Ajmal Ali Mohammad (23 results)

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

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Taschenbuch. Condition: Neu. Artificial Intelligence and Machine Learning in Bioinformatics | Fundamental Notes For Beginners | Mohammad Ajmal Ali (u. a.) | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786209565540 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

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Condition: New. Presents recent development in the tools and techniques in transcriptomic characterization Integrates expression analysis of transcripts and gene regulation Includes the application of transcriptomics in human health, genetic engi.

Taschenbuch. Condition: Neu. Neuware - Transcriptome Profiling: Progress and Prospects assists readers in assessing and interpreting a large number of genes, up to and including an entire genome. It provides key insights into the latest tools and techniques used in transcriptomics and its relevant topics which can reveal a global snapshot of the complete RNA component of a cell at a given time. This snapshot, in turn, enables the distinction between different cell types, different disease states, and different time points during development. Transcriptome analysis has been a key area of biological inquiry for decades. The next-generation sequencing technologies have revolutionized transcriptomics by providing opportunities for multidimensional examinations of cellular transcriptomes in which high-throughput expression data are obtained at a single-base resolution. Transcriptome analysis has evolved from the detection of single RNA molecules to large-scale gene expression profiling and genome annotation initiatives. Written by a team of global experts, key topics in Transcriptome Profiling include transcriptome characterization, expression analysis of transcripts, transcriptome and gene regulation, transcriptome profiling and human health, medicinal plants transcriptomics, transcriptomics and genetic engineering, transcriptomics in agriculture, and phylotranscriptomics.…

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 264 pp. Englisch.

Condition: new. Questo è un articolo print on demand.

Paperback. Condition: new. Paperback. Artificial Intelligence (AI) and Machine Learning (ML) are transforming science, industry, governance, and everyday life by shaping how data is analyzed, decisions are made, and solutions are developed. This book, Artificial Intelligence and Machine Learning, provides a clear, structured, and learner-centered guide that moves from foundational principles to advanced applications. It introduces core AI concepts, mathematical basics, Python programming, data analysis, feature engineering, and essential machine learning techniques, including supervised and unsupervised learning. Advanced topics such as deep learning, natural language processing, generative AI, large language models, and MLOps are explained in an accessible and practical manner. The book also addresses deployment, ethics, security, and the societal impact of AI, offering a complete lifecycle perspective. Designed for students, educators, researchers, and professionals, it emphasizes conceptual understanding, practical skills, and responsible AI use. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …

Paperback. Condition: Brand New. 524 pages. 9.00x6.00x1.10 inches. In Stock. This item is printed on demand.

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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Artificial Intelligence (AI) and Machine Learning (ML) are transforming science, industry, governance, and everyday life by shaping how data is analyzed, decisions are made, and solutions are developed. This book, Artificial Intelligence and Machine Learning, provides a clear, structured, and learner-centered guide that moves from foundational principles to advanced applications. It introduces core AI concepts, mathematical basics, Python programming, data analysis, feature engineering, and essential machine learning techniques, including supervised and unsupervised learning. Advanced topics such as deep learning, natural language processing, generative AI, large language models, and MLOps are explained in an accessible and practical manner. The book also addresses deployment, ethics, security, and the societal impact of AI, offering a complete lifecycle perspective. Designed for students, educators, researchers, and professionals, it emphasizes conceptual understanding, practical skills, and responsible AI use.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 264 pp. Englisch. …

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