Online Machine Learning Courses: Machine learning is used to build complex statistical and mathematical networks based on large amounts of data.
There is a silent revolution going on in the world and it is being brought about by machine learning. Instead of teaching computers how to perform complex tasks, we now apply this machine learning to develop intelligent systems that let them learn how to do it themselves. If you want to be a part of this transformation that is quietly reshaping the tech industry, online learning courses are the perfect starting point.
What is Machine Learning?
A branch of artificial intelligence (AI), machine learning focuses on developing algorithms that learn from data. This discipline is used to build complex statistical and mathematical networks based on large amounts of data. Machine learning models are also used in chatbots, spam filtering, ad serving, search engines, and fraud detection. It is mostly used in business analytics, health informatics, financial forecasting, and self-driving automobiles.
Here are the best online machine learning courses for beginners:
Machine Learning for All by University of London — on Coursera
Presented by the University of London, this 22-hour course defines both AI Intelligence and Machine Learning as it explores how these disciplines relate to each other. This course does not require you to have advanced mathematical expertise or a good grasp of machine learning platforms such as Python or TensorFlow. Here you’ll learn how to collect data, train a model, and test it to complete a machine learning project. After completing this course, you will learn the fundamentals of machine learning and its diverse applications.
Machine Learning Crash Course by Google — on Google AI Education
This 15-hour course is part of Google AI Education, a free platform that includes articles, videos, and interactive content. The course covers essential concepts that will help you solve machine learning challenges quickly. Python is the programming language of choice and TensorFlow is introduced in the course. Each major part of the course features an interactive Jupyter Notebook hosted by Google Colab. All video lectures and articles are short and to the point – they will help you progress through the course at your own pace.
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Machine Learning by Stanford University — on Coursera
This is one of the first online machine learning courses that helped spread the popularity of this topic. It is taught by renowned computer scientist Andrew Ng. The mathematical foundation of machine learning is laid in this 61-hour course. Before moving on to multivariate and logistic regression, it begins with a review of linear algebra and univariate linear regression. Here you will also learn about practical issues such as planning and implementing large-scale machine learning initiatives.
Machine Learning A-Z™: Hands-On Python & R In Data Science — on Udemy
This 50-hour course provides a thorough and practical overview of Machine Learning. It gradually moves from data preprocessing to model validation, but some of the underlying math takes over. The course begins with a discussion of the various regression, classification, and clustering models. It covers the principles of artificial neural networks as well as reinforcement learning and natural language processing. The TensorFlow machine learning package is used throughout the course, along with the Python and R programming languages.
Complete Machine Learning & Data Science Bootcamp 2022 — on Udemy
This 45-hour course covers both Python programming and machine learning. After setting up your programming environment, you’ll dive into a Python crash course in the first part of the course – it will help you master the basics of the programming language as well as a variety of popular libraries such as NumPy, Pandas, and Matplotlib. will help. , Once you have developed Python programming abilities, you will be ready to tackle the second part of the course, which is entirely devoted to machine learning.
IBM Machine Learning Professional Certificate by IBM — on Coursera
This six-month course, offered by IBM, teaches machine learning using Python, which is considered a leading AI programming language. You need to brush up on your calculus as this course will challenge you with math skills. Machine learning basics and applications in sectors such as healthcare, banking, and telecommunications are covered in the first part of the course. It also discusses the differences between supervised and unsupervised learning.
Machine Learning for Musicians and Artists by Goldsmiths, University of London — on Kadenze
This 56-hour course is the most unconventional on the list because it addresses machine learning from an aesthetic point of view, from music to the visual arts. Here you will master the principles of machine learning through the lens of art, motion, and music. The course will teach you how to read human movement, music, and other real-time inputs using machine learning.
Summary* Machine Learning focuses on developing intelligent systems that can learn from data
* Most of the courses offer an overview of Machine Learning components like Python and TensorFlow
We hope this (Top Online Machine Learning Courses for Beginners in 2022) article will help you. All the best, have a Great Day 🙂