Other Providers

Neural Networks (Gashler)

Offered by University of Arkansas,

An introductory course on neural networks by Dr. Michael S. Gashler. 99 lectures, each about 15-minutes long. 6 Programming assignments. 3 reading assignments. 3 self-administered exams.

This course guides students to implement their own neural network code. It also covers a variety of neural net concepts, including basic theory, mathematical derivation, intuition, and some speculation about future directions, but the primary emphasis is on implementation. Students are assumed to already be proficient at computer programming in C++ or Java.

Go to Class

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Coursera

University of London

Machine Learning for All (Coursera)

Data Science Computer Science

Machine Learning, often called Artificial Intelligence or AI, is one of the most exciting areas of technology at the moment. We see daily news stories that herald new breakthroughs in facial recognition technology, self driving cars or computers that can have a conversation just like a real person. Machine Learning technology is set to revolutionise almost any area of human life and work, and so will affect all our lives, and so you are likely to want to find out more about it.

Nov 16th 2026

4 Weeks

Artificial Intelligence Machine Learning AI Technology

Coursera

Politecnico di Milano,EIT Digital

Data Science for Business Innovation (Coursera)

Statistics & Data Analysis Data Science

The course is a compendium of the must-have expertise in data science for executive and middle-management to foster data-driven innovation. It consists of introductory lectures spanning big data, machine learning, data valorization and communication. Topics cover the essential concepts and intuitions on data needs, data analysis, machine learning methods, respective pros and cons, and practical applicability issues.

Nov 16th 2026

4 Weeks

NoSQL Machine Learning Big Data

Other Providers

California Institute of Technology

Machine Learning (Caltech)

Robotics & Computer Vision

A real Caltech course, not a watered-down version. This is an introductory course in machine learning (ML) that covers the basic theory, algorithms, and applications.

Self Paced

Self-Paced

Artificial Intelligence Machine Learning Big Data

Vision Artificielle et Exploitation Intelligente des Ressources Naturelles (EDUlib)

Other Providers

Cégep de Matane

Vision Artificielle et Exploitation Intelligente des Ressources Naturelles (EDUlib)

Robotics & Computer Vision

La vision artificielle est facile à mettre en oeuvre. Identifiez une niche commerciale en survolant une foule d'applications pratiques. Récoltez des données avec un drone. Entraînez des réseaux de neurones. Déployez une application sur un téléphone ou le Web.

Oct 17th 2022

5-12 Weeks

Artificial Intelligence Startup Machine Learning

Coursera

Edge Impulse

Computer Vision with Embedded Machine Learning (Coursera)

Data Science

Computer vision (CV) is a fascinating field of study that attempts to automate the process of assigning meaning to digital images or videos. In other words, we are helping computers see and understand the world around us! A number of machine learning (ML) algorithms and techniques can be used to accomplish CV tasks, and as ML becomes faster and more efficient, we can deploy these techniques to embedded systems.

Nov 23rd 2026

3 Weeks

Machine Learning Computer Vision Object Detection

Coursera

Google Cloud

Attention Mechanism (Coursera)

CS: Information & Technology

This course will introduce you to the attention mechanism, a powerful technique that allows neural networks to focus on specific parts of an input sequence. You will learn how attention works, and how it can be used to improve the performance of a variety of machine learning tasks, including machine translation, text summarization, and question answering.

Nov 16th 2026

1 Week

Machine Learning Neural Networks Attention

Coursera

University of Michigan

Information Extraction from Free Text Data in Health (Coursera)

Sci: Biology & Life Sciences Health & Society

In this MOOC, you will be introduced to advanced machine learning and natural language processing techniques to parse and extract information from unstructured text documents in healthcare, such as clinical notes, radiology reports, and discharge summaries. Whether you are an aspiring data scientist or an early or mid-career professional in data science or information technology in healthcare, it is critical that you keep up-to-date your skills in information extraction and analysis.

Nov 23rd 2026

4 Weeks

Machine Learning Natural Language Natural Language Processing

Coursera

LearnQuest

Developing AI Applications on Azure (Coursera)

Data Science

This course introduces the concepts of Artificial Intelligence and Machine learning. We'll discuss machine learning types and tasks, and machine learning algorithms. You'll explore Python as a popular programming language for machine learning solutions, including using some scientific ecosystem packages which will help you implement machine learning.

Nov 16th 2026

5-12 Weeks

ML Artificial Intelligence Machine Learning

Coursera

University of Illinois at Urbana-Champaign

Machine Learning for Accounting with Python (Coursera)

Data Science

This course, Machine Learning for Accounting with Python, introduces machine learning algorithms (models) and their applications in accounting problems. It covers classification, regression, clustering, text analysis, time series analysis. It also discusses model evaluation and model optimization. This course provides an entry point for students to be able to apply proper machine learning models on business related datasets with Python to solve various problems.

Nov 16th 2026

5-12 Weeks

Algorithms Machine Learning Clustering

Coursera

Google Cloud

Google Cloud Product Fundamentals em Português Brasileiro (Coursera)

Business

Este curso é uma continuação do "Business Transformation with Google Cloud" e guiará você pela jornada de transformação de uma organização do ponto de vista tecnológico. Explicaremos como as organizações podem fazer a transformação digital usando a tecnologia do Google Cloud nestas categorias: modernização da infraestrutura de TI; melhorias no processo de desenvolvimento dos aplicativos da empresa; uso do machine learning e da inteligência artificial para criar novo valor; a importância de ferramentas de produtividade como o G Suite na realização do trabalho; e compreender as oportunidades e os desafios da gestão do custo que uma infraestrutura de TI na nuvem traz.

Nov 23rd 2026

5-12 Weeks

Artificial Intelligence Cloud Machine Learning

Coursera

Arm

Getting Started with Machine Learning at the Edge on Arm (Coursera)

Computer Science

The age of machine learning has arrived! Arm technology is powering a new generation of connected devices with sophisticated sensors that can collect a vast range of environmental, spatial and audio/visual data. Typically this data is processed in the cloud using advanced machine learning tools that are enabling new applications reshaping the way we work, travel, live and play.

Nov 23rd 2026

5-12 Weeks

Machine Learning Computer Vision IoT

Coursera

Sungkyunkwan University - SKKU

Machine Learning Algorithms (Coursera)

CS: Software Engineering Data Science

In this course you will: understand the naïve Bayesian algorithm; understand the Support Vector Machine algorithm; understand the Decision Tree algorithm; understand the Clustering. Please make sure that you’re comfortable programming in Python and have a basic knowledge of mathematics including matrix multiplications, and conditional probability.

Nov 23rd 2026

4 Weeks

Machine Learning Clustering Support Vector Machines