Machine Learning courses

1334 Courses

Explainable AI in Python

Enhance your understanding of Explainable AI with this comprehensive course offered by DataCamp. Designed for data scientists and machine learning practitioners, you'll gain expertise in using Python's Scikit-learn, SHAP, and LIME to interpret and visualize AI model behaviors. Why is Explainable AI crucial? Transparent, accountable, and t.
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Data Show and Tell: Public Sentiment and Topic Modeling Analyses on X about Climate Change

Public opinion on climate policies is both complex and dynamic. "Data Show and Tell: Public Sentiment and Topic Modeling Analyses on X about Climate Change" is an innovative course designed to provide you with the tools to navigate this complexity. Learn how to use big data and state-of-the-art NLP techniques to extract meaningful insights fr.
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Advanced AI and Machine Learning Techniques and Capstone

Join our Advanced AI and Machine Learning Techniques and Capstone course to explore high-level AI & ML strategies. This course culminates in a capstone project where you'll utilize comprehensive skills to tackle a real-world challenge. Throughout, you'll encounter state-of-the-art machine learning methods and delve into the ethical consider.
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IBM AI Engineering

Coursera AI technology is anticipated to expand by 37.3% by the year 2030, according to Forbes. The IBM AI Engineering Professional Certificate, offered through Coursera, equips data scientists, machine learning engineers, software engineers, and technical specialists with skills to excel as AI engineers. Throughout the program, participa.
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AI and Machine Learning Algorithms and Techniques

Delve into the essential algorithms and methodologies at the heart of AI and Machine Learning with this in-depth course. Discover how pre-trained large-language models (LLMs) and various learning paradigms like supervised, unsupervised, and reinforcement learning come together to solve complex business challenges. Gain hands-on experience in.
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Building Intelligent Troubleshooting Agents

Join our "Building Intelligent Troubleshooting Agents" course, where you'll explore the cutting-edge design and implementation of AI-driven solutions. This comprehensive course empowers you with the skills to create agents capable of diagnosing and resolving problems without human intervention. You will delve into topics like natural language.
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AI for Lawyers: Obstacles and Opportunities

Delve into the complex world where artificial intelligence intersects with the legal profession. The course "AI for Lawyers: Obstacles and Opportunities" offers a comprehensive exploration of the unique challenges and exciting opportunities that AI brings to lawyers and other advocates. Gain insights into the potential pitfalls associated with.
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Microsoft AI & ML Engineering

Join the Microsoft AI & ML Engineering program, a detailed curriculum designed to equip you with essential skills and deep understanding in the flourishing fields of Artificial Intelligence and Machine Learning. Across five courses, this program covers foundational concepts to advanced topics, offering practical skills and hands-on experience i.
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Building AI and Sustainability Solutions on SAP BTP

Discover how SAP addresses sustainability goals by enabling customers to evolve into intelligent, sustainable enterprises. The SAP Business Technology Platform (BTP) serves as a robust foundation for developing applications, integrating solutions, managing data, deploying analytics, and leveraging AI. SAP's commitment to sustainability is exempl.

Fundamentos de la ingeniería de peticiones (Español LATAM) | Foundations of Prompt Engineering (LATAM Spanish)

En este curso, aprenderá los principios, las técnicas y las prácticas recomendadas para diseñar peticiones eficaces. Este curso presenta los conceptos básicos de la ingeniería de peticiones y sigue hasta llegar a las técnicas de peticiones avanzadas. También aprenderá a protegerse contra el uso indebido inmediato y a mitigar la interacción con lo.
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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!