Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	September 2024
Genre:	EDV / Informatik
	An Introduction to Data Science with Python / Big Data / BUSINESS & ECONOMICS / Decision-Making & Problem Solving / BUSINESS & ECONOMICS / Operations Research / business analytics / Business research / data analysis / Data analysis# general / Data science and analysis# general / Decision theory# general / For graduate / post-graduate and equivalents / For undergraduate education and equivalents / Jeffrey M. Stanton / Jeffrey S. Saltz / Jupyter Notebook / Management decision making / MATHEMATICS / Game Theory / Operational research / REFERENCE / Research / Research methods# general / Social research & statistics / Social research and statistics / SOCIAL SCIENCE / Research / SOCIAL SCIENCE / Statistics / Statistical Software / Statistics mehr...
ISBN:	9781071850657
EAN-Code:	9781071850657
Verlag:	Sage Publications
Einband:	Kartoniert
Sprache:	English
Dimensionen:	H 231 mm / B 187 mm / D
Gewicht:	540 gr
Seiten:	312
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

An Introduction to Data Science with Python by Jeffrey S. Saltz and Jeffery M. Stanton provides readers who are new to Python and data science with a step-by-step walkthrough of the tools and techniques used to analyze data and generate predictive models. After introducing the basic concepts of data science, the book builds on these foundations to explain data science techniques using Python-based Jupyter Notebooks. The techniques include making tables and data frames, computing statistics, managing data, creating data visualizations, and building machine learning models. Each chapter breaks down the process into simple steps and components so students with no more than a high school algebra background will still find the concepts and code intelligible. Explanations are reinforced with linked practice questions throughout to check reader understanding. The book also covers advanced topics such as neural networks and deep learning, the basis of many recent and startling advances in machine learning and artificial intelligence. With their trademark humor and clear explanations, Saltz and Stanton provide a gentle introduction to this powerful data science tool. Included with this title: LMS Cartridge: Import this title's instructor resources into your school's learning management system (LMS) and save time. Don¿t use an LMS? You can still access all of the same online resources for this title via the password-protected Instructor Resource Site.