Machine Learning courses

1795 Courses

Emerging Technologies for Business and Society

Delve into the world of emerging technologies that have reshaped business models and environments over the last thirty years. Learn how technologies such as Artificial Intelligence, Machine Learning, Cloud Computing, and the Internet of Things are revolutionizing business decision-making and enhancing customer experiences with unparalleled se.
provider Swayam
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ChatGLM大模型应用构建和指令工程

Embark on a transformative journey into the world of artificial intelligence with the "ChatGLM大模型应用构建和指令工程" event. Engage in an insightful live discussion focused on the groundbreaking potential of ChatGPT and its role in ushering a new AI paradigm. Delve into the nuances of how this technology could shape the future landscape of.
provider XuetangX
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Geliştiriciler İçin Sorumlu Yapay Zeka

Bu uzmanlık kursu, geliştiricilere sorumlu yapay zeka sistemleri inşa etmek için gerekli bilgi ve becerileri kazandırmayı amaçlamaktadır. Fairness, Interpretability, Transparency, Privacy ve Safety'nin önemli ilkelerini öğrenin ve AI sistemlerinizi etik, güvenilir ve kullanıcılar için faydalı kılmak için pratik beceriler kazanın. Önyargıyı.
provider Coursera
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Generative AI Foundations: Generative AI in Action

Generative AI Foundations: Generative AI in Action Advance your AI knowledge with the course "Generative AI Foundations: Generative AI in Action." Move beyond the basics of GenAI chatbot interactions and delve into practical, real-world applications. Learn how to utilize Generative AI Agents and Retrieval-Augmented Generation (RAG) to implement.
provider Pluralsight
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AWS Certified AI Practitioner (AIF-C01): Fundamentals of AI and ML

Embark on a journey through the transformative world of Artificial Intelligence and Machine Learning with the AWS Certified AI Practitioner (AIF-C01): Fundamentals of AI and ML course. This comprehensive program will equip you with the foundational knowledge required to excel in the AWS Certified AI Practitioner exam. Core Concepts and Found.
provider Pluralsight
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Data Science For Business Professionals

In today’s fast-paced digital economy, data is at the heart of every decision, making Data Science one of the most in-demand fields. Whether you are looking to enter the field of Data Science, improve your business analysis skills, or apply Machine Learning techniques to solve business challenges, this course will provide you with the essential.
provider edX
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GitHub responsible AI

Module 1: Introduction to AI Workloads and Azure AI Services. Explore Microsoft's Responsible AI policies and learn about AI solutions and practices for ethical AI. Module 2: Using Azure AI Face. Gain skills in detecting and analyzing faces using Azure AI Face service. Module 3: Foundations of Generative AI. Understand large language mo.
provider Microsoft Learn
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Digital Classroom - Practical Data Science with Amazon SageMaker

Artificial intelligence and machine learning (AI/ML) are now widespread, and this course immerses students in the daily life of a data scientist. You'll collaborate effectively with data scientists and develop applications that integrate with ML. Learn how data scientists create ML solutions on Amazon Web Services (AWS) using Amazon SageMaker. Expe.
provider AWS Skill Builder
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IBM Generative AI Engineering

Embark on a transformative learning journey with the IBM Generative AI Engineering Professional Certificate, an opportunity tailor-made for aspiring generative AI engineers, AI developers, data scientists, machine learning engineers, and AI research engineers. With the generative AI market poised for a significant growth of over 46% CAGR until.
provider Coursera

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!