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  • 1
    UID:
    edoccha_BV047553163
    Format: 1 Online-Ressource (xv, 569 Seiten) : , Illustrationen.
    ISBN: 978-981-16-3840-4
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-16-3839-8
    Language: English
    Keywords: Umweltschutz ; Mikrobiologie
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    UID:
    almahu_BV047553163
    Format: 1 Online-Ressource (xv, 569 Seiten) : , Illustrationen.
    ISBN: 978-981-16-3840-4
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-16-3839-8
    Language: English
    Keywords: Umweltschutz ; Mikrobiologie
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    UID:
    almafu_BV047553163
    Format: 1 Online-Ressource (xv, 569 Seiten) : , Illustrationen.
    ISBN: 978-981-16-3840-4
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-16-3839-8
    Language: English
    Keywords: Umweltschutz ; Mikrobiologie
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
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  • 4
    UID:
    edocfu_BV047553163
    Format: 1 Online-Ressource (xv, 569 Seiten) : , Illustrationen.
    ISBN: 978-981-16-3840-4
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-16-3839-8
    Language: English
    Keywords: Umweltschutz ; Mikrobiologie
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
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  • 5
    UID:
    b3kat_BV047553163
    Format: 1 Online-Ressource (xv, 569 Seiten) , Illustrationen
    ISBN: 9789811638404
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-16-3839-8
    Language: English
    Keywords: Umweltschutz ; Mikrobiologie
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
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  • 6
    Online Resource
    Online Resource
    Birmingham :Packt Publishing, Limited,
    UID:
    edocfu_9961563900102883
    Format: 1 online resource (63 p.)
    ISBN: 9781836207450
    Content: Unlock the secrets of math and statistics to elevate your machine learning skills. This comprehensive course covers key concepts, from central tendency to gradient descent, essential for any aspiring data scientist. Key Features Detailed exploration of key mathematical and statistical concepts for Machine Learning. Logical flow from basic to advanced topics for seamless knowledge building. Engaging materials designed to enhance learning and retention. Book Description Beginning with basic concepts like central tendency, dispersion, and types of distribution, this course will help you build a robust understanding of data analysis. It progresses to more advanced topics, including hypothesis testing, outliers, and the intricacies of dependent versus independent variables, ensuring you grasp the statistical tools necessary for data-driven decision-making. Moving ahead, you'll explore the mathematical frameworks crucial for machine learning algorithms. Learn about the significance of percentiles, the distinction between population and sample, and the vital role of precision versus accuracy in data science. Chapters on linear algebra and regression will enhance your ability to implement and interpret complex models, while practical lessons on measuring algorithm accuracy and understanding key machine learning concepts will round out your expertise. The course culminates with an in-depth look at specific machine learning techniques such as decision trees, k-nearest neighbors (kNN), and gradient descent. Each chapter builds on the last, guiding you through a logical progression of knowledge and skills. By the end, you will have not only mastered the theoretical aspects but also gained practical insights into applying these techniques in real-world scenarios. What you will learn Master the fundamentals of central tendency and dispersion. Understand the different types of data distributions. Differentiate between precision and accuracy in data analysis. Conduct hypothesis testing and identify outliers. Apply linear algebra and regression techniques in machine learning. Implement decision trees, kNN, & gradient descent algorithms. Who this book is for This course is designed for technical professionals, data analysts, and aspiring data scientists who are keen to deepen their understanding of the mathematical and statistical principles behind machine learning. Ideal for those with a basic grasp of algebra and statistics, this course will elevate your data analysis capabilities and enhance your proficiency in developing and fine-tuning machine learning models. Familiarity with programming concepts is recommended to fully benefit from the course content.
    Note: Description based upon print version of record.
    Language: English
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  • 7
    UID:
    gbv_1772250767
    Format: 1 Online-Ressource(XV, 569 p. 39 illus., 32 illus. in color.)
    Edition: 1st ed. 2021.
    ISBN: 9789811638404
    Content: 1 Microbial World for Sustainable Development -- 2 Insights into the rhizospheric microbes and their application for sustainable agriculture -- 3 Different biofertilizers and their application for sustainable development -- 4 Microbial mediated natural farming for sustainable environment -- 5 Rhizosphere Manipulations for Sustainable Plant Growth Promotion -- 6 Rhizospheric Microbes and their mechanism -- 7 Endophytes and Their Applications as Biofertilizers -- 8 Microbial Action On Degradation Of Pesticides -- 9 Biofortification of Plants by using microbes -- 10 Microbial Biopesticides - Development and Application -- 11 Microbial consortia and their application for the development of sustainable environment -- 12 Microbial engineering and applications for the development of value added products -- 13 Plant Growth Promoting Rhizobacteria and their application in sustainable crop production -- 14 Reinstating Microbial Diversity in Degraded Ecosystems for Enhancing their Functioning and Sustainability -- 15 Recent advancements and mechanism of microbial enzymes in sustainable agriculture -- 16 Application of microbial technology for waste removal -- 17 Metagenomics: Insights into microbial removal of the contaminants -- 18 Methods of strain improvement for crop improvement -- 19 Microbial technologies in pest and disease management of tea (Camellia sinensis (L.) O. Kuntze) -- 20 Field Application of the Microbial Technology and Its Importance in Sustainable Development -- 21 Solubilization of Micronutrients using Indigenous Microorganisms -- 22 Synergistic interaction of methanotrophs and methylotrophs in regulating methane emission -- 23 Biopesticides: An alternative to synthetic insecticides -- 24 Impact of pesticides on microbial population -- 25 Microbe mediated removal of xenobiotics for sustainable environment -- 26 Harnessing The Rhizomcrobiome Interactions For Plant Growth Promotion And Sustainable Agriculture: Mechanisms, Applications And Recent Advances -- 27 Fungal mycelium-based biocomposites—an emerging source of renewable materials -- 28 An endophytic bacterial approach: A key regulator of drought stress tolerance in plants.
    Content: Microorganisms are ubiquitous on earth. These microorganisms are able to perform various functions in the environment. Microbial applications are used as biofertilizers, bioremediation, biofortification and other sustainable approaches of environmental development. Indigenous microbial cultures have the potential to perform various functions that are beneficial to achieve the sustainable goals. To date, different strains have been commercialized for the industrial and common applications for the sustainable environment. This book will cover different aspects of microbial technology for sustainable development.
    Additional Edition: ISBN 9789811638398
    Additional Edition: ISBN 9789811638411
    Additional Edition: ISBN 9789811638428
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9789811638398
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9789811638411
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9789811638428
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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