All current Anomaly Detection Courses courses in 2024
41 Courses
Découvrir l'IA générative
Découvrir l'IA Générative | LinkedIn Learning
Explorez le monde fascinant de l'IA générative avec ce cours de LinkedIn Learning. En vous inscrivant, vous apprendrez les fondamentaux de l'intelligence artificielle générative, y compris son évolution historique, les modèles et technologies actuels, et comment ils fonctionnent. Découvrez les impl.

Applications of TinyML
Discover the world of Tiny Machine Learning (TinyML) and explore its vast applications with the "Applications of TinyML" course provided by Harvard University through edX. This course, following the Foundations of Tiny ML, delves into how devices like Google Home process commands like “OK Google,” and whether these devices are constantly listening..

Artificial Intelligence (AI) Concepts in Python
Unlock the mysteries of Artificial Intelligence (AI) and Machine Learning with our comprehensive course, designed to demystify the buzz around AI. Dive into the essential concepts and practical applications of Machine Learning, Deep Learning, Predictive Analytics, and beyond. Explore how AI can be leveraged for tasks like recognizing handwritten di.

Stanford Seminar - Failures & Where to Find Them: Considering Safety as a Function of Structure
Join us for an engaging seminar at Stanford University, focusing on the intricate relationship between structure and safety in the constantly evolving fields of autonomous systems and robotics. This event, available through YouTube, delves into how our day-to-day lives are being reshaped by these technologies. Through a comprehensive analysis, the.

Advanced AI Techniques for the Supply Chain
Unlock the potential of advanced AI in optimizing your supply chain with our comprehensive course offered through Coursera. Delve into sophisticated machine learning methods designed to address complex challenges across supply chain operations. This course kicks off with a detailed exploration of ML paradigms, including regression and classificatio.

Applied AI for IT Operations
Title: Applied AI for IT Operations
Description: Dive into the transformative potential of AI in the IT operations field with this insightful course. Discover practical use cases and master the application of AI technologies to overcome typical obstacles encountered in IT ops. From anomaly detection to deep learning with Keras and leveraging LSTM f.

Formação Inteligência Artificial e Machine Learning
Descubra o futuro da tecnologia com o curso mais completo e atualizado de Inteligência Artificial e Machine Learning disponível em 2023, oferecido pela Udemy. Aprenda a dominar Python e mergulhe nas profundezas da Inteligência Artificial, aprendendo sobre Detecção de Anomalias, Deep Learning e muito mais. Este curso é essencial para quem deseja se.

Microsoft Azure AI Fundamentals: AI Overview
Title: Microsoft Azure AI Fundamentals: AI Overview
Description: Embark on a foundational journey with the Microsoft Azure AI Fundamentals course. Gear up for an in-depth exploration starting with Module 1: Get started with AI on Azure. This initial module sets the stage by unveiling the myriad of solutions AI empowers users with, alongside emphasi.
Deploy and Test a Visual Inspection AI Cosmetic Anomaly Detection Solution
Embark on a self-paced journey to mastery with a cutting-edge lab designed for those interested in enhancing their skills in artificial intelligence and anomaly detection. Hosted on the reputable Google Cloud console and offered through Coursera, this course focuses on deploying and testing a visual inspection AI specifically tailored for cosmetic.

Deploy and Test a Visual Inspection AI Component Anomaly Detection Solution
Explore the realms of artificial intelligence and anomaly detection with an interactive, self-paced lab offered through Coursera. In this concise yet comprehensive course, participants will delve into the practical application of deploying and testing a Visual Inspection AI Component Anomaly Detection Solution, using the robust Google Cloud console.
