Big data primarily refers to data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many entries (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher fals...
Big Data Analytics Tutorial - Big Data; as its name implies, the data which is bigger is known as big data. The data size is increasing day by day. An individual deals with data using mobile phones...
저자가 Rob Botwright인 Big Data: Statistics, Data Mining, Analytics, And Pattern Learning의 오디오북입니다. AI 내레이션: Archie(Google 제공). 좋아하는 모든 책에 즉시 액세스하세요. 월간 약정은...
Data Science and Data Analytics of Big Data with Machine Learning Algorithms
learn to manage big data with freely available software.
Data Science, Machine Learning, AI & Analytics
Why is big data analytics important? How does it work? Discover the many benefits of a data-driven approach to decision-making with this introductory guide.
Individuals can start with self-study, but most will eventually need to take courses to learn the finer points of big data analytics.
National Institute of Technology, Kurukshetra ; Emlyon Business School, France ; CSUSB, USA
Monday, August 20, 2018, InterContinental ; 9:00 am - 9:30 am Opening · Location: InterContinental, Ballroom I ; 9:30 am - 10:30 am Keynote I: High-Quality Data for Machine Learning in Networked Systems · Speaker: Georg Carle (TU Munich, Germany) · Location: InterContinental, Ballroom I ; 11:00 am - 12:15 pm Session I: Machine Learning based Network Security and Anomaly Detection · Location: InterContinental, Ballroom I ; 2:00 pm - 2:50 pm Session II: Data Analytics and Applications · Location: InterContinental, Ballroom I