Machine Learning for Engineers: Book List 2024
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Machine Learning for Engineers: Book List 2024

At the end of 2019, I posted a book list for engineers new to machine learning, to help develop basic knowledge of the fundamentals, organised into four groups: Machine Learning & Algorithms, Tools & Frameworks, Data Science & Analysis, and Companion Mathematics. This post provides an updated book list using the same groups, which have held up well. At the time the list covered 26 books, this iteration is more concise, covering 11 books. This time around 3 are new, and 3 have seen updated editions in the interim.

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Machine Learning for Engineers: Book List
books Bill de hÓra books Bill de hÓra

Machine Learning for Engineers: Book List

In 2018, I posted a series of introductory, hands-on and more advanced book lists for engineers new to machine learning, to help develop a basic knowledge of machine learning fundamentals. This post provides an updated set of book recommendations reflecting changes since then, and an improved grouping for the books into mathematics, machine learning, data science, and programming tools.

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Thoughts for 2019

It's always interesting to look at the year ahead in technology, and so, some thoughts about 2019! These are less predictions, more extrapolations of what's already happening.

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Machine Learning For Engineers: Reading List 2

This is the second of a set of book reading lists written from the point of view of a software engineer who wants to develop a basic knowledge of machine learning. In Part 1, we looked at some introductory books to the discipline. Herein, we'll look at some more hands-on programming books.

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books Bill de hÓra books Bill de hÓra

Machine Learning For Engineers: Reading List 1

This is the first of a series of book reading lists written from the point of view of a software engineer who wants to develop a basic knowledge of machine learning fundamentals. In this part we'll look some introductory books and some background books for machine learning mathematics.

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Thoughts for 2018

Herein some thoughts about software technology 2018. I won't call these predictions, more extrapolations of what's already happening and what the second order effects might be.

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