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AI/ML

From the early pioneers of AI to the latest advancements in machine learning, this collection is your gateway to understanding how AI is transforming our world and propelling us into a future where the boundaries between humans and machines continue to blur.

Denis Rothman
October 7, 2020

Exploring LIME Explanations and the Mathematics Behind It

The expansion of artificial intelligence (AI) relies on trust. Users will reject machine learning (ML) systems they cannot trust. We will not trust decisions made by models that do not provide clear explanations. An AI system must provide clear explanations, or it will gradually become obsolete. This article is an excerpt from the book Hands-on… Read more

AI/ML
Exploring LIME Explanations and the Mathematics Behind It

How AI Can Help Solve the Challenges of Economic and Financial Inequality

By Cate Lawrence

ML at the Edge: a Practical Example

By Mark Patrick, Mouser Electronics

Google AI Hub: what, why, how

By Paolo Caressa

Genetic Algorithms: A Developer’s Perspective

By Paolo Caressa

Getting started with edge machine learning

By Mark Patrick, Mouser Electronics

The cutting edge of real-time AI

By Mark Patrick, Mouser Electronics

Logging in Python: a broad, gentle introduction

By Riccardo Menoli

TensorFlow Furthers the Development of Machine Learning

By Cate Lawrence

The Evolution of Conversational AI According to Rasa

By Cate Lawrence

How to build a GAN in Python

By Paolo Caressa

IBM Think Digital 2020: AI for Enterprise and the Value of Language

By Cate Lawrence

Epidemic Intelligence, part 2: data, models and machine learning in the age of Coronavirus

By Paolo Caressa

BERT: how Google changed NLP (and how to benefit from this)

By Paolo Caressa

Using Machine Learning to diagnose COVID-19

By Toby Moncaster

Epidemic Intelligence, part 1: data, models and machine learning in the age of Coronavirus

By Paolo Caressa
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