Machine Learning courses

1770 Courses

Certified Ethical Emerging Technologist

Elevate your professional standing and boost your salary by 25% on average with the Certified Ethical Emerging Technologist (CEET) certification. This industry-recognized credential distinguishes you from other candidates by demonstrating your expertise in navigating the ethical challenges in emerging technology fields such as AI and data science..
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provider Coursera  Professional Certificate
pricing Paid Course
duration 30 weeks, 3 hours a week

Exploratory Data Analysis for Machine Learning

Title: Exploratory Data Analysis for Machine Learning Description: Kickstart your journey in Machine Learning with the first course in the IBM Machine Learning Professional Certificate, offered through Coursera. This foundational course empowers you to appreciate the critical role of high-quality data in machine learning processes. You will master.
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provider Coursera
pricing Free Online Course (Audit)
duration 14 hours
sessions On-Demand

Machine Learning: Algorithms in the Real World

Title: Machine Learning: Algorithms in the Real World Description: Dive into the world of machine learning with our specialized program designed for professionals eager to harness machine learning for data analysis and automation across various sectors, including finance, medicine, engineering, and business. This comprehensive specialization from C.
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provider Coursera  Specialization
pricing Paid Course
duration 17 weeks, 2 hours a week

Computer Vision in Microsoft Azure

Discover the transformative power of AI with the "Computer Vision in Microsoft Azure" course available on Coursera. This course dives into the intricacies of Microsoft Azure's Computer Vision cognitive service, which employs pre-trained models to effectively analyze images. Ideal for software developers, this course enables participants to construc.
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provider Coursera
pricing Free Online Course (Audit)
duration 8-9 hours
sessions On-Demand

Data for Machine Learning

Title: Data for Machine Learning Description: Dive into the essentials of data utilization in machine learning with this comprehensive course. Discover the significant role of data in various phases of machine learning, including learning, training, and operational phases. Gain expertise in identifying critical elements of data, understanding and c.
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provider Coursera
pricing Free Online Course (Audit)
duration 12 hours
sessions On-Demand

Machine Learning Algorithms: Supervised Learning Tip to Tail

Title: Machine Learning Algorithms: Supervised Learning Tip to Tail Description: Dive deep into the world of supervised machine learning with our comprehensive course. Starting with the basics, this course equips learners with the knowledge to understand and implement key supervised learning techniques using real-world case studies. Discover how de.
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provider Coursera
pricing Free Online Course (Audit)
duration 9-10 hours
sessions On-Demand

Machine Learning Introduction for Everyone

Machine Learning Introduction for Everyone is a comprehensive three-module course available on Coursera, designed to introduce machine learning and data science fundamentals to learners. This course is well-suited for individuals looking to grasp essential machine learning models and applications. The curriculum covers the historical context of mac.
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provider Coursera
pricing Free Online Course (Audit)
duration 7-8 hours
sessions On-Demand

Introduction to Applied Machine Learning

Title: Introduction to Applied Machine Learning Description: Join this comprehensive course tailored for professionals keen on integrating machine learning with data analysis and automation across various sectors including finance, medicine, engineering, and business. 'Introduction to Applied Machine Encryption' sets the stage by focusing on proble.
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provider Coursera
pricing Free Online Course (Audit)
duration 6-7 hours
sessions On-Demand

NLP Modelos y Algoritmos

Curso de NLP: Modelos y Algoritmos Impartido por la University of Manchester y disponible en Coursera, este curso está diseñado para proporcionarte una comprensión profunda de los algoritmos de Procesamiento de Lenguaje Natural (NLP). A lo largo del curso, explorarás y aplicarás los últimos y más populares algoritos en NLP para resolver problemas e.
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provider Coursera
pricing Free Online Course (Audit)
duration 11 hours
sessions On-Demand

Elaborazione del linguaggio naturale

Explore the fascinating field of Natural Language Processing with the comprehensive course offered by the Higher School of Economics and provided by Federica. This course provides a detailed overview of technologies used in automatic processing of both written and spoken language, with a special focus on human-machine dialogue technologies.Particip.
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provider Federica
pricing Free Online Course
duration 8 weeks
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!