Organic reactions and their mechanisms / Ahluwalia, V. K. (2023) / 978-3-031-15694-6

Public ISBD Titre : Organic reactions and their mechanisms Type de document : texte imprimé Auteurs : Ahluwalia, V. K., Auteur Mention d'édition : Second Edition. Editeur : Cham : Springer Année de publication : 2023 Importance : 1 vol. (XVI-205 p.) Présentation : Couv. ill. en coul. Format : 25cm. ISBN/ISSN/EAN : 978-3-031-15694-6 Note générale : Index p. 203-205 Langues : Anglais (eng) Catégories : 54 CHIMIE, Sciences minéralogiques:547 CHIMIE ORGANIQUE :547.1 Chimie organique en général. Tags : Réactions chimiques organiques  Mécanismes  Synthèse organique  Chemistry  Organic  Technical  Physical and theoretical Index. décimale : 547.1 Résumé : This textbook is intended for undergraduate and graduate students pursuing courses in chemistry and allied fields. It includes fundamental concepts, equations involved in organic reactions, chemical bonds (ionic and covalent bonds), hybridization, representation of a chemical reaction and mechanism of organic reactions. The book also discusses the displacement of bonding electrons involving inductive effect, electromeric effect, mesomeric effect, hyperconjugative effect and resonance. A number of organic reactions involving formation of intermediates such as carbocations, carbanions, free radicals, carbenes, nitrenes and benzynes have also been included. It also discusses different types of reagents involved in a chemical reactions along with types of additional reactions and its detailed mechanism. The book also includes the use of pedagogical elements such as multiple choice questions and end of chapter exercises to aid self-learning among students. (Quatrième de couverture) Note de contenu : Organic Reactions and Their Mechanisms / by V. K. Ahluwalia , 2023. - ISBN 978-3-031-15695-3 Organic reactions and their mechanisms [texte imprimé] / Ahluwalia, V. K., Auteur  . -  Second Edition. . - Cham : Springer, 2023 . - 1 vol. (XVI-205 p.) : Couv. ill. en coul. ; 25cm. ISBN : 978-3-031-15694-6 Index p. 203-205 Langues : Anglais (eng) Catégories : 54 CHIMIE, Sciences minéralogiques:547 CHIMIE ORGANIQUE :547.1 Chimie organique en général. Tags : Réactions chimiques organiques  Mécanismes  Synthèse organique  Chemistry  Organic  Technical  Physical and theoretical Index. décimale : 547.1 Résumé : This textbook is intended for undergraduate and graduate students pursuing courses in chemistry and allied fields. It includes fundamental concepts, equations involved in organic reactions, chemical bonds (ionic and covalent bonds), hybridization, representation of a chemical reaction and mechanism of organic reactions. The book also discusses the displacement of bonding electrons involving inductive effect, electromeric effect, mesomeric effect, hyperconjugative effect and resonance. A number of organic reactions involving formation of intermediates such as carbocations, carbanions, free radicals, carbenes, nitrenes and benzynes have also been included. It also discusses different types of reagents involved in a chemical reactions along with types of additional reactions and its detailed mechanism. The book also includes the use of pedagogical elements such as multiple choice questions and end of chapter exercises to aid self-learning among students. (Quatrième de couverture) Note de contenu : Organic Reactions and Their Mechanisms / by V. K. Ahluwalia , 2023. - ISBN 978-3-031-15695-3

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Statistics for data scientists / Maurits Kaptein / 978-3-030-10530-3

Public ISBD Titre : Statistics for data scientists : an introduction to probability, statistics, and data analysis Type de document : texte imprimé Auteurs : Maurits Kaptein (19..-..), Auteur ; Edwin Van den Heuvel (19..-..), Auteur Editeur : Cham : Springer Collection : Undergraduate topics in computer science, ISSN 2197-1781 Importance : 1 vol. (xxiv-321 p.) Présentation : couv. ill. en coul Format : 24 cm ISBN/ISSN/EAN : 978-3-030-10530-3 Langues : Anglais (eng) Catégories : 51 Mathématiques :519.2 Probabilité. Statistique mathématique Tags : Statistical methods  Data analysis  Inferential statistics  Exploratory data analysis  Regression analysis  Machine learning  Statistical modeling  Probability theory Hypothesis testing  Statistical computing  Data visualization  Predictive analytics  Statistical learning  R programming  Python for statistics. Index. décimale : 519.23 Résumé : This provides an undergraduate introduction to analysing data for science, computer science, and quantitative social science students. It uniquely combines a hands-on approach to data analysis - supported by numerous real data examples and reusable [R] code - with a rigorous treatment of probability and statistical principles. Where contemporary undergraduate textbooks in probability theory or statistics often miss applications and an introductory treatment of modern mehtods (bootstrapping, Bayes, etc.), and where applied data analysis books often miss a rigorous theoretical treatment, this book provides an accessible but thorough introduction into data analysis, using statistical methods combining the two viewpoints. The book further focuses on methods for dealing with large data-sets and streaming-data and hence provides a single-course introduction of statistical methods for date science Statistics for data scientists : an introduction to probability, statistics, and data analysis [texte imprimé] / Maurits Kaptein (19..-..), Auteur ; Edwin Van den Heuvel (19..-..), Auteur . - Cham : Springer, [s.d.] . - 1 vol. (xxiv-321 p.) : couv. ill. en coul ; 24 cm. - (Undergraduate topics in computer science, ISSN 2197-1781) . ISBN : 978-3-030-10530-3 Langues : Anglais (eng) Catégories : 51 Mathématiques :519.2 Probabilité. Statistique mathématique Tags : Statistical methods  Data analysis  Inferential statistics  Exploratory data analysis  Regression analysis  Machine learning  Statistical modeling  Probability theory Hypothesis testing  Statistical computing  Data visualization  Predictive analytics  Statistical learning  R programming  Python for statistics. Index. décimale : 519.23 Résumé : This provides an undergraduate introduction to analysing data for science, computer science, and quantitative social science students. It uniquely combines a hands-on approach to data analysis - supported by numerous real data examples and reusable [R] code - with a rigorous treatment of probability and statistical principles. Where contemporary undergraduate textbooks in probability theory or statistics often miss applications and an introductory treatment of modern mehtods (bootstrapping, Bayes, etc.), and where applied data analysis books often miss a rigorous theoretical treatment, this book provides an accessible but thorough introduction into data analysis, using statistical methods combining the two viewpoints. The book further focuses on methods for dealing with large data-sets and streaming-data and hence provides a single-course introduction of statistical methods for date science

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