Data Science (and R - Statistical Programming)
by Roger D. Peng [John Hopkins University]
Practical Linear Algebra for Data Science - Mike X Cohen
summary: Core concepts of linear algebra as implemented in Python, including how they're used in data science, machine learning, deep learning, computational simulations, and biomedical data processing applications. Armed with knowledge from this book, you'll be able to understand, implement, and adapt myriad modern analysis methods and algorithms.
No comments:
Post a Comment