After noticing a subtle but clear gap in the data science education of today, and after discussing this matter with a couple of my associates, I decided that a new data science book would be in order. So, after some negotiations and refinements of this idea, over the space of 3 months, we are now ready to initiate this publication project. So, once the paperwork is done, I'll be working on a new title, one that would appeal to a large audience of data science related professionals. We expect the first draft to be ready by the beginning of summer, and if all goes well, the book should be available for purchase by early autumn.
A big thanks to my publisher Technics Publications and to all of you, particularly those buying my books and watching the videos of mine that are made available on Safari. Cheers!
Happy holidays everyone! I hope you have a chance to relax, recuperate, and rejuvenate this holiday period :-) See you in 2019 with new, insightful, and fox-like blog posts!
Lately I worked on a more ambitious topic for a data science video. Graph Analytics, aka Network Analytics, is one of the more niche aspects of our craft and although I've been using it for many years, creating a video on the topic has always been daunting due to the amount of material it has. However, I managed to create a fairly succinct clip (a bit less than half an hour long) and put it out there through my publisher. You can find it on the Safari portal.
Note that you will need a subscription to Safari in order to view it in its entirety. Also, a subscription to this educational platform enables you to have access to a bunch of different material, including all of my books. Cheers!
(Image by lazyprogrammer.me)
PCA has attracted a lot of questions among all of my mentees over the years, so I decided to make a fairly in-depth video on the topic. Unlike other education material on PCA, this one is light on the math, while there is a lot of emphasis on the concepts as well as how they apply to a data scientist's work. You can check out the video on Safari here.
Note that in order to view the video in its entirety you'll need a subscription to the Safari platform. Cheers!
About 2 years ago I created a video on the Julia language and how it applies to data science. Although I was still learning the ropes of video creation, I had a lot of useful things to say about the language since I had just published a book on it, a book that is still quite popular among the Julia learners as well as those getting into data science through programming. Now, after version 1.0 has come out, I decided to revisit this topic and provide an update about how Julia factors in the whole data science matter, as well as how it contributes to A.I. applications among other relevant topics. In this video, I explore all these points and without getting too technical, I showcase an updated view of how Julia is still a relevant tool when it comes to data science projects. Enjoy!
Note that you'll need a subscription in order to be able to view this video on the Safari platform. However, once you have paid for it (either for a month or a year), you'll have access to all the content published in there, including all my other videos and books. Cheers!
For all of you celebrating Thanksgiving, happy Thanksgiving! I don't need to tell you about the importance of being grateful about the good stuff we've good going on in our lives. However, I can do need to tell you is that I'm grateful for all of you visiting my blog and checking out the content I'm developing for Data Science, Artificial Intelligence, Cyber-security, and even Programming (to a lesser extent), in an effort to clarify certain matters and inspire you to learn things in a more in-depth and more enjoyable way. Also, grateful for being in this fascinating field and watching it evolve into something useful and self-sufficient. What are you grateful for?
Enjoy this great family holiday with your loved ones, and if you have some time, check out some of my videos / books!
So, after attending this truly eye-opening conference in Amsterdam last month, I felt obliged to share at least some of the stuff (most relevant to data science) I got from it with other people, through a reliable content sharing platform. So, I wrote an article about this topic on beBee and then created a video which is now available on Safari.
Note that this is a bit high-level as a video, with emphasis on managerial and senior-level data science practices, rather than hands-on aspects of the craft. However, every data scientist can benefit from this knowledge, especially when dealing with sensitive data. Also, Safari content requires a subscription in order to be accessible to its full length.
Although the debate between Frequentist and Bayesian statisticians sometimes takes a more comical turn (XKCD strip), it is still important for a data scientist to know a few things about Bayesian Stats. Of course, purists of the craft will argue that Frequentist Stats will suffice but if you want to stand out of the crowd, it would definitely help going beyond the beaten path, when it comes to data analytics know-how.
This video I made recently highlights the key elements of Bayesian Stats, focusing on the concepts that although fairly straight-forward, may be obscure to the newcomer. Also, without disregarding the invaluable contribution of Frequentist Stats to data science, this video explores how the two differ and how Bayesian Stats has a lot in common with other, more modern, data analytics frameworks. Check it out when you get the chance!
Note that a subscription to the Safari platform is necessary in order to view the video in its entirety.
This week I'm away, as I prepare for my talk at the Consumer Identity World EU 2018 conference in Amsterdam (the same conference takes place in a couple of other places, but I'll be attending just the one in Europe). So, if you are in the Dutch capital, feel free to check it out. More information on my talk here. Cheers!
I've been writing a lot about A.I. lately and AGI has been a recurring topic lately. Although the possibility of this technology becoming a reality is still a bit futuristic, we can still ponder on the possibility and explore how such an A.I. system would affect us. Hence this fiction book I wrote in the past few months and published this week on Amazon (Kindle version only). Feel free to check it out when you have a minute.
The book is dedicated to researchers of A.I. Safety.
Zacharias Voulgaris, PhD
Passionate data scientist with a foxy approach to technology, particularly related to A.I.