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Machine Learning courses

1795 Courses

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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.
provider Coursera
sessions On-Demand
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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.
provider Coursera
sessions On-Demand
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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.
provider Coursera  Specialization
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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.
provider Coursera  Professional Certificate
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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.
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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.
provider Pluralsight
sessions On-Demand
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California Institute of Technology

Amazon QuickSight Advanced Business Intelligence Authoring (Part 2)

Amazon QuickSight Advanced Business Intelligence Authoring (Part 2) This course is part of a two-part series. In this series, learners will learn how to author business intelligence experiences using Amazon QuickSight. In this second course, you will learn practical knowledge on building interactivity, including filters, actions, navigation, and.
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California Institute of Technology France Université Numerique

L'Intelligence Artificielle... avec intelligence !

L'Intelligence Artificielle... avec intelligence ! L’IA vous fait peur ? Vous en entendez parler à toutes les sauces ? Les humains seraient bons pour la casse ? Mais c’est quoi l’intelligence (artificielle) au fait ? Class’Code IAI est un Mooc citoyen accessible à toutes et à tous de 7 à 107 ans pour se questionner, expérimenter et comprendre ce q.
provider France Université Numerique
sessions On-Demand
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California Institute of Technology FutureLearn

Recommender Systems in Python

Recommender Systems in Python Build a Recommender System with National Tsing Hua University If you’ve ever watched a recommended film on Netflix or listened to a suggested playlist on Spotify, you have used a recommender system. On this six-week course from National Tsing Hua University, you’ll learn why so many platforms incorporate recomme.
provider FutureLearn
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!