Sign in Sign up

Machine Learning courses

1795 Courses

course image
California Institute of Technology Coursera

GenAI for Risk Managers: Advanced Risk Analysis Techniques

Discover how Generative AI can elevate your risk analysis techniques through our specialized course. This program provides an in-depth exploration of how AI enhances risk detection, automates monitoring, and improves decision-making. Engage with real-world case studies and hands-on projects designed to equip you with AI-driven strategies tail.
provider Coursera
course image
California Institute of Technology Coursera

GenAI for Financial Analysts: Essential Predictive Analytics

Embark on an enriching journey with our course on GenAI for Financial Analysts, where we delve into how Generative AI is revolutionizing financial forecasting, portfolio optimization, risk management, and reporting automation. Explore the transformation that top institutions such as investment banks, hedge funds, and fintech innovators are un.
provider Coursera
course image
California Institute of Technology Northeastern University

Responsible AI for Mental Health

Embark on an educational journey to unlock the potential of AI in mental health care while addressing the ethical dilemmas that are pivotal to the field today. This course offers an in-depth exploration of pressing issues like bias, misinformation, privacy, and patient safety as they relate to AI's integration into mental health. Dive into.
provider Coursera
course image
California Institute of Technology ESSEC Business School

Advancing Dairy Management with Artificial Intelligence

Explore Online Programs at the College of ACES Join the "Advancing Dairy Management with Artificial Intelligence" course and immerse yourself in the transformative potential of AI in dairy systems. Led by Dr. Isabella Condotta, you'll master the fundamentals of AI, focusing on its integration into dairy analytics, ranging from production data t.
provider Coursera
course image
California Institute of Technology Harvard University

Data Science and Machine Learning

Interested in a career in data science and machine learning but unsure where to begin? Harvard University, through edX, presents a comprehensive certificate program designed to equip you with essential knowledge and skills in this thriving field. The demand for machine learning and artificial intelligence experts is rapidly increasing, driven by.
provider edX
course image
California Institute of Technology Harvard University

Python for Data Science and Machine Learning

Have you thought about a career in data science and machine learning but didn’t know where to start? The demand for professionals in the machine learning (ML) and artificial intelligence (AI) space is growing exponentially. With the ever-changing data science landscape, companies are increasingly adopting these tools, driving the continuous.
provider edX
course image
California Institute of Technology Coursera

Machine Learning on Google Cloud

Explore the world of machine learning on Google Cloud and uncover the types of problems it can efficiently solve. This course is designed to teach you how to build Vertex AI AutoML models effortlessly, without any coding. You will also learn to construct BigQuery ML models using basic SQL skills, create Vertex AI custom training jobs via contai.
provider Coursera
course image
California Institute of Technology edX

Artificial Intelligence & Machine Learning in Healthcare

Explore the transformative impact of Artificial Intelligence (AI) and Machine Learning (ML) in healthcare through this comprehensive two-course MicroMasters program. Discover how AI and ML can enhance clinical and operational decision-making processes. Begin with a foundation in AI and ML fundamentals, focusing on improving healthcare decisions.
provider edX
course image
California Institute of Technology AWS Skill Builder

Automating with AI/ML for Small Business Owners

This course has been crafted by AWS Technical Field Communities (TFC), comprised of technical experts from AWS. The content complements our standard training curriculum to enhance your AWS learning experience. This program offers small business owners a comprehensive introduction to generative artificial intelligence (AI). Participants will delve.
provider AWS Skill Builder
course image
California Institute of Technology edX

Generative AI Engineering

The generative AI market is on track to grow at an impressive 46% CAGR until 2030, according to Statista. With the demand for professionals skilled in generative AI engineering skyrocketing, this Generative AI Engineering Professional Certificate is perfect for aspiring generative AI engineers, AI developers, data scientists, machine learning engin.
provider edX

More and more products are now being developed using artificial intelligence. To avoid being left on the sidelines of progress, managers must understand how the robot’s “brains” work

Artificial intelligence (AI) and machine learning technologies have been used for many years, but now the intensity of their use has increased significantly. For example, machine learning is being actively implemented in telecommunications, retail, marketing and e-commerce. But many still do not fully understand what it is.

Machine learning involves the system processing a large number of examples, during which it identifies patterns and uses them to predict the characteristics of new data. In other words, this is the process of giving AI ml courses “consciousness”, the ability to remember and analyze.

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:

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:

  1. Basic knowledge of programming languages such as Python, R, Java, JavaScript, etc.

  2. Average knowledge of statistics and probability.

  3. 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.

  4. Understanding Calculus.

  5. 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!