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Machine Learning courses

1795 Courses

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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.
provider Coursera
sessions On-Demand
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California Institute of Technology Coursera

Data for Machine Learning

Title: Data for Machine Learning Description: Dive into the essentials of data utilization in machine learning with this comprehensive course. Discover the significant role of data in various phases of machine learning, including learning, training, and operational phases. Gain expertise in identifying critical elements of data, understanding and c.
provider Coursera
sessions On-Demand
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California Institute of Technology Coursera

Computer Vision in Microsoft Azure

Discover the transformative power of AI with the "Computer Vision in Microsoft Azure" course available on Coursera. This course dives into the intricacies of Microsoft Azure's Computer Vision cognitive service, which employs pre-trained models to effectively analyze images. Ideal for software developers, this course enables participants to construc.
provider Coursera
sessions On-Demand
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California Institute of Technology Coursera  Specialization

Machine Learning: Algorithms in the Real World

Title: Machine Learning: Algorithms in the Real World Description: Dive into the world of machine learning with our specialized program designed for professionals eager to harness machine learning for data analysis and automation across various sectors, including finance, medicine, engineering, and business. This comprehensive specialization from C.
provider Coursera  Specialization
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California Institute of Technology Coursera

Exploratory Data Analysis for Machine Learning

Title: Exploratory Data Analysis for Machine Learning Description: Kickstart your journey in Machine Learning with the first course in the IBM Machine Learning Professional Certificate, offered through Coursera. This foundational course empowers you to appreciate the critical role of high-quality data in machine learning processes. You will master.
provider Coursera
sessions On-Demand
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California Institute of Technology AWS Skill Builder

Introduction to Artificial Intelligence (Japanese) (日本語字幕版)

Explore the fascinating world of artificial intelligence in the "Introduction to Artificial Intelligence (Japanese) (日本語字幕版)" course offered by AWS Skill Builder. This comprehensive course delves into the essentials of AI, explaining its significance and covering subsets such as Machine Learning (ML) and Deep Learning (DL). Learn how AI is in.
provider AWS Skill Builder
sessions On-Demand
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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.
provider AWS Skill Builder
sessions On-Demand
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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。
provider AWS Skill Builder
sessions On-Demand
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California Institute of Technology LinkedIn Learning  Path

Master Microsoft Power BI

Advance your data analysis and visualization skills with our comprehensive course on Microsoft Power BI offered by LinkedIn Learning & Path. This course is designed for data professionals across all industries who are looking to leverage the powerful data analytics, modeling, and visualization capabilities of Power BI. Become proficient in using ad.
provider LinkedIn Learning  Path
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California Institute of Technology LinkedIn Learning

Power BI: Integrating AI and Machine Learning

Unlock the potential of AI and machine learning within Power BI with this comprehensive course offered by LinkedIn Learning. Dive deep into how end users can seamlessly explore and leverage artificial intelligence and machine learning capabilities within Power BI. This course is perfect for those interested in enhancing their skills across various.
provider LinkedIn Learning
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!