ML Fundamentals

But why is a sphere's surface area four times its shadow?

My First Machine Learning Project (Tensorflow Deep-Learning)

Training a Deep Q-Network - Reinforcement Learning

Coding Tensorflow en Español - Episodio 1

Machine Learning with Tensorflow on Google Cloud Platform Specialization — Trailer

Data Science Specialization by Johns Hopkins University - Trailer

Checking out Data - Deep Learning in Halite AI competition p.4

Swift for TensorFlow (TensorFlow @ O’Reilly AI Conference, San Francisco '18)

5000 Subscribers - Thank You

TWed Talk: Neha Keshan on "Stress and Machine Learning"

BEAST & The GPU Cluster - Computerphile

Kubeflow Co-Founder: Machine Learning Workflows on Kubernetes Can Be Simple

7. Text Generation using LSTMs and GRUs

Building dataset - Deep Learning in Halite AI competition p.3

TWiML & AI x Fast.ai Machine Learning Study Group – Session 8 – November 25, 2018

ML/DL for Non-Stationary Time Series Analysis in Financial Markets and Beyond with Stuart Reid -...

A Gentle Introduction to Machine Learning

Five Firsts for Mars InSight

Understanding choice and life in Neural networks

Recurrent Neural Networks - EXPLAINED!

What Tech Can Learn from the Fashion Industry

Reinforcement Learning 6: Policy Gradients and Actor Critics

Reinforcement Learning 10: Classic Games Case Study

Build PyTorch CNN - Object Oriented Neural Networks

Quickly get CSV into datasets for Keras (TensorFlow Tip of the Week)

Basic Modeling for Discrete Optimization - Module 1 Summary by The University of Melbourne #8

Basic Modeling for Discrete Optimization - Global Constraints by The University of Melbourne #7

Basic Modeling for Discrete Optimization - Arrays and Comprehensions by University of Melbourne #6

Basic Modeling for Discrete Optimization - Modeling Objects by The University of Melbourne #5

Basic Modeling for Discrete Optimization - Models and Instances by The University of Melbourne #4

Basic Modeling for Discrete Optimization - Third Model by The University of Melbourne #3

Basic Modeling for Discrete Optimization - Second Model by The University of Melbourne #2

Basic Modeling for Discrete Optimization - First Steps by The University of Melbourne #1

Basic Modeling for Discrete Optimization - Welcome to Basic Modeling by The University of Melbourne

Deep Learning 6: Deep Learning for NLP

Deep Learning 5: Optimization for Machine Learning

Deep Learning 8: Unsupervised learning and generative models

Reinforcement Learning 8: Advanced Topics in Deep RL

Reinforcement Learning 7: Planning and Models

Reinforcement Learning 2: Exploration and Exploitation

Reinforcement Learning 3: Markov Decision Processes and Dynamic Programming

Reinforcement Learning 4: Model-Free Prediction and Control

Reinforcement Learning 5: Function Approximation and Deep Reinforcement Learning

Deep Learning 3: Neural Networks Foundations

Reinforcement Learning 1: Introduction to Reinforcement Learning

Deep Learning 2: Introduction to TensorFlow

Deep Learning 1: Introduction to Machine Learning Based AI

TWiML & AI x Fast.ai Machine Learning Study Group – Session 7 – November 18, 2018