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LEARN ML: Learn Applied ML with the MVP Light Stack Method

Books

MVP Light Stack Field Guide

Python Web Work - Prototyping Guide for Makers

Use HTML5 Templates, Serve Dynamic Content, Build Machine Learning Web Apps, Grow Audiences & Conquer the World!

MVP Light Stack Field Guide

MVP Light Stack Field Guide
Take your Python MVP to the web as quickly and cheaply as possible.

This book and video course are about one thing, getting your presence on the web as quickly as possible.

The Little Book of Fundamental Indicators

The Little Book of Fundamental Indicators: Hands-On Market Analysis with Python
Find Your Market Bearings with Python, Jupyter Notebooks, and Freely Available Data

Grow Your Web Brand, Visibility and Traffic Organically

Grow Your Web Brand, Visibility & Traffic Organically
5 Years of amunategui.github.Io and the Lessons I Learned from Growing My Online Community from the Ground Up

Monetizing Machine Learning

Monetizing Machine Learning
Quickly Turn Python ML Ideas into Web Applications on the Serverless Cloud

Monetizing Machine Learning - Chinese Edition

Monetizing Machine Learning - Chinese Edition
Quickly Turn Python ML Ideas into Web Applications on the Serverless Cloud

Create Income Streams with Online Classes

Create Income Streams with Online Classes
Design Classes That Generate Long-Term Revenue

Defense Against The Dark Digital Attacks

Defense Against The Dark Digital Attacks
How to Protect Your Identity and Workflow in 2019

Fringe Tactics - Finding Motivation in Unusual Places

Fringe Tactics - Finding Motivation in Unusual Places
Alternative Ways of Coaxing Motivation Using Raw Inspiration, Fear, and In-Your-Face Logic

Applied Cloud Deep Semantic Recognition

Applied Cloud Deep Semantic Recognition: Advanced Anomaly Detection
CHAPTER 10 - A Practical Look at Anomaly Detection using Autoencoders with H2O and the R Programming Language

Global Squawk Box

Global Squawk Box
Evaluating Internet Financial Message Board Traffic as a Technical Indicator (MTA - Journal of Technical Analysis 2006 - Issue 64, pages 12-19)

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