This podcast/discussion explores data science techniques and their applications in solving real-world problems across various industries. It provides practical examples and data science methodologies used in fields like healthcare, environmental sustainability, social impact initiatives, business optimization, financial services, and technology and user experience enhancement. 

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Data Science Techniques for Solving Real-World Problems

This episode provides an overview of machine learning, a field of computer science that focuses on creating algorithms that can learn from data. First, it defines machine learning and artificial intelligence and discusses why machine learning is important today. It also explores use cases and ethical challenges associated with machine learning. Then it reviews the different categories of machine learning, such as supervised, unsupervised, and reinforcement learning. It examines the applications and use cases for each type of machine learning and the challenges associated with using each type of algorithm.

Brief introduction to machine learning

Approfondi ton savoir concernant la thématique du Machine Learning et découvre ce que signifie apprentissage supervisé, non supervisé ainsi que l'apprentissage par renforcement!

Comment apprend une intelligence artificielle?

Machine learning is transforming business from every angle. Learn how machine learning is driving operational efficiency, improving customer experience and helping to solve business problems.

TechTrends

The Age of Decisioning

Robust Random Cut Forest is a new algorithm for detecting pattern anomalies in real-time. It uses both unsupervised learnings as well as supervised learning. Know more on how it detects fraud in real-time.

Anomaly Detection In Real-Time Streaming Analytics

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Ecoute nous et apprends en plus sur la thématique de la technologie en compagnie de Steve, Stéphane et Frédéric!

Accion Labs is a global technology services firm with specialized focus on servicing enterprise and technology firms in emerging technologies.

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