Neural Networks

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Supervised Text Classification for Marketing Analytics (Coursera)

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 [...]

Machine Learning for Investment Professionals (Coursera)

Feb 6th 2023
Machine Learning for Investment Professionals (Coursera)
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This course is uniquely tailored to the needs of investment professionals or those with investment industry knowledge who want to develop a basic, practical understanding of machine learning techniques and how they are used in the investment process. Incorporating real-life case studies, this course covers both the technical and [...]
Feb 6th 2023
Course Auditing
42.00 EUR/month

Deep Learning Applications for Computer Vision (Coursera)

This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. [...]

Introducción al Aprendizaje Profundo (Coursera)

Este curso te brindará los conocimientos introductorios sobre Aprendizaje Profundo, vas a entender los fundamentos teóricos y su implementación . Se comenzará entendiendo cómo evolucionó el campo hasta llegar a las redes profundas y cuáles son sus principales beneficios frente a otras técnicas de aprendizaje supervisado, así como también [...]

Introduction to Embedded Machine Learning (Coursera)

Feb 6th 2023
Introduction to Embedded Machine Learning (Coursera)
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Machine learning allows us to teach computers to make predictions and decisions based on data and learn from experiences. In recent years, incredible optimizations have been made to machine learning algorithms, software frameworks, and embedded hardware. Thanks to this, running deep neural networks and other complex machine learning algorithms [...]

Deep Learning and Reinforcement Learning (Coursera)

Feb 6th 2023
Deep Learning and Reinforcement Learning (Coursera)
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This course introduces you to two of the most sought-after disciplines in Machine Learning: Deep Learning and Reinforcement Learning. Deep Learning is a subset of Machine Learning that has applications in both Supervised and Unsupervised Learning, and is frequently used to power most of the AI applications that we [...]
Feb 6th 2023
Course Auditing
32.00 EUR/month

Introduction to Deep Learning & Neural Networks with Keras (Coursera)

Feb 6th 2023
Introduction to Deep Learning & Neural Networks with Keras (Coursera)
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Looking to start a career in Deep Learning? Look no further. This course will introduce you to the field of deep learning and help you answer many questions that people are asking nowadays, like what is deep learning, and how do deep learning models compare to artificial neural networks? [...]

Introduction to Machine Learning (Coursera)

This course will provide you a foundational understanding of machine learning models (logistic regression, multilayer perceptrons, convolutional neural networks, natural language processing, etc.) as well as demonstrate how these models can solve complex problems in a variety of industries, from medical diagnostics to image recognition to text prediction. [...]

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning (Coursera)

If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the upcoming Machine Learning in Tensorflow Specialization and will teach you best practices for using TensorFlow, a popular open-source [...]

Introduction to Deep Learning (Coursera)

Deep Learning is the go-to technique for many applications, from natural language processing to biomedical. Deep learning can handle many different types of data such as images, texts, voice/sound, graphs and so on. This course will cover the basics of DL including how to build and train multilayer perceptron, [...]