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Machine Learning courses

1003 Courses

California Institute of Technology Coursera

GenAI and Model Selection

Did you know that mastering Generative AI (GenAI) and selecting the right models can significantly enhance your projects and organization? Learn how to leverage advanced AI technologies to make informed decisions and optimize your workflows. This short course empowers professionals to enhance their strategies using GenAI technologies. By comple.
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California Institute of Technology Udacity

AWS Machine Learning Engineer Nanodegree

AWS Machine Learning Engineer Nanodegree AWS Machine Learning Engineer Nanodegree The AWS Machine Learning Engineer (MLE) Nanodegree program aims to empower software developers and data scientists with essential data science and machine learning skills. This program emphasizes the construction and deployment of machine learning.
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California Institute of Technology Udacity

AI Engineer using Microsoft Azure

AI Engineer using Microsoft Azure | Udacity The AI Engineer using Microsoft Azure Nanodegree program will equip you with the skills required to become an Azure AI engineer or an AI engineer with expertise in Azure AI and machine learning services. This program will teach you how to implement machine learning models, design and.
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California Institute of Technology AWS Skill Builder

Exam Prep Official Practice Question Set: AWS Certified AI Practitioner (AIF-C01 - Simplified Chinese)

Exam Prep Official Practice Question Set: AWS Certified AI Practitioner (AIF-C01 - Simplified Chinese) Exam Prep Official Practice Question Set: AWS Certified AI Practitioner (AIF-C01 - Simplified Chinese) 包括 20 个问题。此问题集与 AIF-C01 版本的考试和考试指南是一致的。 关于 AWS Certification Official Practice Question Sets AWS Certification Of.
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California Institute of Technology AWS Skill Builder

Conjunto de preguntas de prueba oficial de preparación para el examen: AWS Certified AI Practitioner (AIF-C01 - Português) | Exam Prep Official Practice Question Set: AWS Certified AI Practitioner (AIF-C01 - Portuguese)

Conjunto de perguntas de prueba oficial de preparación para el examen: AWS Certified AI Practitioner (AIF-C01 - Português) | Exam Prep Official Practice Question Set: AWS Certified AI Practitioner (AIF-C01 - Portuguese) O Conjunto de preguntas de prueba oficial de preparação para el examen: AWS Certified AI Practitioner (AIF-C01 - Português (Bra.
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California Institute of Technology AWS Skill Builder

Exam Prep Official Practice Question Set: AWS Certified AI Practitioner (AIF-C01 - Korean)

Exam Prep Official Practice Question Set: AWS Certified AI Practitioner (AIF-C01 - Korean) Exam Prep Official Practice Question Set: AWS Certified AI Practitioner (AIF-C01 - Korean) 에는 20개의 문항이 포함되어 있습니다. 이 문항 세트는 AIF-C01 버전의 시험 및 시험 안내서를 따릅니다. AWS Certification Official Practice Question Sets 소개 AWS Certific.
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California Institute of Technology AWS Skill Builder

Exam Prep Official Practice Question Set: AWS Certified AI Practitioner (AIF-C01 - Japanese)

Exam Prep Official Practice Question Set: AWS Certified AI Practitioner (AIF-C01 - Japanese) Exam Prep Official Practice Question Set: AWS Certified AI Practitioner (AIF-C01 - Japanese) の問題数は 20 問です。この問題セットは、AIF-C01バージョンの試験および試験ガイドに対応しています。 AWS Certification Official Practice Question Sets AWS Certifi.
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California Institute of Technology AWS Skill Builder

Security, Compliance, and Governance for AI Solutions (Vietnamese)

Security, Compliance, and Governance for AI Solutions (Vietnamese) Khóa học này sẽ giúp bạn hiểu một số vấn đề phổ biến xoay quanh khía cạnh bảo mật, tuân thủ và quản trị liên quan đến các giải pháp trí tuệ nhân tạo (AI). Bạn sẽ tìm hiểu cách nhận biết yêu cầu quản trị và tuân thủ đối với các hệ thống AI. Bạn cũng sẽ tìm hiểu về các dịch vụ và tí.
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California Institute of Technology University of Naples Federico II

Interpretable Machine Learning

Interpretable Machine Learning As Artificial Intelligence (AI) becomes integrated into high-risk domains like healthcare, finance, and criminal justice, it is critical that those responsible for building these systems think outside the black box and develop systems that are not only accurate, but also transparent and trustworthy. This course is a.
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California Institute of Technology University of Naples Federico II

Developing Explainable AI (XAI)

Developing Explainable AI (XAI) As Artificial Intelligence (AI) becomes integrated into high-risk domains like healthcare, finance, and criminal justice, it is critical that those responsible for building these systems think outside the black box and develop systems that are not only accurate, but also transparent and trustworthy. This course pro.
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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!