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The topics of Pebble U cover data science (particularly machine learning and A.I., though there are some Stats related videos too), Programming (particularly Python), and Business, among other categories.
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The whole platform is also available as an app for both Android and iOS devices. As for the videos, many of them are accompanied by quizzes to embed your understanding of the topic covered. You can, for example, make notes and highlight parts and add bookmarks, on the books you read. Pebble U has a unique selection of features that are very useful when consuming technical content. On the bright side, it doesn't have any vexing ads! Additionally, you can request a short trial of it, for some of the available material, before you subscribe to it.
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The site is subscription-based, while it requires a registration for watching the videos and any other material available on it (aka pebbles). Namely, Pebble U (short for Pebble University) made its debut as a way to provide high-quality knowledge and know-how on various data-related topics. Recently a new educational video platform was launched on the web.
I'll keep you posted through this blog regarding updates on the book. Hopefully, I'll be able to focus more on other projects now.
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So, at least, I didn't get bored, plus I was a bit imaginative with a couple of the problems I tackled in the code notebooks.Īlthough it's a bit soon to tell when the book will be out, at least the most time-consuming part is behind me now. This book project involved both text, images, and code (in the form of a new type of code notebook, for Julia). So, I reached out to my publisher, sent him a proposal with an outline of the book, and before long, I was good to go!ĭuring these months I had been writing regularly (pretty much daily, at least on weekdays), with just a couple of weeks off, one for the Christmas holidays and one for the preparation of my podcast. Of course, I could have just shared some code or perhaps put together some article, but the idea deserved more. I didn't have to, but the idea was burning me, and as I had been working on a particular data science topic the previous months, I felt it deserved to be shared with a larger audience. Update: I've made a short video about this, which I encourage you to share with anyone who might be interested: Ībout five months ago, I started writing a new technical book. If you want to learn more about the book, feel free to attend the (free) event on Friday, September 9th at 10 am ET (register through this link). Also, the concepts covered in it are applicable in any programming language used in data science and A.I. Even though the book is very hands-on, accompanied by code notebooks (or codebooks as I often call them), you can read it without getting into the code aspects of it. Its topic is one that I've been very passionate about for many years and continue to delve into even today. I put a lot of work into this book because it's probably going to be my last (technical) book, at least for the foreseeable future.
If you have been paying attention through this blog, you may be aware that you can get it with a 20% discount if you use a certain 4-letter code, when buying it from the publisher (hint: the code it DSML).
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At least the book is available to buy at the publisher's website, in print format, PDF format, or a bundle of both. It's been about 7.5 months since I signed the contract for this book and now it's already on the bookshelves (so to speak).
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