Numsense! Data Science for the Layman: No Math Added (Paperback)
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Bester Preis: € 17,55 (vom 21.07.2017)1
Numsense Data Science for the Layman: No Math Added
EN PB NWISBN: 9789811110689 bzw. 9811110689, in Englisch, Annalyn Ng & Kenneth Soo, Taschenbuch, neu.
Von Händler/Antiquariat, BuySomeBooks [52360437], Las Vegas, NV, U.S.A.
Paperback. 146 pages. Dimensions: 9.0in. x 6.0in. x 0.3in.Want to get started on data science Our promise: no math added. This book has been written in laymans terms as a gentle introduction to data science and its algorithms. Each algorithm has its own dedicated chapter that explains how it works, and shows an example of a real-world application. To help you grasp key concepts, we stick to intuitive explanations, as well as lots of visuals, all of which are colorblind-friendly. Popular concepts covered include: AB Testing Anomaly Detection Association Rules Clustering Decision Trees and Random Forests Regression Analysis Social Network Analysis Neural Networks Features: Intuitive explanations and visuals Real-world applications to illustrate each algorithm Point summaries at the end of each chapter Reference sheets comparing the pros and cons of algorithms Glossary list of commonly-used terms With this book, we hope to give you a practical understanding of data science, so that you, too, can leverage its strengths in making better decisions. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN.
Paperback. 146 pages. Dimensions: 9.0in. x 6.0in. x 0.3in.Want to get started on data science Our promise: no math added. This book has been written in laymans terms as a gentle introduction to data science and its algorithms. Each algorithm has its own dedicated chapter that explains how it works, and shows an example of a real-world application. To help you grasp key concepts, we stick to intuitive explanations, as well as lots of visuals, all of which are colorblind-friendly. Popular concepts covered include: AB Testing Anomaly Detection Association Rules Clustering Decision Trees and Random Forests Regression Analysis Social Network Analysis Neural Networks Features: Intuitive explanations and visuals Real-world applications to illustrate each algorithm Point summaries at the end of each chapter Reference sheets comparing the pros and cons of algorithms Glossary list of commonly-used terms With this book, we hope to give you a practical understanding of data science, so that you, too, can leverage its strengths in making better decisions. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN.
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Numsense! Data Science for the Layman: No Math Added (Paperback) (2017)
EN PB NW RPISBN: 9789811110689 bzw. 9811110689, in Englisch, Annalyn Ng Kenneth Soo, United States, Taschenbuch, neu, Nachdruck.
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, Versandkostenfrei.
Von Händler/Antiquariat, The Book Depository [54837791], London, United Kingdom.
Language: English . Brand New Book ***** Print on Demand *****.Used in Stanford s CS102 Big Data (Spring 2017) course. Want to get started on data science? Our promise: no math added. This book has been written in layman s terms as a gentle introduction to data science and its algorithms. Each algorithm has its own dedicated chapter that explains how it works, and shows an example of a real-world application. To help you grasp key concepts, we stick to intuitive explanations, as well as lots of visuals, all of which are colorblind-friendly. Popular concepts covered include: A/B Testing Anomaly Detection Association Rules Clustering Decision Trees and Random Forests Regression Analysis Social Network Analysis Neural Networks Features: Intuitive explanations and visuals Real-world applications to illustrate each algorithm Point summaries at the end of each chapter Reference sheets comparing the pros and cons of algorithms Glossary list of commonly-used terms With this book, we hope to give you a practical understanding of data science, so that you, too, can leverage its strengths in making better decisions.
Von Händler/Antiquariat, The Book Depository [54837791], London, United Kingdom.
Language: English . Brand New Book ***** Print on Demand *****.Used in Stanford s CS102 Big Data (Spring 2017) course. Want to get started on data science? Our promise: no math added. This book has been written in layman s terms as a gentle introduction to data science and its algorithms. Each algorithm has its own dedicated chapter that explains how it works, and shows an example of a real-world application. To help you grasp key concepts, we stick to intuitive explanations, as well as lots of visuals, all of which are colorblind-friendly. Popular concepts covered include: A/B Testing Anomaly Detection Association Rules Clustering Decision Trees and Random Forests Regression Analysis Social Network Analysis Neural Networks Features: Intuitive explanations and visuals Real-world applications to illustrate each algorithm Point summaries at the end of each chapter Reference sheets comparing the pros and cons of algorithms Glossary list of commonly-used terms With this book, we hope to give you a practical understanding of data science, so that you, too, can leverage its strengths in making better decisions.
3
Numsense! Data Science for the Layman: No Math Added (2017)
EN PB NW FEISBN: 9789811110689 bzw. 9811110689, in Englisch, 146 Seiten, Annalyn Ng & Kenneth Soo, Taschenbuch, neu, Erstausgabe.
Neu ab: $26.64 (12 Angebote)
Gebraucht ab: $26.89 (2 Angebote)
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Lieferung aus: Vereinigte Staaten von Amerika, Usually ships in 1-2 business days.
Von Händler/Antiquariat, SuperBookDeals-.
Used in Stanford's CS102 Big Data (Spring 2017) course. Want to get started on data science? Our promise: no math added. This book has been written in layman's terms as a gentle introduction to data science and its algorithms. Each algorithm has its own dedicated chapter that explains how it works, and shows an example of a real-world application. To help you grasp key concepts, we stick to intuitive explanations, as well as lots of visuals, all of which are colorblind-friendly. Popular concepts covered include: A/B Testing Anomaly Detection Association Rules Clustering Decision Trees and Random Forests Regression Analysis Social Network Analysis Neural Networks Features: Intuitive explanations and visuals Real-world applications to illustrate each algorithm Point summaries at the end of each chapter Reference sheets comparing the pros and cons of algorithms Glossary list of commonly-used terms With this book, we hope to give you a practical understanding of data science, so that you, too, can leverage its strengths in making better decisions., Paperback, Ausgabe: 1, Format: Large Print, Label: Annalyn Ng & Kenneth Soo, Annalyn Ng & Kenneth Soo, Produktgruppe: Book, Publiziert: 2017-03-24, Studio: Annalyn Ng & Kenneth Soo, Verkaufsrang: 50480.
Von Händler/Antiquariat, SuperBookDeals-.
Used in Stanford's CS102 Big Data (Spring 2017) course. Want to get started on data science? Our promise: no math added. This book has been written in layman's terms as a gentle introduction to data science and its algorithms. Each algorithm has its own dedicated chapter that explains how it works, and shows an example of a real-world application. To help you grasp key concepts, we stick to intuitive explanations, as well as lots of visuals, all of which are colorblind-friendly. Popular concepts covered include: A/B Testing Anomaly Detection Association Rules Clustering Decision Trees and Random Forests Regression Analysis Social Network Analysis Neural Networks Features: Intuitive explanations and visuals Real-world applications to illustrate each algorithm Point summaries at the end of each chapter Reference sheets comparing the pros and cons of algorithms Glossary list of commonly-used terms With this book, we hope to give you a practical understanding of data science, so that you, too, can leverage its strengths in making better decisions., Paperback, Ausgabe: 1, Format: Large Print, Label: Annalyn Ng & Kenneth Soo, Annalyn Ng & Kenneth Soo, Produktgruppe: Book, Publiziert: 2017-03-24, Studio: Annalyn Ng & Kenneth Soo, Verkaufsrang: 50480.
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Numsense! Data Science for the Layman: No Math Added (2017)
EN PB NWISBN: 9789811110689 bzw. 9811110689, in Englisch, Annalyn Ng & Kenneth Soo, Taschenbuch, neu.
Lieferung aus: Vereinigte Staaten von Amerika, zzgl. Versandkosten, Verandgebiet: DOM.
Von Händler/Antiquariat, BargainBookStores, MI, Grand Rapids, [RE:5].
BRAND NEW ITEM! 100% Satisfaction Guarantee. Tracking provided on most orders. Buy with Confidence! Millions of items sold! . Paperback.
Von Händler/Antiquariat, BargainBookStores, MI, Grand Rapids, [RE:5].
BRAND NEW ITEM! 100% Satisfaction Guarantee. Tracking provided on most orders. Buy with Confidence! Millions of items sold! . Paperback.
5
Symbolbild
Numsense! Data Science for the Layman: No Math Added
EN PB NWISBN: 9789811110689 bzw. 9811110689, in Englisch, Annalyn Ng & Kenneth Soo, Taschenbuch, neu.
Lieferung aus: Kanada, Versandkosten nach: DEU.
Von Händler/Antiquariat, Russell Books Ltd.
Annalyn Ng & Kenneth Soo. PAPERBACK. 9811110689 Special order direct from the distributor . New.
Von Händler/Antiquariat, Russell Books Ltd.
Annalyn Ng & Kenneth Soo. PAPERBACK. 9811110689 Special order direct from the distributor . New.
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