Machine Learning

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ML Algorithms (Coursera)

Apr 1st 2024
ML Algorithms (Coursera)
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ML Algorithms is the fourth Course in the AWS Certified Machine Learning Specialty specialization. This Course enables learners to deep dive Machine Learning Algorithms. This course is divided into two modules and each module is further segmented by Lessons and Video Lectures.
Apr 1st 2024
Course Auditing
44.00 EUR/month

DevOps, DataOps, MLOps (Coursera)

Apr 1st 2024
DevOps, DataOps, MLOps (Coursera)
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Learn how to apply Machine Learning Operations (MLOps) to solve real-world problems. The course covers end-to-end solutions with Artificial Intelligence (AI) pair programming using technologies like GitHub Copilot to build solutions for machine learning (ML) and AI applications. This course is for people working (or seeking to work) as [...]

MLOps Platforms: Amazon SageMaker and Azure ML (Coursera)

Apr 1st 2024
MLOps Platforms: Amazon SageMaker and Azure ML (Coursera)
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In MLOps Platforms: Amazon SageMaker and Azure ML you will learn the necessary skills to build, train, and deploy machine learning solutions in a production environment using two leading cloud platforms: Amazon Web Services (AWS) and Microsoft Azure. This course is also a great resource for individuals looking to [...]

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 [...]

Building Autonomous AI (Coursera)

Apr 1st 2024
Building Autonomous AI (Coursera)
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Practice makes perfect. It’s true for people learning to master a new skill, and it’s also true for your AI brain. Just as you need the right environment to practice, get feedback and try again, so does your AI brain. In this course, you’ll solve industrial engineering problems inspired [...]

CUDA Advanced Libraries (Coursera)

Apr 1st 2024
CUDA Advanced Libraries (Coursera)
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This course will complete the GPU specialization, focusing on the leading libraries distributed as part of the CUDA Toolkit. Students will learn how to use CuFFT, and linear algebra libraries to perform complex mathematical computations. The Thrust library’s capabilities in representing common data structures and associated algorithms will be [...]

Fundamentos de IA Aplicados ao CRM (Coursera)

Nossas boas-vindas ao Curso Fundamentos de IA Aplicados ao CRM. Neste curso, você aprenderá que, conforme a nova economia avança, o mercado se torna mais dependente da coleta, estruturação e análise de dados. Por isso, decisões baseadas em dados têm se tornado tão importantes para companhias que querem [...]

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

Unsupervised Algorithms in Machine Learning (Coursera)

Apr 1st 2024
Unsupervised Algorithms in Machine Learning (Coursera)
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In this course, we will learn selected unsupervised learning methods for dimensionality reduction, clustering, finding latent features, and application cases such as recommender system with hands-on examples of product recommendation algorithms.

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 [...]