Tag

learning

Object-Oriented Coding in Python

From The Well-Grounded Python Developer by Doug Farrell

This article delves into using the OOP coding paradigm in the Python language.

The path to becoming a Pythonista

From The Well-Grounded Python Developer by Doug Farrell

The Cool Way to Search Text

The Cool Way to Search Text

By Scott Penbertht and Chris Mattmann

When Machine Learning Becomes Machine Design: new paradigms and patterns for automated deep learning

Andrew Ferlitsch reveals new paradigms–and patterns–for automated deep learning

Andrew Ferlitsch, from the developer relations team at Google Cloud AI, is so far out on the cutting edge of machine learning and artificial intelligence that he has to invent new terminology to describe what’s happening in Cloud AI with Google Cloud’s enterprise clients. In this interview with editors at Manning Publications, he talks about the current and coming changes in machine learning systems, starting with the concept of model amalgamation. Ferlitsch is currently writing a book, Deep Learning Design Patterns, which collects his ideas along with the most important composable model components.

Read more author interviews here

Transparent and understandable AI systems

From Interpretable AI by Ajay Thampi

Leverage Cloud-Based Machine Learning Services

From Serverless Machine Learning in Action by Carl Osipov

Understanding the Math Behind the Algorithms

From Math and Architectures of Deep Learning by Krishnendu Chaudhury

Store, Analyse, and Filter Data Better

From Pandas in Action by Boris Paskhaver

Learn Machine Learning by Making Projects

From Machine Learning Bookcamp by Alexey Grigorev

Leverage the Power of Machine Learning

From Machine Learning with TensorFlow, Second Edition by Chris A. Mattmann

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