What is Machine Learning (ML)?
Tags: python, infosectrain, machinelearning
Published: 2023-04-18 08:03:44

## **What is Machine Learning (ML)?**
Machine Learning is a specific subset of Artificial Intelligence (AI) that uses statistical models and algorithms to enable systems to learn and improve performance from experience without being explicitly programmed automatically. It involves building and training algorithms and models that can make decisions based on patterns and trends in the data to perform tasks such as classification, regression, clustering, and recommendation.

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/qm9dhk64rikx3ag0qakw.png)

## **Top Machine Learning (ML) Libraries**
Below is the list of top Python libraries for Machine Learning:
⦁ Keras

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/7pf79ro4ujwbyguwyd45.png)

It is a high-level open-source library that provides a user-friendly interface for building and training neural networks and allows easy prototyping and experimentation.

⦁ Matplotlib

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/04hu5y86dseo2tb2geuf.png)

It is a data visualization library for Python, often used in Machine Learning to create graphs, bar charts, error bars, and other visual representations of data to better understand trends, patterns, and relationships.

⦁ NumPy

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/um4irlbauuhidn7n0inu.png)

It is a Python library that provides efficient and powerful mathematical operations on large, multi-dimensional arrays and matrices, essential for handling large datasets. It is used for data analysis, scientific computing, and Machine Learning applications.

⦁ NLTK

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/nl9neyqxd2fqenf6r109.png)

NLTK (Natural Language Toolkit) is a popular Python library for natural language processing tasks such as tokenization, stemming, tagging, and sentiment analysis. It is widely used in research and industry to process and analyze large amounts of text data.

⦁ Pandas

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/udx9ovw2e83foq542eg8.png)

It is a popular data manipulation library in Python for Machine Learning. It provides high-performance data structures and tools for data analysis, cleaning, and preparation, which is essential for ML tasks.

⦁ PyTorch

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/lepu696a2eymitysyhcv.png)


It is a popular open-source ML library for building and training deep learning models. Its dynamic computing graph and simple APIs are perfect for research, prototyping, and production deployment across domains.

⦁ TensorFlow

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/g0s3ecqif61jnsgskmsl.png)


It is an open-source ML library used to build and train Machine Learning models for various applications, such as image and speech recognition, reinforcement learning, and natural language processing.

⦁ Theano

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/o5ugdce2k10wbppy8rlh.png)


It is a Python library for deep learning research and development. It enables efficient mathematical computations and supports various types of neural network architectures.

⦁ Scikit-learn

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/wsytzjtvoct2xc0m6upl.png)


It is a popular Python library for ML tasks such as classification, regression, clustering, and dimensionality reduction. It provides a simple and efficient toolset for data analysis and modeling.

⦁ SciPy

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/bbusd5lqojei7n6epdbm.png)

It is an open-source Python library for scientific computing and technical computing. It provides several modules for optimization, integration, linear algebra, statistics, and more.

Check out the related blogs:

- [Different Machine Learning Algorithms for Data Science](https://www.infosectrain.com/blog/different-machine-learning-algorithms-for-data-science/)
- [The Popular Artificial Intelligence and Machine Learning Trends of 2022](https://www.infosectrain.com/blog/the-popular-artificial-intelligence-and-machine-learning-trends-of-2022/)
- [Introduction to Deep Learning and Neural Network](https://www.infosectrain.com/blog/introduction-to-deep-learning-and-neural-networks/)
- [Top Data Science Skills in 2023](https://www.infosectrain.com/blog/top-data-science-skills/)
- [How AI and ML are Used in Cybersecurity?](https://www.infosectrain.com/blog/how-ai-and-ml-are-used-in-cybersecurity/)

## **How can InfosecTrain help?**

Machine Learning is currently one of the most trending skills, as it has numerous applications in various industries. The demand for professionals with ML expertise has grown dramatically in recent years, and it is expected to grow in the future. To start a career in Machine Learning, you can join [InfosecTrain](https://www.infosectrain.com/)’s [Machine Learning](https://www.infosectrain.com/courses/machine-learning-certification-training/) and [Machine Learning with Python](https://www.infosectrain.com/courses/machine-learning-with-python-training/) certification training courses and learn with certified and highly skilled trainers having in-depth knowledge of the subject.