Machine Learning has become one of the most exciting and fast-paced computer science fields where one can work. The industry is endless, and the application of Machine Learning can make it more intelligent and efficient. Machine Learning includes a variety of tasks, such as spam filtering, chatbots, search engines, ad serving, fraud detection, and more.
Machine Learning can help us create mathematical models and find the pattern for things that are beyond human reach. Machine learning courses are different from data science courses; they include only machine learning algorithms, while Data Science courses include statistics, data analysis, visualization techniques, and communication.
Best Machine Learning Live Courses in India
Machine Learning
This is the most basic course designed for beginners to get familiar with what machine learning is. This course does not use Python or R languages; it follows Octava instead, the open-source programming language. Octava is a straightforward way to learn the fundamentals of machine learning. The course is excellent for a newbie to understand the basics of ML, and you can cover the course in up to four months. You can even learn Machine Learning with Python; this is also a beginner-friendly course to understand the basics of ML, but it uses Python programming language.
Once you are done with the course, you can proceed with more complex and advanced topics, such as ML Engineering, Deep Learning, and others.
Deep Learning Specialization
Deep learning is a pretty exciting branch of machine learning that uses Python programming language and TensorFlow library for neural networks. This course will introduce you to Deep Learning, Neural Network basics, deep neural networks, shallow neural networks, techniques to improve neural networks, sequence models, convolutional neural networks, and structuring machine learning projects. Ensure that you are familiar with ML and linear algebra basics to understand this course.
Advanced Machine Learning Specialization
This is an advanced series of courses that covers a wide range of machine learning techniques. But keep in mind that you should be well versed with calculus and linear algebra in order to understand the course. In this series of courses, you will learn about Deep Learning, Data Science, Bayesian methods for ML, Natural Language Processing, practical reinforcement learning, deep learning in computer vision, etc. This series of courses will take up to 10 months to complete.
Data Science with ML and Deep Learning
This series of courses will help you understand the basics of Machine Learning, Deep Learning, and Data Analytics. This series of courses will take around up to 9 months to complete.
All these courses are available online; you can easily enrol yourself if you want.
Related Article:- Python Language: A Complete Guide For Beginners
