More articles in Intermediate

Introduction to Flair for NLP: A Simple yet Powerful State-of-the-Art NLP Library

Introduction to a simple yet amazing NLP library called Flair. See how it works and get the code to implement it in Python yourself!

Top 5 Data Science GitHub Repositories and Reddit Discussions (January 2019)

The top 5 data science GitHub repositories and Reddit discussions from January 2019. It includes links to awesome NLP and computer vision libraries.

Introduction to StanfordNLP: An Incredible State-of-the-Art NLP Library for 53 Languages (with Python code)

StanfordNLP is a collection of pre-trained state-of-the-art models. This tutorial is an introduction to Stanford NLP in Python and its implementation.

How Coursera uses Data Visualization and Clustering to Categorize Content

In this article, Coursera's engineering team explains how they categorize their content (courses) using data visualization and clustering.

DataHack Radio #16: Kaggle Grandmaster SRK’s Journey and Advice for Data Science Competitions

Who better to learn data science tips and tricks from than a Kaggle grandmaster? Join SRK as he provides invaluable advice for all data scientists!

Monte Carlo Tree Search: The Game-Changing Algorithm behind DeepMind’s AlphaGo

Explore Game AI: Dive into AlphaGo, tree search algorithms, and Monte Carlo Tree Search (MCTS) for a deeper understanding of AI in gaming.

Get Started with PyTorch – Learn How to Build Quick & Accurate Neural Networks (with 4 Case Studies!)

An introduction to pytorch and pytorch build neural networks. Get started with pytorch, how it works and learn how to build a neural network.

DataHack Radio #15: Exploring the Applications & Potential of Reinforcement Learning with Xander Steenbrugge

A Comprehensive Tutorial to learn Convolutional Neural Networks from Scratch (deeplearning.ai Course #4)

Explore convolutional neural networks in this course. Learn foundational concepts, advanced models, and applications like face recognition.

A Technical Overview of AI & ML (NLP, Computer Vision, Reinforcement Learning) in 2018 & Trends for 2019

From Google's BERT to Facebook's PyTorch, 2018 was a HUGE year in ML. Find out what else made the news and what to look forward to in the new year!