Machine learning for time series data analysis

Time Series Analysis is one of the classic topics in data analysis and machine learning. It has significant business value and by the end of this course, you'll understand why. The course teaches you the basics of time series analysis (e.g., relevant types of data analysis problems, classical a...

Full description

Bibliographic Details
Format: eBook
Language:English
Published: [Place of publication not identified] O'Reilly Media, Inc. 2018
Edition:[First edition]
Subjects:
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
LEADER 02542nmm a2200301 u 4500
001 EB002134249
003 EBX01000000000000001272306
005 00000000000000.0
007 cr|||||||||||||||||||||
008 221111 ||| eng
020 |a 9781492025504 
050 4 |a Q325.5 
100 1 |a Braun, Mikio  |e presenter 
245 0 0 |a Machine learning for time series data analysis 
250 |a [First edition] 
260 |a [Place of publication not identified]  |b O'Reilly Media, Inc.  |c 2018 
300 |a 1 video file (2 hr., 52 min.)  |b sound, color 
653 |a Time-series analysis / Data processing / fast 
653 |a Machine learning / http://id.loc.gov/authorities/subjects/sh85079324 
653 |a Time-series analysis / Data processing 
653 |a Machine learning / fast 
653 |a Apprentissage automatique 
653 |a Série chronologique / Informatique 
041 0 7 |a eng  |2 ISO 639-2 
989 |b OREILLY  |a O'Reilly 
856 4 0 |u https://learning.oreilly.com/videos/~/9781492025504/?ar  |x Verlag  |3 Volltext 
082 0 |a 006.3/1 
520 |a Time Series Analysis is one of the classic topics in data analysis and machine learning. It has significant business value and by the end of this course, you'll understand why. The course teaches you the basics of time series analysis (e.g., relevant types of data analysis problems, classical approaches using autoregressive models, etc.); surveys recent advances (i.e., structured inference and deep learning-based approaches); reviews the best practices for handling time series data; and helps you understand the best use cases for time series analysis. The video focuses on state-of-the-art Python libraries and toolsets-- the de facto standards for practical data science-- that allow you to quickly move models from prototype to production. Learners should have basic familiarity with Python, data analysis, and data science. Discover the best practices in prediction and anomaly detection using Python Explore and understand the basics of time series analysis Survey recent advances in time series analysis and machine learning Learn how to use the most relevant Python data analysis libraries and toolsets Review key concepts related to time series storage and databases Understand the business value of analyzing time series data Mikio Braun is the engineering lead for search at Zalando, one of Europe's biggest fashion platforms. An in-demand speaker at O'Reilly Media's Strata Data conferences, Mikio holds a PhD in machine learning from the University of Bonn