Category: Machine Learning

8 posts

What is the Goal of Machine Learning?

Machine Learning • Machine learning is one of the most innovative fields of study that has gained widespread attention in the past decade.  • It is a subset of artificial intelligence (AI) th... Read Mores
Prathmesh Yelne

31-Mar-2024 16:03:29

246 Views Machine Learning 7 months ago

What is Canonical Correlation Analysis and how is it used in Dimensionality Reduction?

Canonical Correlation Analysis (CCA) is a statistical technique used to identify the relationships between two sets of variables by identifying the linear combinations that are maximally correlated ac... Read Mores
Prathmesh Yelne

29-Mar-2023 23:29:53

45 Views Machine Learning 2 years ago
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September 11, 2020

2.2 K Views GCP Cloud Engineer 21 hours ago

Explain the Concept of Multivariate Regression and its Applications?

Multivariate regression is a statistical analysis method used to predict the values of one dependent variable based on multiple independent variables. This method is commonly used in various fields li... Read Mores
Prathmesh Yelne

29-Mar-2023 10:13:31

74 Views Machine Learning 2 years ago

What are Multivariate Methods and Why are They Important in Statistical Analysis?

Introduction Multivariate methods are statistical procedures that deal with analyzing data that have more than one variable. These methods are widely used in various fields, including social sciences,... Read Mores
Prathmesh Yelne

29-Mar-2023 10:13:22

51 Views Machine Learning 2 years ago
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September 11, 2020

2.2 K Views GCP Cloud Engineer 21 hours ago

What are Parametric Methods and What is the Importance in Statistical Analysis?

Introduction Statistical analysis is a critical part of research in various fields, including economics, social sciences, medical studies, and engineering. It involves the collection, analysis, interp... Read Mores
Prathmesh Yelne

28-Mar-2023 9:57:31

57 Views Machine Learning 2 years ago

What is Bayesian Decision Theory (BDT) and What are its Applications?

Bayesian Decision Theory (BDT) is a framework for making decisions based on probability theory and the concept of expected utility. It provides a formal and systematic approach for decision-making und... Read Mores
Prathmesh Yelne

28-Mar-2023 9:57:19

34 Views Machine Learning 2 years ago
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September 11, 2020

2.2 K Views GCP Cloud Engineer 21 hours ago

Explain the Concept of Probably Approximately Correct (PAC) Learning in Machine Learning

Introduction Machine learning is a branch of computer science that deals with the study of algorithms and statistical models that enable computer systems to perform specific tasks without being explic... Read Mores
Prathmesh Yelne

27-Mar-2023 16:21:36

413 Views Machine Learning 2 years ago

Explain How Supervised Learning Learns from Examples

Supervised learning is a machine learning technique that involves learning from labeled examples to make predictions about new data. The goal of supervised learning is to use a labeled dataset to tra... Read Mores
Prathmesh Yelne

27-Mar-2023 14:45:45

31 Views Artificial Intelligence, Machine Learning 2 years ago
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Google

September 11, 2020

2.2 K Views GCP Cloud Engineer 21 hours ago