By 2026, the Machine learning market is expected to reach USD 33.4 billion.

28 June, 202128 June, 2021

The Machine Learning Market size was valued at USD 1.7Billion in 2018 and is expected to grow to USD 33.4 Billion by 2026. The segment of advertising and media dominated…

Machine Learning Trends That Will Transform The World in 2021

2 June, 20212 June, 2021

Evolution is inevitable, whether it is human or technology, the changes in them are transforming human life as well. Machine learning and artificial intelligence have crossed the boundaries of science…

How Machine Learning Facilitates Fraud Detection?

31 May, 202131 May, 2021

Digitization and the growth of the internet have played an important role in redefining the future. With the use of technology, it has become easier for companies to do transactions…

Uses of Machine Learning in Detecting Covid-19

21 April, 202121 April, 2021

Wondering what role Machine Learning can play in detecting and preventing deadly coronavirus? Well, we have got you covered. Table of Contents Overview How can Machine Learning Help? Concluding Lines …

Applications of ML in Cyber Security

7 November, 202013 July, 2021

According to machine learning experts, machine learning is a computer science division that encourages computers to learn new scientific data-based behaviors. The objective is to develop algorithms that allow a…

AutoML Libraries for Python, you should know.

22 October, 2020

AutoML provides tools that automatically discover good machine learning model pipelines for a particular dataset without much user intervention. It is ideal for machine learning practitioners or domain experts new…

Reinforcement Learning: Difference between Q and Deep Q learning

19 October, 2020

Artificial Intelligence has an estimated market of 7.35 billion US dollars and is growing by leaps and bounds. As predicted by McKinsey, AI, including reinforcement learning and deep learning techniques,…

Principal Component Analysis vs Linear Discriminant Analysis

13 October, 2020

In machine learning, reducing dimensionality is a critical approach. Overfitting of the learning model may result in a large number of features available in the dataset. There are two standard…

K-Means Clustering vs Hierarchical Clustering

11 October, 20208 October, 2020

A form of exploratory data analysis in which observations are divided into different groups with standard features is known as clustering analysis. The purpose of classification or cluster analysis is…

Decision-Tree-vs-Random-Forest-for-Classfication-Problems

Decision Tree vs. Random Forest for Classification Problems

10 October, 2020

Decision trees are part of the Supervised Classification Algorithm family. On classification issues, they work very well, the decisional route is reasonably easy to understand, and the algorithm is fast…

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