2D Pose Estimates (1) AutoTrader.com (1) Bernoulli (1) Cars (1) Clustering (1) Collaborative Recommendation System (1) Commodities Market (1) Computer Vision (1) Content Based Recommendation System (1) Cross-Entropy (1) E-M algorithm (2) Feature Extraction (1) Forecasting (1) Generative models (1) Handwritten digits (1) Image Classification (1) K-means (1) Keras (1) LSA (2) Latent Semantic Analysis (2) Loss Functions (1) MNIST (1) Matrix Factorization (2) Maximum Likelihood Estimation (1) Mixture Models (1) NLP (1) Naive Solution (1) Natural Language Processing (1) Neural Networks (1) Objective Functions (1) OpenPose (1) Pose Estimation (1) Pretrained Models (1) Recommendation Systems (1) Regression (1) SVD (1) Salsa (1) Salsa Videos (1) Search (1) Simon Funk (1) Stanford Cars (1) Statistical Framework (1) Stock Forecasting (1) Stock Market (1) Successive optimization (1) Surprise (1) Theory (1) Time Series (1) Tokenization (1) Topic Modeling (1) Unsupervised Learning (1) Video search engine (1) YouTube (1) content-based recommendation systems (1) recommendation system (1) search engine (1) video (2)

 2D Pose Estimates (1)

Building a Video Search Engine

 AutoTrader.com (1)

Classifying Car Images Using Features Extracted from Pretrained Neural Networks

 Bernoulli (1)

Clusterning Handwritten Digits using Mixture of Bernoulli Distributions

 Cars (1)

Classifying Car Images Using Features Extracted from Pretrained Neural Networks

 Clustering (1)

Centroid-based Clustering K-Means Algorithm

 Collaborative Recommendation System (1)

Recommendation System for Cookbooks

 Commodities Market (1)

Predicting Tomorrows Gold Price

 Computer Vision (1)

Building a Video Search Engine

 Content Based Recommendation System (1)

Recommendation System for Cookbooks

 Cross-Entropy (1)

An Introduction to Objective Functions Used in Machine Learning

 E-M algorithm (2)

Centroid-based Clustering K-Means Algorithm
Clusterning Handwritten Digits using Mixture of Bernoulli Distributions

 Feature Extraction (1)

Classifying Car Images Using Features Extracted from Pretrained Neural Networks

 Forecasting (1)

Predicting Tomorrows Gold Price

 Generative models (1)

Clusterning Handwritten Digits using Mixture of Bernoulli Distributions

 Handwritten digits (1)

Clusterning Handwritten Digits using Mixture of Bernoulli Distributions

 Image Classification (1)

Classifying Car Images Using Features Extracted from Pretrained Neural Networks

 K-means (1)

Centroid-based Clustering K-Means Algorithm

 Keras (1)

Classifying Car Images Using Features Extracted from Pretrained Neural Networks

 LSA (2)

Building a Video Search Engine
Recommendation System for Cookbooks

 Latent Semantic Analysis (2)

Building a Video Search Engine
Recommendation System for Cookbooks

 Loss Functions (1)

An Introduction to Objective Functions Used in Machine Learning

 MNIST (1)

Clusterning Handwritten Digits using Mixture of Bernoulli Distributions

 Matrix Factorization (2)

Building a Video Search Engine
Recommendation System for Cookbooks

 Maximum Likelihood Estimation (1)

An Introduction to Objective Functions Used in Machine Learning

 Mixture Models (1)

Clusterning Handwritten Digits using Mixture of Bernoulli Distributions

 NLP (1)

Recommendation System for Cookbooks

 Naive Solution (1)

Predicting Tomorrows Gold Price

 Natural Language Processing (1)

Recommendation System for Cookbooks

 Neural Networks (1)

Building a Video Search Engine

 Objective Functions (1)

An Introduction to Objective Functions Used in Machine Learning

 OpenPose (1)

Building a Video Search Engine

 Pose Estimation (1)

Building a Video Search Engine

 Pretrained Models (1)

Classifying Car Images Using Features Extracted from Pretrained Neural Networks

 Recommendation Systems (1)

Recommendation System for Cookbooks

 Regression (1)

Predicting Tomorrows Gold Price

 SVD (1)

Recommendation System for Cookbooks

 Salsa (1)

Building a Video Search Engine

 Salsa Videos (1)

Building a Video Search Engine
Building a Video Search Engine

 Simon Funk (1)

Recommendation System for Cookbooks

 Stanford Cars (1)

Classifying Car Images Using Features Extracted from Pretrained Neural Networks

 Statistical Framework (1)

An Introduction to Objective Functions Used in Machine Learning

 Stock Forecasting (1)

Predicting Tomorrows Gold Price

 Stock Market (1)

Predicting Tomorrows Gold Price

 Successive optimization (1)

Centroid-based Clustering K-Means Algorithm

 Surprise (1)

Recommendation System for Cookbooks

 Theory (1)

An Introduction to Objective Functions Used in Machine Learning

 Time Series (1)

Predicting Tomorrows Gold Price

 Tokenization (1)

Recommendation System for Cookbooks

 Topic Modeling (1)

Recommendation System for Cookbooks

 Unsupervised Learning (1)

Clusterning Handwritten Digits using Mixture of Bernoulli Distributions
Building a Video Search Engine

 YouTube (1)

Building a Video Search Engine

 content-based recommendation systems (1)

Building a Video Search Engine

 recommendation system (1)

Building a Video Search Engine
Building a Video Search Engine

 video (2)

Building a Video Search Engine
Building a Video Search Engine