The Data Science Handbook

The Data Science Handbook by Field Cady. Download it The Data Science Handbook books also available in PDF, EPUB, and Mobi Format for read it on your Kindle device, PC, phones or tablets. This book provides a crash course in data science, combining all the necessary skills into a unified discipline.. Click Get Books for free books.

The Data Science Handbook

The Data Science Handbook
Author: Field Cady
Publisher: John Wiley & Sons
ISBN: 1119092949
Size: 24.85 MB
Format: PDF, Docs
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A comprehensive overview of data science covering the analytics, programming, and business skills necessary to master the discipline Finding a good data scientist has been likened to hunting for a unicorn: the required combination of technical skills is simply very hard to find in one person. In addition, good data science is not just rote application of trainable skill sets; it requires the ability to think flexibly about all these areas and understand the connections between them. This book provides a crash course in data science, combining all the necessary skills into a unified discipline. Unlike many analytics books, computer science and software engineering are given extensive coverage since they play such a central role in the daily work of a data scientist. The author also describes classic machine learning algorithms, from their mathematical foundations to real-world applications. Visualization tools are reviewed, and their central importance in data science is highlighted. Classical statistics is addressed to help readers think critically about the interpretation of data and its common pitfalls. The clear communication of technical results, which is perhaps the most undertrained of data science skills, is given its own chapter, and all topics are explained in the context of solving real-world data problems. The book also features: • Extensive sample code and tutorials using Python™ along with its technical libraries • Core technologies of “Big Data,” including their strengths and limitations and how they can be used to solve real-world problems • Coverage of the practical realities of the tools, keeping theory to a minimum; however, when theory is presented, it is done in an intuitive way to encourage critical thinking and creativity • A wide variety of case studies from industry • Practical advice on the realities of being a data scientist today, including the overall workflow, where time is spent, the types of datasets worked on, and the skill sets needed The Data Science Handbook is an ideal resource for data analysis methodology and big data software tools. The book is appropriate for people who want to practice data science, but lack the required skill sets. This includes software professionals who need to better understand analytics and statisticians who need to understand software. Modern data science is a unified discipline, and it is presented as such. This book is also an appropriate reference for researchers and entry-level graduate students who need to learn real-world analytics and expand their skill set. FIELD CADY is the data scientist at the Allen Institute for Artificial Intelligence, where he develops tools that use machine learning to mine scientific literature. He has also worked at Google and several Big Data startups. He has a BS in physics and math from Stanford University, and an MS in computer science from Carnegie Mellon.
The Data Science Handbook
Language: en
Pages: 416
Authors: Field Cady
Categories: Mathematics
Type: BOOK - Published: 2017-02-28 - Publisher: John Wiley & Sons
A comprehensive overview of data science covering the analytics, programming, and business skills necessary to master the discipline Finding a good data scientist has been likened to hunting for a unicorn: the required combination of technical skills is simply very hard to find in one person. In addition, good data
Python Data Science Handbook
Language: en
Pages: 548
Authors: Jake VanderPlas
Categories: Computers
Type: BOOK - Published: 2016-11-21 - Publisher: "O'Reilly Media, Inc."
For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and
Data Science für Dummies
Language: de
Pages: 382
Authors: Lillian Pierson
Categories: Mathematics
Type: BOOK - Published: 2016-04-22 - Publisher: John Wiley & Sons
Daten, Daten, Daten? Sie haben schon Kenntnisse in Excel und Statistik, wissen aber noch nicht, wie all die Datensätze helfen sollen, bessere Entscheidungen zu treffen? Von Lillian Pierson bekommen Sie das dafür notwendige Handwerkszeug: Bauen Sie Ihre Kenntnisse in Statistik, Programmierung und Visualisierung aus. Nutzen Sie Python, R, SQL, Excel
The Data Science Handbook
Language: en
Pages:
Authors: Carl Shan, Henry Wang, William Chen, Max Song
Categories: Mathematics
Type: BOOK - Published: 2015-05-03 - Publisher:
The Data Science Handbook is a curated collection of 25 candid, honest and insightful interviews conducted with some of the world's top data scientists.In this book, you'll hear how the co-creator of the term 'data scientist' thinks about career and personal success. You'll hear from a young woman who created
Einführung in Machine Learning mit Python
Language: de
Pages: 378
Authors: Andreas C. Müller, Sarah Guido
Categories: Computers
Type: BOOK - Published: 2017-07-21 - Publisher: O'Reilly
Machine Learning ist zu einem wichtigen Bestandteil vieler kommerzieller Anwendungen und Forschungsprojekte geworden, von der medizinischen Diagnostik bis hin zur Suche nach Freunden in sozialen Netzwerken. Um Machine-Learning-Anwendungen zu entwickeln, braucht es keine großen Expertenteams: Wenn Sie Python-Grundkenntnisse mitbringen, zeigt Ihnen dieses Praxisbuch, wie Sie Ihre eigenen Machine-Learning-Lösungen erstellen. Mit
Statistik von Kopf bis Fuß
Language: de
Pages: 720
Authors: Dawn Griffiths
Categories: Computers
Type: BOOK - Published: 2009-03-15 - Publisher: O'Reilly Germany
Wäre es nicht einfach wunderbar, wenn es ein Statistikbuch gäbe, das Histogramme, Wahrscheinlichkeitsverteilungen und Chi-Quadrat-Tests erfreulicher werden lässt als einen Zahnarztbesuch? Statistik von Kopf bis Fuß haucht diesem sonst so trockenen Fach Leben ein und vermittelt Ihnen alle Grundlagen in interaktiven, lebensnahen Szenarien, von Sportanalysen über Glücksspiele bis zum Medikamententest.
Statistik-Workshop für Programmierer
Language: de
Pages: 160
Authors: Allen B. Downey
Categories: Computers
Type: BOOK - Published: 2012-05-31 - Publisher: O'Reilly Germany
Wenn Sie programmieren können, beherrschen Sie bereits Techniken, um aus Daten Wissen zu extrahieren. Diese kompakte Einführung in die Statistik zeigt Ihnen, wie Sie rechnergestützt, anstatt auf mathematischem Weg Datenanalysen mit Python durchführen können. Praktischer Programmier-Workshop statt grauer Theorie: Das Buch führt Sie anhand eines durchgängigen Fallbeispiels durch eine vollständige
Big Data
Language: de
Pages: 288
Authors: Viktor Mayer-Schönberger, Kenneth Cukier
Categories: Political Science
Type: BOOK - Published: 2013-10-08 - Publisher: Redline Wirtschaft
Ob Kaufverhalten, Grippewellen oder welche Farbe am ehesten verrät, ob ein Gebrauchtwagen in einem guten Zustand ist – noch nie gab es eine solche Menge an Daten und noch nie bot sich die Chance, durch Recherche und Kombination in der Daten¬flut blitzschnell Zusammenhänge zu entschlüsseln. Big Data bedeutet nichts weniger
Datenintensive Anwendungen designen
Language: de
Pages: 652
Authors: Martin Kleppmann
Categories: Computers
Type: BOOK - Published: 2018-11-26 - Publisher: O'Reilly
Daten stehen heute im Mittelpunkt vieler Herausforderungen im Systemdesign. Dabei sind komplexe Fragen wie Skalierbarkeit, Konsistenz, Zuverlässigkeit, Effizienz und Wartbarkeit zu klären. Darüber hinaus verfügen wir über eine überwältigende Vielfalt an Tools, einschließlich relationaler Datenbanken, NoSQL-Datenspeicher, Stream-und Batchprocessing und Message Broker. Aber was verbirgt sich hinter diesen Schlagworten? Und was
Python Data Science Handbook
Language: en
Pages: 529
Authors: Jacob T. Vanderplas
Categories: Data mining
Type: BOOK - Published: 2016 - Publisher:
"For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all--IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and