The Multi-Faceted Journey of Determining ML Model Success Criteria In the world of Machine Learning (ML), defining the success criteria for your models is a crucial but often complex task. Many people tend [...]
AI - Past, Present, and Future AI has gone through many cycles of ups and downs. There has been stunning progress as well as a disappointing slump. Fueled by Machine Learning and specifically, [...]
There are two main kinds of problems in Reinforcement Learning (RL), evaluation of a policy aka the prediction problem and finding the best policy aka the control problem. A policy dictates the action to be taken given [...]
OpenCV OpenCV is the huge open-source library for the computer vision, machine learning, and image processing and now it plays a major role in real-time operation which is very important in today’s systems. By [...]
Generative Adversarial Network (GAN) A generative adversarial network (GAN) is a machine learning (ML) model in which two neural networks compete with each other to become more accurate in their predictions. GANs typically run [...]
Feature selection is the process of selection a subset of features most relevant from a given set of features for a supervised machine learning problem. There are many techniques for feature selection. in this post we will use [...]
Deep Learning model architecture aligns with a specific structure of the data e.g RNN or LSTM for linear data like text, CNN for grid data like image. The structure of the data in these [...]
Originally Posted Here Amazon Redshift ML Is Now Generally Available – Use SQL to Create Machine Learning Models and Make Predictions from Your Data [...]
Originally Posted Here Language models like GPT-3 could herald a new type of search engine The way we search online hasn’t changed in decades. A new idea [...]
Credit Risk Modeling Using Machine Learning Approach (Part 1) In this post, we will demonstrate a machine learning approach for modeling credit risk in the peer-to-peer (P2P) lending domain. This is a two-part [...]
