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Sayak Paul

Sayak Paul

Data Science Educator | Intel Software Innovator | GDE in ML

📍 Kolkata, India
https://www.sayak.dev/ https://twitter.com/RisingSayak
Training Neural Nets: a Hacker’s Perspective
Deep Learning

Training Neural Nets: a Hacker’s Perspective

This deep dive is all about neural networks - training them using best practices, debugging them and maximizing their performance using cutting edge research.

  • Sayak Paul
Sayak Paul Sep 20, 2019 • 26 min read
Becoming One With the Data
Deep Learning

Becoming One With the Data

This article discusses effective ways of handling the data in machine learning projects.

  • Sayak Paul
Sayak Paul Jul 20, 2019 • 29 min read
How to plan and execute your ML and DL projects
Deep Learning

How to plan and execute your ML and DL projects

This article gives the readers a checklist to structure their machine learning (applies to deep ones too) projects in effective ways.

  • Sayak Paul
Sayak Paul Jul 5, 2019 • 18 min read
An introduction to Q-Learning: Reinforcement Learning
Reinforcement Learning

An introduction to Q-Learning: Reinforcement Learning

Learn about the basic concepts of reinforcement learning and implement a simple RL algorithm called Q-Learning.

  • Sayak Paul
Sayak Paul May 15, 2019 • 27 min read
Introduction to K-Means Clustering in Python with scikit-learn

Introduction to K-Means Clustering in Python with scikit-learn

In this article, get a gentle introduction to the world of unsupervised learning and see the mechanics behind the old faithful K-Means algorithm.

  • Sayak Paul
Sayak Paul Apr 26, 2019 • 20 min read
Introduction to Anomaly Detection in Python
Machine Learning

Introduction to Anomaly Detection in Python

Learn what anomalies are and several approaches to detect them along with a case study.

  • Sayak Paul
Sayak Paul Apr 5, 2019 • 24 min read
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