Machine Learning: Why Is It Important? Machine learning (ML) is a sort of Artificial Intelligence (AI) that allows the software to improve its accuracy at predicting outcomes without being explicitly programmed to do so. To estimate new o/p (output) values, machine learning algorithms use historical data as i/p (input). Many popular recommendation engines make use […]
8 Machine Learning Project Ideas for Beginners Read More »
Contributed by: Netali Agrawal The Chi-square test is also known as the name of the “goodness of fit test”. But questions that first strike our minds on hearing this name are: This article is a guide for all of your doubts and is meant to equip you with a comprehensive knowledge of the Chi-Square test.
What is Chi-Square Test? Chi- Square Test Explained Read More »
Learn Machine Learning from well-established universities across the world, instructed by world-class professors. Attain a Machine Learning certification from world-renowned universities in collaboration with Great Lakes Executive Learning. Great Learning provides you with the best Machine Learning courses and placement assistance to assist you in your successful career path. Great Learning has 400+ hiring partners
10 Best Machine Learning Courses and Certifications (Free & Paid) Read More »
Machine Learning is one of the prominent ways by which companies can remould the way they utilize big data to understand their customer’s demands, their behavioral patterns.With the consistent generation of data and its usage, it has become imperative to build machine learning models. Machine learning tools are algorithmic applications of AI that allow systems
9 Most Popular Machine Learning Tools You Should Know in 2024 Read More »
Contributed by: Prashanth Ashok LinkedIn profile: https://www.linkedin.com/in/prashanth-a-bb122425/ While engaging ourselves with Data Science, we have to define ways to identify both supervised and unsupervised data. These help us to structure the data suitably and to decide on various machine learning models focusing on the business objectives. Before we start discussing the K-Means model, let’s revisit
Learning Data Science with K-Means Clustering – Machine Learning Read More »
Index 1. Introduction of Data Science 2. Introduction of Machine Learning 3. Data Science vs. Machine Learning 4. Similarities between Data Science and Machine Learning 5. Careers for Data Science and Machine Learning 6. Skills needed for Data Science and Machine Learning At its core, data science is a field of study that aims to use a
Data Science vs Machine Learning | Difference Between Machine Learning and Data Science Read More »
Contributed by: Pooja Korwar Introduction to Multivariate Regression In today’s world, data is everywhere. Data itself is just facts and figures, and this needs to be explored to get meaningful information. Hence, data analysis is important. Data analysis is the process of applying statistical analysis and logical techniques to describe and visualize, reduce, revise, summarize,
Introduction to Multivariate Regression Analysis Read More »
