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Machine Learning courses

1795 Courses

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California Institute of Technology Johns Hopkins University

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.
provider Coursera
sessions On-Demand
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California Institute of Technology Indian Institute of Technology, Kharagpur

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.
provider Udacity
sessions On-Demand
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California Institute of Technology Coursera

Sequence Models

Embark on an educational journey with the fifth course of the Deep Learning Specialization offered by Coursera, focusing on Sequence Models. This comprehensive course is designed to acquaint you with the fascinating world of sequence models and their myriad applications, including speech recognition, music synthesis, chatbots, machine translation,.
provider Coursera
sessions On-Demand
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California Institute of Technology University of Michigan

Applied Machine Learning in Python

Embark on a journey into the realm of applied machine learning with Python, brought to you by the University of Michigan through Coursera. This course is tailored for learners aiming to dive deeper into the techniques and methods of machine learning, beyond the statistics that underpin these methods. It commences with a comparative analysis of mach.
provider Coursera
sessions On-Demand
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California Institute of Technology Coursera

Developing AI Applications on Azure

Discover the fascinating world of artificial intelligence (AI) with our "Developing AI Applications on Azure" course, offered through Coursera. Dive into the foundational concepts of AI and machine learning, including the various types and tasks of machine learning, as well as the algorithms that power them. Uncover the capabilities of Python for c.
provider Coursera
sessions On-Demand
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California Institute of Technology University System of Maryland

Introduction to Transforming with Data Analytics and the Digital Organization

Embark on a transformative journey towards digital mastery with the University System of Maryland's course offered through edX. In this enlightening program, learners will delve into the essentials of "Introduction to Transforming with Data Analytics and the Digital Organization". Discover how artificial intelligence, groundbreaking technologies, a.
provider edX
sessions On-Demand
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California Institute of Technology University of Queensland

Machine Learning Fundamentals

Embark on a transformative journey into the world of data science with the Machine Learning Fundamentals course, offered by the prestigious University of Queensland on edX. This comprehensive course delves deep into both supervised and unsupervised learning algorithms, providing you with the theoretical foundation and practical skills needed to exc.
provider edX
sessions On-Demand
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California Institute of Technology Vanderbilt University

Business Intelligence and Visual Analytics

Delve into the world of business intelligence and visual analytics with this comprehensive course offered by Vanderbilt University on Coursera. Building upon foundational knowledge from "Data Warehousing and Business Intelligence," this curriculum dives deeper into the art and science of data visualization and visual analytics. It begins by explori.
provider Coursera
sessions On-Demand
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California Institute of Technology University of Queensland

Machine Learning With Big Data

Explore the realm of Machine Learning with Big Data through this comprehensive course offered by the University of Queensland on Coursera. Delve into the fundamentals of machine learning techniques designed to help you understand, analyze, and leverage your data to make informed decisions. This course equips you with the knowledge to apply various.
provider Coursera
sessions On-Demand
California Institute of Technology Indian Institute of Technology Madras

Introduction to Machine Learning

Overview With the increased availability of data from varied sources there has been increasing attention paid to the various data driven disciplines such as analytics and machine learning. In this course we intend to introduce some of the basic concepts of machine learning from a mathematically well motivated perspective. We will cover the d.
provider Swayam
sessions 21st Jan, 2024

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!