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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.

Paolo Caressa
August 27, 2020

Google AI Hub: what, why, how

Artificial intelligence (AI) and machine learning (ML) increasingly seem to be indispensable tools that developers need to be able to handle. There are many ways these tools can be put to use, applied to applications and products. In research and academia, the subject has been around for 70 years or so – more or less… Read more

AI/ML
Google AI Hub: what, why, how

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

Artificial Intelligence: “the new electricity”

By Paolo Caressa

Why do some machine learning models fail?

By Leo Sorge

Making the Leap into AI/Machine Learning

By Cate Lawrence
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