|||

AlphaGO Zero learns on its own

The news dropped that Google’s new implementation of AlphaGo, called AlphaGO Zero, was able to learn completely on its own. No training set was first used, rather it built it’s own training set as it played against the older AlphaGO.

Earlier versions of AlphaGo were taught to play the game using two methods. In the first, called supervised learning, researchers fed the program 100,000 top amateur Go games and taught it to imitate what it saw. In the second, called reinforcement learning, they had the program play itself and learn from the results.

AlphaGo Zero skipped the first step. The program began as a blank slate, knowing only the rules of Go, and played games against itself. At first, it placed stones randomly on the board. Over time it got better at evaluating board positions and identifying advantageous moves. It also learned many of the canonical elements of Go strategy and discovered new strategies all its own. via Quantamagazine

Imagine if you took this deep learning technology and used it on the Quantum Computer Google is developing? Amazing times we are living in.

Up next Installing Keras Deep Learning with RapidMiner The Rise of Machine Learning Trading This is huge if you ask me. First it was roboadvisers and now the machines are going to take over trading. The machine learning agent found and
Latest posts The Ye Old Blog List Motorola: Then and Now EWM Redux Testing for mean reversion with Python & developing simple VIX system - Talaikis unsorted - Tadas Talaikis Blog Steps to calculate centroids in cluster using K-means clustering algorithm - Data Science Central Basics of Statistical Mean Reversion Testing - QuantStart Algorithmic trading in less than 100 lines of Python code - O’Reilly Media Interpreting Machine Learning Models Microsoft the AI Powerhouse Investing in the S&P500 still beats AI Trading Microsoft makes a push to simplify machine learning | TechCrunch 10 Great Articles On Python Development — Hacker Noon Introduction to Keras Democratising Machine learning with H2O — Towards Data Science Getting started with Python datatable | Kaggle Phone Addiction Version 12 Launches Today! Machine Learning Making Pesto Tastier 5 Dangerous Things You Should Let Your Kids Do The Pyschology of Writing Investing in 2019 and beyond TensorFlow and High Level APIs Driving Marketing Performance with H2O Driverless AI Machine Learning and Data Munging in H2O Driverless AI with datatable Making AI Happen Without Getting Fired Latest Musings from a Traveling Sales Engineer The Night before H2O World 2019 Why Forex Trading is Frustrating Functional Programming in Python Automatic Feature Engineering with Driverless AI Ray Dalio's Pure Alpha Fund