Machine Learning courses

1003 Courses

ChatGPT and Large Language Models (LLMs): A Practical Guide

ChatGPT and Large Language Models (LLMs): A Practical Guide Learn how ChatGPT actually works! This course will get you up to speed on how LLMs work under the hood including topics like Prompt Design, Fine-Tuning, and more. Categories: Artificial Intelligence Courses, Machine Learning Courses, ChatGPT Courses, Fine-Tuning Courses
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Introduction to ChatGPT Code Interpreter

Introduction to ChatGPT Code Interpreter Unlock the potential of ChatGPT's Code Interpreter tool in this concise course. Delve into aspects of data analysis and machine learning using practical, real-world data. Gain hands-on experience and enhance your coding skills with one of the most advanced AI tools available. Categories: Python Courses, M.
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L'intelligence artificielle générative et moi

L'intelligence artificielle générative et moi Voici un mini MOOC pour vous former rapidement à l’IA générative dans votre quotidien. Il s’agira de comprendre comment elle transforme notre vie de tous les jours, nos métiers et nos compétences. Université: France Université Numerique Catégories: Cours d'Intelligence Artificielle, Cours de Machine.
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Artificial Intelligence in Cybersecurity

Artificial Intelligence in Cybersecurity | Zero To Mastery Dive into the vital intersection of artificial intelligence and cybersecurity with this comprehensive course. Understand the vulnerabilities and security challenges associated with Large Language Models (LLMs) and machine learning. Offered by Zero To Mastery University, this course is id.
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GenAI for Sales Teams

GenAI for Sales Teams Generative Artificial Intelligence (GenAI) is transforming the sales process, providing sales teams with innovative tools to enhance productivity, efficiency, and overall impact. By utilizing advanced language models and AI-driven capabilities, sales professionals can optimize workflows, tailor customer engagements, and gain.
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GenAI for DevOps Practitioners

As part of the GenAI Academy, "GenAI for DevOps Practitioners" is an in-depth course exploring the transformative effects of Generative Artificial Intelligence (GenAI) on DevOps. This primer helps learners discover key GenAI capabilities while providing practical strategies for adopting these powerful tools in everyday DevOps tasks. Through.
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Developing Generative Artificial Intelligence Solutions (Vietnamese)

Developing Generative Artificial Intelligence Solutions (Vietnamese) Trong khóa học này, bạn sẽ khám phá vòng đời của ứng dụng trí tuệ nhân tạo tạo sinh (AI tạo sinh), bao gồm: Xác định trường hợp sử dụng trong kinh doanh Chọn mô hình nền tảng (FM) Cải thiện hiệu suất của FM Đánh giá hiệu suất của FM Triển khai và tác động của việc triể.
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Exploring Artificial Intelligence Use Cases and Applications (Vietnamese)

Exploring Artificial Intelligence Use Cases and Applications (Vietnamese) Trong khóa học này, bạn sẽ khám phá các trường hợp sử dụng trí tuệ nhân tạo (AI), máy học (ML) và trí tuệ nhân tạo tạo sinh (AI tạo sinh) trong thực tế ở nhiều ngành khác nhau. Các lĩnh vực này bao gồm y tế, tài chính, tiếp thị, giải trí, v.v. Bạn cũng sẽ tìm hiểu về khả n.
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Introduction to Microsoft Copilot

Introduction to Microsoft Copilot In this introductory course, you'll embark on a journey into the world of generative AI and Microsoft Copilot. We'll demystify the concepts behind this transformative technology, exploring its potential and limitations. You'll gain a clear understanding of what generative AI is, how it works,.
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Introduction to Generative AI for Developers With Copilot

Introduction to Generative AI for Developers With Copilot This course introduces developers to generative AI technologies, focusing on their practical applications in software development. You will explore the core concepts of generative AI and understand the basic functionalities and ethical considerations of gener.
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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!