Python For Mbas

Author: Mattan Griffel
Editor: Columbia University Press
ISBN: 023155057X
File Size: 73,37 MB
Format: PDF, Mobi
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From the ads that track us to the maps that guide us, the twenty-first century runs on code. The business world is no different. Programming has become one of the fastest-growing topics at business schools around the world. An increasing number of MBAs are choosing to pursue careers in tech. For them and other professionals, having some basic coding knowledge is a must. This book is an introduction to programming with Python for MBA students and others in business positions who need a crash course. One of the most popular programming languages, Python is used for tasks such as building and running websites, data analysis, machine learning, and natural-language processing. Drawing on years of experience providing instruction in this material at Columbia Business School as well as extensive backgrounds in technology, entrepreneurship, and consulting, Mattan Griffel and Daniel Guetta teach the basics of programming from scratch. Beginning with fundamentals such as variables, strings, lists, and functions, they build up to data analytics and practical ways to derive value from large and complex datasets. They focus on business use cases throughout, using the real-world example of a major restaurant chain to offer a concrete look at what Python can do. Written for business students with no previous coding experience and those in business roles that include coding or working with coding teams, Python for MBAs is an indispensable introduction to a versatile and powerful programming language.
Python for MBAs
Language: en
Pages:
Authors: Mattan Griffel, Daniel Guetta
Categories: Computers
Type: BOOK - Published: 2021-05-04 - Publisher: Columbia University Press

From the ads that track us to the maps that guide us, the twenty-first century runs on code. The business world is no different. Programming has become one of the fastest-growing topics at business schools around the world. An increasing number of MBAs are choosing to pursue careers in tech.
Neuronale Netze Selbst Programmieren
Language: de
Pages: 232
Authors: Tariq Rashid
Categories: Computers
Type: BOOK - Published: 2017 - Publisher:

Neuronale Netze sind Schlüsselelemente des Deep Learning und der Künstlichen Intelligenz, die heute zu Erstaunlichem in der Lage sind. Dennoch verstehen nur wenige, wie Neuronale Netze tatsächlich funktionieren. Dieses Buch nimmt Sie mit auf eine unterhaltsame Reise, die mit ganz einfachen Ideen beginnt und Ihnen Schritt für Schritt zeigt, wie
Information and Communications Security
Language: en
Pages: 483
Authors: Debin Gao, Qi Li, Xiaohong Guan, Xiaofeng Liao
Categories: Computers
Type: BOOK - Published: 2021-09-17 - Publisher: Springer Nature

This two-volume set LNCS 12918 - 12919 constitutes the refereed proceedings of the 23nd International Conference on Information and Communications Security, ICICS 2021, held in Chongqing, China, in September 2021. The 49 revised full papers presented in the book were carefully selected from 182 submissions. The papers in Part I
Together with Python
Language: en
Pages: 394
Authors: Ravish Kumar Mishra
Categories: Computers
Type: BOOK - Published: - Publisher: Sankalp Publication

PREFACE This is the First Edition of a Simplified Course in computer science for Class XI and XII in your hands. Since the CBSE syllabus for computer science has many changes, this edition is the outcome for the same. This book is aimed at providing a thorough base and understanding
Machine Learning for Decision Sciences with Case Studies in Python
Language: en
Pages: 476
Authors: S. Sumathi, Suresh Rajappa, L Ashok Kumar, Surekha Paneerselvam
Categories: Mathematics
Type: BOOK - Published: 2022-07-06 - Publisher: CRC Press

This book provides a detailed description of machine learning algorithms in data analytics, data science life cycle, Python for machine learning, linear regression, logistic regression, and so forth. It addresses the concepts of machine learning in a practical sense providing complete code and implementation for real-world examples in electrical, oil