Why is Probability Important to Machine Learning?
Author(s): Saurav Singla Uncertainty utilizing the tools of Probability. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Basic Linear Algebra for Deep Learning and Machine Learning Python Tutorial
Figure 1: A three-dimensional Euclidean space used to represent solutions of linear equations [1] [2]. Image is a vector derivative from “High-dimensional Simplexes for Supermetric Search” by Richard Connor, Lucia Vadicamo, and Fausto Rabitti [3]. An introductory tutorial to linear algebra for machine …
Credit Card Anomaly Detection using Machine Learning
Author(s): Amit Chauhan Credit card companies shall be able to recognize fraudulent credit card transactions. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
How to Handle Imbalanced Data in Machine Learning
Author(s): Chetan Ambi Different methods to handle imbalanced data when solving classification tasks Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Feature Selection in Python
Author(s): George Pipis A practical example of how you can select the most important features Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Deploy Machine Learning Web Apps for Free
Author(s): Aniket Maurya Machine Learning, Programming In this tutorial, I will explain how to deploy any Python web app on Heroku cloud. Photo by Kevin Ku on Unsplash Deploying a Machine Learning model is a difficult task due to the requirement of large memory …
Recommendation System Tutorial with Python using Collaborative Filtering
Author(s): Saniya Parveez, Roberto Iriondo Building a recommendation system using Python and collaborative filtering for a Netflix use case. Introduction A recommendation system generates a compiled list of items in which a user might be interested, in the reciprocity of their current …
The Math behind Gradient Descent and the Normal Equation for Linear Regression
Author(s): Moeedlodhi When i started my machine learning journey, the math was something that always intrigued me and still does. I for one believe that… Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
How I Build Machine Learning Apps in Hours
Author(s): Arunn Thevapalan In hours, not days. Do we even have a choice? Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Bias Matters! What’s Fairlearn, and why should I care?
Author(s): Bruno Cordeiro Improving the fairness of machine learning models. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
MLOps Demystified…
Author(s): Shubham Saboo Machine Learning Efficiency is about doing better what’s already being done — Peter Drucker MLOps is modeled on the existing discipline of DevOps, the modern practice of efficiently building, deploying, and running enterprise-grade applications to shorten the systems development life cycle and …
Analysis of the Learning Rate in Gradient Descent Algorithm Using Python
Author(s): Jalal Mansoori In this tutorial, you’ll learn, implement, visualize the Performance of Gradient descent by trying different sets of learning rate values. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Implementing FaceID Technology with a Siamese Neural Network
Author(s): Vasile Păpăluță Machine Learning Understanding more weird networks. Icon from flaticon by Nikita Golubev Face ID is a technology, that allows devices to give access tho themselves only to allowed identities. It uses this looking at the person’s face and if it …
Multi-Armed Bandit with Thompson Sampling
Author(s): George Pipis A practical example of how to run Thompson Sampling in R Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
The Beginners’ Guide to the ROC Curve and AUC
Author(s): Chetan Ambi Understand what is ROC Curve and AUC, how to works, and how to use it for classification problems Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …