Although I really enjoy Julia and other new programming languages, I also use Python, SQL, etc. for various projects. Beyond that, I tend to mentor students in these more conventional languages, as it's part of their curriculum. Learning these languages, however, often comes at a cost and if someone has already shelled thousands of dollars in a course, it's doubtful they would be willing to spend more to go deeper on these subjects.

Fortunately, AIgents has you covered. This Data Science and AI platform for practitioners and learners in these fields recently launched a learning branch on its website, featuring a selection of useful resources for learning these technologies (these live on various sites, which you can find on your own but AIgents saves you time by do this tedious task for you and curating them to some extent). The best part is that all of these resources are free while there is also a community this platform has, to facilitate further such initiatives. You can check it out here. Cheers!
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Remember all those videos I used to make for Safari / O'Reily's Learning platform? Well, most of them are now gone but the best ones (according to the publisher) are still available for you, in a pay-per-view mode. Learn more about them through this 1-minute video I made about them. It's just six of them at the moment, but I may get more of them out there in the months to come. Cheers

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). At least the book is available to buy at the publisher's website, in print format, PDF format, or a bundle of both. 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). 

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. Its topic is one that I've been very passionate about for many years and continue to delve into even today. 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. Also, the concepts covered in it are applicable in any programming language used in data science and A.I.

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). I hope to see you then!

Update: I've made a short video about this, which I encourage you to share with anyone who might be interested: ​​https://share.vidyard.com/watch/d58yZn9Y1cnWq6rQAsrotq?