Implementing FaceID Technology with a Siamese Neural Network
Author(s): Vasile PΔpΔluΘΔ Machine Learning Understanding more weird networks. Icon from flaticon by NikitaΒ Golubev Face ID is a technology, that allows devices to give access tho themselves only to allowed identities. It uses this looking at the personβs 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 AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
The Beginnersβ 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 AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
Simple Linear Regression Tutorial for Machine Learning (ML)
Author(s): Pratik Shukla, Roberto Iriondo Source: Image by the Author. Diving into calculating a simple linear regression and linear best fit with code examples in Python and math in detail This tutorialβs code is available on Github and its full implementation as …
Linear Regression: Why it Matters and How to Write the Code
Author(s): Mahbubul Alam Simple steps to build linear regression models Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
Classification Evaluation Metrics Explained Clearly
Author(s): Chetan Ambi Understand Confusion Matrix, Precision, Recall, F1-score, etc. Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
Credit Card Fraud Prediction using Machine Learning
Author(s): Sharon Lim Exploring the use of Logistic Regression and Naïve Bayes Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
Dimensional Analysis in Machine Learning
Author(s): Benjamin Obi Tayo Ph.D. You can’t add apples and oranges. Dimensional analysis is essential in machine learning Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
Ace Your Machine learning Interview with How and Why questions.
Author(s): Chandrasekhar Gundluru It’s all about How and Why? Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
Weekly Machine Learning Research Paper Reading Listβββ#9
Author(s): Durgesh Samariya For this week (28/9/2020–04/10/2020), I will be reading following 2 research papers. Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
Improving Artificial Neural Network with Regularization and Optimization
Author(s): S.R. ShindeΒ Photo by Alina Grubnyak onΒ Unsplash In this article, we will discuss regularization and optimization techniques that are used by programmers to build a more robust and generalized neural network. We will study the most effective regularization techniques like L1, …
Everyone Can Understand Machine LearningβββRegression Tree Model
Author(s): Christopher Tao Introduction to Regression Tree Model without formula, equations, and scientific statement Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
Preparing your Dataset for Modelingβ Quickly and Easily
Author(s): Itamar Chinn Data Science, MachineΒ Learning How to deal with categorical features and why SciKit makes things complicated but brilliant This article is the second in a series that will walk you through a classic data science project. Hopefully, by now you …
ROCKET: Fast and Accurate Time Series Classification
Author(s): Alexandra Amidon State-of-the-art algorithm for time series classification with python Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …