Building a Decision Tree From Scratch
Decision tree is one of the major data structures of statistical learning. Their functioning is based on heuristics, which, while satisfying intuition, give remarkable...
Maximum Likelihood Estimation
Maximum Likelihood Estimation often called as MLE, is used for estimating the parameters of a statistical model when certain observations are given. Before we start...
Convolutional Neural Networks with Keras
In the previous post, we scratched at the basics of Deep Learning where we discussed Deep Neural Networks with Keras. As a code along...
GEN: The New AI Programming Language Released by MIT
The Paradigm of Probabilistic Programming
The paradigm of probabilistic programming has witnessed big developments in the last few years. From being seen as a quiet...
ChatGPT Limitations That You Must Know
OpenAI developed an AI chatbot known as ChatGPT that uses NLP (Natural Language Processing) to develop humanoid conversational dialogues. It answers a broad range...
Changes In Robotics During Pandemic
COVID-19 pandemic had caused an immense ripple effect that forced individuals and companies across the globe to rapidly pick up cashless payments, contactless systems...
Beginner’s Guide to Kaggle Kernels
Kaggle has been quite a popular platform to showcase your skills and submit your algorithms in the form of kernels. This was more than...
Introduction to Robot Security Framework
Robots have gained a lot of importance and relevance in society with the implementation of Artificial Intelligence. Robots are increasingly performing security framework. Robot...
AI & Big Data for eCommerce, Retail and Energy Industry
With innovations in disruptive technologies such as artificial intelligence and machine learning, essentially every industry continues to revolutionize at a fanatical pace. And those...
How Robots Will Affect Future Generations
Introduction
What will the future of robots look like? Are they actually going to affect our lives? These are some of the questions to which...