Machine Learning courses

1003 Courses

Cloud for CTOs

Title: Cloud for CTOs Description: Join this compelling event designed for CTOs eager to enhance their cloud computing expertise. Offered by AWS Skill Builder, this session explores the terrain of Cloud Computing, Artificial Intelligence, Machine Learning, and DevOps. Languages Available: 日本語 Provider: AWS Skill Builder Categories: Artificial In.
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provider AWS Skill Builder
pricing Free Certificate
sessions On-Demand

Manage intelligent recommendations in Dynamics 365 Commerce

Title: Manage Intelligent Recommendations in Dynamics 365 Commerce Description: This comprehensive course, provided by Microsoft Learn, delves into the dynamic capabilities of Dynamics 365 Commerce, specifically focusing on leveraging intelligent product recommendations. Here's what you can expect: Module 1: Product Recommendations - Explore the.
provider Microsoft Learn
pricing Free Online Course
duration 2 hours 49 minutes
sessions On-Demand

Mining Quality Prediction Using Machine & Deep Learning

Title: Mining Quality Prediction Using Machine & Deep Learning Description: Engage in a comprehensive 1.5-hour project-based course on Coursera, designed to enhance your understanding of both simple and multiple linear regression. Throughout this educational journey, you'll: Grasp the core concepts and principles underlying linear regression. Lea.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand

Diabetes Disease Detection with XG-Boost and Neural Networks

Course Title: Diabetes Disease Detection with XG-Boost and Neural Networks Description: Join our comprehensive project-based course offered by Coursera, where participants will develop a sophisticated machine learning model aimed at detecting diabetes. Using XG-Boost and Artificial Neural Networks, students will engage in building, training, and te.
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provider Coursera
pricing Paid Course
duration 2-3 hours
sessions On-Demand

Interpretable machine learning applications: Part 3

Title: Interpretable Machine Learning Applications: Part 3 Description: Join our intensive 50-minute project-based course, titled "Interpretable Machine Learning Applications: Part 3", available on Coursera. This course is designed to equip participants with the ability to apply sophisticated explanation techniques and algorithms for interpreting p.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand

From Developer to Entrepreneur

Title: From Developer to Entrepreneur Description: Currently, millions of students are enrolling in machine learning courses, with many aspiring to launch their own ventures. Sramana Mitrah, a staunch advocate for democratizing entrepreneurship and entrepreneurial capitalism, envisions a future where wealth creation reaches the middle of the pyrami.
provider Swayam
pricing Free Online Course
sessions On-Demand

University Admission Prediction Using Multiple Linear Regression

University Admission Prediction Using Multiple Linear RegressionJoin us in this interactive project on Coursera where we delve into the practical applications of regression models to predict university admissions. Learn how to calculate the acceptance probability of a student to a specific university based on their profile. This project aims to equ.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand

From Data to Insights with Google Cloud

Discover the power of big data analysis with the "From Data to Insights with Google Cloud" specialization offered online through Coursera. This comprehensive four-course program is specifically designed for Data Analysts, Business Intelligence professionals, and Cloud Data Engineers seeking to enhance their skills in scalable data solutions using G.
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provider Coursera  Specialization
pricing Paid Course
duration 22 weeks, 2 hours a week

Machine Learning A-Z: AI, Python & R + ChatGPT Prize [2024]

Title: Machine Learning A-Z: AI, Python & R + ChatGPT Prize [2024] Description: Master the art of crafting machine learning algorithms with our comprehensive course led by seasoned data science experts. This insightful program on Udemy covers both Python and R, providing useful code templates to enhance your learning experience. Jumpstart your jour.
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provider Udemy
pricing Paid Course
duration 1 day 18 hours 40 minutes
sessions On-Demand

Introduction to Data Science using Python (Module 1/3)

Introduction to Data Science using Python (Module 1/3) Explore the fundamentals of data science and machine learning using Python with this comprehensive module offered on Udemy. Whether you're a beginner or looking to brush up on your skills, this course caters to all levels. Dive into the powerful Scikit Learn library and unlock the potential of.
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provider Udemy
pricing Free Online Course
duration 2 hours 32 minutes
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!