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Machine Learning courses

1656 Courses

California Institute of Technology AWS Skill Builder

Developing Generative Artificial Intelligence Solutions (Indonesian)

Developing Generative Artificial Intelligence Solutions (Indonesian) Dalam kursus ini, Anda akan menjelajahi siklus hidup aplikasi kecerdasan buatan generatif (AI generatif), yang meliputi hal-hal berikut: Mendefinisikan kasus penggunaan bisnis Memilih model fondasi (FM) Meningkatkan kinerja FM Mengevaluasi kinerja FM Penggunaan dan da.
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California Institute of Technology Coursera

Computer Vision: YOLO Custom Object Detection with Colab GPU

Computer Vision: YOLO Custom Object Detection with Colab GPU In this comprehensive course, you'll dive into the world of real-time object detection with YOLO, one of the most powerful algorithms for detecting objects in images and videos. The course begins with an introduction to YOLO and object detection, followed by setting up your development.
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California Institute of Technology AWS Skill Builder

Exploring Artificial Intelligence Use Cases and Applications (Indonesian)

Exploring Artificial Intelligence Use Cases and Applications (Indonesian) Dalam kursus ini, Anda akan menjelajahi kasus penggunaan kecerdasan buatan (AI), machine learning (ML), dan kecerdasan buatan generatif (AI generatif) di dunia nyata di berbagai industri. Area-area ini meliputi pelayanan kesehatan, keuangan, marketing, hiburan, dan banyak l.
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California Institute of Technology AWS Skill Builder

Optimizing Foundation Models (Thai)

ในหลักสูตรนี้ คุณจะได้สำรวจเทคนิคในการปรับปรุงประสิทธิภาพของโมเดลพื้นฐาน (FM) สองประการ ได้แก่ Retrieval Augmented Generation (RAG) และการปรับละเอียด คุณจะได้เรียนรู้เกี่ยวกับบริการ Amazon Web Services (AWS) ที่ช่วยจัดเก็บการฝังข้อมูลด้วยฐานข้อมูลเวกเตอร์, บทบาทของเอเจนต์ในการทำงานหลายขั้นตอน, กำหนดวิธีการปรับแต่ง FM อย่างละเอียด, วิธีเตรียมข้อม.
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California Institute of Technology AWS Skill Builder

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

Security, Compliance, and Governance for AI Solutions (Thai) หลักสูตรนี้ช่วยให้คุณเข้าใจปัญหาทั่วไปบางส่วนเกี่ยวกับการรักษาความปลอดภัย การปฏิบัติตามข้อกำหนด และการกำกับดูแลที่เกี่ยวเนื่องกับโซลูชันปัญญาประดิษฐ์ (AI) คุณจะได้เรียนรู้วิธีการจดจำข้อกำหนดด้านการกำกับดูแลและการปฏิบัติตามข้อกำหนดสำหรับระบบ AI รวมถึงบริการและฟีเจอร์ของ Amazon Web Servic.
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California Institute of Technology Microsoft Learn

APL-7004: Implement AI models with Microsoft Power Platform AI Builder

Module 1: Discover Document Automation Benefits Streamline your workflow by understanding scenarios and accomplishments in document automation. Module 2: Fundamentals of AI Builder's Document Processing Learn integration with Power Apps and how automating document processing can save time. Create and use document pro.
California Institute of Technology Coursera

Certificado: Google Cloud Digital Leader

Conviértete en un líder digital certificado con la capacitación de Google Cloud Digital Leader. Este programa ofrece una serie de seis cursos estructurados para proporcionarte un conocimiento esencial sobre las tecnologías en la nube y el manejo de datos. Explora los productos y servicios de Google Cloud que habilitan la transformación digital.
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California Institute of Technology Coursera

Üretken Yapay Zekaya Giriş

Üretken yapay zekaya giriş yaparak bu heyecan verici ve hızla gelişen alan hakkında temel bilgileri edinin. Kurs, üretken yapay zekanın ne olduğunu, nasıl işlediğini ve geleneksel makine öğrenim yöntemlerinden nasıl farklı olduğunu açıklamayı hedefliyor. Öğrenme sürecinizde size rehberlik etmek için Google'ın güçlü araçlarını tanıyacak ve uy.
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California Institute of Technology AWS Skill Builder

AWS Flash - AWS AI/ML Essentials (GCR Only)

This targeted course is designed for technicians aiming to pass the AWS Certified AI Practitioner (AIF-C01) exam, helping you understand the exam process and key topics. Enhance your mastery of essential AI and ML knowledge, and become familiar with exam formats and difficulty through sample questions. Levels: Intermediate Teaching method.
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California Institute of Technology Pluralsight

Everything You Need to Know about the AWS Certified Machine Learning Engineer - Associate Exam

All You Need for the AWS Certified Machine Learning Engineer - Associate Exam AWS Machine Learning Learning Path AWS Machine Learning/AI Learning Path Join Senior Cloud Author David Blocher as he guides you through the AWS Certified Machine Learning Engineer - Associate exam. Gain insight into the exam's structure, delve into key topics, and l.
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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!