Machine Learning courses

1656 Courses

Udemy

Artificial Intelligence & Leadership: 2025 & Beyond

Artificial Intelligence & Leadership: 2025 & Beyond - Udemy Masterclass Welcome to 'Artificial Intelligence & Leadership: 2025 & Beyond', a comprehensive 7-in-1 Mega-Masterclass designed for visionary leaders eager to navigate the AI-disrupted landscape of modern leadership. Offered by Udemy, this transformative program equips you with essent.

Udemy

AI-102 : Microsoft Azure AI Engineer Associate Exam Guide

Codecademy

Learn How To Build Your Own GPT

Learn how to build a Generative Pre-trained Transformer (GPT) from scratch using PyTorch. Learn how to build your own GPT (Generative Pre-trained Transformer) from scratch using PyTorch in this course. You will use PyTorch to construct a transformer, train it on a text corpus, and then use the trained transformer to generate new text. * Understa.

Udemy

TensorFlow: Basic to Advanced Training

Elevate your machine learning skills with Udemy's comprehensive TensorFlow: Basic to Advanced Training. This course offers a flexible and scalable approach to open-source machine learning, catering to learners at all levels. Delve into specialized topics such as Deep Learning and Neural Networks, while also mastering tools like Keras and TensorF.

Udemy

NotebookLM : Generative AI Interacting with Your Own Data

Explore the cutting-edge capabilities of NotebookLM, a groundbreaking platform that allows you to interact with your own data through generative AI technology. Brought to you by the renowned Google Gemini team, NotebookLM serves as a dynamic playground for those interested in diving deep into data analysis and machine learning. Offered throug.

LinkedIn Learning

Inteligencia artificial más allá de la ingeniería

Embárcate en un viaje fascinante con nuestro curso de "Inteligencia artificial más allá de la ingeniería", diseñado para desmitificar qué es realmente la inteligencia artificial y qué no es. Con una mezcla de explicaciones claras y ejemplos prácticos, este curso te llevará a través del pasado y del presente de la IA, además de presentarte lo.

LinkedIn Learning

Introdução à Inteligência Artificial

Descubra o fascinante mundo da Inteligência Artificial com nosso curso introdutório oferecido pela LinkedIn Learning. Aprenda sobre as principais ferramentas que estão moldando o futuro, desde Robótica, Inteligência Artificial, até Machine Learning. Este curso é classificado em várias categorias, permitindo que você adquira conhecimentos sobr.

LinkedIn Learning

Microsoft Azure AI Essentials Professional Certificate by Microsoft and LinkedIn

Embark on a transformative learning journey with the Microsoft Azure AI Essentials Professional Certificate offered by Microsoft and LinkedIn. This course is designed for tech professionals and business leaders eager to delve into machine learning and AI fundamentals, along with Microsoft Azure's related services. Throughout the course, you.

LinkedIn Learning

Introdução à Inteligência Artificial e Sustentabilidade

Introdução à Inteligência Artificial e Sustentabilidade Descubra o potencial transformador da inteligência artificial para impulsionar práticas sustentáveis. Este curso oferece insights sobre como a IA pode contribuir para um futuro mais sustentável e eficiente. Oferecido por: LinkedIn Learning Categoria: Cursos de Inteligência Artificial, Curso.

LinkedIn Learning

Introduction to Artificial Intelligence

Explore the fascinating world of artificial intelligence with our comprehensive course, Introduction to Artificial Intelligence, provided by LinkedIn Learning. This course offers a thorough overview of the latest tools and techniques in both predictive and generative AI, empowering you with knowledge of cutting-edge technologies. With a focus.

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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!