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Machine Learning courses

1336 Courses

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 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.
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provider Coursera  Professional Certificate
pricing Paid Course
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.
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provider Coursera
pricing Free Online Course (Audit)
duration 1-2 hours
sessions On-Demand
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.
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provider Coursera
pricing Free Online Course (Audit)
duration 1-2 hours
sessions On-Demand
California Institute of Technology

Innovating with GC Artificial Intelligence - Português

Innovating with GC Artificial Intelligence - Português A inteligência artificial (IA) e o machine learning (ML) representam importantes evoluções na tecnologia da informação que estão transformando uma ampla variedade de setores. O curso "Innovating with Google Cloud Artificial Intelligence" mostra como as organizações podem usar a IA e o ML para.
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California Institute of Technology Pluralsight

Deep Learning with Keras 2

Deep Learning with Keras Deep Learning lies at the heart of many leading machine learning and artificial intelligence applications. This course, Deep Learning with Keras, shows you how to use Keras to quickly create powerful deep neural networks. There has been a revolution in artificial intelligence (AI) and machine learning, and deep learning.
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provider Pluralsight
pricing Free Trial Available
duration 2 hours 34 minutes
sessions On-Demand
California Institute of Technology

Introduction to artificial intelligence for trainers

Module 1: Fundamental Concepts in Artificial Intelligence (AI) and Machine Learning By the end of this module, you'll be able to: Distinguish between supervised, unsupervised, and reinforcement learning, and identify the type of machine learning most suitable for certain scenarios. Assess t.
California Institute of Technology Coursera  Professional Certificate

Google Cloud Digital Leader Training

Google Cloud Digital Leader Training The Cloud Digital Leader training consists of a course series designed to give you foundational knowledge about cloud technology and data. This training also offers an overview of Google Cloud products and services that enable organizations’ digital transformation. This training will empower you and your.
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provider Coursera  Professional Certificate
pricing Paid Course
California Institute of Technology University of Naples Federico II

Applied Python Data Engineering

Applied Python Data Engineering Learn how to use data engineering to leverage big data for business strategy, data analysis, or machine learning and AI. By completing this course series, you'll empower yourself with the knowledge and proficiency required to build efficient data pipelines, manage cutting-edge platforms like Hadoop, Spar.
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provider Coursera  Specialization
pricing Paid Course
California Institute of Technology University of Naples Federico II

Operationalizing LLMs on Azure

Operationalizing LLMs on Azure This course is designed for individuals at both an intermediate and beginner level, including data scientists, AI enthusiasts, and professionals seeking to harness the power of Azure for Large Language Models (LLMs). Tailored for those with foundational programming experience and familiarity with Azure basics, this.
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provider Coursera
pricing Free Online Course (Audit)
duration 10 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!