Since I'm in a quiz frame of mind these days, I've created yet another quiz video, which is now available on the O'Reilly platform. Namely, this quiz on Machine Learning vid explores a few key aspects of the subject, such as supervised, unsupervised and reinforcement learning, as well as the main model types and the hyper-parameters involved. Designed to be as inclusive as possible, this is a video that can benefit both the beginner to this topic and the more seasoned machine learning professional. Enjoy!
Note that O'Reilly is a subscription based platform (formerly known as Safari). So, in order to view this or any other video in its entirety, you'll need to have an account there. Definitely a worthwhile investment, if you ask me, particularly if you are a data science professional. I don't receive any benefits from saying this, btw, since I work with a different publisher (Technics Publications), who contributes these videos to this platform.
Just like week, during a business trip to London, I started working on this video, on my spare time, and now it's already online! In this 40 minute video, comprising of 3 clips, I explore the topic of Optimization, through a series of questions spanning across 5 categories. Whether you are an aspiring A.I. expert or a data scientist, you can learn a lot of useful things from this test of sorts and with the right mindset, even enjoy the whole process! You can find it on the O'Reilly platform, where you need to have an account (even a trial one will do) to watch it in its entirety. Cheers!
Being an expert in this topic since my PhD, I decided to create a video about it. The topic is a bit niche but it's very practical and useful in various data science tasks, particularly data engineering. Check out the video on O'Reilly and feel free to give me any feedback on it, especially regarding the I.D. metric once you look into it. Note that you will need an account on the O'Reilly platform in order to view the video (and any other material) in its entirety. However, considering the quality of the stuff there and the diversity of the content, it is a worthwhile investment. Also, you can have a free trial for 10 days to check it out, before you make a decision about it. Cheers!
Lately I created a video on Spark, its APIs, and how all this is useful as a data science tool. You can find it here though in order to watch it in its entirety, you need to have an account on O'Reilly (formerly known as Safari).
I understand that many of you came to this website today to check my weekly article on Data Science / A.I. and this announcement may be underwhelming. However, it is something that take precedence over any article, since my published work is more worthwhile to follow than the articles I write on this or any other blog. The former go through a certain editing process and are then published by a reputable 3rd party, while the latter are there just to offer a fresh perspective on various data science matters that I consider worth pondering about. Whatever the case, I am going to write an article this week, though it may be live later on, as I have other things going on these days. Thank you for your understanding!
If you are like most technical people, delivering a presentation can be a stressful and challenging experience. Just the thought of having to talk in front of other people, particular those who have a say in your career development, can be daunting. However, with some planning and preparation, giving a presentation can be straight-forward and even enjoyable. Check out this video I've made recently to learn more about this topic and hopefully expand your view on what a data science presentation is all about!
Note that Safari, or O'Reilly Learning as it's lately called, is a paid platform that requires a subscription in order to view the various material it contains in full. Yet, with a valid account (even a temporary one), you can view not only this but a variety of other videos, as well as a range of technical books, including some of my own.
It's quite enjoyable and insightful to learn about A.I., particularly NLP, as well as other data science related topics. However, with so vast a knowledge-base related to this topic, it's equally easy to forget a lot of what you learn. Enter this quiz that can help you recap the most important points of Natural Language Processing in a fun way, without the stress the often accompanies quizzes in educational institutes, for example. This is an experimental kind of video so it may still need some refinement, something I'm going to look into in the near future. In the meantime, you can check out this quiz video on NLP here. Enjoy!
Note that this video is published on the Safari platform, O'Reilly's online library of sorts, where various publishers can exhibit their creations in digital format. In order to take full advantage of this, however, you'll need to have an account since it's a subscription-based site.
If you wish to put yourself out there as a content creator, now more than ever, videos are a great way to do it. This may seem somewhat daunting to some, but with the plethora of software options out there and the ease of use of many of them, it’s just a matter of making your resolve to do it. Apart from the obvious benefit of personal branding, creating a data science or A.I. video can also be lucrative as an endeavor.
I’m not referring to the amateur videos many people on YouTube make, in their vain attempts to gather likes and shares, much like beggars gather pitiful coins from the passers-by. If you want to create a technical video that will be worth your while, there are better and more self-respecting options to do so, options that you would be happy to include in your resume/CV. Namely, you can create a video that you promote through a respectable publisher, such as Technics Publications. Such an alternative will enable you to receive royalties every 6 months and not have to worry about promoting your work all by yourself. Of course, there is also the option of a one-time payment that some publishers offer, but this isn’t nearly as appealing since the amount of money you can potentially earn through royalties is higher and the requirements are easier to meet.
When creating a video, many people think that it’s just you standing in front of a camera and talking adlib about a topic, perhaps using some props like a whiteboard. Although that’s one straightforward way to do it, it may not appeal to the less charismatic presenters or those who don’t consider themselves particularly photogenic. Besides, have a screen-share video or a slideshow with voice-over, always based on a script, is much easier to produce and sometimes more effective at illustrating the points you wish to make. Alternatively, you can try combining both approaches, though this may require more takes.
Whatever the case, making a video is the easy part of the whole project, relatively speaking. What ensues this is what is the most challenging task for most people: promoting the video to your target audience. Although social media have an important role to play in all this, having some support from a publisher is priceless. After all, promoting technical content is what publishers are really good at, especially if they have a good niche in the market. Still, if you have a large enough network, it doesn’t hurt to spread the word yourself too, for additional exposure, though you are not required to do so.
If you are interested in covering a data science or A.I. related topic with a video, through a publisher, feel free to contact me directly, as I’d be happy to help you in that, particularly if you are serious about it. The world could definitely use some new content out there for data science and A.I. since there is way too much noise, confounding those who wish to study these fields. Perhaps this new content could come from you.
When I created this heuristic about a year and a half ago, I wasn't planning to make a video about it. However, after exploring its various benefits, I felt this should become more well-known to data science and A.I. practitioners. So, after a series of experiments and some extra research, I've made this video demonstrating the various aspects of this intriguing heuristic metric. Check it out whenever you have the chance!
Please note that Safari Books Online (O'Reilly) is a paid platform for quality content, so you need to have a subscription to it in order to view this and any other video in their entirety. However, it's a worthy investment that every data science and A.I. learner ought to consider making.
Before starting the new data science book, I made one video on a very fascinating topic that I've delved in for a while now: Cryptanalysis. Although I'm not a hacker, I've researched this topic sufficiently and even broke a few ciphers myself over the years. This video (available on Safari/O'Reilly) is a gentle introduction to the topic and ties very well with my other Cybersecurity videos. Check it out when you have the chance!
Note that in order to view the video in its entirety, you'll need an account (e.g. through a subscription). If you are an employee of a tech company, you may have full access to the Safari platform already. The latter is a useful resource for both videos and books, all of which you can access through a mobile device too.
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!
Zacharias Voulgaris, PhD
Passionate data scientist with a foxy approach to technology, particularly related to A.I.