Category: Artificial Intelligence

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Artificial Intelligence Education Reading

Latest Read: Managing Machine Learning Projects

Managing Machine Learning Projects: From design to deployment by Simon Thompson.

Managing Machine Learning Projects: From design to deployment by Simon Thompson

Simon holds a Phd in Philosophy from the University of Oxford UK. His is the former Director of AI research at BT Labs. Today he serves as the Head of Data Science at GFT Technologies.

Simon is revealing that managing ML projects to production can seem like navigating uncharted waters.

By revealing the challenges of accounting for large data resources to tracking multiple models, machine learning has very different requirements when compared to building traditional software applications. Simon does acknowledge this challenge and asks readers to execute this on a more even scale.

Managing Machine Learning Projects is an end-to-end guide for delivering ML applications on time and under budget. Simon is revealing the tools, approaches, and processes designed to handle the challenges of machine learning project management. To help readers Simon is deploying a full case study.

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Artificial Intelligence Education Reading

Latest Read: Understanding Large Language Models

Understanding Large Language Models: Learning Their Underlying Concepts and Technologies by Thimira Amaratunga.

Understanding Large Language Models: Learning Their Underlying Concepts and Technologies by Thimira Amaratunga

Thimira holds a MS in Computer Science from the University of Colombo. A long time senior software architect at Pearson, today he is a software engineer at CloudMarc and even holds patents related to dynamic neural networks and online learning semantics.

This book is teaching underlying concepts of Large Language Models (LLMs). Thimira begins by introducing ChatGPT, and how it links to LLMs. Readers will next learn about Natural Language Processing (NLP) which led to the development of LLMs.

Thimira is striving to tackle some rather complex concepts regarding LLMs and is presenting them to readers in such a manner that is easier to understand. He is also providing insights into architecture, functions, and applications.

For more mature programmers, the book is aiming to provide a thorough understanding of LLMs in order to inspire them to implement these models in their projects.

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Artificial Intelligence Education Reading

Latest Read: Learn AI-assisted Python Programming

Learn AI-assisted Python Programming: With GitHub Copilot and ChatGPT by Leo Porter and Daniel Zingaro.

Learn AI-assisted Python Programming: With GitHub Copilot and ChatGPT by Leo Porter and Daniel Zingaro

Leo holds an MS and PhD in Computer Science from the University of San Diego and is a Professor in Computer Science and Engineering at University of San Diego. Daniel holds a MS in Computer Science from McMaster University and PhD in Computer Science Education from the University of Toronto and is an Associate Professor at the University of Toronto.

Together, Leo and Daniel are sharing their to provide resources in leveraging both GitHub Copilot and ChatGPT to learn programming. Their book is targeting new users who seek to jump start their Python programming knowledge with modern AI tools.

Both are emphasizing how GitHub Copilot and ChatGPT are certainly delivering Python coding more accessible, breaking down the long held traditional barriers to understanding syntax and focusing on how users can leverage Python to focus on problem solving. This does reveal how AI can update code and correct beginners mistakes.

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Artificial Intelligence Education Reading

Latest Read: How AI Works

How AI Works: From Sorcery to Science by Ronald T. Kneusel.

How AI Works: From Sorcery to Science by Ronald T. Kneusel

Ron holds a Ms in Physics from Michigan State University and a PhD in Computer Science from the University of Colorado Boulder. He is a senior data scientist at the Harris Corporation.

This book is one of a select few that address AI for anyone new to the world of this technology. Ron is presenting the right explanation of AI components and teaches users how to see all the pieces together.

The most inviting aspect of his work is there is not a single math equation to confront. Perhaps even more striking (and inviting) readers do not need any understanding of computer programming. Yet, it would be misleading to then think users will not really learn about AI. Ron certainly is delivering without the math and coding.

Readers will be introduced to the relationships of AI’s umbrella components machine learning, and deep learning. To start, Ron is also addressing the history of AI and why now a true revolution has started which will have large impacts across society. This includes the rise of neural networks, how they are trained, and how the magic of ChatGPT works.

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Artificial Intelligence Blockchain Education Innovation Reading Technology

Latest Read: Unsupervised

Unsupervised: Navigating and Influencing a World Controlled by Powerful New Technologies by Daniel Doll-Steinberg and Stuart Leaf.

Unsupervised: Navigating and Influencing a World Controlled by Powerful New Technologies by Daniel Doll-Steinberg and Stuart Leaf

Daniel holds a BS in Engineering from The University of Manchester UK and Honorary Senior Research Associate from University College London. He is a lecturer at The Wharton School. He is co-founder and partner at EdenBase. Advisor to the UK Government and European Commission on innovation, growth, and education policy. Stuart holds a BA in Economics and MBA from Stanford. He is co-founder of the Cadogan fund.

Written by experienced technology fund managers, Daniel and Stuart are addressing the broad range of powerful new technologies which are disrupting and transforming everything. In fact their message is simply now is the time that you must act and adapt. This book was named a Bloomberg Best Book of 2023.

At first glance you may consider the focus upon Unsupervised Machine Learning, but that is way off base. Daniel and Stuart are providing an overview of how a core set of disruptive technologies have been developing at an accelerating pace that most of the world is not accustomed to seeing. They also question who is in fact in control of these technologies, and are emphasizing that these have developed for the most part without any supervision.

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