Search result for Ai and machine learning Online Courses & Certifications
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Knowledge-Based AI: Cognitive Systems
by Ashok Goel , David Joyner- 0.0
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Approx. 7 weeks
The twin goals of knowledge-based artificial intelligence (AI) are to build AI agents capable of human-level intelligence and gain insights into human cognition. lesson 1 Introduction to KBAI and Cognitive Systems Where Knowledge-Based AI fits into AI as a whole Cognitive systems: what are they? AI and cognition: how are they connected?...
Free
Artificial Intelligence Algorithms Models and Limitations
by Brent Summers- 4.7
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Approx. 8 hours to complete
As machine learning models begin making important decisions based on massive datasets, we need to be aware of their limitations in the real world. Whether it's making loan decisions or re-routing traffic, machine learning models need to accurately reflect our shared values. AI and Model Outcomes AI - Balancing morals and profit...
Applying Machine Learning to your Data with GCP
by Google Cloud Training- 4.7
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Approx. 10 hours to complete
In this module, we define what Machine Learning is and how it can benefit your business. In the interactive labs, you will practice invoking the pretrained ML APIs available as well as build your own Machine Learning models using just SQL with BigQuery ML. Introduction to Machine Learning Introduction to Machine Learning...
Intro to Machine Learning with TensorFlow
by Cezanne Camacho , Mat Leonard , Luis Serrano , Dan Romuald Mbanga , Jennifer Staab , Sean Carrell , Josh Bernhard , Jay Alammar , Andrew Paster , Juan Delgado , Michael Virgo- 0.0
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3 months
In this program, you’ll apply machine learning techniques to a variety of real-world tasks, such as customer segmentation and image classification. Then, use these skills to test and deploy machine learning models in a production environment. This program emphasizes practical coding skills that demonstrate your ability to apply machine learning techniques to a variety of business and research tasks....
Intro to Machine Learning with PyTorch
by Cezanne Camacho , Mat Leonard , Luis Serrano , Dan Romuald Mbanga , Jennifer Staab , Sean Carrell , Josh Bernhard , Jay Alammar , Andrew Paster- 0.0
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3 months
In this program, you’ll apply machine learning techniques to a variety of real-world tasks, such as customer segmentation and image classification. Then, use these skills to test and deploy machine learning models in a production environment. This program emphasizes practical coding skills that demonstrate your ability to apply machine learning techniques to a variety of business and research tasks....
Introduction to Embedded Machine Learning
by Shawn Hymel , Alexander Fred-Ojala- 4.8
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Approx. 17 hours to complete
Machine learning (ML) 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. Limitations and Ethics of Machine Learning Machine Learning on Embedded Devices Machine Learning and Limitations...
Getting Started with AI using IBM Watson
by Rav Ahuja- 4.5
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Approx. 10 hours to complete
You will understand how Watson works, become familiar with its use cases and real life client examples, and be introduced to several of Watson AI services from IBM that enable anyone to easily apply AI and build smart apps. Making Data and AI Accessible to All What Differentiates Consumer and Business AI Systems...
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Smart Analytics, Machine Learning, and AI on GCP en Français
by Google Cloud Training- 0.0
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Approx. 8 hours to complete
Appliqué aux pipelines de données, le machine learning facilite l'extraction d'informations exploitables à partir des données des entreprises. Dans ce cours, vous allez étudier différentes manières d'inclure le machine learning dans les pipelines de données sur Google Cloud Platform, selon le niveau de personnalisation requis. Machine Learning et IA Création de modèles de machine learning personnalisés...
Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls
by Eric Siegel- 4.8
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Approx. 17 hours to complete
The science behind machine learning intrigues and surprises, and an intuitive understanding is not hard to come by. Machine learning software: dos and don'ts for choosing a tool Machine learning software: how tools vary and how to choose one Machine learning software: dos and don'ts for choosing a tool Machine learning software: how tools vary and how to choose one...
Introduction to Applied Machine Learning
by Anna Koop- 4.7
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Approx. 7 hours to complete
This course is for professionals who have heard the buzz around machine learning and want to apply machine learning to data analysis and automation. Whether finance, medicine, engineering, business or other domains, this course will introduce you to problem definition and data preparation in a machine learning project. What is Artificial Intelligence and Machine Learning?...
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