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Machine Learning Guide

Teaches the high level fundamentals of machine learning and artificial intelligence. I teach basic intuition, algorithms, and math. I discuss languages and frameworks, deep learning, and more. Audio may seem inferior, but it's a great supplement during exercise/commute/chores. Where your other resources provide the machine learning trees, I provide the forest. Consider me your syllabus. At the end of every episode I provide high-quality curated resources for learning each episode’s details.

info_outline 030 New Series: Machine Learning Applied 05/24/2018
info_outline 029 Reinforcement Learning Intro 02/05/2018
info_outline 028 Hyperparameters 2 02/04/2018
info_outline 027 Hyperparameters 1 01/28/2018
info_outline 026 Project Bitcoin Trader 01/27/2018
info_outline 025 Convolutional Neural Networks 10/30/2017
info_outline 024 Tech Stack 10/07/2017
info_outline 023 Deep NLP 2 08/20/2017
info_outline 022 Deep NLP 1 07/29/2017
info_outline 021 New Series: Machine Learning Applied 07/27/2017
info_outline 020 Natural Language Processing 3 07/23/2017
info_outline 019 Natural Language Processing 2 07/11/2017
info_outline 018 Natural Language Processing 1 06/26/2017
info_outline 017 Checkpoint 06/04/2017
info_outline 016 Consciousness 05/21/2017
info_outline 015 Performance 05/07/2017
info_outline 014 Shallow Algos 3 04/23/2017
info_outline 013 Shallow Algos 2 04/09/2017
info_outline 012 Shallow Algos 1 03/19/2017
info_outline 011 Checkpoint 03/08/2017
info_outline 010 Languages & Frameworks 03/07/2017
info_outline 009 Deep Learning 03/04/2017
info_outline 008 Math 02/23/2017
info_outline 007 Logistic Regression 02/19/2017
info_outline 006 Certificates & Degrees 02/17/2017
info_outline 005 Linear Regression 02/16/2017
info_outline 004 Algorithms - Intuition 02/12/2017
info_outline 003 Inspiration 02/10/2017
info_outline 002 What is AI / ML 02/09/2017
info_outline 001 Introduction 02/01/2017
 
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