Which tools for data science to choose for your career? Here’s a comprehensive list of 20 plus data science tools and machine learning tools you should know
Understand image classification using CNN and explore how to create, train, and evaluate neural networks for image classification tasks.
Guide to graph representation of data and how to perform feature extraction from graphs using DeepWalk. Learn about DeepWalk and its python implementation
Singular Value Decomposition (SVD) is a common dimensionality reduction technique in data science. Read about the common application of SVD is data science.
Learn how to build your own recommendation system in Python using word2vec. Work on a retail dataset using word2vec in Python to recommend products.
What is machine learning? What are the applications of ML? Types of Machine Learning - Supervised, Unsupervised, Reinforcement.
Go deep into the understanding of convolutional neural networks in this in-depth tutorial. Get insights on why they are so popular to use for computer vision
Guide to building recommendation engines from scratch in Python. Learn to build a recommendation engine using matrix factorization.
This article list down the game changing events in data science industry and hints they give for the future of data science
An introduction to recurrent neural networks. This article explains fundamentals of deep learning and implementation of rnn in keras.
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