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Machine Learning courses

1656 Courses

California Institute of Technology Udemy

Machine Learning | Solução completa end-to-end (Python)

Machine Learning | Solução completa end-to-end (Python) - Udemy Curso: Machine Learning | Solução completa end-to-end (Python) Descrição: Aprenda como criar valor usando Machine Learning em um problema real de mercado neste curso abrangente. Desenvolva habilidades essenciais em Python e suas bibliotecas, como Matplotlib, NumPy, pandas e outras f.
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provider Udemy
pricing Paid Course
duration 3-4 hours
sessions On-Demand
California Institute of Technology Udemy

Machine Learning y Data Science: Curso Completo con Python

Machine Learning y Data Science: Curso Completo con Python Aprende Machine Learning y Data Science con Python, y conviértete en un experto en el campo. Este curso completo, ofrecido por Udemy, te proporcionará todo lo necesario para dominar el Machine Learning con Python. Categorías: Python Courses, Machine Learning Courses.
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provider Udemy
pricing Paid Course
duration 31 hours
sessions On-Demand
California Institute of Technology Taipei Medical University

Applications of AI Technology

Applications of AI Technology | FutureLearn From our workplaces to our homes, AI can now be found in all aspects of our lives. On this four-week course, you’ll delve into the applications of AI technology and how it is affecting the future of four key areas. You’ll start by discovering intelligent systems, where you’ll explore neural networks, g.
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provider FutureLearn
pricing Free Online Course (Audit)
duration 4 weeks, 2 hours a week
sessions On-Demand
California Institute of Technology Coursera

Introduction to AI and Machine Learning on GC - 日本語版

Introduction to AI and Machine Learning on GC - 日本語版 このコースでは、Google Cloud での人工知能（AI）および機械学習（ML）サービスについて紹介します。Google Cloud では、AI 基盤、AI 開発、AI ソリューションを通じてデータから AI へのライフサイクルをサポートします。データ サイエンティスト、AI 開発者、ML エンジニアなど、さまざまなユーザーの目標に基.
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provider Coursera
pricing Free Online Course (Audit)
duration 9-10 hours
sessions On-Demand
California Institute of Technology edX

Machine Learning Use Cases in Finance

Machine Learning Use Cases in Finance The success of machine learning, especially deep learning in image recognition and natural language processing, has created high expectations, rapidly spreading to various areas, including the financial sector. Over the past six years, financial, banking, and insurance contexts have increasingly adopted these.
provider edX
pricing Free Online Course (Audit)
duration 4 weeks, 4-5 hours a week
sessions On-Demand
California Institute of Technology Swayam

Engineering Statistics

Engineering Statistics ABOUT THE COURSE: We have to deal with data all the time and it has to be analyzed in a systematic way to extract information. This course introduces all basic concepts in statistics and prepares one to use statistics in many engineering applications. Sound knowledge of statistics is important to develop good machine learn.
provider Swayam
pricing Free Online Course
duration 12 weeks
sessions 21st Jan, 2024
California Institute of Technology University of California, San Diego

Fuzzy Logic And Neural Networks

Fuzzy Logic and Neural Networks Course Discover the fascinating world of Fuzzy Logic and Neural Networks with our comprehensive course. Course Highlights: Introduction to fuzzy sets and comparison with crisp sets Detailed discussion on terms and grammar of fuzzy sets with numerical examples Explanation of fuzzy reasoning and fuzzy cluster.
provider Swayam
pricing Free Online Course
duration 8 weeks
sessions 21st Jan, 2024
California Institute of Technology Coursera

Introduction to Vertex AI Embeddings: Text and Multimodal

Introduction to Vertex AI Embeddings: Text and Multimodal Explore the comprehensive world of Vertex AI with our self-paced lab, Introduction to Vertex AI Embeddings: Text and Multimodal. Conducted through the Google Cloud console, this lab provides hands-on experience with the Vertex AI Embeddings API, catering to both Text and Multimodal (Image.
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California Institute of Technology Coursera

What are GPTs and How can they work for my business?

What are GPTs and How can they work for my business? This course provides participants with a comprehensive understanding of how custom GPTs can be leveraged for strategic decision-making in business. It begins with an introduction to custom GPTs, explores their diverse applications in business, and delves into real-world examples of usi.
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California Institute of Technology Coursera

Build a DIY Multimodal Question Answering System with Vertex AI

Build a DIY Multimodal Question Answering System with Vertex AI Join this self-paced lab in the Google Cloud console to master building a question answering system capable of understanding both text and images with Vertex AI. Perfect for those interested in Artificial Intelligence, Machine Learning, Computer Vision, and Google Cloud Platform..
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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!