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Machine Learning courses

1795 Courses

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California Institute of Technology Udacity

Discovering Artificial Intelligence and Machine Learning

Discovering Artificial Intelligence and Machine Learning - Udacity Course Title: Discovering Artificial Intelligence and Machine Learning University: Udacity Course Description: Dive deep into the world of Artificial Intelligence (AI) and Machine Learning (ML). In this course, you will explore how these powerful technol.
provider Udacity
sessions On-Demand
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California Institute of Technology Udacity

Applying AI to EHR Data

Applying AI to EHR Data With the transition to electronic health records (EHR) over the last decade, the amount of EHR data has increased exponentially, providing an incredible opportunity to unlock this data with AI to benefit the healthcare system. Learn the fundamental skills of working with EHR data in order to build a.
provider Udacity
sessions On-Demand
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California Institute of Technology edX

Synchrotrons and X-Ray Free Electron Lasers (part 2)

Synchrotrons and X-Ray Free Electron Lasers (Part 2) Are you interested in investigating materials and their properties with unsurpassed accuracy and fidelity? Synchrotrons and XFELs serve as Science’s premier microscopic tools in disciplines as varied as molecular biology, environmental science, cultural heritage, catalytical chemistr.
provider edX
sessions On-Demand
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California Institute of Technology Arizona State University

Data Mining for Smart Cities

Data Mining for Smart Cities | Arizona State University | Coursera Internet of things (IoT) has become a significant component of urban life, giving rise to “smart cities.” These smart cities aim to transform present-day urban conglomerates into citizen-friendly and environmentally sustainable living spaces. The digital infrastructure of smart c.
provider Coursera
sessions On-Demand
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California Institute of Technology France Université Numerique

Machine learning in Python with scikit-learn

Machine Learning in Python with scikit-learn Predictive modeling is a pillar of modern data science. In this field, scikit-learn is a central tool: it is easily accessible and yet powerful, and it dovetails in a wider ecosystem of data-science tools based on the Python programming language. This course is an in-depth introduction to predictive mod.
provider France Université Numerique
sessions On-Demand
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California Institute of Technology Coursera

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.
provider Coursera
sessions On-Demand
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California Institute of Technology

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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California Institute of Technology Coursera

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.
provider Coursera
sessions On-Demand
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California Institute of Technology Higher School of Economics

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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California Institute of Technology University of Naples Federico II

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.

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!