[Udacity] – AI Programming with Python (Nanodegree Program)

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Course preview What You Will Learn? Learn AI Fundamentals Learn the essential foundations of AI: the programming tools (Python, NumPy, PyTorch), the math (calculus and linear algebra), and the key techniques of neural networks (gradient descent and backpropagation). Why Take This Nanodegree Program? Learning to program with Python, one of the most widely used languages

[Udemy] – Building Recommender Systems with Machine Learning and AI

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Course Preview What you’ll learn Understand and apply user-based and item-based collaborative filtering to recommend items to users Create recommendations using deep learning at massive scale Build recommender systems with neural networks and Restricted Boltzmann Machines (RBM’s) Make session-based recommendations with recurrent neural networks and Gated Recurrent Units (GRU) Build a framework for testing and

[Udemy] – Artificial Intelligence 2018: Build the Most Powerful AI

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Learn, build and implement the most powerful AI model at home. Compete with multi-billion dollars companies using ARS. Created by Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team Last updated 9/2018 English English [Auto-generated]  What Will I Learn? Build an AI Understand the theory behind augmented random search algorithm Learn how to build most powerful AI algorithm

[Packtpub.Com] – Building Recommender Systems with Machine Learning and AI

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By: Frank KaneReleased: Friday, September 21, 2018  Help people discover new products and content with deep learning, neural networks, and machine learning recommendations. Video Details ISBN 9781789803273Course Length 9 hours 14 minutes Table of Contents GETTING STARTED INTRODUCTION TO PYTHON EVALUATING RECOMMENDER SYSTEMS A RECOMMENDER ENGINE FRAMEWORK CONTENT-BASED FILTERING NEIGHBORHOOD-BASED COLLABORATIVE FILTERING MATRIX FACTORIZATION METHODS