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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.

Cate Lawrence
November 24, 2020

Ludwig Toolbox Makes Deep Learning Accessible to All

The last decade has seen exponential growth in deep learning capabilities and their application in research and development. Traditionally deep learning as a discipline has been limited to those with considerable training and knowledge of machine learning and AI. Fortunately, we’ve seen the growth in efforts to democratize deep learning such as the creation of  Ludwig… Read more

Deep Learning
Ludwig Toolbox Makes Deep Learning Accessible to All

AI Ladder: the IBM Approach to Artificial Intelligence

By Vito Gentile

Questions and Answers in Virtual Assistants

By Cate Lawrence

The Challenge of Ethics in AI

By Cate Lawrence

Want to Learn about Genetic Algorithms? Start Life Hacking

By Cate Lawrence

What Are the Main Areas of Development for a Data Analyst’s Career?

By Lorenzo Ermigiotti

Seeing Is Believing: Image Recognition on a €10 MCU

By Mark Patrick, Mouser Electronics

Exploring LIME Explanations and the Mathematics Behind It

By Denis Rothman

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
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