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!
As you may know already, one of the world's top data modeling conferences, Data Modeling Zone (DMZ), is taking place this November in Stuttgart. This is an international conference for all sorts of data professionals, not just data architects, plus it has an impressive bookstore. As I'll be participating in this conference as a speaker, I get to give away discounts and such. So, if you plan to register for the conference, you can use my last name (8 characters) to claim a 15% discount. With this kind of money, you can treat yourself to a tour to the lovely German countryside and still have some money left to buy a book or two from the aforementioned bookstore!
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.
Recently I came across this interesting platform for sharing curated content, called Wakelet. It's also a British startup from Manchester, by the way, one that appears quite promising, given that they find a way to monetize their project.
Anyway, the platform is a bit like Pinterest but with more features and an offline presence too. These are the most important features, in my view:
* Very intuitive and fast to learn
* Can work with a variety of content types: videos, images, formatted text, PDFs, and website links
* Every list can be exported to a PDF
* Free to use
* No account is required to view the lists
* Lots of free images to use as thumbnails and backgrounds
* QR code is generated for each list you wish to share
* Private lists are also an option
* Plenty of tutorials online that explain the various features and use-cases
You can check out a wake (that's how these curated lists are called) that I've made in the space of a few minutes, here. In the future I'll probably be using it more, particularly on this blog. Whatever the case, do let me know what you think of this platform and of my wake. Cheers!
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.
Zacharias Voulgaris, PhD
Passionate data scientist with a foxy approach to technology, particularly related to A.I.