Machine Learning courses

1003 Courses

Machine Learning for Musicians and Artists

Immerse yourself in the captivating world of technology and art with our "Machine Learning for Musicians and Artists" course, offered by Kadenze. This innovative course is designed for creatives eager to explore the intersection of machine learning and the arts, including music, dance, and visual arts. Whether you dream of crafting a new musical in.
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provider Kadenze
pricing Free Online Course
duration 7 weeks
sessions On-Demand

Neural Networks and Deep Learning

Embark on a journey into the realm of artificial intelligence with the first course in the Deep Learning Specialization offered by Coursera. This course lays the foundation by introducing you to the pivotal concept of neural networks and deep learning. Throughout this course, you will uncover the key technological advancements propelling deep learn.
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provider Coursera
pricing Free Online Course (Audit)
duration 25 hours
sessions On-Demand

Convolutional Neural Networks

Unlock the world of computer vision with our "Convolutional Neural Networks" course, offered through Coursera. This comprehensive fourth course in the Deep Learning Specialization series delves into the dramatic evolution of computer vision, exploring its transformative applications from autonomous driving and face recognition to radiological image.
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provider Coursera
pricing Free Online Course (Audit)
duration 36 hours
sessions On-Demand

Machine Learning: Regression

Explore the fascinating world of machine learning with a focus on regression in this comprehensive course titled "Machine Learning: Regression", offered by the University of Washington through Coursera. Delve into a practical case study on predicting housing prices, where you'll employ models to forecast a continuous value - the price - based on in.
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provider Coursera
pricing Free Online Course (Audit)
duration 22 hours
sessions On-Demand

Machine Learning: Classification

Explore the dynamic field of Machine Learning with a focus on Classification in this comprehensive course offered by the University of Washington through Coursera. Dive into practical case studies including Analyzing Sentiment and predicting Loan Default to master classification techniques. You'll learn how to develop models that can distinguish be.
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provider Coursera
pricing Free Online Course (Audit)
duration 21 hours
sessions On-Demand

Artificial Intelligence Foundations: Thinking Machines

Explore the foundational principles of Artificial Intelligence (AI) in "Artificial Intelligence Foundations: Thinking Machines", an insightful course offered by LinkedIn Learning. This comprehensive course delves into the critical concepts underlying AI such as distinctions between strong and weak AI, various approaches including machine learning,.
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provider LinkedIn Learning
pricing Free Trial Available
duration 1-2 hours
sessions On-Demand

Introduction to Artificial Intelligence and Machine Learning

Embark on a journey into the future with our Introduction to Artificial Intelligence and Machine Learning course, offered by FutureLearn. This self-paced program is your gateway to understanding the burgeoning field of AI and how it's set to revolutionize software solutions across the globe. Delve into the fascinating world of AI with lectures that.
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provider FutureLearn
pricing Paid Course
duration 3 weeks, 6 hours a week
sessions On-Demand

CertNexus Certified Artificial Intelligence Practitioner

Title: CertNexus Certified Artificial Intelligence Practitioner Description: The Certified Artificial Intelligence Practitioner™ (CAIP) course, offered on Coursera, is ideal for learners aiming to distinguish themselves in the job market with a certification validated by the industry. This specialization equips participants with essential knowledge.
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provider Coursera  Professional Certificate
pricing Paid Course
duration 26 weeks, 3 hours a week

Artificial Intelligence for Marketing

Discover how artificial intelligence is transforming marketing strategies in organizations of all sizes through our course provided by LinkedIn Learning. This program delves into the core of AI's impact on marketing, covering topics from machine learning and computer vision to supervised learning. It's a must-enroll for those eager to stay at the f.
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provider LinkedIn Learning
pricing Free Trial Available
duration 1-2 hours
sessions On-Demand

Enhancing Images with Artificial Intelligence (AI)

Discover the transformative power of artificial intelligence in photography with our comprehensive course, offered by LinkedIn Learning. This enlightening program delves into the use of AI to significantly enhance image quality.Participants will gain hands-on experience with cutting-edge, AI-powered applications such as Adobe, Skylum, EyeQ, and Top.
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provider LinkedIn Learning
pricing Free Trial Available
duration 3-4 hours
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!