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Machine Learning courses

1334 Courses

California Institute of Technology CodeSignal

Neural Networks Basics from Scratch

Embark on an in-depth exploration of Neural Networks and their pivotal role in modern AI with our comprehensive course. Gain hands-on experience by manually implementing foundational AI tools such as Perceptrons, activation functions, and the integral components of multi-layer Neural Networks. Delve into the core mechanisms without relying o.
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California Institute of Technology

Understanding LLMs and Basic Prompting Techniques

Join our comprehensive course, "Understanding LLMs and Basic Prompting Techniques," designed to equip learners with essential knowledge about Large Language Models (LLMs) and the art of crafting effective prompts. Uncover the mechanisms behind popular models such as GPT-3.5, GPT-4, LLaMA, and Claude 2, and learn how they generate coherent text.
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California Institute of Technology AWS Skill Builder

Simulado oficial de recursos para exames : AWS Certified AI Practitioner (AIF-C01 - Português (Brasil)) | Exam Prep Official Pretest: AWS Certified AI Practitioner (AIF-C01 - Portuguese (Brazil))

Prepare-se para o AWS Certified AI Practitioner (AIF-C01), em Português (Brasil), com um simulado oficial que contém 65 perguntas a serem respondidas em 90 minutos. Este pré-teste reflete a versão do exame AIF-C01, seguindo rigorosamente o guia do exame. Sobre os pré-testes AWS Certification Aumente sua confiança para o dia do exame com um pré-te.
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California Institute of Technology AWS Skill Builder

Exam Prep Official Pretest: AWS Certified AI Practitioner (AIF-C01 - Simplified Chinese)

Exam Prep Official Pretest: AWS Certified AI Practitioner (AIF-C01 - Simplified Chinese) offers 65 questions with a 90-minute limit. This pretest aligns with the AIF-C01 exam version and guide. About AWS Certification Pretest Utilize the full-length official pretest crafted by AWS experts to approach test day with confidence. By participating.
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California Institute of Technology SAP Learning

Generative AI at SAP

Discover how artificial intelligence (AI) transforms business processes with the 'Generative AI at SAP' course. This program provides a comprehensive understanding of AI's fundamental uses and benefits in a professional setting. Participants will explore different AI methodologies and study detailed use cases. Upon completion, attendees will gain.
California Institute of Technology Southern New Hampshire University

From Data to Decisions: Making Predictions with AI

Welcome to "From Data to Decisions: Making Predictions with AI," a comprehensive course designed to provide students with an applied introduction to sophisticated data analysis methodologies. Hosted by Southern New Hampshire University through Coursera, this course delves into the world of bivariate and multiple regression with a unique focus.
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California Institute of Technology Pluralsight

Microsoft Certified: Azure Azure AI Engineer Associate (AI-102): Exam Preparation

The AI-102 certification exam tests your ability to build, manage, and deploy AI solutions using Azure AI. This course equips you with the knowledge needed to tackle the exam confidently. Are you ready to take on the Microsoft Azure AI Engineer Associate Exam? In the course titled "Microsoft Certified: Azure AI Engineer Associate (AI-102): Exam.
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California Institute of Technology Google Cloud Skills Boost

Professional Machine Learning Engineer Study Guide

Elevate your career with the Professional Machine Learning Engineer Study Guide, where you'll craft a personalized study plan designed to conquer the PMLE certification exam. Dive into the extensive range of domains covered in the exam to ensure you're fully prepared. Assess your current knowledge and skills, and tailor your study approach to en.
California Institute of Technology AWS Skill Builder

BI generativa com o Amazon Q no Quicksight: introdução (Português) | Generative BI with Amazon Q in Quicksight - Getting Started (Portuguese)

O Amazon Q no QuickSight traz um conjunto inovador de recursos de business intelligence (BI) ao integrar grandes modelos de linguagem (LLMs) do Amazon Bedrock com as capacidades do Amazon QuickSight. Durante este curso, você explorará conceitos técnicos e entenderá os benefícios de utilizar o Amazon Q no QuickSight. Descubra a arquitetura e os recu.
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California Institute of Technology AWS Skill Builder

Amazon Q Introduction (Traditional Chinese)

本課程提供 Amazon Q 的高階概觀，這是生成式人工智慧 (AI) 支援助理。您將會了解將 Amazon Q 連結至公司資訊、程式碼和系統的使用案例和優點。您也可以找到其他資訊，以根據您對特定使用案例的興趣推進學習旅程。技術和非技術學習者都會了解 Amazon Q 如何以安全可靠的方式提高他們的生產力。 課程等級：基礎 持續時間：15 分鐘 注意：本課程具有本地化的註釋/字幕。.
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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!