Machine Learning courses

1336 Courses

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.
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provider FutureLearn
pricing Free Online Course (Audit)
duration 6 weeks, 3 hours a week
sessions On-Demand

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.
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provider France Université Numerique
pricing Free Online Course
duration 10 hours
sessions On-Demand

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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Esploriamo il set di strumenti di machine learning (Italiano) | Exploring the Machine Learning Toolset (Italian)

Esploriamo il set di strumenti di machine learning (Italiano) | Exploring the Machine Learning Toolset (Italian) Puoi usare il machine learning indipendentemente dalla tua esperienza precedente. In questo corso, descriveremo alcuni dei servizi di machine learning di AWS che puoi usare per sviluppare modelli e aggiungere intelligence alle appli.
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provider AWS Skill Builder
pricing Free Certificate
sessions On-Demand

Fundamentals of Analytics on AWS – Part 1

Fundamentals of Analytics on AWS – Part 1 This course is the first of two offerings designed to introduce learners to the current market trends in analytics. In Part 1, you will learn fundamental concepts such as types of analytics, the 5 V’s of big data, and the challenges associated with processing high volumes of data. This course also maps t.
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provider AWS Skill Builder
pricing Free Certificate
duration 2 hours
sessions On-Demand

Introduction to Decision Science for Marketing

Introduction to Decision Science for Marketing Welcome to the Introduction to Decision Science for Marketing course! This course will introduce the principles and methods of data analytics as they apply to marketing. You will learn how and why to use data and analytics to inform marketing decisions and strategies. This beg.
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provider Coursera
pricing Free Online Course (Audit)
duration 23 hours
sessions On-Demand

Introduction to Image Generation - Bahasa Indonesia

Kursus ini memperkenalkan model difusi, yaitu kelompok model machine learning yang belakangan ini menunjukkan potensinya dalam ranah pembuatan gambar. Model difusi mengambil inspirasi dari fisika, khususnya termodinamika. Dalam beberapa tahun terakhir, model difusi menjadi populer baik di dunia industri maupun penelitian. Model difusi mendasar.
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provider Coursera
pricing Free Online Course (Audit)
sessions On-Demand

Transformer Models and BERT Model - Italiano

Transformer Models and BERT Model - Italiano Questo corso ti introduce all'architettura Transformer e al modello BERT (Bidirectional Encoder Representations from Transformers). Scopri i componenti principali dell'architettura Transformer, come il meccanismo di auto-attenzione, e come viene utilizzata per creare il modello BERT. Imparerai anche l.
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provider Coursera
pricing Free Online Course (Audit)
sessions On-Demand

Transformer Models and BERT Model - Português Brasileiro

Transformer Models and BERT Model - Português Brasileiro Este curso é uma introdução à arquitetura de transformador e ao modelo de Bidirectional Encoder Representations from Transformers (BERT, na sigla em inglês). Você vai aprender sobre os principais componentes da arquitetura de transformador, como o mecanismo de autoatenção, e como eles sã.
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provider Coursera
pricing Free Online Course (Audit)
sessions On-Demand

Introduction to Image Generation - Français

Introduction à la Génération d'Images - Français Ce cours présente les modèles de diffusion, une famille de modèles de machine learning qui s'est récemment révélée prometteuse dans le domaine de la génération d'images. Les modèles de diffusion trouvent leur origine dans la physique, et plus précisément dans la thermodynamique..
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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!