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Machine Learning courses

1003 Courses

California Institute of Technology Coursera

Generative AI for Data Science with Copilot

Generative AI for Data Science with Copilot This course provides a comprehensive introduction to Generative AI in data science. You'll explore the foundational concepts of generative AI, including GANs, VAEs, and Transformers, and discover how Microsoft Copilot leverages these models to streamline data science workflows. You'll gain hands-on exp.
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California Institute of Technology Coursera

Intel® Solutions Pro – AI in the Cloud

Intel® Solutions Pro – AI in the Cloud Take a deep technical dive into AI workloads in the cloud. Gain insights on many AI topics, including AI pipelines, benchmarking AI performance, instance selection for AI workloads, and Federated Learning as well as hands-on experience through online labs. University: University Provider: Coursera Categor.
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California Institute of Technology Coursera

Generative AI Engineering with LLMs

Generative AI Engineering with LLMs The Generative AI (Gen AI) market is anticipated to grow by 46% yearly until 2030 (Source: Statista). As a result, Gen AI engineers are in high demand. This program equips aspiring data scientists, machine learning engineers, and AI developers with vital skills in Gen AI, large language models (LLMs), and natu.
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California Institute of Technology AWS Skill Builder

Exploring Artificial Intelligence Use Cases and Applications (Thai)

Exploring Artificial Intelligence Use Cases and Applications (Thai) ในหลักสูตรนี้ คุณจะได้ศึกษากรณีใช้งานในสถานการณ์จริงว่าด้วยการนำปัญญาประดิษฐ์ (AI), แมชชีนเลิร์นนิง (ML) และปัญญาประดิษฐ์ช่วยสร้าง (AI ช่วยสร้าง) ไปใช้ในอุตสาหกรรมต่างๆ อาทิ อุตสาหกรรมการดูแลสุขภาพ การเงิน การตลาด ความบันเทิง และอื่นๆ อีกมากมาย นอกจากนี้คุณยังจะได้เรียนรู้เกี่ยวกั.
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California Institute of Technology AWS Skill Builder

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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California Institute of Technology AWS Skill Builder

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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California Institute of Technology Coursera

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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California Institute of Technology AWS Skill Builder

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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California Institute of Technology Coursera

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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California Institute of Technology edX

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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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!