Written by Greg Gbur, this blog covers topics from "optics, history, and pulp fiction". There are numerous non-technical articles that provide an overview of research that is rarely described outside technical journals, such as singular optics, plasmonics, superoscillations, coherence, and optical cloaks. I regularly visit this blog to see what's new.

The author has also written fascinating books. For instance, Mathematical Methods for Optical Physics and Engineering covers topics from Mathematical Physics catered to the needs of people specialized in Optics. Topics such as fractional Fourier transforms, Zernike polynomials, special functions, Green's functions, and conformal mappings are given more room than in "classical" Mathematical Physics books. These concepts are put into practice with examples from waveguides, multiple scattering theory, transformation optics, and singular optics. I highly recommend this great read.

In Data-Driven Science and Engineering, Steve Brunton and Nathan Kutz give an extraodinary compilation of material from Data Science. If you know your Linear Algebra and have some basic knowledge of MATLAB programming, this book gets you started in Data Science and Machine Learning.

In addition, have a look at the fantastic YouTube channels by Brunton and Kutz.