Machine Learning courses

1656 Courses

CourseHorse

AI & Machine Learning Bootcamp (Live Online)

The Fullstack Academy Artificial Intelligence & Machine Learning Bootcamp is an intensive part-time program designed for current and aspiring data professionals. Over 26 weeks, you'll master both practical and theoretical machine learning concepts using industry-standard tools. Gain proficiency in Python, Keras, and TensorFlow, and qualify fo.

CourseHorse

ChatGPT 5 Day Camp Private (Ages 11-18) (Live Online)

Experience an immersive educational adventure in the ChatGPT 5 Day Camp, specially crafted for ages 11-18. This online camp offers a comprehensive introduction to artificial intelligence and machine learning, alongside practical skills in building ChatBots. Day 1: Dive into Artificial Intelligence (AI) with an overview of machine learning al.

CourseHorse

Microsoft Azure AI Fundamentals (Live Online)

Delve into the essentials of artificial intelligence (AI) with our Microsoft Azure AI Fundamentals course. This online class provides a comprehensive introduction to AI concepts and the corresponding Azure services that support the creation of AI solutions. While it is not tailored to transform you into a data scientist or software develo.

Northeastern University

NLP in Engineering: Concepts & Real-World Applications

Join our comprehensive course, "NLP in Engineering: Concepts & Real-World Applications," offered by Northeastern University on Coursera. Dive into the world of Natural Language Processing and explore various techniques and their principles to address engineering problems. This course is tailored to focus on practical implementation skills acr.

CourseHorse

Data Science and Machine Learning Bootcamp (Live Online)

Prepare for a prosperous career in some of the tech industry's most lucrative fields with our intensive 16-week Data Science and Machine Learning Bootcamp, hosted live online. This comprehensive program equips you with advanced skills in Python, SQL, Looker (Google Data Studio), Streamlit, and statistics, empowering you to excel as a pro.

University of Michigan

AI for Design and Optimization

Artificial intelligence and machine learning are revolutionizing the way design processes are executed and optimizing strategies across various industries. The "AI for Design and Optimization" course equips you with the knowledge to leverage AI for enhancing your design and optimization capabilities. Master key skills to effectively utilize.

University of Michigan

AI for Mechanical Engineers

AI for Mechanical Engineers is designed to empower mechanical engineering professionals with cutting-edge AI methodologies applicable in various domains. Offered by the University of Michigan on Coursera, this course series prepares you to integrate AI technologies effectively, enabling transformation in design processes, autonomous sys.

Coursera

Introduction to Security in the World of AI

Artificial Intelligence (AI) holds immense potential to revolutionize various sectors, yet it also brings forth unique security challenges. Our comprehensive course empowers leaders in security and data protection to adeptly manage AI within their enterprises. Acquire a robust framework that facilitates the proactive identification and miti.

Coursera

Maximizing the Generative AI Value

Generative AI is transforming industries by automating creativity, optimizing processes, and fostering growth. This course, "Maximizing the Generative AI Value," empowers learners to leverage AI for innovative solutions and increased operational efficiency across various sectors. Studies show AI assists over 60% of daily tasks, enhancing outcom.

University of Michigan

AI for Autonomous Vehicles and Robotics

Immerse yourself in the transformative world where artificial intelligence meets autonomy in the course: AI for Autonomous Vehicles and Robotics. Offered by the University of Michigan, this course on Coursera provides a comprehensive journey into how machine learning algorithms are redefining autonomous systems. Explore the depths of supervis.

1 ... 24 25 26 27 28 ... 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!