Machine Learning courses

1795 Courses

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IA como Ferramenta de Aprendizagem e Pesquisa

O curso IA como Ferramenta de Aprendizagem e Pesquisa é uma oportunidade essencial para entender o potencial da Inteligência Artificial na educação e na investigação científica. Com ênfase na aplicação prática, estudantes desenvolverão habilidades para explorar e aplicar a IA de maneira efetiva no estudo e na pesquisa. Oferecido pela FGV Educaç.
provider FGV Educação Executiva
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AI and Machine Learning in Cybersecurity

Embark on a transformative journey with our course, "AI and Machine Learning in Cybersecurity." Designed to empower you with essential skills, this course will deepen your understanding of how AI can be leveraged to tackle cybersecurity challenges effectively. In this course, you will: Explore critical aspects of machine learning and anoma.
provider Pluralsight
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Enhancing Traditional ML with Generative AI

In the rapidly evolving field of artificial intelligence, understanding the interplay between emerging Generative AI capabilities and traditional machine learning approaches is pivotal. The Enhancing Traditional ML with Generative AI course by Pluralsight equips you with the expertise to leverage these technologies effectively. This.
provider Pluralsight
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Introduction to Generative AI vs. Traditional ML

In the course, "Introduction to Generative AI vs. Traditional ML," you'll gain the knowledge to evaluate, compare, and select the ideal AI strategy for your projects. Begin by exploring the basics of traditional machine learning, covering supervised, unsupervised, and reinforcement learning techniques. Progress to understanding the mechanics.
provider Pluralsight
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AWS Certified Machine Learning Engineer - Associate (MLA-C01): ML Model Development

Join the AWS Certified Machine Learning Engineer - Associate (MLA-C01): ML Model Development course and enhance your ability to utilize AWS's extensive range of machine learning services to solve complex problems efficiently. This course provided by Pluralsight is designed to equip you with crucial skills and knowledge for handling machine learn.
provider Pluralsight
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AIOps: CI/CD for AI Systems

DevOps has been a longstanding concept, now extended to Machine Learning (ML) and Language Learning Models (LLMs). Discover the essential principles of CI/CD—a cornerstone of DevOps—in the AIOps: CI/CD for AI Systems course. This program guides you through integrating CI/CD pipelines with ML models, deploying them to cloud platforms, and cond.
provider Pluralsight
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AWS AI Practitioner

Embark on your journey to build a solid foundation in Artificial Intelligence (AI) and Machine Learning (ML) with the AWS AI Practitioner Specialization. Designed for enthusiasts looking to leverage AWS cloud services, this specialization aligns with the AWS AI Practitioner Certification exam, ensuring a holistic understanding of AI concepts, g.
provider Coursera
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Q-Learning Unleashed: Building Intelligent Agents

Unlock the power of Q-learning with this comprehensive course titled "Q-Learning Unleashed: Building Intelligent Agents" offered by CodeSignal. Dive into the world of reinforcement learning, starting with the foundational Bellman equation followed by practical insights on Q-table updates. Implement a basic Q-learning function and enhance it wi.
provider CodeSignal
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Azure AI Services: Core applications

"Core Applications of Azure AI Services" is an introductory course designed to familiarize users with the practical application of Microsoft's Azure AI services in various real-world scenarios. It aims to bridge the gap between theoretical AI concepts and their actual implementation. You will learn how Azure AI services are utilized to solve.
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!