The deep dive into the world of model assessment metrics that you didn’t know you needed to know — until now
The code used to generate the graphs and the KS Area Between Curves computation in this post is available as part of the dython library
Here’s a classic scenario you probably ran into as a Data Scientist — you need to train a binary classifier, say a simple logistic regression…
“We can’t be consumed by our petty differences anymore. We will be united in our common interests”
One of my favorite movies as a kid was Independence Day (here in Israel it was known as The Third Day, as it takes place on July 4th, and, well, most of the world doesn’t celebrate independency on that day). Briefly, it tells the story of an alien invasion to…
Breaking down my reading list of what’s new in the AI world
The field of Machine Learning and Artificial Intelligence is changing rapidly. Five years ago, classical Machine Learning was the hottest trend; now it’s just like an iPhone 6S — outdated. …
Answering frequently asked questions by junior data scientists and data scientists-to-be about first steps towards a DS career
In case you missed it, there’s a pandemic out there, and it forces all of us to shut down all public events. As time goes by, we all begin to understand the impact of the lockdowns, social distancing and absence of gatherings. …
Make your awesome code conveniently available to the world, because you’re awesome too
This blogpost is now available in Polish too, read it on BulldogJob.pl
About two years ago I published my very first data-science related blogpost. It was about Categorical Correlations, and I honestly thought no-one will find it useful. It was just experimental, and for myself. 1.7K …
Learn how to use ROC curves and AUC scores for more than just saying “I think this model performs well”
The ROC graphs generating code used in this post is available as part of the dython library, which can be found on my GitHub page. Examples seen in this post are also available as a notebook.
Assessing the predictions of any machine-learning model is probably the most important task of…
Taking another step towards truly understanding the basics of Reinforcement Learning
Implementations of all algorithms discussed in this blogpost can be found on my GitHub page.
The Qrash Course Series:
- Part 1: Introduction to Reinforcement Learning and Q-Learning
- Part 2: Policy Gradients and Actor-Critic
The previous — and first — Qrash Course post took us from knowing pretty much nothing about…
How to perform valuable exploration for brand new items with nothing more than a simple trick on our items’ embeddings
This blog post was originally published on Taboola’s Engineering Blog.
Our core business at Taboola is to provide the surfers-of-the-web with personalized content recommendations wherever they might surf. We do so using state of the art Deep Learning methods, which learn what to display to each user from our growing…
When interview-like challenges attack in real life, we save the day with math!
This blog post was originally published on Taboola’s Engineering Blog.
If you happen to write code for a living, there’s a pretty good chance you’ve found yourself explaining another interviewer again how to reverse a linked list or how to tell if a string contains only digits. Usually, the necessity…
How I made my Reinforcement Learning agent perform better by making it stop going naively after the highest reward
The Tic-Tac-Toe game described in this post, as well as all algorithms and pre-trained models can be found on the tic_tac_toe repository on my GitHub page.
When I’m being asked to describe what fascinates me so much about Reinforcement Learning, I usually explain that I see it as if I…
Shaked Zychlinski
Research Team Lead at Lightricks. Previously Algorithm Engineer at Taboola & Data Engineer at Appsflyer. Lives in Tel Aviv, Israel. See me on shakedzy.xyz
