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Machine Learning courses

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California Institute of Technology Coursera

Interpretable Machine Learning Applications: Part 4

Interpretable Machine Learning Applications: Part 4 Join this 1-hour guided project to explore the 'What-If' Tool (WIT) in the context of training and testing machine learning prediction models. You'll gain hands-on experience in: Setting up a machine learning application using Python in an interactive notebook on Google's Colaboratory envir.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand
California Institute of Technology Udemy

iOS & Swift - The Complete iOS App Development (Arabic)

iOS & Swift - The Complete iOS App Development (Arabic) | Udemy دورة شاملة ومتخصصة في برمجة تطوير تطبيقات الايفون والايباد iOS Development using Swift 5 and Xcode 12 / 13 - Arabic. مقدمة من Udemy الفئات: Artificial Intelligence Courses, Machine Learning Courses, Augmented Reality Courses, iOS Development Courses, Swift Courses, Xcode Courses
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provider Udemy
pricing Paid Course
duration 26 hours
sessions On-Demand
California Institute of Technology Udemy

Machine Learning Mastering Course in Arabic

Machine Learning Mastering Course in Arabic الكورس الاحترافي في الذكاء الاصطناعي مقدم من Udemy. طور مهاراتك في مجالات الذكاء الاصطناعي الإحصاء والاحتمالات تعلم الآلة الجبر انضم إلى الدورة الآن واكتسب معرفة متقدمة بإشراف خبراء المجال.
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provider Udemy
pricing Paid Course
duration 17 hours 31 minutes
sessions On-Demand
California Institute of Technology Udemy

PyTorch ile Derin Öğrenme

PyTorch ile Derin Öğrenme | Udemy Kursu Udemy'de PyTorch kütüphanesi ile Derin Öğrenme projeleri oluşturmayı öğrenin. Bu kurs, Python, Makine Öğrenimi, Derin Öğrenme, NumPy ve pandas konularını kapsar, böylece kapsamlı bir öğrenme deneyimi sunar.
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provider Udemy
pricing Paid Course
duration 8 hours
sessions On-Demand
California Institute of Technology Udemy

Yapay Zeka ve Derin Öğrenme A-Z™: Tensorflow

Yapay Zeka ve Derin Öğrenme A-Z™: Tensorflow Google Tensorflow ile Python dilinde makine öğrenimi, yapay sinir ağları ve deep learning programları geliştirin. Bu kapsamlı kurs, Udemy tarafından sunulmaktadır ve meraklılarına derin öğrenme ve makine öğrenimi alanında güçlü bir temel sağlayacaktır. Üniversite: Udemy Kategoriler: Python.
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provider Udemy
pricing Paid Course
duration 7 hours
sessions On-Demand
California Institute of Technology Udemy

Makine Mühendisleri için Derin Öğrenme

Makine Mühendisleri için Derin Öğrenme Makine Mühendisleri için Derin Öğrenme Bu kapsamlı kurs, makine mühendislerine özel olarak hazırlanmıştır. Veri toplama ve veriyi anlamlı hale getirme süreçlerini öğrenirken, aynı zamanda bu verilerden derin öğrenme modelleri oluşturmayı öğreneceksiniz. Udemy'de sunulan bu kurs, Python, Keras ve diğer popü.
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provider Udemy
pricing Paid Course
duration 2-3 hours
sessions On-Demand
California Institute of Technology AWS Skill Builder

Exploring the Machine Learning Toolset (Traditional Chinese)

無論您是否具備相關背景或經歷，都能使用機器學習。在本課程中，我們也將向您介紹一些可用於建置模型，以及增加應用程式智慧的 AWS 機器學習服務。 注意：本課程具有本地化的註釋/字幕。旁白保留英語。 要顯示字幕，請按一下播放器右下角的 CC 按鈕。 University: University Provider: AWS Skill Builder Categories: Machine Learning Courses
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provider AWS Skill Builder
pricing Free Certificate
sessions On-Demand
California Institute of Technology Udemy

Python Dersleri: Sıfırdan İleri Seviyeye Temel Eğitim

Python Dersleri: Sıfırdan İleri Seviyeye Temel Eğitim Python Dersleri: Sıfırdan İleri Seviyeye Temel Eğitim Sıfırdan başlayarak, veri bilimi ve yapay zeka gibi birçok ileri düzey alan için kendinize güçlü bir temel oluşturacaksınız. Üniversite: Udemy Yapay Zeka Kursları Python Kursları Makine Öğrenmesi Kursları Veri Bilimi Kursları
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provider Udemy
pricing Paid Course
duration 16 hours 7 minutes
sessions On-Demand
California Institute of Technology

C++ Machine Learning Algorithms Inspired by Nature

C++ Machine Learning Algorithms Inspired by Nature Delve into the fascinating world of C++ machine learning algorithms inspired by nature. This course focuses on hands-on coding of essential algorithms such as the Genetic Algorithm, Simulated Annealing, Ant Colony Optimization, and Differential Evolution from scratch..
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California Institute of Technology

Learn Python3 Programming

Master the core concepts of Python3 programming tailored for Software Testers, Developers, Data Scientists, and Machine Learning enthusiasts. Dive into crucial topics and enhance your proficiency in Python to effectively tackle real-world challenges in various tech domains. Categories: Artificial Intelligence Courses, Python Courses, Machine L.
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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!