Top 10 Machine Learning Algorithms For Beginners: Supervised, Unsupervised Learning and More
By Simon Tavasoli
Last updated on Nov 14, 2022388516
Top 10 Machine Learning Algorithms You Need to Know in 2023
Table of Contents
What‌ ‌Are‌ ‌The‌ ‌10 ‌Popular‌ ‌Machine‌ ‌Learning Algorithms?‌How Learning These Vital Algorithms Can Enhance Your Skills in Machine LearningList of Popular Machine Learning AlgorithmsConclusion
In a world where nearly all manual tasks are being automated, the definition of manual is changing. There are now many different types of Machine Learning algorithms, some of which can help computers play chess, perform surgeries, and get smarter and more personal.

We are living in an era of constant technological progress, and looking at how computing has advanced over the years, we can predict what’s to come in the days ahead.

One of the main features of this revolution that stands out is how computing tools and techniques have been democratized. Data scientists have built sophisticated data-crunching machines in the last 5 years by seamlessly executing advanced techniques. The results have been astounding.

The many different types of machine learning algorithms have been designed in such dynamic times to help solve real-world complex problems. The ml algorithms are automated and self-modifying to continue improving over time. Before we delve into the top 10 machine learning algorithms you should know, let's take a look at the different types of machine learning algorithms and how they are classified.

Machine learning algorithms are classified into 4 types:

Supervised
Unsupervised Learning
Semi-supervised Learning
Reinforcement Learning
Read More: Supervised and Unsupervised Learning in Machine Learning

However, these four types of ml algorithms are further classified into more types.

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What‌ ‌Are‌ ‌The‌ ‌10 ‌Popular‌ ‌Machine‌ ‌Learning Algorithms?‌
Below is the list of Top 10 commonly used Machine Learning (ML) Algorithms:

Linear regression
Logistic regression
Decision tree
SVM algorithm
Naive Bayes algorithm
KNN algorithm
K-means
Random forest algorithm
Dimensionality reduction algorithms
Gradient boosting algorithm and AdaBoosting algorithm

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