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Machine Learning courses

1003 Courses

California Institute of Technology Arizona State University

Data Mining for Smart Cities

Data Mining for Smart Cities | Arizona State University | Coursera Internet of things (IoT) has become a significant component of urban life, giving rise to “smart cities.” These smart cities aim to transform present-day urban conglomerates into citizen-friendly and environmentally sustainable living spaces. The digital infrastructure of smart c.
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provider Coursera
pricing Free Online Course (Audit)
duration 63 hours
sessions On-Demand
California Institute of Technology France Université Numerique

Machine learning in Python with scikit-learn

Machine Learning in Python with scikit-learn Predictive modeling is a pillar of modern data science. In this field, scikit-learn is a central tool: it is easily accessible and yet powerful, and it dovetails in a wider ecosystem of data-science tools based on the Python programming language. This course is an in-depth introduction to predictive mod.
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provider France Université Numerique
pricing Free Online Course
duration 36 hours
sessions On-Demand
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.
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provider edX
pricing Free Online Course (Audit)
duration 7 weeks, 2-3 hours a week
sessions On-Demand
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.
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provider Udacity
pricing Paid Course
duration 5 hours
sessions On-Demand
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.
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provider Udacity  Nanodegree
pricing Paid Course
duration 6 months
California Institute of Technology

Processamento Neural de Linguagem Natural em Português I

Bem-vindo ao curso de Processamento Neural de Linguagem Natural em Português I, oferecido pelo Departamento de Ciência da Computação do Instituto de Matemática e Estatística da USP, com apoio do C4AI – USP-IBM-Fapesp Center for Artificial Intelligence e Google. Neste curso, você irá aprender como o Machine Learning (aprendizado de máquina) pod.
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California Institute of Technology Arizona State University

Supply Chain Management

Welcome to Supply Chain Management! This comprehensive course offers foundational knowledge in key terms, concepts, and phenomena prevalent in supply chain systems and processes. Understand the vast scale and complexity of modern supply chains and learn to make informed decisions at various levels. You will delve into quantitative tools and t.
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provider Coursera
pricing Free Online Course (Audit)
duration 17 hours
sessions On-Demand
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
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 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

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!