This is what I’ve added to DataSciGuide since 10/2/15:
- Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference – Bayesian Methods for Hackers illuminates Bayesian inference through probabilistic programming with the powerful PyMC language and the closely related Python tools NumPy, SciPy, and Matplotlib.
- Big Data: Principles and best practices of scalable realtime data systems – Big Data teaches you to build big data systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data.
- Multithreaded (stitchfix technology blog) – We are reinventing the retail industry through innovative technology.
- Not So Standard Deviations – Not So Standard Deviations: The Data Science Podcast Co-hosts: Roger Peng of the Johns Hopkins Bloomberg School of Public Health and Hilary Parker of Etsy.
- Pattern Recognition and Machine Learning – This textbook is suitable for courses on machine learning, statistics, computer science, signal processing, computer vision, data mining, and bioinformatics, and is aimed at advanced undergraduates or 1st-year PhD students, as well as practitioners.
- pyladies meetup groups (multiple locations) – We are a group of women developers worldwide who love the Python programming language.
- R in Action: Data Analysis and Graphics with R – This book will introduce you to the most important functions in the base R installation and more than 90 packages. The goal is practical application – how you can make sense of your data and communicate that understanding to others.
- ŷhat blog – machine learning, data science, engineering
I have some friends helping add some books this week, so more is on the way!
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