From Text to Meaning: How Computers Understand Language

From translating languages to driving advanced models like pre-trained transformers, learn how computers decode and derive context from our language.

Understanding Word Embeddings: The Building Blocks of NLP and GPTs

Word embeddings are an integral part of natural language processing (NLP) and Generative Pre-trained Transformers (GPT). Let's look at how they work.

TensorFlow 101: Basics for Beginners

TensorFlow is used in a variety of applications, from image and speech recognition to natural language processing and robotics

A Complete Guide To Regular Expressions

Regular expression is a powerful tool that helps extract data from text including documents, system logs, and code. In this article, we will look at working with regular expressions in detail.

PanDas in Depth— Building Flexible DataFrames

Pandas is a Python package that helps you to easily work with large datasets while building a machine learning model.

Numpy Crash Course — Building Powerful n-Dimensional Arrays with NumPy

Numpy is a python library for performing large scale numerical computations. It is extremely useful, especially in machine learning. Let's look at what Numpy has to offer.

TinyML — How To Build Intelligent IoT Devices with Tensorflow Lite

Intelligent IoT devices are all around us. In this article, we will see how you can combine machine learning and embedded systems to build intelligent IoT devices.

Machine Learning For Managers — What You Need To Know

Are you managing a tech team as a product/project manager? Here is what you need to know about machine learning.

A Beginner’s Guide To Natural Language Processing

Natural Language Processing (NLP) is the branch of machine learning that helps computers interpret natural human language.