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10 Online Machine Learning Courses for All Levels

In this article, you can find Machine Learning online courses.

Machine learning is the study of computer algorithms that can improve automatically through experience and by the use of data. It is seen as a part of artificial intelligence. Machine learning algorithms build a model based on sample data, known as training data, in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as in medicine, email filtering, speech recognition, and computer vision, where it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks.

A subset of machine learning is closely related to computational statistics, which focuses on making predictions using computers; but not all machine learning is statistical learning. The study of mathematical optimization delivers methods, theory and application domains to the field of machine learning. Data mining is a related field of study, focusing on exploratory data analysis through unsupervised learning. Some implementations of machine learning use data and neural networks in a way that mimics the working of a biological brain. In its application across business problems, machine learning is also referred to as predictive analytics.

Below we have prepared for you 10 online Machine Learning courses to expand your knowledge.

The Complete Supervised Machine Learning Models in R
Python School via Udemy
In this course, you are going to learn all types of Supervised Machine learning Models implemented in R. The Math behind every Model is very Important. Without it, you can never become a Good Data Scientist . That is the reason, I have covered the Math behind every model in the intuition part of each model. Now anyone who wants to learn Supervised Machine learning Models in R or Anyone who wants to learn the behind the Machine learning Models or anyone curious about Data Science can enroll in this course as this is the right one for them. I assure you that after you have completed this course you will be a pro in Supervised machine learning models using R language and you will have a grip on all these models.
★★★★★(5-star rating)

Professional Certificate in Machine Learning
Academy of Computing & Artificial Intelligence via Udemy
It all started when the expert team of The Academy of Computing & Artificial Intelligence [ACAI] (PhD, PhD Candidates, Senior Lecturers , Consultants , Researchers) and Industry Experts . hiring managers were having a discussion on the most highly paid jobs & skills in the IT/Computer Science / Engineering / Data Science sector in 2020. To make the course more interactive, we have also provided a live code demonstration where we explain to you how we could apply each concept/principle. Each & every step is clearly explained. While artificial intelligence (AI) is the broad science of mimicking human abilities, machine learning is a specific subset of AI that trains a machine how to learn. Watch this video to better understand the relationship between AI and machine learning. You’ll see how these two technologies work, with useful examples and a few funny asides.
★★★★★(5-star rating)

Data Science & Machine Learning(Theory+Projects)A-Z 90 HOURS
AI Sciences & AI Sciences Team via Udemy
IData science is a large field of study that covers data systems and processes. These systems and processes are aimed at maintaining data sets as well as getting meaning out of them. Machine Learning (ML), a branch of AI, is the concept that systems can automatically learn and adapt from experience without human intervention. ML, essentially, aims to equip machines with independent learning techniques. Data Science & Machine Learning Full Course in 90 Hours is exhaustive and covers various topics in both these fields in great detail. Data science specialists use a combination of algorithms, applications, principles, and tools to gain a real sense of random data clusters. You are probably aware that organizations worldwide are generating exponential amounts of data. So, monitoring and storing all this data becomes very difficult. This is where data science plays a vital role by focusing on data modeling and data warehousing.
★★★★★(5-star rating)

Hands-On Machine Learning for .NET Developers
Packt Publishing via Udemy
By taking this course, you will learn how to implement various machine learning tasks and algorithms using the ML.NET library, and use the Model Builder and CLI to build custom models using AutoML. You will load and prepare data to train and evaluate a model; make predictions with a trained model; and, crucially, retrain it. You will cover image classification, sentiment analysis, recommendation engines, and more! You’ll also work through techniques to improve model performance and accuracy, and extend ML.NET by leveraging pre–trained TensorFlow models using transfer learning in your ML.NET application and some advanced techniques. By the end of the course, even if you previously lacked existing machine learning knowledge, you will be confident enough to perform machine learning tasks and build custom ML models using the ML.NET library.
★★★★★(5-star rating)

Data science, machine learning, and analytics without coding
Eric Hulbert via Udemy
Do you want to super charge your career by learning the most in demand skills? Are you interested in data science but intimidated from learning by the need to learn a programming language? I can teach you how to solve real data science business problems that clients have paid hundreds of thousands of dollars to solve. I’m not going to turn you into a data scientist; no 2 hour, or even 40 hour online course is able to do that. But this course can teach you skills that you can use to add value and solve business problems from day 1.This course is different than most for several reasons we start with problem solving instead of coding and The examples are based on real client work.
★★★★★(5-star rating)

Artificial Neural Network and Machine Learning using MATLAB
Nastaran Reza Nazar Zadeh via Udemy
This course is uniquely designed to be suitable for both experienced developers seeking to make that jump to Machine learning or complete beginners who don’t understand machine learning and Artificial Neural Network from the ground up. In this course, we introduce a comprehensive training of multilayer perceptron neural networks or MLP in MATLAB, in which, in addition to reviewing the theories related to MLP neural networks, the practical implementation of this type of network in MATLAB environment is also fully covered. MATLAB offers specialized toolboxes and functions for working with Machine Learning and Artificial Neural Networks which makes it a lot easier and faster for you to develop a NN. At the end of this course, you’ll be able to create a Neural Network for applications such as classification, clustering, pattern recognition, function approximation, control, prediction, and optimization.
★★★★★(5-star rating)

Mathematics & Statistics of Machine Learning & Data Science
Cinnamon TechX via Udemy
Data science continues to evolve as one of the most promising and in–demand career paths for skilled professionals. Today, successful data professionals understand that they must advance past the traditional skills of analyzing large amounts of data, data mining, and programming skills.Data scientists need to be curious and result–oriented, with exceptional industry–specific knowledge and communication skills that allow them to explain highly technical results to their non–technical counterparts. They possess a strong quantitative background in statistics and linear algebra as well as programming knowledge with focuses in data warehousing, mining, and modeling to build and analyze algorithms.Glassdoor ranked data scientist as the #1 Best Job in America in 2018 for the third year in a row. The growing demand for data science professionals across industries, big and small, is being challenged by a shortage of qualified candidates available to fill the open positions.
★★★★★(5-star rating)

Data Science 2022: Data Science & Machine Learning in Python
Ankit Mistry, Vijay Gadhave & Data Science & Machine Learning Academy via Udemy
According to an IBM report, Data Science jobs would likely grow by 30 percent. The estimated figure of job listing is 2,720,000 for Data Science in 2020. And according to the US Bureau of Labor Statistics, about 11 million jobs will be created by 2026. Data Science, Machine Learning and Artificial Intelligence are hottest and trending technologies across the globe, almost every multinational organization is working on it and they need a huge number people who can work on these technologies. By keeping all the industry requirements in mind we have designed this course, with this single course you can start your journey in the field of Data Science. In this course we tried to cover almost everything that is comes under the umbrella of Data Science.
★★★★★(5-star rating)

Hands-On Machine Learning with OpenCV 4
Packt Publishing via Udemy
Computer Vision has been booming in the past few years and it has become a highly sought–after skill. There are tons of real–life problems for which Machine Learning–based solutions provide significantly better results than traditional ad–hoc approaches. The application of Machine Learning and Deep Learning is rapidly gaining significance in Computer Vision. All the latest tech—from self–driving cars to autonomous drones—uses AI running on images and videos. If you want to get your hands dirty with this technology and use it to craft your own unique solutions, then look no further because this course is perfect for you! This hands–on course will immerse you in Machine Learning, and you’ll learn about key topics and concepts along the way. This course is perfect for people who wish to explore the possibilities inherent in Machine Learning.
★★★★★(5-star rating)

Machine Learning in Python: From Zero to Hero in 10 Hours
Sanjay Singh via Udemy
Join the most comprehensive Machine Learning Hands–on Course, because now is the time to get started! From basic concepts about Python Programming, Supervised Machine Learning, Unsupervised Machine Learning to Reinforcement Machine Learning, Natural Language Processing (NLP), this course covers all you need to know to become a successful Machine Learning Professional! But that’s not all! Along with covering all the steps of Machine Learning functions, this course also has quizzes and projects, which allow you to practice the things learned throughout the course! You’ll not only learn about the concepts but also practice each of those concepts through hands–on and real–life Projects. And if you do get stuck, you benefit from extremely fast and friendly support – both via direct messaging or discussion. You have my word!
★★★★★(5-star rating)

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