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We recently launched our book on descriptive statistics with Python. If you haven't checked it out yet, this article or this PDF provides a sample of the first 36 pages of the book. Please don't forget that you can access this work, many more books, and other goodies by becoming a member. Next, if you are currently interested in pursuing a Ph.D. in machine learning or a related field, we recommend checking out this piece by machine learning at Carnegie Mellon, which highlights which questions you should consider asking a prospective Ph.D. advisor to make out the best possible match for your research interests. What properties of datasets drive modeling innovation?

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