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Machine Learning courses

1334 Courses

California Institute of Technology Northeastern University

Machine Learning in Healthcare: Fundamentals & Applications

Title: Machine Learning in Healthcare: Fundamentals & Applications Description: This course delves into the exploration of data mining perspectives and methodologies within the healthcare sector. It offers a comprehensive introduction to the theoretical underpinnings of various data mining techniques. Participants will learn how to choose and effec.
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provider Coursera
pricing Free Online Course (Audit)
duration 18 hours
sessions On-Demand
California Institute of Technology Delft University of Technology

Machine Learning for Semiconductor Quantum Devices

Discover the revolutionary link between Machine Learning and Semiconductor Quantum Devices with this comprehensive course from Delft University of Technology, available on edX. Quantum computing represents the cutting edge of technology, with semiconductor chips playing a crucial role in the development of quantum devices. This course tackles the m.
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provider edX
pricing Free Online Course (Audit)
duration 6 weeks, 6-7 hours a week
sessions On-Demand
California Institute of Technology Stanford University

Fundamentals of Machine Learning for Healthcare

Discover the groundbreaking intersection of healthcare and technology with the "Fundamentals of Machine Learning for Healthcare," offered by Stanford University in collaboration with Coursera. This enlightening course is meticulously crafted for individuals across the healthcare spectrum, including professionals in healthcare, health policy, pharma.
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provider Coursera
pricing Free Online Course (Audit)
duration 14 hours
sessions On-Demand
California Institute of Technology Hong Kong Polytechnic University

Text Mining for Marketing

Welcome to the Text Mining for Marketing course offered by the prestigious Hong Kong Polytechnic University, available on Coursera. This beginner-level course is designed to introduce you to the dynamic field of text mining within the context of marketing. Discover the essential principles and methodologies of text mining and how they can be applie.
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provider Coursera
pricing Free Online Course (Audit)
duration 21 hours
sessions On-Demand
California Institute of Technology Swayam

Affective Computing

About the Course: Dive into the innovative world of Affective Computing, a pioneering field at the confluence of Computer Science, design, and human psychology. This enlightening course is designed to equip machines with the ability to recognize emotions and interact adaptively. Participants will explore a comprehensive curriculum covering emotion.
provider Swayam
pricing Free Online Course
duration 12 weeks
sessions 21st Jan, 2024
California Institute of Technology University of Florida

Big Data for Agri-Food: Principles and Tools

Unlock the power of big data in the agri-food sector with our comprehensive course, Big Data for Agri-Food: Principles and Tools. Delve into the complexities of modern big data technologies and lay the groundwork for understanding how principles like immutability and pure functions facilitate parallel data processing. This essential knowledge is cr.
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provider edX
pricing Free Online Course (Audit)
duration 6 weeks, 6-10 hours a week
sessions On-Demand
California Institute of Technology Coursera

Advanced Learning Algorithms

Embark on a journey to mastering the complexities of machine learning with the "Advanced Learning Algorithms" course, the second installment of the Machine Learning Specialization, a collaborative offering from DeepLearning.AI and Stanford Online, hosted on Coursera. This course is meticulously designed to provide hands-on experience in building an.
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provider Coursera
pricing Free Online Course (Audit)
duration 34 hours
sessions On-Demand
California Institute of Technology Indian Institute of Technology Guwahati

Clinical Decision Support Systems - CDSS 4

Title: Clinical Decision Support Systems - CDSS Description: Dive deep into the intricacies of Clinical Decision Support Systems (CDSS) powered by machine learning with this comprehensive course. Explore the critical need for external validation, calibration analysis, and thorough assessment of bias and fairness in machine learning systems used in.
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provider Coursera
pricing Free Online Course (Audit)
duration 8-9 hours
sessions On-Demand
California Institute of Technology Coursera

Unsupervised Learning, Recommenders, Reinforcement Learning

Embark on your journey into the transformative world of AI with the Machine Learning Specialization, a comprehensive online program developed through a pioneering collaboration between DeepLearning.AI and Stanford Online. Dive into the third course of this foundational series, where you will: Explore the realm of unsupervised learning, mastering t.
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provider Coursera
pricing Free Online Course (Audit)
duration 28 hours
sessions On-Demand
California Institute of Technology edX

Deep Learning Essentials

Delve into the world of Deep Learning with a comprehensive online course brought to you by IVADO, Mila, and Université de Montréal. Understand the core principles of Deep Learning, explore the types of problems it can solve, and get acquainted with its fundamental concepts and methods. This course is a collaborative effort between the academic and.
provider edX
pricing Free Online Course (Audit)
duration 5 weeks, 4-6 hours a week
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!