Machine Learning courses

1770 Courses

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.

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

AI-102 : Microsoft Azure AI Engineer Associate Exam Guide

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-900: Microsoft Certified: Azure AI Fundamentals -Dec 2024

Get ready to pass the AI-900: Microsoft Certified Azure AI Fundamentals exam with ease. This comprehensive course on Udemy guides you through essential AI concepts, tailored for both beginners and professionals eager to master Azure AI. Simplify your learning journey by completing the entire course in just one day. The course includes compl.

Udemy

Deep Learning for Beginners: Core Concepts and PyTorch

Embark on your journey into the world of deep learning and artificial intelligence with our beginner-level course, "Deep Learning for Beginners: Core Concepts and PyTorch." This course, available through Udemy, is designed to provide you with a solid understanding of deep learning principles. Whether you're interested in artificial intellige.

Udemy

From Basics to Advanced: Data Analysis Using ChatGPT

Discover the cutting-edge capabilities of Generative AI in transforming your data analysis skills from basic to advanced levels with this comprehensive course. Harness the potential of ChatGPT to simplify complex data, perform deep analyses, and create stunning visualizations that enhance your data-driven decision-making process. Whether you're.

Udemy

Generative AI for Leaders: Strategy & Innovation

Elevate your leadership skills with the 'Generative AI for Leaders: Strategy & Innovation' course on Udemy. Designed for visionaries, this course equips you with insights into artificial intelligence, ethical business practices, and transformative strategies to drive innovation and change within organizations. Course Highlights: Deep dive in.

Udemy

Automated Machine Learning for Beginners (Google & Apple)

Automated Machine Learning for Beginners (Google & Apple) Embark on your journey to mastering AI with our comprehensive beginner's course on Automated Machine Learning, offered via Udemy. This meticulously designed course caters to enthusiasts eager to delve into AI aspects like Computer Vision, Natural Language Processing (NLP), and handling Tabul.

Udemy

Paid Course

3 hours 35 minutes

On-Demand

Udemy

All-in-One:Machine Learning,DL,NLP,AWS Deply [Hindi][Python]

Title: All-in-One: Machine Learning, Deep Learning, NLP, AWS Deployment [Hindi][Python] Description: Dive into the world of machine learning with our comprehensive course that covers everything from data science and NLP to deep learning and artificial intelligence. Offered in Hindi and utilizing Python, this course is ideal for those looking to exp.

Udemy

Paid Course

18 hours

On-Demand

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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!