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Machine Learning courses

1795 Courses

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California Institute of Technology Coursera

Innovating with GC Artificial Intelligence - Français

Innovating with GC Artificial Intelligence - Français Innovating with GC Artificial Intelligence - Français L'intelligence artificielle (IA) et le machine learning (ML) représentent une évolution importante de l'informatique et transforment rapidement un grand nombre de secteurs. Le cours 'Innovating with Google Cloud Artificial In.
provider Coursera
sessions On-Demand
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California Institute of Technology Coursera

Innovating with Google Cloud Artificial Intelligence - 日本語版

Innovating with Google Cloud Artificial Intelligence - 日本語版 | Coursera AI と ML は、幅広い業種に急速な変革をもたらしているインフォメーション テクノロジーにおける重要な進化です。「Innovating with Google Cloud Artificial Intelligence」では、AI と ML を活用して組織でビジネス プロセスを変革する方法について学習します。 このコースは Cloud Digit.
provider Coursera
sessions On-Demand
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California Institute of Technology Coursera  Professional Certificate

Preparing for Google Cloud Certification: Machine Learning Engineer

Preparing for Google Cloud Certification: Machine Learning Engineer 87% of Google Cloud certified users feel more confident in their cloud skills. This program provides you with the skills needed to advance your career and offers comprehensive training to prepare you for the industry-recognized Google Cloud Professional Machine Learning Engineer.
provider Coursera  Professional Certificate
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California Institute of Technology

IBM Watson - Build Chatbot with IBM Watson

IBM Watson - Build Chatbot with IBM Watson IBM Watson - Build Chatbot with IBM Watson A beginners guide into the AI technology of IBM Watson. Learn to build and integrate your Chatbot using IBM Watson. Categories: Artificial Intelligence Courses, Machine Learning Courses, Computer Vision Courses, IBM Wa.
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California Institute of Technology Udemy

Machine Learning and Business Intelligence Masterclass

Machine Learning and Business Intelligence Masterclass Discover the ultimate Machine Learning and Business Intelligence Masterclass available on Udemy. Master Machine Learning with Python and TensorFlow, and dive into Business Intelligence techniques using Siebel and BIP. Engage in hands-on projects to solidify your knowledge across multiple.
provider Udemy
sessions On-Demand
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California Institute of Technology Udemy

Professional Diploma in Python Development

Professional Diploma in Python Development - MTF Institute | Udemy Kickstart your career in technology with the Professional Diploma in Python Development offered by MTF Institute on Udemy. This comprehensive program covers everything you need to know about Python for Data Science, Web Development, Machine Learning, and Software Development. Wh.
provider Udemy
sessions On-Demand
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California Institute of Technology Udemy

Machine Learning and Deep Learning Projects in Python

Machine Learning and Deep Learning Projects in Python Discover 20 hands-on projects encompassing Machine Learning and Deep Learning, expertly implemented in Python. This comprehensive course provides all the code necessary for practical applications, guiding you from start to finish. Offered By: Udemy University: Categories: Python Cou.
provider Udemy
sessions On-Demand
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California Institute of Technology edX

Apprivoiser l’apprentissage automatique

Apprivoiser l'apprentissage automatique L’objectif principal du MOOC Apprivoiser l'Apprentissage Automatique est de vous présenter les concepts importants de manière simplifiée, puis de les pratiquer à l’aide de 7 tutoriels en Python sur l’application en ligne Colab accessible gratuitement. Le niveau théorique est ajusté pour mettre l’emphase sur.
provider edX
sessions On-Demand
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California Institute of Technology Udacity

Introduction to AI/ML Fluency

Introduction to AI/ML Fluency | Udacity Join the 'Introduction to AI/ML Fluency' course provided by Udacity and gain a comprehensive understanding of the fundamentals of artificial intelligence and machine learning. This course covers essential topics, exploring different algorithms, methods, and their real-world applications. Categories: Artific.
provider Udacity
sessions On-Demand
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California Institute of Technology Udacity  Nanodegree

AWS Machine Learning Engineer Nanodegree

AWS Machine Learning Engineer Nanodegree The AWS Machine Learning Engineer (MLE) Nanodegree program aims to provide software developers and data scientists with the essential data science and machine learning expertise needed to create and deploy machine learning models in production using Amazon SageMaker. The curriculum emphasizes the latest b.
provider Udacity  Nanodegree

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!