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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"--

Machine learning --- Machine learning. --- COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition

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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.

Machine learning.

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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.

Medicine --- Pharmacology --- Chagas disease --- immunoassays --- chimeric proteins --- stability --- biodegradable materials --- metal-organic framework --- metal ion nodes --- multimode imaging --- theranostic nano-platforms --- MCF-7 cells --- electrochemistry --- 2-D materials --- signal amplification --- DNA assembly --- bio-responsive fluorescent complexes --- shRNA delivery --- LncRNA MALAT1 --- cancer cells bioimaging --- therapeutics --- autophagy --- biosensor --- microfluidics --- organ-on-a-chip --- lung model --- lung-on-a-chip

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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.

Chagas disease --- immunoassays --- chimeric proteins --- stability --- biodegradable materials --- metal-organic framework --- metal ion nodes --- multimode imaging --- theranostic nano-platforms --- MCF-7 cells --- electrochemistry --- 2-D materials --- signal amplification --- DNA assembly --- bio-responsive fluorescent complexes --- shRNA delivery --- LncRNA MALAT1 --- cancer cells bioimaging --- therapeutics --- autophagy --- biosensor --- microfluidics --- organ-on-a-chip --- lung model --- lung-on-a-chip

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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.

Medicine --- Pharmacology --- Chagas disease --- immunoassays --- chimeric proteins --- stability --- biodegradable materials --- metal-organic framework --- metal ion nodes --- multimode imaging --- theranostic nano-platforms --- MCF-7 cells --- electrochemistry --- 2-D materials --- signal amplification --- DNA assembly --- bio-responsive fluorescent complexes --- shRNA delivery --- LncRNA MALAT1 --- cancer cells bioimaging --- therapeutics --- autophagy --- biosensor --- microfluidics --- organ-on-a-chip --- lung model --- lung-on-a-chip --- Chagas disease --- immunoassays --- chimeric proteins --- stability --- biodegradable materials --- metal-organic framework --- metal ion nodes --- multimode imaging --- theranostic nano-platforms --- MCF-7 cells --- electrochemistry --- 2-D materials --- signal amplification --- DNA assembly --- bio-responsive fluorescent complexes --- shRNA delivery --- LncRNA MALAT1 --- cancer cells bioimaging --- therapeutics --- autophagy --- biosensor --- microfluidics --- organ-on-a-chip --- lung model --- lung-on-a-chip