In this article, we will go through what is PDP and how we can use it to explain the Machine Learning Algorithms If you hate theory and want to play with the code here is Google Colab for you. For others who are interested in how Partial Dependence Plot works…

Seldon a platform for packaging and deploying machine learning models This blog will talk about the overview of an MLOps tool Seldon and why one should know about Seldon and what are the benefits of using Seldon. Why should you know about Seldon? The biggest problem in the industry is…

Shapely Values — explained in simplest terms — Introduction With increase debate on accuracy and explainability, the SHAP (SHapley Additive exPlanations) provides the game-theoretic approach to explain the output of any ML model. SHAP was introduced in the research paper A Unified Approach to Interpreting Model Predictions by Scott M. Lundberg and Su-In Lee in 2017. If you hate…

Microsoft Vision ResNet 50, transfer learning to classify fruit-360 data with 98% Accuracy Introduction In this blog, I will be going through the Microsoft Vision model, how to achieve the transfer learning using that, and finally will move into implementation of the Microsoft Vision model for classifying fruit-360 with 98% test…

Multi-Arm Bandits is used by many companies like Stitchfix, Netflix, Microsoft, and other big companies for recommendations. There are tons of research going on the Multi-Arm Bandits and their application to real-time problems. This article is an attempt to apply Multi-Arm bandits. What is a Multi-Arm Bandit? If you are visiting the casino for the…

One of the most intresting fields of AI is Reinforcement learning, which came into popularity in 2016 when the computer AlphaGO into the light. AlphaGo is the first computer program to defeat a professional human Go player Leo Sedol. Before going to Trading let's define some…

About EC2 Amazon EC2(Elastic Compute Cloud) provides secure, resizable compute capacity in the cloud, eliminating the need to invest in hardware. Provides on-demand, scalable compute capacity in the AWS Cloud Compute Instances are known as EC2 instances Allows various configurations of CPU, memory, storage and networking capabilities Instances can be launched in…

GPU-quickened CUDA libraries empower the speeding up over numerous spaces such as linear algebra, image and video processing and deep learning. Aim of this article is to provide easy steps to install CUDA and get it up and running for the project and other applications Requirements for CUDA are …

Requirements Basic python Installation requirements — FastAPI and Uvicorn pip install fastapi pip install uvicorn Snowflake Account