Learning with Uncertainty

✍ Xizhao Wang, Junhai Zhai 📂 Library 📅 2017 🏛 CRC Press 🌐 English

<P>Learning with uncertainty covers a broad range of scenarios in machine learning, this book mainly focuses on: (1) Decision tree learning with uncertainty, (2) Clustering under uncertainty environment, (3) Active learning based on uncertainty criterion, and (4) Ensemble learning in a framework of

Learning with uncertainty

📁 Learning with uncertainty

✍ Wang, Xizhao; Zhai, Junhai 📂 Library 📅 2017 🏛 CRC Press 🌐 English

<P>Learning with uncertainty covers a broad range of scenarios in machine learning, this book mainly focuses on: (1) Decision tree learning with uncertainty, (2) Clustering under uncertainty environment, (3) Active learning based on uncertainty criterion, and (4) Ensemble learning in a framework of

Reckoning with Risk: Learning to Live wi

📁 Reckoning with Risk: Learning to Live with Uncertainty

✍ Gerd Gigerenzer 📂 Library 📅 2003 🏛 Penguin Books Ltd 🌐 English

Gerd Gigerenzer's "Reckoning with Risk: Learning to Live with Uncertainty" illustrates how we can learn to make sense of statistics and turn ignorance into insight. However much we want certainty in our lives, it feels as if we live in an uncertain and dangerous world. But are we guilty of wildly ex

Reckoning with risk: learning to live wi

📁 Reckoning with risk: learning to live with uncertainty

✍ Gigerenzer, Gerd 📂 Library 📅 2009;2003 🏛 Penguin Books Ltd 🌐 English

pt. I. Dare to know: Uncertainty -- The illusion of certainty -- Innumeracy -- Insight -- pt. II. Understanding uncertainties in the real world: Breast cancer screening -- (Un)informed consent -- AIDS counselling -- Wife battering -- Experts on trial -- DNA fingerprinting -- Violent people -- pt. II

The Certainty of Uncertainty

📁 The Certainty of Uncertainty

✍ Poerksen, Bernhard;Koeck, Alison;Koeck, Wolfram 📂 Library 📅 2013 🏛 Andrews UK 🌐 English

Nothing that can be said is independent of us. Whatever can be said is coloured by our dreams and aspirations, by the way our brain works, by human nature and human culture. Whoever claims to know or to observe is - according to the central constructivist assumption - inescapably biased.  This book

Probability for Machine Learning - Disco

📁 Probability for Machine Learning - Discover How To Harness Uncertainty With Python

✍ Jason Brownlee 📂 Library 📅 2020 🌐 English

Probability is the bedrock of machine learning. You cannot develop a deep understanding and application of machine learning without it. Cut through the equations, Greek letters, and confusion, and discover the topics in probability that you need to know. Using clear explanations, standard Pyth