Machine Learning courses

1334 Courses

Forecasting and Aligning AI - Jacob Steinhardt

Explore the cutting-edge realm of AI forecasting and alignment in Jacob Steinhardt's insightful presentation. Discover how modern Machine Learning (ML) systems exhibit transformative shifts in behavior through the simple act of scaling—amplifying the number of parameters and training examples. Steinhardt delves into the intriguing possibility of pr.
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provider YouTube
pricing Free Online Course
duration 55 minutes
sessions On-Demand

Stanford Seminar - Dialog Markets

Explore the burgeoning impact of machine learning (ML) across various data-rich and goal-oriented domains at the Stanford Seminar on Dialog Markets. This insightful session delves into whether ML can contribute to areas necessitating deep thought—be it personal goal reflection or societal challenges like improving aid for the underprivileged. The s.
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provider YouTube
pricing Free Online Course
duration 59 minutes
sessions On-Demand

Post Graduate Certificate in Natural Language Processing

Embark on a transformative journey with the Post Graduate Certificate in Natural Language Processing offered by the Université de Montréal, available on Coursera MasterTrack. This comprehensive program is designed for college graduates and working professionals eager to delve into or specialize in the dynamic field of natural language processing (N.
provider Coursera  MasterTrack
pricing Paid Course
duration 24 weeks, 7 hours a week

Stanford Seminar - Training Classifiers with Natural Language Explanations

Discover an innovative approach to training classifiers at the Stanford Seminar on "Training Classifiers with Natural Language Explanations." Dive into the world of BabbleLabble, an extraordinary framework designed to revolutionize classifier training by utilizing natural language explanations from annotators. This technique allows for the conversi.
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provider YouTube
pricing Free Online Course
duration 26 minutes
sessions On-Demand

Stanford Seminar - Concepts and Questions as Programs

Explore the intersection of AI, cognitive science, and human ingenuity at Stanford University's engaging seminar titled "Concepts and Questions as Programs." This presentation delves into how human strategies for solving complex computational challenges can enlighten both AI research and cognitive science studies. The seminar will cover intriguing.
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provider YouTube
pricing Free Online Course
duration 1 hour 18 minutes
sessions On-Demand

Post Graduate Certificate in Data Science & Machine Learning

Elevate your career with the Post Graduate Certificate in Data Science & Machine Learning offered by Arizona State University, in collaboration with Coursera. This comprehensive 6-month program is meticulously designed to lay a robust foundation in Data Science & Analytics, ensuring you grasp industry-standard tools and techniques. With a p.
provider Coursera  Degree
pricing Paid Course
duration 24 weeks, 6-8 hours a week

Music Information Retrieval

Explore the cutting-edge field of Music Information Retrieval with the Kadenze Program. This specialized course offers an in-depth look at the ability to critically assess, understand, and apply algorithms and systems detailed in research publications from the International Conference of the Society for Music Information Retrieval (ISMIR) and other.
provider Kadenze  Program
pricing Paid Course
duration 96 hours

AI for Medical Diagnosis

Discover the profound impact AI is making in the medical field with our specialized program, "AI for Medical Diagnosis", available on Coursera. This transformative learning journey is designed for those at the intersection of technology and healthcare, aiming to harness the power of artificial intelligence to revolutionize diagnosis, patient care,.
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provider Coursera
pricing Free Online Course (Audit)
duration 20 hours
sessions On-Demand

Features and Boundaries

Embark on a journey with Columbia University's enlightening course offered through Coursera, titled Features and Boundaries. This meticulously designed curriculum dives deep into the essential techniques for detecting features and boundaries within images, setting the foundation for advanced vision tasks such as object detection, recognition, and p.
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provider Coursera
pricing Free Online Course (Audit)
duration 23 hours
sessions On-Demand

Computer Vision for Embedded Systems

Explore the fascinating intersection of computer vision technologies like OpenCV and PyTorch with embedded systems including Raspberry Pi and Jetson in Purdue University's course offered through edX. This course delves into the challenges of deploying computer vision on resource-constrained embedded systems, introducing techniques such as quantizat.
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provider edX
pricing Free Online Course (Audit)
duration 5 weeks, 7-8 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!