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Machine Learning courses

1336 Courses

California Institute of Technology Udemy

Uczenie maszynowe w Pythonie. Podstawy, perceptron, regresja

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provider Udemy
pricing Paid Course
duration 7 hours
sessions On-Demand
California Institute of Technology Udemy

Python All In One Mastery From Beginner to Advance:Easy Way

Python All In One Mastery From Beginner to Advance: Easy Way Course Title: Python All In One Mastery From Beginner to Advance: Easy Way Description: In HINDI/URDU LANGUAGE: The one and only course in Hindi and Urdu for those who want to master Python 3.X. Gain extensive knowledge in Python through clear and detailed instr.
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provider Udemy
pricing Paid Course
duration 17 hours 35 minutes
sessions On-Demand
California Institute of Technology Udemy

Machine Learning ve Python: A'dan Z'ye Makine Öğrenmesi (4)

Machine Learning ve Python: A'dan Z'ye Makine Öğrenmesi (4) | Udemy Makine Öğrenmesi ve Python: A'dan Z'ye Makine Öğrenmesi (4) Üniversite:   Udemy Kategoriler:   Yapay Zeka Kursları, Python Kursları, Makine Öğrenmesi Kursları, Veri Bilimi Kursları Python ile Machine Learning algoritmaları geliştirerek Yap.
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provider Udemy
pricing Paid Course
duration 17 hours 48 minutes
sessions On-Demand
California Institute of Technology Udemy

Data Science ve Python: Sıfırdan Uzmanlığa Veri Bilimi (2)

Data Science ve Python: Sıfırdan Uzmanlığa Veri Bilimi (2) | Udemy Bir Profesyonel gibi Data Science (Veri Bilimi) öğrenin ve Yapay Zeka öğrenmek için gerekli temelleri atın! Udemy tarafından sunulan bu kapsamlı kurs, sıfırdan uzmanlığa veri bilimi becerileri kazanmanızı sağlar. Kategoriler: Artificial Intelligence Courses, Python Courses.
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provider Udemy
pricing Paid Course
duration 6 hours 33 minutes
sessions On-Demand
California Institute of Technology Udemy

Python: Yapay Zeka için Python Programlama (1)

Python: Yapay Zeka için Python Programlama (1) Python: Yapay Zeka için Python Programlama (1) Üniversite: Udemy Bir Profesyonel gibi Python öğrenin! Temel konulardan başlayın ve Yapay Zeka öğrenmek için gerekli temelleri atın!
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provider Udemy
pricing Paid Course
duration 9 hours 45 minutes
sessions On-Demand
California Institute of Technology Udemy

Full Stack Web Developer with AI & ML Integration|Hindi|Urdu

Full Stack Web Developer with AI & ML Integration | Hindi | Urdu Enhance your skills with our comprehensive Full Stack Web Development Course, integrating Machine Learning and Artificial Intelligence using Python and Django. This course is designed for Hindi and Urdu speakers and is offered by Udemy, covering essential areas such as: Artif.
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provider Udemy
pricing Paid Course
duration 1 day 13 hours 9 minutes
sessions On-Demand
California Institute of Technology Coursera

Developing Data Models with LookML 日本語版

Developing Data Models with LookML 日本語版 Title: Developing Data Models with LookML 日本語版 Description: このコースを受講すると、スケーラブルで高パフォーマンスの LookML（Looker モデリング言語）を開発し、ビジネス ユーザーの疑問解決に必要な、標準化されたすぐに使えるデータを提供できるようになります。このコースの修了時には、組織の Looker インスタ.
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provider Coursera
pricing Free Online Course (Audit)
duration 5-6 hours
sessions On-Demand
California Institute of Technology AWS Skill Builder

Visualizing with QuickSight (Indonesian)

Visualizing with QuickSight (Indonesian) Dalam kursus ini, Anda akan diperkenalkan pada sisi teknis kecerdasan bisnis (BI) dan visualisasi data dengan Amazon Web Services (AWS). Anda akan fokus menggunakan Amazon QuickSight untuk membangun serta berbagi dasbor dan analisis interaktif. Anda akan belajar bagaimana menyematkan dasbor ke aplikasi dan.
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provider AWS Skill Builder
pricing Free Certificate
duration 4 hours
sessions On-Demand
California Institute of Technology AWS Skill Builder

Visualizing with QuickSight (Traditional Chinese)

Visualizing with QuickSight (Traditional Chinese) 在本課程中，您將了解 Amazon Web Services (AWS) 商業智慧 (BI) 和資料視覺化的技術內容。您將專注於使用 Amazon QuickSight 來建置和分享互動式儀表板和分析。您將學習如何將儀表板內嵌至應用程式和網站中，以及安全地管理存取和許可。此外，您還將了解如何透過 Virtual Private Cloud (VPC) 和應用程式連接器，連線及.
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provider AWS Skill Builder
pricing Free Certificate
duration 4 hours
sessions On-Demand
California Institute of Technology Coursera

Procesamiento del lenguaje natural con Python y Power BI

Procesamiento del Lenguaje Natural con Python y Power BI Procesamiento del Lenguaje Natural con Python y Power BI Este proyecto es un curso práctico y efectivo para aprender acerca del Procesamiento Natural del Lenguaje, centrándote en la parte de Topic Modelling. Aprenderás a cómo analizar tus textos mediante Pyt.
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provider Coursera
pricing Paid Course
duration 2-3 hours
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!