Machine Learning courses

1795 Courses

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Introduction to AI and Machine Learning

Welcome to the Introduction to AI and Machine Learning Course! This course is the first course of the 3 courses specialization - AWS Certified AI Practitioner. A journey into the world of Artificial Intelligence (AI) and Machine Learning (ML) with AWS begins with this course. This is perfect start whether you are a beginner or want to brush up on y.
provider Coursera
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Big data analytics and smart rehabilitation

Course BackgroundBig data analysis and smart rehabilitation have become key trends in modern rehabilitation medicine. By leveraging advanced computing technologies, artificial intelligence (AI) algorithms, and Internet of Things (IoT) devices, healthcare professionals can assess patients’ functional status more accurately, optimize rehabilita.
provider XuetangX
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Generative AI in Finance

Course Description: This course provides a comprehensive exploration of Generative AI and its transformative impact on the financial sector. Learners will delve into foundational concepts, key AI models, and their applications across financial analysis, decision-making, forecasting, and compliance. With a focus on real-world case studies and hands-.
provider Coursera
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Introduction to Generative AI vs. Traditional ML

Understanding the difference between traditional machine learning and generative AI is crucial for making informed decisions about AI implementation. In this course, Introduction to Generative AI vs. Traditional ML, you’ll learn to evaluate, compare, and choose the best AI approach for your projects. First, you’ll explore the fundamentals of tradit.
provider Pluralsight
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Security Hot Takes: Confronting the AI Gold Rush

AI is accelerating changes across the cybersecurity landscape, creating both new vulnerabilities and new defenses. In this course, Security Hot Takes: Confronting the AI Gold Rush, you'll explore how artificial intelligence is rapidly reshaping the battlefield between hackers and defenders. From AI-driven attacks that hide in plain sight to next-le.
provider Pluralsight
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IA como Ferramenta de Aprendizagem e Pesquisa

O curso IA como Ferramenta de Aprendizagem e Pesquisa aborda uma visão abrangente sobre a IA, com enfoque especial na sua aplicação como ferramenta de aprendizagem e de pesquisa, preparando os estudantes para navegar e aproveitar as oportunidades que essa tecnologia revolucionária oferece.
provider FGV Educação Executiva
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AI and Machine Learning in Cybersecurity

Explore this fascinating field and develop the skills to leverage AI in your cybersecurity challenges. In this course, AI and Machine Learning in Cybersecurity, you’ll learn to use AI to leverage your cybersecurity skills. First, you’ll explore machine learning and anomaly detection. Next, you’ll discover AI cybersecurity strengths like ransomware,.
provider Pluralsight
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Enhancing Traditional ML with Generative AI

As AI evolves, professionals are challenged with understanding how emerging Generative AI capabilities can coexist with traditional machine learning approaches. In this course, Enhancing Traditional ML with Generative AI, you’ll learn when to use these technologies and how they compliment each other. First, you’ll explore the differences and synerg.
provider Pluralsight
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AIOps: CI/CD for AI Systems

DevOps is a concept that has been around a long time and has been applied to ML and, recently, LLMs. In this course, AIOps: CI/CD for AI Systems, you’ll learn to apply CI/CD, a fundamental concept of DevOps, to ML, AI, and LLMs. First, you’ll explore how CI/CD pipelines work with ML models. Next, you’ll discover how to deploy to cloud environments.
provider Pluralsight
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Q-Learning Unleashed: Building Intelligent Agents

In this course, we focus on building a Q-learning agent step by step. We start with the Bellman equation and the Q-table update, then implement a basic Q-learning function. Next, we incorporate an exploration policy (ε-greedy), and finally we demonstrate how to use the learned Q-table for decision making.
provider CodeSignal

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!