Linear Regression Explained
Author(s): Daksh Trehan Originally published on Towards AI. Explaining Linear Regression as easy as it could be. Designed on canva.com by Daksh Trehan It is often the first machine-learning algorithm to be taught due to its fundamental nature. It is part of …
Best Machine Learning Blogs to Follow in 2020
Author(s): Roberto Iriondo Originally published on Towards AI. References Source: Pixabay From researchers to students, industry experts, and machine learning (ML) enthusiasts β keeping up with the best and the latest machine learning research is a matter of finding reliable sources of …
Data Science, Alexander of the Times Ahead
Author(s): Saiteja Kura Originally published on Towards AI. Now, where is the opportunity for data scientists here? Why is it such a lucrative profession to be in? Designed using Canva. Raise your hands if you ever heard about Data Science! It has …
Best Machine Learning Blogs to Follow inΒ 2022
Source: PixabayΒ Keep up with the best and the latest machine learning (ML) research blogs through reliableΒ sources. Author(s): Roberto Iriondo From researchers to students, industry experts, and machine learning (ML) enthusiastsβββkeeping up with the best and the latest machine learning research is …
Estimating a Classifier Performance Just by Looking at the Distributions
Author(s): Michelangiolo Mazzeschi Originally published on Towards AI. Most of the time, when our AI is not performing as we wish, we might blame the algorithms behind the model. However, a programmer with enough experience knows that the quality of the data …
Outline
Author(s): Sik-Ho Tsang Originally published on Towards AI. Review: DBPN & D-DBPN β Deep Back-Projection Networks For Super-Resolution (Super Resolution) Iterative Up & Down Projection Units, Outperforms SRCNN, FSRCNN, VDSR, DRCN, DRRN, LapSRN, and EDSR In this story, Deep Back-Projection Networks (DBPN) …
Convert Images to ASCII Art Images Using Python
Author(s): Pushkara Sharma Originally published on Towards AI. Programming In this article, we will use Python to convert any given image to an artistic ASCII colored image in less than 35 lines of code. Original Image on the left and Final ASCII …
New Multilingual Model β XTREME
Author(s): Edward Ma Originally published on Towards AI. Data Size Correlation Photo by Edward Ma on Unsplash Developing general-purpose multilingual representations is a trend in recent years. Most of the earlier models are developed based on English while we have several thousand …
People Analytics
Author(s): Mishtert T Originally published on Towards AI. Better than your gut feeling Performance Evaluation β Things to watch out for Photo by Charles Forerunner on Unsplash This is a bit of a longer than usual article. If you are interested in …
Random Error Quantification in Machine Learning
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Every machine learning algorithm has an inherent random error that must be assessed and quantified Image by Benjamin O. Tayo Every machine learning model has an inherent random error. This error arises …
Classifying Credit-Loan Customers
Author(s): Lawrence Alaso Krukrubo Originally published on Towards AI. 4a. K-Nearest-Neighbour Classifier (KNN): Intro.Exploratory data analysis.Feature-Engineering.Modeling and Evaluation.Conclusion.The classification decision should be based on some scienceβ¦ In August 2018, an article by the New York Post showed that more Americans were defaulting …
Dashboard Creation Using R Shiny
Author(s): Suyash Maheshwari Originally published on Towards AI. Shiny is an R package that is used to build interactive dashboards that can be used to display predictions. It can be used by programmers to communicate the findings of data to organization members …
35 Words About Uncertainty, Every AI-Savvy Leader Must Know
Author(s): Yannique Hecht Originally published on Towards AI. Artificial Intelligence Think you can explain these? Put your knowledge to the test! [This is the 3rd part of a series. Make sure you read about Search and Knowledge before continuing. Future topics include …
Stock Price Prediction Model for Netflix
A Comparative Study of Linear Regression, K-Nearest Neighbor (KNN) and Support Vector Machine (SVM) Author(s):Β Vivek Chaudhary The objective of this article is to design a stock prediction linear model to predict the closing price of Netflix. This will be a comparative study …