Murphy
Tytuły autora: Murphy dostępne w księgarni Ebookpoint
-
Promocja
Whether you're part of a small startup or a multinational corporation, this practical book shows data scientists, software and site reliability engineers, product managers, and business owners how to run and establish ML reliably, effectively, and accountably within your organization. You'll gain insight into everything from how to do model monitor- ePub + Mobi 220 pkt
(220,15 zł najniższa cena z 30 dni)
220.15 zł
259.00 zł (-15%) -
Promocja
This book is your guide to understanding the basics of how Azure Stream Analytics works, and build your own analytics solution using its capabilities. By the end of this book, you will be well-versed in using Azure Stream Analytics to develop an efficient analytics solution which can work with any type of data.- PDF + ePub + Mobi 125 pkt
Stream Analytics with Microsoft Azure. Real-time data processing for quick insights using Azure Stream Analytics
Krishnaswamy Venkataraman, Anindita Basak, Ryan Murphy, Manpreet Singh
(29,90 zł najniższa cena z 30 dni)
125.10 zł
139.00 zł (-10%) -
Promocja
As an increasing amount of data is generated each year, and the need to analyze and operationalize it is more important than ever. Companies that know what to do with their data have a competitive advantage over companies that don't. This drives a higher demand for knowledgeable and competent data professionals. By sequentially working through the- PDF + ePub + Mobi 125 pkt
Practical Data Science Cookbook. Data pre-processing, analysis and visualization using R and Python - Second Edition
Prabhanjan Narayanachar Tattar, Bhushan Purushottam Joshi, Sean Patrick Murphy, ABHIJIT DASGUPTA, Anthony Ojeda
(29,90 zł najniższa cena z 30 dni)
125.10 zł
139.00 zł (-10%) -
Despite the excitement around "data science," "big data," and "analytics," the ambiguity of these terms has led to poor communication between data scientists and organizations seeking their help. In this report, authors Harlan Harris, Sean Murphy, and Marck Vaisman examine their survey of several hundred data science practitioners in mid-2012, when
- ePub + Mobi 0 pkt