Machine Learning courses

1795 Courses

Udemy

Machine Learning: Aplicado a Python y Data Science

Machine Learning: Aplicado a Python y Data Science Aprende a crear algoritmos de Machine Learning en Python para estudiantes y profesionales. Curso ofrecido por Udemy.

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AWS Skill Builder

Introducción al machine learning: el arte de lo posible (Español LATAM) | Introduction to Machine Learning: Art of the Possible (LATAM Spanish)

Introducción al machine learning: el arte de lo posible (Español LATAM) | Introduction to Machine Learning: Art of the Possible (LATAM Spanish) Este curso digital está diseñado para ayudar a los responsables de la toma de decisiones empresariales a comprender los conceptos básicos del machine learning (ML). Nivel d.

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Introduction to Machine Learning: Art of the Possible (Portuguese)

Introdução ao Machine Learning: A Arte do Possível (Português) Este curso digital foi elaborado para ajudar responsáveis por decisões empresariais a entender os fundamentos de machine learning (ML). Nível do curso: fundamental Duração: 30 minutos Observação: Este curso tem transcrições/legendas traduzidas. A narração está em inglês. Para exi.

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Deep Learning Bootcamp with 5 Capstone Projects

Deep Learning Bootcamp with 5 Capstone Projects Enroll in our intensive Deep Learning Bootcamp to gain comprehensive knowledge in artificial neural networks (ANN), convolutional neural networks (CNN), recurrent neural networks (RNN), and long short-term memory (LSTMs). This course offers hands-on experience through five real-time capstone projec.

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5 Courses - Master AWS, Analytics, Machine Learning, Bigdata

5 Courses - Master AWS, Analytics, Machine Learning, Bigdata | Udemy 5 Courses - Master AWS, Analytics, Machine Learning, Bigdata Embark on a comprehensive learning journey to master AWS, Analytics, Machine Learning, and Big Data. This curated package of 5 courses, available on Udemy, is designed to equip yo.

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Complete iOS Machine Learning Masterclass

Complete iOS Machine Learning Masterclass Complete iOS Machine Learning Masterclass The most comprehensive course on Machine Learning for iOS development. Elevate your skills and master the art of building smart apps using iOS Swift 4. Perfect for those looking to excel in creating innovative and intelligent iOS applications..

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Machine Learning e Data Science com Weka e Java - Completo

Machine Learning e Data Science com Weka e Java - Completo Machine Learning e Data Science com Weka e Java - Completo Aprenda as técnicas que o mundo real exige e torne-se um profissional competitivo na área de Inteligência Artificial! Oferecido por: Udemy Categorias: Machine Learning Courses, Data Science Courses, Java Courses

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Mineração de Emoção em Textos com Python e NLTK

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Programmer en Python en 1h30 avec Anaconda (GRATUIT - 2023)

Programmer en Python en 1h30 avec Anaconda (GRATUIT - 2023) Apprendre à Programmer en Python en seulement 1h30. Cours pour Débutants de A à Z. Apprenez à utiliser des outils tels qu'Anaconda, Spyder et Jupyter Notebook. Université: Udemy Catégories: Cours d'Intelligence Artificielle, Cours de Python, Cours de Machine Learning, Cours de Deep Le.

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Curso completo de álgebra lineal de cero a experto

Curso completo de álgebra lineal de cero a experto Aprende las bases para aplicar el álgebra lineal a la Estadística, al Machine Learning y la Inteligencia Artificial. Ofrecido por: Udemy Categorías: Artificial Intelligence Courses, Statistics & Probability Courses, Machine Learning Courses, Linear Algebra Courses

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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:

Voice assistant Alisa. This system, without human help, will always find the answer to any question of interest, turn on music, answer the call and much more.

Selecting relevant advertising in browsers is not an easy process for a person, but it is quick for a computer. The system will analyze the viewing data and select what a particular user will like. The same system is used on various marketplaces - products that a person viewed or purchased are offered.

Chatbots in various dialogues. For example, many banks use bots to solve customer problems. It's convenient and fast.

Data security: Machine learning models can identify data security vulnerabilities before they become breaches. By analyzing past experiences, machine learning models can predict future high-risk actions so that risk can be mitigated proactively.

Finance: Banks, trading brokers and fintech firms use machine learning algorithms to automate trading and provide financial advisory services to investors. Bank of America uses chatbot Erica to automate customer support.

Healthcare: Machine learning is used to analyze massive medical data sets to speed up the discovery of treatments and cures, improve patient outcomes, and automate routine processes to prevent human errors. For example, IBM Watson uses data mining to provide doctors with data they can use to personalize patient care.

Fraud detection: AI is used in the finance and banking sector to autonomously analyze large numbers of transactions to identify fraudulent activities in real time. Technology services company Capgemini says fraud detection systems using machine learning and analytics reduce fraud investigation time by 70% and increase detection accuracy by 90% .

Retail: AI researchers and developers are using machine learning algorithms to develop AI recommendation engines that make relevant product suggestions based on shoppers' past choices, as well as historical, geographic and demographic data.

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:

Basic knowledge of programming languages such as Python, R, Java, JavaScript, etc.

Average knowledge of statistics and probability.

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.

Understanding Calculus.

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!