Tarek Amr

Unleash Your Machine Learning Potential with my Book!

Why you need to learn machine learning from a book?

📖 Why learn machine learning from a book? To escape tutorial hell and build real skills with a clear path.

My book “Hands-On Machine Learning with Scikit-Learn and Scientific Python Toolkits” offers a practical, easy-to-follow path into data science, focusing on real business use cases and clear examples.

📬 Order now to supercharge your machine learning journey and unlock exciting opportunities!

Order my book: Practical D3

👉 This is your guide to mastering the efficient use of D3.js in professional-standard data visualization projects.

This book teaches data visualization with D3.js: what it is, how to prepare data, and how to design effective charts. It targets front-end developers and data journalists with basic HTML/CSS/JavaScript.

📖 I co-authored this book with Rayna Stamboliyska. Order it from any of the following links

Bayesian AB-Tests

🔮 Throughout the course of your career, you may need to quantify the effect of changes you make to a product or service. These change can be the introduction of a new design to a website, the creation of a new medicine, or even choosing one football player to take a penalty kick for your team over another in the World Cup final.

🎲 Traditionally, the frequentist approach prevails. However, the Bayesian approach is more intuitive and easy to explain to your stakeholders.

In this article I wrote about the Bayesian hypothesis testing approach.

URL-Based Web Page Classification using Language Models (MSc. Dissertation)

In today's world, millions of web links are shared daily through emails and social media websites. Therefore, it is crucial to have an efficient and reliable method to classify web pages based on their URLs without the necessity of visiting the actual page.

🕸 For instance, social media platforms may require a swift identification of status updates containing links to malicious websites for immediate blocking. Furthermore, classification results can be utilized in marketing research to anticipate users' preferences and interests.

🎓 Thus, the target of this research is to be able to classify web pages using their URLs only.

Quick Introduction to Reinforcement Learning

Reinforcement Learning (RL) is not as commonly used as Supervised Machine Learning. Yet, it is important to know its basics and have it as a part of your own ML toolkit

🎥 These slides have a quick introduction to RL using the Exploding Kittens Card Game.

Behavioural Economics

After reading Richard Thaler's book, Misbehaving, I decided to summarise it. This also serves as my very quick introduction to Behavioural Economics

🎥 This slide deck have a quick introduction Behavioural Economics and its concepts

About Me

🐍 I am a data scientist and machine learning engineer with 10+ years of experience building data products and decision systems.

🎓 After finishing my postgraduate degree at 🇬🇧 the University of East Anglia (UEA), I worked across startups and scale-ups in 🇪🇬 Egypt and 🇳🇱 the Netherlands.

🐾 Before that, I worked as an information security consultant and a presales manager, and I volunteered with Global Voices Online (GVO) and the Open Knowledge Foundation (OKFN). That mix pulled me toward the intersection of computer science, business strategy, and writing.

🔥 In a nutshell, I like to go deep while staying curious across disciplines.