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Hsuan-Tien Lin > MOOCs - 國立臺灣大學
The two MOOCs are Machine Learning Foundations (Mathematical, Algorithmic) and Machine Learning Techniques and are based on the textbook Learning from Data: A Short Course that I co-authored. The book is consistently among the best sellers in Machine Learning on Amazon.

Predicting the 10-year risk of cataract surgery using machine learning ...
Background/aims To investigate the feasibility and accuracy of using machine learning (ML) techniques on self-reported questionnaire data to predict the 10-year risk of cataract surgery, and to identify meaningful predictors of cataract surgery in middle-aged and older Australians. Methods Baseline information regarding demographic, socioeconomic, medical history and family history, lifestyle ...

Mathematics for Machine Learning | Companion webpage to the book ...
The book is not intended to cover advanced machine learning techniques because there are already plenty of books doing this. Instead, we aim to provide the necessary mathematical skills to read those other books. The book is available at published by Cambridge University Press (published April 2020).

Research, News, and Perspectives - Trend Micro
DeimosC2: What SOC Analysts and Incident Responders Need to Know About This C&C Framework . This report provides defenders and security operations center teams with the technical details they need to know should they encounter the DeimosC2 C&C framework.

NVIDIA Blog: Supervised Vs. Unsupervised Learning
What's the difference between supervised, unsupervised, semi-supervised, and reinforcement learning? Based on the kind of data available and the research question at hand, a scientist will choose to train an algorithm using a specific learning model.

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GLCF is the largest FREE source of Landsat Data

Elements of Statistical Learning: data mining, inference, and ...
The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Second Edition February 2009

Google Scholar Citations
Google Scholar Citations lets you track citations to your publications over time.

Gartner Top Data and Analytics Trends for 2021
Explore the latest: Gartner Top 12 Data and Analytics Trends for 2022 When COVID-19 hit, organizations using traditional analytics techniques that rely heavily on large amounts of historical data realized one important thing: Many of these models are no longer relevant.

[2211.12666] Inferring Maps of the Sun's Far-side Unsigned Magnetic ...
Accurate modeling of the Sun's coronal magnetic field and solar wind structures require inputs of the solar global magnetic field, including both the near and far sides, but the Sun's far-side magnetic field cannot be directly observed. However, the Sun's far-side active regions are routinely monitored by helioseismic imaging methods, which only require continuous near-side observations. It is ...

 

         

 

 

 

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