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Machine Learning courses

1795 Courses

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California Institute of Technology Coursera

Machine Learning with H2O Flow

Title: Machine Learning with H2O Flow Description: Dive into the world of machine learning without the need to write code with our hands-on project, Machine Learning with H2O Flow. This dynamic course provides a guided tour of H2O Flow, a web-based, user-friendly interface that facilitates the training and evaluation of machine learning models usin.
provider Coursera
sessions On-Demand
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California Institute of Technology FutureLearn  Program

Advanced AI on Microsoft Azure: Ethics and Laws, Research Methods and Machine Learning

Artificial intelligence (AI) expertise is among the most sought-after skills in both today's and tomorrow's job markets, as organizations aim to employ AI technology to transform their operations. The field is rapidly expanding, and there is a notable lag in the development of corresponding legal frameworks and ethical guidelines. This complete pro.
provider FutureLearn  Program
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California Institute of Technology AWS Skill Builder

Introduction to Machine Learning: Art of the Possible

This digital course is designed to help business decision makers grasp the essentials of machine learning (ML), aimed at empowering them with the knowledge to assess its advantages and risks within different business scenarios. Course level: Fundamental Duration: 30 minutes The course curriculum encompasses presentations, videos, and interactive kn.
provider AWS Skill Builder
sessions On-Demand
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California Institute of Technology Coursera

Optimize ML Models and Deploy Human-in-the-Loop Pipelines

Discover how to enhance the efficiency of your machine learning models with the third installment of the Practical Data Science Specialization on Coursera. This course focuses on optimizing machine learning workflows through performance improvement, cost reduction, and the integration of human intelligence. Learn how to fine-tune your text classifi.
provider Coursera
sessions On-Demand
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California Institute of Technology University of California, Berkeley

Fundamentos de Inteligência Artifical em Marketing

Welcome to the "Fundamentals of Artificial Intelligence in Marketing" course. This transformative course is crucial as companies reassess their strategies to meet their customers' needs and how customers engage with their services and offerings through mobile devices, the internet of things, or other devices. In this course, you will learn about th.
provider Coursera
sessions On-Demand
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California Institute of Technology University of California, Berkeley

Fundamentos de IA Aplicados ao CRM

Welcome to the "Fundamentos de IA Aplicados ao CRM" course offered by the University of California, Berkeley through Coursera. This course is fundamental in understanding how data-driven decision-making is becoming increasingly essential in the progression of the new economy. Companies that leverage CRM using data not only focus on analyzing number.
provider Coursera
sessions On-Demand
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California Institute of Technology Higher School of Economics

Elaborazione del linguaggio naturale

Explore the fascinating field of Natural Language Processing with the comprehensive course offered by the Higher School of Economics and provided by Federica. This course provides a detailed overview of technologies used in automatic processing of both written and spoken language, with a special focus on human-machine dialogue technologies.Particip.
provider Federica
sessions On-Demand
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California Institute of Technology University of Manchester

NLP Modelos y Algoritmos

Curso de NLP: Modelos y Algoritmos Impartido por la University of Manchester y disponible en Coursera, este curso está diseñado para proporcionarte una comprensión profunda de los algoritmos de Procesamiento de Lenguaje Natural (NLP). A lo largo del curso, explorarás y aplicarás los últimos y más populares algoritos en NLP para resolver problemas e.
provider Coursera
sessions On-Demand
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California Institute of Technology Coursera

Introduction to Applied Machine Learning

Title: Introduction to Applied Machine Learning Description: Join this comprehensive course tailored for professionals keen on integrating machine learning with data analysis and automation across various sectors including finance, medicine, engineering, and business. 'Introduction to Applied Machine Encryption' sets the stage by focusing on proble.
provider Coursera
sessions On-Demand
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California Institute of Technology Coursera

Machine Learning Introduction for Everyone

Machine Learning Introduction for Everyone is a comprehensive three-module course available on Coursera, designed to introduce machine learning and data science fundamentals to learners. This course is well-suited for individuals looking to grasp essential machine learning models and applications. The curriculum covers the historical context of mac.
provider Coursera
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!