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Machine Learning courses

1335 Courses

California Institute of Technology Coursera

Machine Learning Algorithms: Supervised Learning Tip to Tail

Title: Machine Learning Algorithms: Supervised Learning Tip to Tail Description: Dive deep into the world of supervised machine learning with our comprehensive course. Starting with the basics, this course equips learners with the knowledge to understand and implement key supervised learning techniques using real-world case studies. Discover how de.
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provider Coursera
pricing Free Online Course (Audit)
duration 9-10 hours
sessions On-Demand
California Institute of Technology Coursera

Machine Learning Introduction for Everyone

Machine Learning Introduction for Everyone is a comprehensive three-module course available on Coursera, designed to introduce machine learning and data science fundamentals to learners. This course is well-suited for individuals looking to grasp essential machine learning models and applications. The curriculum covers the historical context of mac.
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provider Coursera
pricing Free Online Course (Audit)
duration 7-8 hours
sessions On-Demand
California Institute of Technology Coursera

Introduction to Applied Machine Learning

Title: Introduction to Applied Machine Learning Description: Join this comprehensive course tailored for professionals keen on integrating machine learning with data analysis and automation across various sectors including finance, medicine, engineering, and business. 'Introduction to Applied Machine Encryption' sets the stage by focusing on proble.
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provider Coursera
pricing Free Online Course (Audit)
duration 6-7 hours
sessions On-Demand
California Institute of Technology University of Manchester

NLP Modelos y Algoritmos

Curso de NLP: Modelos y Algoritmos Impartido por la University of Manchester y disponible en Coursera, este curso está diseñado para proporcionarte una comprensión profunda de los algoritmos de Procesamiento de Lenguaje Natural (NLP). A lo largo del curso, explorarás y aplicarás los últimos y más populares algoritos en NLP para resolver problemas e.
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provider Coursera
pricing Free Online Course (Audit)
duration 11 hours
sessions On-Demand
California Institute of Technology Higher School of Economics

Elaborazione del linguaggio naturale

Explore the fascinating field of Natural Language Processing with the comprehensive course offered by the Higher School of Economics and provided by Federica. This course provides a detailed overview of technologies used in automatic processing of both written and spoken language, with a special focus on human-machine dialogue technologies.Particip.
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provider Federica
pricing Free Online Course
duration 8 weeks
sessions On-Demand
California Institute of Technology University of California, Berkeley

Fundamentos de IA Aplicados ao CRM

Welcome to the "Fundamentos de IA Aplicados ao CRM" course offered by the University of California, Berkeley through Coursera. This course is fundamental in understanding how data-driven decision-making is becoming increasingly essential in the progression of the new economy. Companies that leverage CRM using data not only focus on analyzing number.
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provider Coursera
pricing Free Online Course (Audit)
duration 26 hours
sessions On-Demand
California Institute of Technology University of California, Berkeley

Fundamentos de Inteligência Artifical em Marketing

Welcome to the "Fundamentals of Artificial Intelligence in Marketing" course. This transformative course is crucial as companies reassess their strategies to meet their customers' needs and how customers engage with their services and offerings through mobile devices, the internet of things, or other devices. In this course, you will learn about th.
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provider Coursera
pricing Free Online Course (Audit)
duration 28 hours
sessions On-Demand
California Institute of Technology Coursera

Optimize ML Models and Deploy Human-in-the-Loop Pipelines

Discover how to enhance the efficiency of your machine learning models with the third installment of the Practical Data Science Specialization on Coursera. This course focuses on optimizing machine learning workflows through performance improvement, cost reduction, and the integration of human intelligence. Learn how to fine-tune your text classifi.
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provider Coursera
pricing Free Online Course (Audit)
duration 11 hours
sessions On-Demand
California Institute of Technology AWS Skill Builder

Introduction to Artificial Intelligence (Traditional Chinese)

探索人工智能的奧秘，這是一門介紹人工智慧（AI）的基礎課程。本課程將闡述AI的基本概念和重要性，涵蓋基礎知識包括機器學習和深度學習——作為AI不可分割的一部分。同時，將展示亞馬遜如何在其業務中實施AI技術。想要開啟或關閉翻譯字幕，請點擊視頻播放器下方的CC按鈕。 此課程由AWS Skill Builder提供，適合對人工智能、機器學習或深度學習有興趣的學習者。
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provider AWS Skill Builder
pricing Free Certificate
sessions On-Demand
California Institute of Technology AWS Skill Builder

Introduction to Artificial Intelligence (Korean)

이 과정은 인공 지능(AI)에 대한 입문 과정으로, AI의 기본 개념과 중요성을 이해하고, 그 하위 범주인 기계 학습과 딥러닝에 대해서도 배워봅니다. 또한, Amazon이 제품에 AI를 어떻게 통합하는지 사례를 통해 설명합니다. 강의에 한국어 자막 제공이 가능하며, 자막은 화면 하단의 CC 버튼을 통해 조절할 수 있습니다. 이 과정은 AWS Skill Builder에서 제공하는 인공 지능.
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provider AWS Skill Builder
pricing Free Certificate
sessions On-Demand

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!