Machine Learning courses

1003 Courses

Fake Instagram Profile Detector

Fake Instagram Profile Detector In this hands-on project, we will build and train a simple artificial neural network model to detect spam/fake Instagram accounts. Fake and spam accounts are a major issue in social media, often creating an illusion of numerous followers for influencers or being used to impersonate others and sell fake services or p.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand

Java Programming: Build a Recommendation System

Java Programming: Build a Recommendation System Ever wonder how Netflix decides what movies to recommend for you? Or how Amazon suggests books? Get hands-on experience by building a simplified recommender system of your own! In this capstone project, you will demonstrate your problem-solving abilities and Java programming skills by developing.
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Python per la Data Science

Python per la Data Science Python per la Data Science è un corso cruciale per qualsiasi professionista che voglia analizzare grandi quantità di dati attraverso le più recenti tecniche di Machine Learning e Deep Learning. Il core del corso è rappresentato dall’utilizzo dei notebook: un moderno formato didattico dove testo e teoria sono integrat.
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Automated Machine Learning en Microsoft Power BI

Automated Machine Learning en Microsoft Power BI Este proyecto es un curso práctico y efectivo para aprender todo lo que necesitas saber acerca de cómo crear e integrar modelos de autoML en Power BI. No solo aprenderás, de manera práctica, a generar y evaluar los modelos. Sino que además aprenderás a integrar y utilizarlos dentro de tus dashboa.
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provider Coursera
pricing Paid Course
duration 2-3 hours
sessions On-Demand

ML y Power BI para incrementar las ventas en Retail

Este proyecto es un curso efectivo para aprender a analizar los datos de retail y a identificar patrones que permiten maximizar las ventas. Para ello, se aprenderá todo lo necesario acerca de las reglas de asociación y a cómo generar dichas reglas en Power BI.
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Automated Machine Learning en Power BI Clasificación

Automated Machine Learning en Power BI Clasificación | Coursera Este proyecto es un curso práctico y efectivo para aprender todo lo que necesitas saber acerca de cómo crear e integrar modelos de clasificación de autoML en Power BI. No solo aprenderás, de manera práctica, a generar y evaluar los modelos de clasificación de autoML, sino que ademá.
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provider Coursera
pricing Paid Course
duration 2-3 hours
sessions On-Demand

Introducción a la inteligencia artificial generativa: el arte de lo posible (Español de España) | Introduction to Generative AI - Art of the Possible (Spanish from Spain)

Introducción a la inteligencia artificial generativa: el arte de lo posible (Español de España) | Introduction to Generative AI - Art of the Possible (Spanish from Spain) El curso Introducción a la inteligencia artificial generativa: el arte de lo posible proporciona una introducción a la inteligencia artificial generativa, sus.
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provider AWS Skill Builder
pricing Free Certificate
duration 1 hour
sessions On-Demand

Online Course Supplement: Practical Data Science with Amazon SageMaker

Online Course Supplement: Practical Data Science with Amazon SageMaker Artificial intelligence and machine learning (AI/ML) are becoming mainstream. In this course, you will spend a day in the life of a data scientist so that you can collaborate efficiently with data scientists and build applications that integrate with ML. You will learn the basic.
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provider AWS Skill Builder
pricing Free Certificate
duration 6 hours
sessions On-Demand

Machine Learning with Python from Scratch

Machine Learning with Python from Scratch | Udemy Learn to master Machine Learning Algorithms from the ground up, including essential skills in Neural Networks using Numpy, Pandas, Matplotlib, Seaborn, and Scikit-Learn. This course is offered by Udemy and provides the knowledge you need to excel in the field. Join now to start.
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provider Udemy
pricing Paid Course
duration 13 hours
sessions On-Demand

Ensemble Machine Learning in Python: Random Forest, AdaBoost

Learn the powerful ensemble methods in machine learning including Random Forest, AdaBoost, Boosting, Bagging, and Bootstrap with this hands-on course offered by Udemy. Designed for data science enthusiasts, this course will guide you through the practical applications of these techniques using Python. Embark on your data science journey by enro.
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provider Udemy
pricing Paid Course
duration 5 hours 46 minutes
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!