Join

Machine Learning courses

1003 Courses

California Institute of Technology Delft University of Technology

AI in Architectural Design

AI in Architectural Design Are you navigating through the maze of AI discussions in everyday conversations? Do you feel overwhelmed and find it challenging to keep up with the constant flow of AI news? Or perhaps you are enthusiastic about AI and its transformative power in design practices. This course will shed light on the science behind the.
course image
provider edX
pricing Free Online Course (Audit)
duration 4 weeks, 2-4 hours a week
sessions On-Demand
California Institute of Technology DataCamp

Data Science for Business

Data Science for Business Learn about data science for managers and businesses and how to use data to strengthen your organization. What is data science and how can you use it to enhance your organization? This course will teach you about the skills you need on your data team and how to structure that team to meet your organization's unique ne.
course image
provider DataCamp
pricing Free Trial Available
duration 2 hours
sessions On-Demand
California Institute of Technology OpenClassrooms

Utilisez des modèles supervisés non linéaires

Dans le cours Entraînez un modèle prédictif linéaire, vous avez appris à construire des modèles linéaires de classification binaire ou multi-classe et de régression. Mais ceux-ci peuvent ne pas être adaptés à la nature de vos données. Dans ce cours, vous apprendrez à entraîner des modèles supervisés non-linéaires sur vos données. Vous comprendre.
provider OpenClassrooms
pricing Free Online Course
duration 12 hours
sessions On-Demand
California Institute of Technology

Applied Deep Learning Capstone Project

Applied Deep Learning Capstone Project Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable, and digital credential that profiles the knowledge and skills acquired in this course. Enroll to learn more, complete the course, and claim your badge! In this capstone project, you'll use a De.
course image
California Institute of Technology University of Queensland

Teaching Impacts of Technology: Data Collection, Use, and Privacy

Teaching Impacts of Technology: Data Collection, Use, and Privacy In this course, you'll delve into the influence of constant data collection and big data analysis on daily life. Discover the fine balance between using and safeguarding your data, and consider its potential future benefits. The journey includes paired teaching sections that exami.
course image
California Institute of Technology Skillshare

Artificial Intelligence for Beginners: Tools to Learn Machine Learning

Artificial Intelligence for Beginners: Tools to Learn Machine Learning What really is “artificial intelligence”? “Machine learning”? Let’s cut through the meaningless buzzwords, and talk the real talk. This class covers must-know topics for AI product managers, ML practitioners, and anyone in between that’s curious about these emerging fields. We.
course image
provider Skillshare
pricing Free Trial Available
duration 1 hour 5 minutes
sessions On-Demand
California Institute of Technology Stanford University

Stanford Seminar - Distributed Perception and Learning Between Robots and the Cloud

University: Stanford University Provider: YouTube Categories: Machine Learning Courses, Reinforcement Learning Courses, Federated Learning Courses This course aims to teach learners about distributed perception and learning between robots and the cloud. The learning outcomes include understanding the key challenges of cloud robotics, distribu.
course image
provider YouTube
pricing Free Online Course
duration 47 minutes
sessions On-Demand
California Institute of Technology Stanford University

Stanford Seminar - Accessibility and the AI Autumn - Jeff Bigham

Stanford Seminar - Accessibility and the AI Autumn - Jeff Bigham This course aims to educate learners on the importance of accessibility in the context of artificial intelligence. The learning outcomes include understanding human-computer interaction, challenging ability assumptions, designing for users with disabil.
course image
provider YouTube
pricing Free Online Course
duration 1 hour
sessions On-Demand
California Institute of Technology Stanford University

Bayesian Networks 1 - Inference - Stanford CS221: AI

Bayesian Networks 1 - Inference - Stanford CS221: AI The course teaches students how to specify joint distributions compactly using Bayesian networks and factor graphs. It covers probabilistic inference, explaining away, consistency of sub-Bayesian networks, and applications such as medical diagnosis, language modeling, object tracking, multiple.
course image
California Institute of Technology Stanford University

Stanford Seminar - Can the Brain Do Back-Propagation?

Stanford Seminar - Can the Brain Do Back-Propagation? This course explores the concept of whether the brain can perform back-propagation. The learning outcomes include understanding online stochastic gradient descent, reasons why the brain may not be able to do backprop, and new methods for unsupervised learning. Students will learn about the.
course image

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!