Des neurones à la psyché, Introduction aux réseaux de neurones biologiques et artificiels (FUN)

Coursera

FIA Business School

Engajamento, Conversão e o Consumidor (Coursera)

Marketing & Communication

Nossas boas-vindas ao Curso Engajamento, Conversão e o Consumidor. Neste curso, você aprenderá sobre as diferentes técnicas de análise de dados que permitem acompanhar e monitorar o consumidor com relação ao seu engajamento e aos seus níveis de conversão.

Jun 15th 2026

4 Weeks

Marketing Data Analysis Regression Models

Details

Coursera

DeepLearning.AI

Custom Models, Layers, and Loss Functions with TensorFlow (Coursera)

Data Science

In this course, you will: • Compare Functional and Sequential APIs, discover new models you can build with the Functional API, and build a model that produces multiple outputs including a Siamese network; • Build custom loss functions (including the contrastive loss function used in a Siamese network) in order to measure how well a model is doing and help your neural network learn from training data; • Build off of existing standard layers to create custom layers for your models, customize a network layer with a lambda layer, understand the differences between them, learn what makes up a custom layer, and explore activation functions; • Build off of existing models to add custom functionality, learn how to define your own custom class instead of using the Functional or Sequential APIs, build models that can be inherited from the TensorFlow Model class, and build a residual network (ResNet) through defining a custom model class.

Jun 15th 2026

5-12 Weeks

Machine Learning Neural Networks Players

Details

FUN

Aix-Marseille Université

Cellular neurophysiology: how neurons communicate (FUN)

Sci: Biology & Life Sciences

How does information circulate in the nervous system? How is the universal language of neurons, the action potential, generated? How does it travel along axons? And how does it influence other neurons? Thanks to this MOOC, you will master these basic principles of neuronal physiology.

Oct 5th 2021

5-12 Weeks

Neurons Cellular Neurophysiology Neuronal Physiology

Details

FUN

CY Cergy Paris Université

S'initier à la Data Science et à ses enjeux (FUN)

CS: Programming Data Science

La Data Science d’un monde qui change ! La Big data, et plus généralement l’analyse de données, occupent une place de plus en plus importante au sein des stratégies de nombreuses organisations. Suivi de performance, analyse des comportements, découvertes de nouvelles opportunités de marché : les applications sont multiples, et intéressent des secteurs variés. Du e-commerce à la finance, en passant par les transports et la santé, les entreprises ont besoin de talents formés à la collecte, au stockage, mais aussi au traitement et à la modélisation des données.

Self Paced

Self-Paced

Artificial Intelligence Machine Learning Big Data

Details

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.

Jun 8th 2026

5-12 Weeks

Machine Learning Computer Vision IoT

Details

Coursera

New York Institute of Finance,Google Cloud

Reinforcement Learning for Trading Strategies (Coursera)

Data Science

In the final course from the Machine Learning for Trading specialization, you will be introduced to reinforcement learning (RL) and the benefits of using reinforcement learning in trading strategies. You will learn how RL has been integrated with neural networks and review LSTMs and how they can be applied to time series data. By the end of the course, you will be able to build trading strategies using reinforcement learning, differentiate between actor-based policies and value-based policies, and incorporate RL into a momentum trading strategy.

Jun 15th 2026

3 Weeks

Machine Learning Neural Networks Trading

Details

Coursera

New York Institute of Finance,Google Cloud

Introduction to Trading, Machine Learning & GCP (Coursera)

Data Science

In this course, you’ll learn about the fundamentals of trading, including the concept of trend, returns, stop-loss, and volatility. You will learn how to identify the profit source and structure of basic quantitative trading strategies. This course will help you gauge how well the model generalizes its learning, explain the differences between regression and forecasting, and identify the steps needed to create development and implementation backtesters. By the end of the course, you will be able to use Google Cloud Platform to build basic machine learning models in Jupyter Notebooks.

Jun 15th 2026

4 Weeks

Finance Machine Learning Neural Networks

Details

Coursera

University of Colorado Boulder

Introduction to Computer Vision (Coursera)

CS: Software Engineering

Introduction to Computer Vision guides learners through the essential algorithms and methods to help computers 'see' and interpret visual data. You will first learn the core concepts and techniques that have been traditionally used to analyze images. Then, you will learn modern deep learning methods, such as neural networks and specific models designed for image recognition, and how it can be used to perform more complex tasks like object detection and image segmentation. Additionally, you will learn the creation and impact of AI-generated images and videos, exploring the ethical considerations of such technology.

Jun 15th 2026

4 Weeks

Neural Networks Computer Vision Image Analysis

Details

Coursera

University of Colorado Boulder

Supervised Text Classification for Marketing Analytics (Coursera)

Statistics & Data Analysis

Marketing data often requires categorization or labeling. In today’s age, marketing data can also be very big, or larger than what humans can reasonably tackle. In this course, students learn how to use supervised deep learning to train algorithms to tackle text classification tasks. Students walk through a conceptual overview of supervised machine learning and dive into real-world datasets through instructor-led tutorials in Python. The course concludes with a major project.

Jun 8th 2026

4 Weeks

Neural Networks Data Analysis Marketing Analytics

Details

Coursera

DeepLearning.AI

AI For Everyone (Coursera)

Business

AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone--especially your non-technical colleagues--to take.

Jun 15th 2026

4 Weeks

Artificial Intelligence Machine Learning Neural Networks

Details

Coursera

Columbia University

Visual Perception (Coursera)

Computer Science

The ultimate goal of a computer vision system is to generate a detailed symbolic description of each image shown. This course focuses on the all-important problem of perception. We first describe the problem of tracking objects in complex scenes. We look at two key challenges in this context. The first is the separation of an image into object and background using a technique called change detection.

Jun 15th 2026

5-12 Weeks

Neural Networks Computer Vision Visual Perception

Details

Coursera

University of Illinois at Urbana-Champaign

Health Data Science Foundation (Coursera)

Data Science

This course is intended for persons involved in machine learning who are interested in medical applications, or vice versa, medical professionals who are interested in the methods modern computer science has to offer to their field. We will cover health data analysis, different types of neural networks, as well as training and application of neural networks applied on real-world medical scenarios.

Jun 15th 2026

4 Weeks

Machine Learning Neural Networks Health Data

Details