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Machine learning fundamentals
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ISBN: 9781108938051 9781108837040 9781108940023 1108940021 1108837042 Year: 2021 Publisher: Cambridge Cambridge University Press

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"This lucid, accessible introduction to supervised machine learning presents core concepts in a focused and logical way that is easy for beginners to follow. The author assumes basic calculus, linear algebra, probability and statistics but no prior exposure to machine learning. Coverage includes widely used traditional methods such as SVMs, boosted trees, HMMs, and LDAs, plus popular deep learning methods such as convolution neural nets, attention, transformers, and GANs. Organized in a coherent presentation framework that emphasizes the big picture, the text introduces each method clearly and concisely "from scratch" based on the fundamentals. All methods and algorithms are described by a clean and consistent style, with a minimum of unnecessary detail. Numerous case studies and concrete examples demonstrate how the methods can be applied in a variety of contexts. Hui Jiang is Professor of Electrical Engineering and Computer Science at York University, where he has been since 2002. His main research interests include machine learning, particularly deep learning, and its applications to speech and audio processing, natural language processing, and computer vision. Over the past 30 years, he has worked on a wide range of research problems from these areas and published hundreds of technical articles and papers in the mainstream journals and top-tier conferences. His works have won the prestigious IEEE Best Paper Award and the ACL Outstanding Paper honor"--


Book
Machine learning fundamentals : a concise introduction
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ISBN: 1108945538 1108938051 9781108945530 9781108938051 Year: 2021 Publisher: Cambridge : Cambridge University Press,

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This lucid, accessible introduction to supervised machine learning presents core concepts in a focused and logical way that is easy for beginners to follow. The author assumes basic calculus, linear algebra, probability and statistics but no prior exposure to machine learning. Coverage includes widely used traditional methods such as SVMs, boosted trees, HMMs, and LDAs, plus popular deep learning methods such as convolution neural nets, attention, transformers, and GANs. Organized in a coherent presentation framework that emphasizes the big picture, the text introduces each method clearly and concisely "from scratch" based on the fundamentals. All methods and algorithms are described by a clean and consistent style, with a minimum of unnecessary detail. Numerous case studies and concrete examples demonstrate how the methods can be applied in a variety of contexts.


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Interleukin-33 Biology in Tissue Development, Homeostasis and Disease
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ISBN: 2889662349 Year: 2020 Publisher: Frontiers Media SA

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Biosensing and Bioimaging : Trends and Perspective
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Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

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Biosensing and bioimaging techniques largely promote the accurate diagnosis of intractable diseases, such as cancers, on the basis of specific molecular targets, or as-called biomarkers. To realize the assays with ultrahigh sensitivity and selectivity, the wide application of molecular biology and nanotechnology are of great necessity. Both directions may offer effective signal amplification strategies, as well as inhibition of cross-reaction interference. Therefore, this Special Issue, “Biosensing and Bioimaging: Trends and Perspective”, highlights the recent developments in intelligent biomolecule/nanostructure-based probes for bioimaging and biosensing applications. It consists of five peer-reviewed papers that cover current hot topics, such as biodegradable materials, DNA assembly, shRNA delivery and chimeric proteins, which will provide a unique perspective of advanced biosensing and bioimaging techniques.


Book
Statistical Methods for the Analysis of Genomic Data
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Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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In recent years, technological breakthroughs have greatly enhanced our ability to understand the complex world of molecular biology. Rapid developments in genomic profiling techniques, such as high-throughput sequencing, have brought new opportunities and challenges to the fields of computational biology and bioinformatics. Furthermore, by combining genomic profiling techniques with other experimental techniques, many powerful approaches (e.g., RNA-Seq, Chips-Seq, single-cell assays, and Hi-C) have been developed in order to help explore complex biological systems. As a result of the increasing availability of genomic datasets, in terms of both volume and variety, the analysis of such data has become a critical challenge as well as a topic of great interest. Therefore, statistical methods that address the problems associated with these newly developed techniques are in high demand. This book includes a number of studies that highlight the state-of-the-art statistical methods for the analysis of genomic data and explore future directions for improvement.


Book
Biosensing and Bioimaging : Trends and Perspective
Authors: ---
Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

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Biosensing and bioimaging techniques largely promote the accurate diagnosis of intractable diseases, such as cancers, on the basis of specific molecular targets, or as-called biomarkers. To realize the assays with ultrahigh sensitivity and selectivity, the wide application of molecular biology and nanotechnology are of great necessity. Both directions may offer effective signal amplification strategies, as well as inhibition of cross-reaction interference. Therefore, this Special Issue, “Biosensing and Bioimaging: Trends and Perspective”, highlights the recent developments in intelligent biomolecule/nanostructure-based probes for bioimaging and biosensing applications. It consists of five peer-reviewed papers that cover current hot topics, such as biodegradable materials, DNA assembly, shRNA delivery and chimeric proteins, which will provide a unique perspective of advanced biosensing and bioimaging techniques.


Book
Statistical Methods for the Analysis of Genomic Data
Authors: ---
Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

In recent years, technological breakthroughs have greatly enhanced our ability to understand the complex world of molecular biology. Rapid developments in genomic profiling techniques, such as high-throughput sequencing, have brought new opportunities and challenges to the fields of computational biology and bioinformatics. Furthermore, by combining genomic profiling techniques with other experimental techniques, many powerful approaches (e.g., RNA-Seq, Chips-Seq, single-cell assays, and Hi-C) have been developed in order to help explore complex biological systems. As a result of the increasing availability of genomic datasets, in terms of both volume and variety, the analysis of such data has become a critical challenge as well as a topic of great interest. Therefore, statistical methods that address the problems associated with these newly developed techniques are in high demand. This book includes a number of studies that highlight the state-of-the-art statistical methods for the analysis of genomic data and explore future directions for improvement.


Book
Biosensing and Bioimaging : Trends and Perspective
Authors: ---
Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

Biosensing and bioimaging techniques largely promote the accurate diagnosis of intractable diseases, such as cancers, on the basis of specific molecular targets, or as-called biomarkers. To realize the assays with ultrahigh sensitivity and selectivity, the wide application of molecular biology and nanotechnology are of great necessity. Both directions may offer effective signal amplification strategies, as well as inhibition of cross-reaction interference. Therefore, this Special Issue, “Biosensing and Bioimaging: Trends and Perspective”, highlights the recent developments in intelligent biomolecule/nanostructure-based probes for bioimaging and biosensing applications. It consists of five peer-reviewed papers that cover current hot topics, such as biodegradable materials, DNA assembly, shRNA delivery and chimeric proteins, which will provide a unique perspective of advanced biosensing and bioimaging techniques.


Book
Miniwoordenboek Chinees-Nederlands, Nederlands-Chinees
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ISBN: 9789066483903 Year: 2010 Publisher: Utrecht Antwerpen Van Dale

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Nederlands-Chinees en Chinees-Nederlands in één band in zakformaat.


Multi
Diabetic Retinopathy : Methods and Protocols
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ISBN: 9781071632550 9781071632543 9781071632567 9781071632574 Year: 2023 Publisher: New York, NY Springer, Imprint: Humana

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Human medicine

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