Machine Learning courses

1736 Courses

Udemy

Sports Management: Data and Analytics

Course Overview: Immerse yourself in the world of sports management with a focus on data analytics, and learn how these concepts can significantly boost outcomes on the pitch and beyond. Offered by: Udemy - a leading global learning platform that offers expert instruction and flexible learning options. Categories: This course falls under nu.

Udemy

Master AI Image Generation using Stable Diffusion

Join our comprehensive course on Udemy to master the art of AI Image Generation using the powerful tool of Stable Diffusion. This course will guide you through a step-by-step process of creating stunning visuals using Generative Artificial Intelligence with the integration of Python. Whether you are a beginner or have some experience, this co.

Udemy

No-Code AI for Agriculture Professionals

No-Code AI for Agriculture Professionals Unlock the potential of artificial intelligence in agriculture with our comprehensive course designed for professionals. Dive into the world of AI without the need to write any code, using a cutting-edge no-code AI platform. Perfectly tailored for those looking to streamline operations, improve productivity.

Udemy

2025 Deep Learning for Beginners with Python

Embark on your deep learning journey with the 2025 Deep Learning for Beginners with Python course. This comprehensive program is designed to introduce newcomers to the exciting world of artificial intelligence, using Python as the primary tool. This course delves into the fundamentals of neural networks, including a detailed exploration of Ar.

Udemy

Azure AI-050: Generative AI Solutions with Azure OpenAI

Join the Azure AI-050 course to swiftly learn to build Generative AI solutions with the Azure OpenAI Service. This engaging course by Udemy combines the power of Azure and Artificial Intelligence, offering a comprehensive understanding of integrating Generative AI technologies through a series of meticulously designed modules. Designed for t.

Udemy

AI Made Accessible

Unlock the world of artificial intelligence with "AI Made Accessible," a comprehensive beginner's guide that aims to elevate your skills in prompt engineering and more. Hosted by Udemy, this course offers a deep dive into essential AI concepts through practical, hands-on labs designed to enhance your knowledge and proficiency. In this course,.

Udemy

Generative AI for Professionals and Leaders

Advance your professional journey with the course "Generative AI for Professionals and Leaders" offered by Udemy. This comprehensive learning experience is designed to help you excel in your career by effectively leveraging Generative AI. Dive into essential areas such as Learning, Implementation, Change Management, and the establishment of a G.

Udemy

Responsible AI: Principles, Practices, and Applications

Responsible AI: Principles, Practices, and Applications | Udemy Course Join the course on Responsible AI: Principles, Practices, and Applications, and learn how to implement AI responsibly. Offered by Udemy, this course is perfect for those looking to deepen their understanding of responsible AI practices and ethics in the world of Art.

Udemy

OCI AI Foundations Associate 1Z0-1122-24 Exam Preparation

Udemy

Generative AI and ChatGPT Masterclass for Software Engineers

Elevate your skills with the Generative AI and ChatGPT Masterclass tailored specifically for software engineers. This comprehensive course offers the perfect blend of theoretical underpinnings and practical know-how. Explore AWS Gen AI, Bedrock, and Gemini through immersive, hands-on training sessions. Whether you're just starting or looking.

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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:

Voice assistant Alisa. This system, without human help, will always find the answer to any question of interest, turn on music, answer the call and much more.

Selecting relevant advertising in browsers is not an easy process for a person, but it is quick for a computer. The system will analyze the viewing data and select what a particular user will like. The same system is used on various marketplaces - products that a person viewed or purchased are offered.

Chatbots in various dialogues. For example, many banks use bots to solve customer problems. It's convenient and fast.

Data security: Machine learning models can identify data security vulnerabilities before they become breaches. By analyzing past experiences, machine learning models can predict future high-risk actions so that risk can be mitigated proactively.

Finance: Banks, trading brokers and fintech firms use machine learning algorithms to automate trading and provide financial advisory services to investors. Bank of America uses chatbot Erica to automate customer support.

Healthcare: Machine learning is used to analyze massive medical data sets to speed up the discovery of treatments and cures, improve patient outcomes, and automate routine processes to prevent human errors. For example, IBM Watson uses data mining to provide doctors with data they can use to personalize patient care.

Fraud detection: AI is used in the finance and banking sector to autonomously analyze large numbers of transactions to identify fraudulent activities in real time. Technology services company Capgemini says fraud detection systems using machine learning and analytics reduce fraud investigation time by 70% and increase detection accuracy by 90% .

Retail: AI researchers and developers are using machine learning algorithms to develop AI recommendation engines that make relevant product suggestions based on shoppers' past choices, as well as historical, geographic and demographic data.

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:

Basic knowledge of programming languages such as Python, R, Java, JavaScript, etc.

Average knowledge of statistics and probability.

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.

Understanding Calculus.

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!