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.
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 of the important terms…
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 …
FastAPI Introduction
FastAPI is a modern, fast (high-performance), a web framework for building APIs with Python 3.6+ based on standard Python type hints.
Key Features
- Fast: Very high performance, on par with NodeJS and Go
- Fast to code: Increase the speed to develop features
- Fewer bugs: Reduce developer errors
- Intuitive: Great editor support and…
Abhishek Maheshwarappa
Data Scientist | ML-Ops| https://abhi-gm.github.io/ | https://www.linkedin.com/in/abhishek-g-m/ | https://github.com/abhi-gm
