid Approaches/107 Exercise Solution Hybrid Recommenders.mp4	33.18 MB
14 Wrapping Up/108 More to Explore-en.srt	4.98 kB
14 Wrapping Up/108 More to Explore.mp4	38.93 MB
14 Wrapping Up/109 Bonus Lecture Companion Book and More Courses from Sundog Education-en.srt	1.66 kB
14 Wrapping Up/109 Bonus Lecture Companion Book and More Courses from Sundog Education.mp4	21.12 MB
14 Wrapping Up/109 Building-Recommender-Systems-book-on-Amazon.txt	23.00 B
14 Wrapping Up/109 Sundog-Education-website.txt	35.00 B
Udemy Course downloader.txt	94.00 B
udemycoursedownloader.com.url	132.00 B

Description

Description
Learn how to build recommender systems from one of Amazon's pioneers in the field. Frank Kane spent over nine years at Amazon, where he managed and led the development of many of Amazon's personalized product recommendation technologies.

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 employersout there, and by understanding how they work, you'll become very valuable to them.