“…What makes this book unique and of added value is that it offers concise case law entries, consisting of a mixture of quotes and summaries. …”

“…After that, things run more or less chronologically-a short notice on the Dialecticians, three essays on aspects of Stoic logic, a pair of papers on ancient theories of meaning, items on adverbs and connectors, on Philoponus and Boethius, and on an anonymous tract written in the autumn of 1007 AD. All in all, there is matter to divert scholars and students of ancient philosophy…”

“…You'll get a solid foundation in the math essential for data science, but more importantly, you'll be able to use it to: Recognize the nuances and pitfalls of probability math Master statistics and hypothesis testing (and avoid common pitfalls) Discover practical applications of probability, statistics, calculus, and machine learning Intuitively understand linear algebra as a transformation of space, not just grids of numbers being multiplied and added Perform calculus derivatives and integrals completely from scratch in Python Apply what you've learned to machine learning, including linear regression, logistic regression, and neural networks --…”