Machine Learning courses

1656 Courses

Pluralsight

Microsoft Azure Cognitive Services: The Big Picture

Discover the ease of developing intelligent applications with Microsoft Azure Cognitive Services. This course, "Microsoft Azure Cognitive Services: The Big Picture," offers a comprehensive overview of why and how these services are essential for building advanced applications. Embark on a learning journey that begins with understanding the.

Microsoft Learn

AI Fluency

Module 1: Discover the history and foundational concepts of artificial intelligence. Learn how AI impacts daily life and evaluate AI, machine learning, and deep learning concepts, algorithms, and historical milestones. Module 2: Understand generative AI fundamentals and their effect on creativity and productivity. Distinguish between NL.

Udemy

Natural Language Processing (NLP) in Python with 8 Projects

Embark on a comprehensive journey to master Natural Language Processing (NLP) using Python by working on 8 diverse projects. This Udemy course offers a deep dive into the realms of NLP, machine learning, and deep learning, equipping you with practical skills and knowledge. Throughout the course, you will integrate Python with cutting-edge NL.

Udemy

Data Science : Master Machine Learning Without Coding

Udemy Delve into the essentials of Data Science and Machine Learning, utilizing Rapidminer to master the concepts without any coding requirements. Perfect for those eager to understand the core principles and apply them easily with the tools provided. This course includes comprehensive datasets and solutions to enhance your learning experience..

Udemy

Linear Algebra for AI - Generative AI

Udemy

10 Days of No Code Artificial Intelligence Bootcamp

Embark on a transformative journey to demystify artificial intelligence with our '10 Days of No Code Artificial Intelligence Bootcamp' on Udemy. This unique course empowers you to create 10 innovative AI projects over ten days without writing a single line of code. Leverage cutting-edge tools such as Google Teachable Machines, DataRobot, AWS.

Udemy

The Complete Healthcare Artificial Intelligence Course 2024

The Complete Healthcare Artificial Intelligence Course 2024 | Udemy Immerse yourself in the world of healthcare artificial intelligence with our comprehensive course. Learn to develop robust AI models to tackle real healthcare challenges by leveraging the power of data science, machine learning, and deep learning. This course, offered by Udemy.

Udemy

Data Science for Business Leaders: ML Fundamentals

Delve into "Data Science for Business Leaders: ML Fundamentals," a transformative course offered by Udemy that demystifies machine learning and artificial intelligence for business leaders. This no-code program is designed to empower leaders to comprehend and leverage AI as a strategic business tool, enhancing decision-making and innovati.

Udemy

Calculus -for Generative AI ,Data Science & Machine Learning

Unlock the power of calculus for a deeper understanding of artificial intelligence, deep learning, machine learning, and data science. This comprehensive course offered by Udemy is designed to provide you with the essential mathematical foundation needed in these cutting-edge fields. Through hands-on experience, you will master key calculus.

Udemy

Machine Learning Optimization Using Genetic Algorithm

Machine Learning Optimization Using Genetic Algorithm Course - Udemy Unlock the potential of Machine Learning by mastering the techniques of optimization through Genetic Algorithms. This comprehensive course offered by Udemy dives into the intricacies of enhancing Machine Learning algorithms' performances and applying.

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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!