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.
Read MoreSome Books Were Read: 2021
Here are some notes on a few books I enjoyed and learned from in 2021, not all of which are books published that year.
Read MoreSome books were read: 2020
Here are some notes on a few books I enjoyed and learned from in 2020, not all of which are books published that year.
Read MoreSome Books Were Read: 2017
A nice thing about 2017 was getting to read more books than previous years, with the aim of working my way back to an inveterate reader. Here are some notes on a few I enjoyed over the year.
Read More