Machine Learning courses

1656 Courses

Udemy

Microsoft Applied Skills: Azure AI Document Intelligence

Microsoft Applied Skills: Azure AI Document Intelligence - APL-3002 Join the APL-3002 course, Microsoft Applied Skills: Azure AI Document Intelligence, and enhance your expertise in the world of AI-driven document processing. Offered by Udemy, this course empowers you to proficiently utilize the Azure portal, Python, and C# to pe.

Udemy

Introduction to AI and ChatGPT

Join our 'Introduction to AI and ChatGPT' course offered by Udemy to explore the exciting realm of Artificial Intelligence. This course covers a wide range of topics including Dell-E, Generative AI, Machine Learning, and Deep Learning. Get ahead in your career by developing skills in AI, gaining proficiency in ChatGPT, and prompt engineering.

Udemy

Mastering AWS Certified AI Practitioner AIF-C01 - Hands On!

Enroll Now Discover the path to AWS AIF-C01 Certification with Udemy's comprehensive prep course. Engage in hands-on practice tests, explore AI fundamentals, and learn how to utilize powerful tools such as Bedrock and SageMaker. Ideal for enthusiasts in Artificial Intelligence, this course also covers Machine Learning, Generative AI, MLOps, an.

Udemy

5 Days of Matlab, Simulink & SimScape + ChatGPT - New!

Enroll in the course on Udemy and transform your understanding of Matlab and simulation technologies.

Udemy

AI-900 Azure AI Fundamentals: Crash Course

Embark on the journey of mastering Microsoft Azure AI Services with our AI-900 Azure AI Fundamentals: Crash Course. Designed to help you ace the AI-900 certification exam, this course provides in-depth knowledge of Azure’s AI capabilities, opening the door to opportunities in the fields of Artificial Intelligence, Machine Learning, and Cloud.

Udemy

Prepare for the Salesforce AI Associate Certification

Udemy

Introduction to Machine Learning Models (AI) Testing

Provider: Udemy Artificial Intelligence Courses Machine Learning Courses Software Testing Courses Quality Assurance Courses Responsible AI Courses API Testing Courses Data Drift Courses

Udemy

Learn Hugging Face Bootcamp

Discover the remarkable world of open-source machine learning with the "Learn Hugging Face Bootcamp." Offered by Udemy, this comprehensive course allows you to explore the cutting-edge innovations of Hugging Face, including transformers, diffusers, and much more. Whether you're a budding enthusiast or a seasoned pro, this bootcamp is designe.

Udemy

Generative AI:Beginner to Pro with OpenAI & Azure OpenAI

Advance from beginner to pro in Generative AI with our comprehensive course featuring Gen-AI Basics, OpenAI, and Azure OpenAI. Learn everything from AI Search and RAG to Fine Tuning, Assistants API, and more. Hone your skills with ChatGPT, Code Interpreter, Function Calling, and File Search through this expertly designed course offered by Ude.

Udemy

The AI Engineer Course 2024: Complete AI Engineer Bootcamp

Unlock your potential with the 2024 AI Engineer Course offered by Udemy. This comprehensive bootcamp will guide you through mastering critical skills such as Python programming, Natural Language Processing (NLP), Transformers, Large Language Models (LLMs), LangChain, Hugging Face, and working with APIs. With categories spanning Artificial.

1 ... 105 106 107 108 109 ... 166

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!