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Author(s): Amit Chauhan Originally published on Towards AI. An algorithm gives a computer a specific set of instructions This member-only story is on us. Upgrade to access all of Medium. Photo by Markus Spiske on Unsplash We are already aware that any …
These 10 Algorithms Can Change Your Life — If You Work With Data
Author(s): Jair Ribeiro Originally published on Towards AI. These Algorithms can help you efficiently carry out your Data Science tasks in the most important business context. Photo by Kaleidico on Unsplash This member-only story is on us. Upgrade to access all of …
What are the advantages and disadvantages of K-Means Clustering?
Author(s): Akash Dawari Originally published on Towards AI. All About K-Means Clustering In this article we will understand a clustering algorithm by answering the following question: What is clustering? What are the real-world applications of clustering? How does K-means Clustering work? How …
All About Adaboost
Author(s): Akash Dawari Originally published on Towards AI. All About Adaboost The article will explore the idea of Adaboost by answering the following questions: What is Adaboost? Why are we learning Adaboost? How do Adaboost works? What are the differences between Random …
What Is the Effect of Batch Size on Model Learning?
Author(s): Mohit Varikuti Originally published on Towards AI. Top highlight And why does it matter Batch Size is one of the most crucial hyperparameters in Machine Learning. It is the hyperparameter that specifies how many samples must be processed before the internal …
How we can implement Random Forest using python?
Author(s): Akash Dawari Originally published on Towards AI. All About Random Forest In this article, we will understand Random Forest by answering the following questions: What is Random Forest? Why we are using Random Forest? How does Random Forest work? What are …
Face Recognition Algorithms With 2 Different Methods
Author(s): Gencay I. Originally published on Towards AI. Finding Faces This member-only story is on us. Upgrade to access all of Medium. Image by Author Computer vision is copied form of human vision capability with the support of computer technology & algorithms …
Waging a war against light pollution to save the world — Machine Learning is all set to help
Author(s): Supriya Ghosh Originally published on Towards AI. Technology Light Pollution is a known phenomenon that is seeking significant attention globally due to its alarming rate of harming all living species including humans. It can prove hazardous if not monitored and controlled …
Introduction
Author(s): Palak Originally published on Towards AI. Intuitive Approach Photo by Zdeněk Macháček on Unsplash K-nearest neighbors(in short KNNs) are a robust yet straightforward supervised machine learning algorithm. Though its regression variant also exists, we’ll only discuss its classification form. KNN is …
Biased Machines and Where to Find Them
Author(s): Davor Petreski Originally published on Towards AI. Fairness, Ethics Algorithmic Oppression: Biased Machines and Where to Find Them Recent events of racial discrimination in law enforcement and the healthcare industry have shown us how biased and racist humans are. The systemic …
Machine Learning (ML) Algorithms For Beginners with Code Examples in Python
Author(s): Pratik Shukla, Roberto Iriondo, Sherwin Chen Machine Learning Algorithms Tree | Source: Image authored by Sherwin Chen, please cite it accordingly whenever used. The citation can be found at the bottom of the article. Overview of the major machine learning algorithms …
Spatial Data Science Simplified
Author(s): Brenda Hali Originally published on Towards AI. Tools to use to perform it and where to learn it Stuck behind the paywall? Read here with my Friend Link For decades, geographers, geologists, researchers, and analysts from a wide variety of fields …
Pros & Cons of the Most famous AI Algorithms
Author(s): Surya Govind Originally published on Towards AI. Photo by Alex Knight on Unsplash Famous AI weapons: what is the use, when to use & when to ignore. Point-wise summary Introduction: First, let’s see what a Classifier is: An algorithm that maps …
Model-Based Meta Reinforcement Learning
Author(s): Sherwin Chen Originally published on Towards AI. Dive into a model-based meta-RL algorithm that enables fast adaptation Image by mrthoif0 from Pixabay Much ink has been spilled on with model-free meta-RL in the previous article. In this article, we present a …
Gradient Descent: In Layman Language
Author(s): Saikat Biswas Originally published on Towards AI. Introducing the most popular and most used optimization technique in 5 minutes Source: Unsplash Whenever we talk of Machine Learning, the word we hear a lot, need to know and reason about is the …
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