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

Intro to Artificial General Intelligence (AGI): Future of AI

Welcome to "Intro to Artificial General Intelligence (AGI): Future of AI" - a comprehensive course designed to unlock the mysteries of the next frontier in artificial intelligence. Whether you're a tech enthusiast or completely new to the world of AI, this course is your gateway to understanding the profound impact AGI will have on our future..

Udemy

AI Fundamentals: Essential Guide to Artificial Intelligence

Udemy

Artificial Intelligence Intermediate: Exploring AI Types

Join our intermediate course to explore the vast world of Artificial Intelligence and its varied applications. Delve into the nuances of process automation and discover the innovations in Generative AI. This course offers insights into multiple AI types, enhancing your understanding and skills in this dynamic field. Provider: Udemy Cat.

Udemy

Artificial Intelligence IV - Reinforcement Learning in Java

Dive into the world of artificial intelligence with a focus on reinforcement learning using Java. This course covers essential topics such as Markov Decision processes, value- and policy-iteration, and the Q-learning approach. Join us on Udemy to enhance your understanding and skills in these cutting-edge technologies.

Udemy

Fundamentals of Responsible Artificial Intelligence/ML

Fundamentals of Responsible Artificial Intelligence/ML | Udemy Unlock the core principles of responsible AI and ML with our comprehensive course on Udemy. Dive into strategies for creating and sustaining AI models that emphasize the welfare of data subjects, offer transparency through explainable methods, uphold fairness by eliminating bias, an.

Udemy

Data Analytics and Artificial Intelligence for Beginners

Udemy

The Complete Artificial Intelligence for Cyber Security 2024

Explore the cutting-edge course, The Complete Artificial Intelligence for Cyber Security 2024, and unlock the potential of AI in the realm of cybersecurity. This comprehensive program, provided by Udemy, combines the disciplines of Data Science, Machine Learning, and Deep Learning to equip you with the skills needed to create powerful AI-driv.

Udemy

Artificial Intelligence for Simple Games

Unlock the potential of AI with our engaging course on Artificial Intelligence for Simple Games at Udemy. Dive into the world of Deep Reinforcement Learning by working with easy-to-understand game scenarios. In this course, you’ll gain hands-on experience with state-of-the-art AI tools and technologies. We cover a range of topics including Q.

Udemy

Machine Learning and Artificial Intelligence in Power BI

Machine Learning and Artificial Intelligence in Power BI | Udemy Course Join our comprehensive course on Udemy to explore the fusion of Machine Learning and Artificial Intelligence with Power BI. Guided by seasoned Power BI instructors, you will undertake hands-on projects that bolster your understanding and application of these advanced te.

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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!