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Free Data Science Books

learndatasci.com

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Re: Free Data Science Books

#51

Honest question: is ML/DS something you can just pick up and be hired[0]? May be I'm ignorant, but I'd think employers would look for a degree in some related field to actually consider you for a position doing it. [0] As in how you can pick up web hacking, do a few websites and create a reputation and get hired that way without a formal degree.

Market seems to want a lot of them, different profiles and CVs for different domains and responsibilities: data wranglers, data analysts, statisticians, machine learning, business analysts, communicators, infrastructure operators, big data architects. The best shot is coupling your academic / self-matured strength with a domain you really like and start building your own portfolio from real-world case studies in the field you choose.

Re: Free Data Science Books

#52
I really like this kind of stuff.

It's my opinion that our educational process is a bit too heavy on algorithms and languages while being a bit too light on data structures.

I like to brush up on this subject matter from time to time just to keep myself sharp.

Re: Free Data Science Books

#53
post #39

Earlier quoted context omitted.

What makes it seem like Python for Data Analysis is a pirated copy? I figured since it was hosted from Canisius College it would be legally distributed. I don't want to host pirated content, so if it is I will remove it.

The book is not listed at http://www.oreilly.com/openbook/ Also the PDF has a link to a notorious ebook pirate platform on every page. If you really believe content on college pages is legal, you must be very naive. I've never seen a naive webmaster that uses domain privacy though.

Personally I wasn't surprised to see (possibly) pirated content on an .edu site with a ~username URL, as the ~ suggested a student's page, where unauthorised content might pop up to share with classmates and stay up undetected by the college.

What surprised me is that the owner of the Canisius page appears to be teaching staff rather than a student. The other books hosted there seem to be legitimately freely available, however, so I'm guessing that was also a naive mistake.

Re: Free Data Science Books

#54
post #38

Is anybody aware of good books/resources on machine learning/data science in Matlab? My SO has been trying to learn ML to further her work for a couple months now, and has had a hard time with it. She quite intelligent, but isn't a terribly experienced programmer (she's been writing Matlab for a couple years now, but mostly in a scientific setting)... Either way, I suspect part of the problem is that most of the expl…

I would recommend this fantastic in-depth intro to the principles and practice of Amazon Machine Learning:

https://cloudacademy.com/amazon-web-services/courses/amazon-...

(Hand-crafted by data and code guru James Counts)

Re: Free Data Science Books

#55

Why are you hijacking my scroll speed... Your "smooth-scroll" library is completely breaking my touchpad scroll with an Acer c720 Chromebook. One slight movement (which should be a few pixels scroll) is moving me over half-way down the screen. Makes your site unusable with this touchpad as accidental scrolling sometimes happens and moves the screen a whole page away, especially when trying to right click open links b…

Sorry to all affected by the smooth scroll. It's been removed.

Re: Free Data Science Books

#58

Although, there is no denying that this is a valuable resource but I have started to get turned off by a list of n books to learn something - they can be valuable but it is undeniable that they can also be overwhelming and perplex someone about how to get started. I believe technical books should be used to complement your knowledge of the field not to get started in it. For eg, "Secrets of the JavaScript Ninja" will…

Second the dataquest post. Information without structure can be overwhelming, and its important to know what the optimal ways to learn something are. Arguably this is why formal schooling was created - to provide a framework for learning...

Re: Free Data Science Books

#59

I noticed something last night while watching the Djokovic US Open quarter-final. It featured an "IBM Insights" segment which claimed to have mined 8 years worth of Majors competitions to generate stats. And one interesting result it was able to produce went something like this: if Djokovic is able to return only 25% of his opponents serves, then in 85% of past matches it has resulted in victory for him. The implicat…

The insight was related to winning first-service points when returning serve. This tweet has a screenshot of the association: https://twitter.com/lapsu/status/620223838895407104

This isn't too far from the logic: "How can we win this game? Score more points than the other team". I suppose the more interesting thing would be to compare the same correlation across players.

Re: Free Data Science Books

#60

I noticed something last night while watching the Djokovic US Open quarter-final. It featured an "IBM Insights" segment which claimed to have mined 8 years worth of Majors competitions to generate stats. And one interesting result it was able to produce went something like this: if Djokovic is able to return only 25% of his opponents serves, then in 85% of past matches it has resulted in victory for him. The implicat…

I agree that the stats don't provide insight regarding game play and strategy. IBM has been providing the same weak stats for years now. I would like to see tennis incorporate the hawk-eye system tracking player movement and shot placement as well. Perhaps that could produce a heat map. On that note they can also eliminate the line judges while we're at it. The whole challenge system is idiotic. They have the tech, they should incorporate it throughout the sport.
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