Python Basics β 3: If Statements, User Input, While Loop
Author(s): Durgesh Samariya Originally published on Towards AI. Day 3 of 100 Days of Machine Learning Photo by Pakata Goh on UnsplashIf StatementConditional TestsIf-Elif-Else StatementUser InputWhile LoopBreak and Continue in the loop If statements are used to check conditions. Letβs have a …
Machine Learning is Conquering Explicit Programming
Author(s): Vaibhav Khandelwal Machine Learning, Opinion Are machines better thanΒ humans? Photo by Lukas onΒ Unsplash Before we proceed further to this post let us first understand what is a binary classification. So letβs understand this by a very simple instance. You are at …
Automation Using Google-Assistant
Author(s): Santhosh Bandaru Originally published on Towards AI. Technology Automating our home appliances is a bit interesting. So letβs see how we can automate them with google-assistant. from shutterstock.com If you are an excited geek and want to automate your home, here …
Local Binary Pattern for The Evaluation of Surface Quality of Dissimilar Friction Stir Welded Joints
Author(s): Akshansh Mishra Originally published on Towards AI. Engineering, Machine Learning Local Binary Pattern for The Evaluation of Surface Quality of Dissimilar Friction Stir Welded Joints Friction Stir Welding process is an advanced solid-state joining process which finds application in various industries …
Local Binary Pattern for The Evaluation of Surface Quality of Dissimilar Friction Stir Weldedβ¦
Author(s): Akshansh Mishra Engineering, MachineΒ Learning Local Binary Pattern for The Evaluation of Surface Quality of Dissimilar Friction Stir WeldedΒ Joints Friction Stir Welding process is an advanced solid-state joining process which finds application in various industries like automobiles, manufacturing, aerospace, and railway firms. …
How do Neural Networks learn?
Author(s): Dorian Lazar Going downhill on the loss landscape Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
Bias & Variance in Machine Learning
Author(s): Shaurya Lalwani Originally published on Towards AI. Photo by Etienne Girardet on Unsplash Linear Regression is a machine learning algorithm that is used to predict a quantitative target, with the help of independent variables that are modeled in a linear manner, …
Bias & Variance in Machine Learning
Author(s): Shaurya Lalwani Machine Learning Photo by Etienne Girardet onΒ Unsplash Linear Regression is a machine learning algorithm that is used to predict a quantitative target, with the help of independent variables that are modeled in a linear manner, to fit a line …
Google Stock prediction using Multivariate LSTM Neural Network
Author(s): Michelangiolo Mazzeschi Originally published on Towards AI. Interpolation Not long ago I published a similar article on how to use LSTMs to make Stock predictions using a Vanilla Neural Network. Because I wanted to minimize the complexity of the problem, I …
NLP News Cypher | 07.26.20
Author(s): Ricky Costa Originally published on Towards AI. Photo by Will Truettner on Unsplash NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher U+007C 07.26.20 Primus The Liber Primus is unsolved to this day. A book of 58 pages written in Runes, …
Why do We Need Activation Functions in Neural Networks?
Author(s): Dorian Lazar Activation functions motivated by examples Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
Deep Insights Into K-nearest Neighbors
Author(s): Palak Machine Learning Photo by ZdenΔk MachΓ‘Δek onΒ Unsplash Introduction K-nearest neighbors(in short KNNs) are a robust yet straightforward supervised machine learning algorithm. Though its regression variant also exists, weβll only discuss its classification form. KNN is a non-parametric lazy learning algorithm. …
Introduction
Author(s): Palak Originally published on Towards AI. Intuitive Approach Photo by ZdenΔk MachΓ‘Δek on Unsplash K-nearest neighbors(in short KNNs) are a robust yet straightforward supervised machine learning algorithm. Though its regression variant also exists, weβll only discuss its classification form. KNN is …
Introduction
Author(s): Odemakinde Elisha Originally published on Towards AI. Data Analytics, Machine Learning Utilization of Dask ML Framework for Fraud Detection βEnd-to-end Data Analytics Photo by Michael Longmire on Unsplash Fraudulent activities have become a rampant activity that has aroused a lot of …
Data Visualization using Pandas, NumPy, and Matplotlib Python Libraries
Author(s): Likhitha kakanuru Originally published on Towards AI. Data Visualization To analyze which students secured the highest percentage in subjects like mathematics, physics, and chemistry we require a bar graph to display it. There are many ways to explore datasets. But in …
Popular posts
Updates
Recent Posts
