Most of the recommendations from the previous chapter are also relevant to the material in this one. If you want to take linear algebra further and you like the style, the books Introduction to Linear Algebra, Linear Algebra and Learning From Data, and Linear Algebra and its Applications by G. Strang might be good for you. The second is especially relevant if you are interested in AI/ML.
You will learn more about linear algebra and matrices in MATH0006 Algebra 2 next term, and there are more advanced linear algebra courses in subsequent years such as MATH0014 Further Linear Algabra and MATH0058 Computational Methods. Full details and syllabuses can be found on my pathways webpage.