Explore key ideas in Artificial Intelligence (AI) while delving into trending developments in the field. Examines AI tools and frameworks to enable collaboration effectively and efficiently across technical and non-technical stakeholders. Analyze topics such as AI-enabled perception, representation, reasoning, and learning as contextualized by societal impact. Equips students with the knowledge and skills necessary to confidently navigate the ever-evolving landscape of artificial intelligence
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octobre 2024
15 devoirs
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Il y a 4 modules dans ce cours
This module provides a definition of artificial intelligence and puts the advancements into a historical perspective. You will learn how AI mimics human senses to perform tasks that allow advanced technologies such as self-driving cars.
Inclus
1 vidéo8 lectures5 devoirs1 sujet de discussion
Welcome to the "AI Tools and Business Strategies", where we'll explore the essential tools and platforms that power AI development and deployment. We will also look at how AI is impacting businesses and business strategy.
Inclus
5 lectures1 devoir
In this module we explore the crucial stages of handling and utilizing data effectively within AI projects. We start by exploring differences between structured and unstructured data. Then we will discuss understanding the opportunities to integrate AI to meet business needs. Finally, we'll take a look at how different industries are already doing this.
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1 vidéo7 lectures6 devoirs
In this module we will discuss discussing utilising visual tools and descriptive statistics to extract insights into the data. This will help us to define and select features critical for predictive modeling.
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4 lectures3 devoirs1 évaluation par les pairs
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Recommandé si vous êtes intéressé(e) par Machine Learning
Google Cloud
University of California, Davis
Scrimba
Johns Hopkins University
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