Deep Learning

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Machine Learning with Python: from Linear Models to Deep Learning (edX)

May 27th 2024
Machine Learning with Python: from Linear Models to Deep Learning (edX)
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An in-depth introduction to the field of machine learning, from linear models to deep learning and reinforcement learning, through hands-on Python projects. Machine learning methods are commonly used across engineering and sciences, from computer systems to physics. Moreover, commercial sites such as search engines, recommender systems (e.g., Netflix, Amazon), [...]

Advanced Deep Learning Techniques for Computer Vision (Coursera)

Apr 1st 2024
Advanced Deep Learning Techniques for Computer Vision (Coursera)
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Visual inspection and medical imaging are two applications that aim to find anything unusual in images. In this course, you’ll train and calibrate specialized models known as anomaly detectors to identify defects. You’ll also use advanced techniques to overcome common data challenges with deep learning. [...]
Apr 1st 2024
Course Auditing
44.00 EUR/month

Deep Learning for Object Detection (Coursera)

Apr 1st 2024
Deep Learning for Object Detection (Coursera)
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Detecting and locating objects is one of the most common uses of deep learning for computer vision. Applications include helping autonomous systems navigate complex environments, locating medical conditions like tumors, and identifying ready-to-harvest crops in agriculture.
Apr 1st 2024
Course Auditing
44.00 EUR/month

Introduction to Deep Learning for Computer Vision (Coursera)

Apr 1st 2024
Introduction to Deep Learning for Computer Vision (Coursera)
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Starting with zero deep learning knowledge, this foundational course will guide you to effectively train cutting-edge models for image classification purposes. From analyzing medical images to recognizing traffic signs, classification is important for many applications. Classification models also serve as the backbone for more complicated object detection models. [...]
Apr 1st 2024
Course Auditing
44.00 EUR/month

Create Image Captioning Models (Coursera)

Apr 1st 2024
Create Image Captioning Models (Coursera)
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This course teaches you how to create an image captioning model by using deep learning. You learn about the different components of an image captioning model, such as the encoder and decoder, and how to train and evaluate your model. By the end of this course, you will be [...]

Recommender Systems (Coursera)

In this course you will: a) understand the basic concept of recommender systems; b) understand the Collaborative Filtering; c) understand the Recommender System with Deep Learning; d) understand the Further Issues of Recommender Systems. Please make sure that you’re comfortable programming in Python and have a basic knowledge of [...]

Introduction to Machine Learning on AWS (Coursera)

Apr 1st 2024
Introduction to Machine Learning on AWS (Coursera)
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In this course, we start with some services where the training model and raw inference is handled for you by Amazon. We'll cover services which do the heavy lifting of computer vision, data extraction and analysis, language processing, speech recognition, translation, ML model training and virtual agents. You'll think [...]

Machine Learning Introduction for Everyone (Coursera)

Apr 1st 2024
Machine Learning Introduction for Everyone (Coursera)
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This three-module course introduces machine learning and data science for everyone with a foundational understanding of machine learning models. You’ll learn about the history of machine learning, applications of machine learning, the machine learning model lifecycle, and tools for machine learning. You’ll also learn about supervised versus unsupervised learning, [...]
Apr 1st 2024
Course Auditing
42.00 EUR

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 [...]

Explainable deep learning models for healthcare - CDSS 3 (Coursera)

Apr 1st 2024
Explainable deep learning models for healthcare - CDSS 3 (Coursera)
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This course will introduce the concepts of interpretability and explainability in machine learning applications. The learner will understand the difference between global, local, model-agnostic and model-specific explanations. State-of-the-art explainability methods such as Permutation Feature Importance (PFI), Local Interpretable Model-agnostic Explanations (LIME) and SHapley Additive exPlanation (SHAP) are explained and [...]