Machine Learning courses

1003 Courses

Structuring Machine Learning Projects

Discover how to lead successful machine learning projects in the "Structuring Machine Learning Projects" course, part of the Deep Learning Specialization offered by Coursera. This course is designed to equip you with the knowledge and skills necessary to effectively manage and direct machine learning projects. Throughout the course, you'll have the.
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provider Coursera
pricing Free Online Course (Audit)
duration 6-7 hours
sessions On-Demand

Artificial Intelligence Foundations: Neural Networks

Explore the foundation of Artificial Intelligence with our focused course on Neural Networks, available through LinkedIn Learning. This course delves into the critical concepts underlying artificial neural networks, providing you with the knowledge to configure your neural network. With this expertise, you'll be equipped to uncover patterns within.
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provider LinkedIn Learning
pricing Free Trial Available
duration 1-2 hours
sessions On-Demand

Building AI

Embark on a transformative journey with the "Building AI" course, designed for a broad audience, including those new to programming and those proficient in Python. This course aims to expand your AI vocabulary and skills, providing insights into various AI methodologies, their applicability in real-life scenarios, and their underlying mechanisms. B.
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provider Independent
pricing Free Online Course
duration 50 hours
sessions On-Demand

Machine Learning: Clustering & Retrieval

Delve into the fascinating world of machine learning with the "Machine Learning: Clustering & Retrieval" course, offered by the esteemed University of Washington through Coursera. This course stands as a beacon for those intrigued by artificial intelligence, Python programming, and the intricacies of both supervised and unsupervised learning. Get r.
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provider Coursera
pricing Free Online Course (Audit)
duration 17 hours
sessions On-Demand

Machine Learning for Data Science and Analytics

Note: This course is scheduled for discontinuation. Enroll by July 31st, 2023, 00:00 UTC to participate. Explore the dynamic field of Machine Learning, a pivotal technology that influences web searches, ad placements, credit scoring, stock trading, and numerous other sectors. Offered by Columbia University on the edX platform, this introductory cou.
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provider edX
pricing Free Online Course (Audit)
duration 5 weeks, 7-10 hours a week
sessions 16th May, 2022

Artificial Intelligence Data Fairness and Bias

Delve into the critical elements of fairness and bias within artificial intelligence in this comprehensive course offered by Coursera. This curriculum is designed to address the fundamental issues that emerge as machine learning models are increasingly tasked with making significant decisions, from college admissions to loan approvals. The course e.
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provider Coursera
pricing Free Online Course (Audit)
duration 6-7 hours
sessions On-Demand

Artificial Intelligence Privacy and Convenience

Explore the delicate balance between privacy and convenience in the realm of artificial intelligence with our comprehensive course. Understand the core concepts of security and privacy within machine learning projects. We delve into the ethical considerations necessary to safeguard user privacy while developing effective predictive models. This cou.
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provider Coursera
pricing Free Online Course (Audit)
duration 5-6 hours
sessions On-Demand

Probabilistic Graphical Models 1: Representation

Discover the foundational principles of Probabilistic Graphical Models (PGMs) with "Probabilistic Graphical Models 1: Representation," offered by Stanford University through Coursera. This course provides an in-depth look at the rich framework of PGMs, a critical intersection of statistics and computer science, which leverages probability theory, g.
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provider Coursera
pricing Free Online Course (Audit)
duration 67 hours
sessions On-Demand

Practical Machine Learning

Embark on a journey into the world of Artificial Intelligence and Machine Learning with Johns Hopkins University's practical course, offered through Coursera. This course demystifies the basic components involved in building and applying prediction functions, targeting both budding data scientists and data analysts. Participants will gain foundatio.
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provider Coursera
pricing Free Online Course (Audit)
duration 8-9 hours
sessions On-Demand

Reinforcement Learning

If you're keen on diving deep into the world of machine learning and have a particular interest in theoretical aspects, our Reinforcement Learning course is tailor-made for you. Offered by the Indian Institute of Technology, Kharagpur, and available through Udacity, this course delves into the realm of automated decision-making from a computer scie.
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provider Udacity
pricing Free Online Course
duration 16 weeks
sessions On-Demand

More and more products are now being developed using artificial intelligence. To avoid being left on the sidelines of progress, managers must understand how the robot’s “brains” work

Artificial intelligence (AI) and machine learning technologies have been used for many years, but now the intensity of their use has increased significantly. For example, machine learning is being actively implemented in telecommunications, retail, marketing and e-commerce. But many still do not fully understand what it is.

Machine learning involves the system processing a large number of examples, during which it identifies patterns and uses them to predict the characteristics of new data. In other words, this is the process of giving AI ml courses “consciousness”, the ability to remember and analyze.

Machine learning use cases

The use of machine learning has touched many areas in our lives. Let's look at the most striking examples of the use of computer intelligence:

Facial recognition in the subway will help identify violators or criminals in a huge mass of people. Ordinary observers cannot cope with this task. But a fast-learning machine will do this job without any problems.

What do you need for machine learning (ML)?

For those interested in training, there are several requirements to be met in order to be successful in this field. So, there are the main points you need to know about the machine learning course. These requirements include:

  1. Basic knowledge of programming languages such as Python, R, Java, JavaScript, etc.

  2. Average knowledge of statistics and probability.

  3. Basic knowledge of linear algebra in the ml course. In a linear regression model, a line is drawn through all the data points, and that line is used to calculate new values.

  4. Understanding Calculus.

  5. Knowledge of how to clean and structure raw data into the desired format to reduce the time required for decision making.

Machine learning courses from AI Eeducation are the best choice!