Machine Learning courses

1336 Courses

Curso Completo de Machine Learning en Microsoft Power BI

Curso Completo de Machine Learning en Microsoft Power BI Este proyecto es un curso práctico y efectivo para aprender a integrar modelos de Machine Learning en tus dashboards de Power BI Desktop. Aprenderás, de manera práctica y efectiva a generar y evaluar diferentes tipos de modelos de ML como: clasificación, regresión, reglas de asociación, c.
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provider Coursera
pricing Paid Course
duration 2-3 hours
sessions On-Demand

30+ Saatlik Uçtan Uca İş Zekası Mühendisliği Kursu

30+ Saatlik Uçtan Uca İş Zekası Mühendisliği Kursu Bu kursta T-SQL, Power BI, SSAS, SSIS, DAX, Excel ve Excel VBA, Makine Öğrenmesi ve Zaman Serileri öğretilecektir. Sağlayıcı: Udemy Kategoriler: Machine Learning Courses, Business Intelligence Courses, DAX (Data Analysis Expressions) Courses, Microsoft SQL Server Courses
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provider Udemy
pricing Paid Course
duration 31 hours
sessions On-Demand

Minería de datos aplicada al marketing

Minería de datos aplicada al marketing ¿Conoces realmente a tus clientes? ¿Sabes qué productos compran o te basas en suposiciones? En este curso, aprenderás a construir modelos basados en técnicas de minería de datos para obtener información relevante de tus clientes y descubrir patrones de comportamiento, permitiéndote definir estrategias de mar.
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provider edX  Professional Certificate
pricing $78.00
duration 10 weeks, 4-5 hours a week

Visualizing with QuickSight (Portuguese)

Visualizing with QuickSight (Portuguese) Neste curso, você conhecerá a parte técnica de business intelligence (BI) e visualização de dados com a Amazon Web Services (AWS). O foco será no uso do Amazon QuickSight para criar e compartilhar painéis interativos e análises. Veremos como incorporar painéis em aplicações e sites e gerenciar o acesso e as.
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provider AWS Skill Builder
pricing Free Certificate
duration 4 hours
sessions On-Demand

Visualizing with QuickSight (French)

Visualizing with QuickSight (French) Dans ce cours, vous découvrirez l'aspect technique de l'informatique décisionnelle (BI) et de la visualisation des données avec Amazon Web Services (AWS). Ce cours sera principalement axé sur l'utilisation d'Amazon QuickSight en vue de créer et de partager des tableaux de bord et des analyses interactifs. Vous.
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provider AWS Skill Builder
pricing Free Certificate
duration 4 hours
sessions On-Demand

Pentaho, infinitas possibilidades

Pentaho, infinitas possibilidades Apresentado por Ricardo Gouvêa, CEO da Openin Big Data, conheça as infinitas possibilidades usando Pentaho. University: Provider: Udemy Categories: Machine Learning Courses, Big Data Courses, Business Intelligence Courses
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provider Udemy
pricing Free Online Course
duration 1 hour
sessions On-Demand

Visualizing with QuickSight (Italian)

Visualizing with QuickSight (Italian) Questo corso introdurrà il lato tecnico della Business Intelligence (BI) e la visualizzazione dei dati con Amazon Web Services (AWS). Ti concentrerai sull'utilizzo di Amazon QuickSight per creare e condividere analisi e dashboard interattive. Imparerai a incorporare le dashboard in applicazioni e siti Web e a.
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provider AWS Skill Builder
pricing Free Certificate
duration 4 hours
sessions On-Demand

Maestría en Ingeniería de Software

Maestría en Ingeniería de Software Obtén tu Maestría en Ingeniería de Software de la Universidad Continental a través de Coursera. Enfócate en áreas clave como inteligencia artificial, aprendizaje automático, computación en la nube, desarrollo de software y microservicios. Avanza en tu carrera con la experiencia y el conocimiento adquiridos en es.
provider Coursera  Degree
pricing Paid Course

Introducción a Machine Learning

Introducción a Machine Learning En este curso abordaremos el aprendizaje automático de máquinas desde una perspectiva algebraica. Se abordarán cuatro temas principales: Primero, introduciremos los modelos de regresión y clasificación lineal, comenzando por la regresión lineal multivariada, sus aplicaciones y cómo evitar el sobre-ajus.
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provider edX
pricing Free Online Course (Audit)
duration 4 weeks, 4-6 hours a week
sessions On-Demand

AI 프라이버시 및 편의성

AI 프라이버시 및 편의성 본 강의에서는 머신 러닝 분야에서의 보안 및 프라이버시와 관련된 기본 개념을 살펴봅니다. 그 기저에 깔린 윤리를 깊이 있게 탐구하면서, 유효한 예측 모델을 구축하는 과정에서 사용자의 프라이버시를 보호하는 방법을 알아보겠습니다. 또한 두 가지 심층 질문을 통해, 기업이 알고리즘을 구현하는 방법과 그에 따라 현재와 미래에 사용자 프라이.
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provider Coursera
pricing Free Online Course (Audit)
duration 5-6 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!