chapter5 · Programming Collective Intelligence (code) By Toby Segaran. Copyrigh 6 years ago. chapter6 · example from the summary chapter, 6 years ago. Programming Collective Intelligence is a book by Toby Segaran and published by O’Reilly Media in August, It covers the use of data-mining and machine . Programming Collective. Intelligence. Building Smart Web Applications. Toby Segaran. Beijing • Cambridge • Farnham • Köln • Paris • Sebastopol • Taipei •.
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Programming Collective Intelligence: Building Smart Web 2.0 Applications
The book was written inbut is not dated. While I haven’t used math much in my day jobs, I liked and was good at it in high school, including taking extra classes – so I have learned basic statistics. Template from James Yu’s Jekyll template This is a personal weblog. That aside, I would have purchased this book this year anyway, and would have reviewed it on this blog too.
Programming Collective Intelligence – Wikipedia
The book is really inspiring, which is great for an introductory book! About Me I’m a software developer and outdoors enthusiast among other things. Also, the Python language has come a long way since 2.
What do you think? The book claims that you don’t need previous Python knowledge to understand the code samples, which I can’t confirm I use Python at my day jobbut I wouldn’t be surprised if not knowing Python could make understanding the code even more difficult I’ve actually learned a few new language features from the samples! While understanding of the previous chunks is required for the later ones, this allowed me to read through most of the book on the train to and from work.
Nonetheless, it is great to have actual code to play intelliggence, just the initial reading and reviewing of it requires some extra effort.
Some code samples are actually incorrect implementations of colleective given algorithm and there are antipatterns like string sql concatenation in the code without a warning comment to the reader to remind them it’s a bad practice. The hosting provider likely records operational data.
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First, the foundations of any topic tend to be timeless, and the most recent algorithm the book describes was published in In addition to the well written, gradual introduction, the book has a concise algorithm reference at the end, so when one needs a quick refresher, there is no need to wade through the lengthy tutorials.
Posted on March 01, at Each of the algorithms is illustrated with real world application examples, and examples where applying them doesn’t make sense are brought too.
The opinions expressed here are my own and not necessarily reflect those of my – current or former – employers’. The exercises at the end of the chapters are applied and not purely intelligencce – and coming up with exercises from the domain I work with every day was pretty easy!
Intelliigence explanations are broken up into digestible chunks, and are supported by great visualizations. The book introduces lots of algorithms that can be used to gain new insight into any kind of data one might come across. Refreshing and advancing my data analytics skills is one of my goals this year, and reading this book was part of the plan.