Machine Learning courses

1335 Courses

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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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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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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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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Essential Concepts in AI

Essential Concepts in AI Discover the key components of AI and the role it plays within compliance, including its relationship with Regulatory Technology (RegTech). AI technologies are increasingly forming an indispensable part of the fabric of global business operations. This course offers learners a thorough understanding of foundational AI con.
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Intel® Solutions Pro – Principles of AI Everywhere

Intel® Solutions Pro – Principles of AI Everywhere AI is transforming how we work and live every day, and it is evolving rapidly. Intel is delivering a full spectrum of hardware and software platforms, offering open and modular solutions to expedite time-to-value in this era of exponential growth. Intel integrates AI seamlessly across its hardwar.
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Desarrollo de soluciones de IA generativa (Español LATAM) | Developing Generative Artificial Intelligence Solutions (LATAM Spanish)

Desarrollo de soluciones de IA generativa (Español LATAM) | Developing Generative Artificial Intelligence Solutions (LATAM Spanish) En este curso, explorará el ciclo de vida de las aplicaciones de inteligencia artificial generativa (IA generativa), que incluye lo siguiente: Definición de un caso práctico empresarial.
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Intel® Technical Pro – Principles of AI Software & Ecosystem

Intel® Technical Pro – Principles of AI Software & Ecosystem In the era of AI everywhere, businesses are reimagining every aspect of their operations, from finance to compliance, to see how AI can augment and automate workflows. Intel is helping businesses think differently about their enterprise AI strategies from the client to the edge to the.
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Developing Machine Learning Solutions (Vietnamese)

Developing Machine Learning Solutions (Vietnamese) Trong khóa học về máy học này, bạn sẽ tìm hiểu về vòng đời của máy học và cách sử dụng các dịch vụ AWS ở từng giai đoạn. Ngoài ra, bạn sẽ khám phá về các nguồn đa dạng cho các mô hình máy học cũng như tìm hiểu các kỹ thuật đánh giá hiệu suất của mô hình. Bạn cũng sẽ hiểu được tầm quan trọng của c.
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AWS ML Engineer Associate Curriculum Overview (Simplified Chinese)

AWS ML Engineer Associate Curriculum Overview (Simplified Chinese) 在这个 AWS ML Engineer Associate Curriculum 的入门课程中,您将回顾机器学习 (ML) 基础知识并研究 ML 和 AI 的演变。您将探索 ML 生命周期的初始步骤,确定业务目标并根据该业务目标制定 ML 问题。最后,您将了解 Amazon SageMaker,这是一项完全托管式 AWS 服务,可用于.
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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!