Machine Learning courses

1736 Courses

Udemy

AI Engineering Masterclass: From Zero to AI Hero

Enhance your skills with the AI Engineering Masterclass: From Zero to AI Hero. In this comprehensive course offered by Udemy, immerse yourself in building, training, and deploying scalable AI solutions. Engage with real-world projects and gain hands-on learning experience. Covering a variety of topics, this course is perfect for those interes.

Udemy

AI Mastery Bootcamp 2025: Algorithms, DeepSeek, AI Agents...

Join the AI Mastery Bootcamp 2025 and dive deep into the world of Artificial Intelligence. This comprehensive course is ideal for anyone who aspires to become a proficient AI Engineer. You will explore the intricacies of Algorithms, Models like DeepSeek, and AI Agents. The bootcamp also covers essential programming with Python and invites you t.

Udemy

Artificial Intelligence in Health Care

Join us to explore the transformative impact of Artificial Intelligence in the healthcare industry. This course, offered by Udemy, delves into the cutting-edge integration of AI technologies in medicine. You'll gain insights into key areas such as Machine Learning, Predictive Analytics, Data Analytics, and Telemedicine. Discover how these adv.

edX

Artificial Intelligence & Machine Learning in Healthcare

Artificial Intelligence & Machine Learning in Healthcare Join this MicroMasters program to discover how Artificial Intelligence (AI) and Machine Learning (ML) are transforming healthcare. Through two self-paced courses, gain insights into improving healthcare with AI and ML. The first course will lay the groundwork for understanding AI and ML,.

Delft University of Technology

Data Skills for Artificial Intelligence

Data Skills for Artificial Intelligence Artificial Intelligence and Machine Learning have become integral techniques for most services and products, with data being central to robust and successful AI/ML applications. Without solid data management, AI projects frequently underperform or even fail. This series of MOOCs provides unique insights and.

Harvard University

Computer Science for Artificial Intelligence

Computer Science for Artificial Intelligence The demand for expertise in AI and machine learning is growing rapidly. By enabling new technologies like self-driving cars and recommendation systems or improving old ones like medical diagnostics and search engines, AI is transforming how we live, work, and play. This series will enable you to take th.

edX

Fundamentos de Inteligencia Artificial

El mundo de la Inteligencia Artificial (IA) ya no es ciencia ficción. La IA está penetrando rápidamente todas las industrias e impactando cada aspecto de nuestra vida diaria. Desarrollar una comprensión fundamental de la IA es crítico y transformará tu carrera profesional. Este programa está diseñado para quienes tienen poca o ninguna experienci.

Harvard University

Learning Python for Data Science

Data science is an ever-evolving field, driven by advances in technologies and algorithms. To excel in this domain, staying updated with cutting-edge programming languages like Python is essential. This Professional Certificate in Learning Python for Data Science from Harvard University comprises three courses emphasizing hands-on practice. Dev.

AWS Skill Builder

AWS Flash - AWS AI/ML Essentials

New York University (NYU)

Foundations of Digital Marketing

Embark on a transformative journey with the Foundations of Digital Marketing Specialization, designed to equip you with the essential skills and knowledge needed to excel in the digital marketing landscape. This comprehensive program covers key topics such as: Fundamentals of Digital Marketing: Learn the core principles and strategies. Di.

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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!