Machine Learning courses

1003 Courses

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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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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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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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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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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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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Work with Gemini Models in BigQuery - Español

Trabaja con Modelos de Gemini en BigQuery - Español En este curso, se muestra cómo usar modelos de IA/AA para tareas de IA generativa en BigQuery. A través de un caso de uso práctico relacionado con la administración de relaciones con clientes, conocerás el flujo de trabajo para solucionar un problema empresarial con modelos de Gemini. Para fac.
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Work with Gemini Models in BigQuery - 日本語版

Gemini モデルを使用した BigQuery 作業 - 日本語版 このコースでは、BigQueryで生成型AI作業にAI/MLモデルを使用する方法を紹介します。顧客関係管理に関連する実際の使用事例を通じて、Geminiモデルを使用してビジネス問題を解決するワークフローを解説します。理解を深めるために、SQLクエリとPythonノートブックを使用したコードソリューションを詳細に案内します。
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Work with Gemini Models in BigQuery - 简体中文

Work with Gemini Models in BigQuery - 简体中文 이 과정은 BigQuery에서 생성형 AI 작업에 AI/ML 모델을 사용하는 방법을 보여줍니다. 고객 관계 관리와 관련된 실제 사용 사례를 통해 Gemini 모델로 비즈니스 문제를 해결하는 워크플로를 설명합니다. 이해를 돕기 위해 SQL 쿼리와 Python 노트북을 사용하는 코딩 솔루션을 단계별로 안내합니다. University: Provider:.
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AWS Machine Learning Engineer Nanodegree

AWS Machine Learning Engineer Nanodegree The AWS Machine Learning Engineer (MLE) Nanodegree program aims to equip software developers and data scientists with essential data science and machine learning skills. Learn to build and deploy machine learning models in production using Amazon SageMaker. This comprehensive course focuses on the latest bes.
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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!