LIRC@SFIT

B27206  ANALYTICS IN A BIG DATA WORLD: THE ESSENTIAL GUIDE TO DATA SCIENCE AND ITS APPLICATIONS     By BAESENS, BART NEW DELHI/WILEY INDIA/2014 005.74 BAE   B26162  CORE PYTHON PROGRAMMING -2nd. ed.    By RAO, R. NAGESWARA NEW DELHI/DREAMTECH/2018 005.133 RAO     B24667  BIG DATA AND ANALYTICS     By ACHARYA, SEEMA/CHELLAPPAN, SUBHASHINI NEW DELHI/WILEY INDIA/2015 005.74 ACH/CHE     B23315  TOO BIG TO IGNORE: THE BUSINESS CASE FOR BIG DATA     By PHIL, SIMON NEW DELHI/WILEY INDIA/2013 005.74 PHI     B22963  HADOOP IN PRACTICE     By HOLMES, ALEX NEW DELHI/DREAMTECH/2013 004.36 HOL   MEB1175  HANDS ON DATA SCIENCE AND PYTHON MACHINE LEARNING: PERFORM DATA MINING AND MACHINE LEARNING EFFICIENTLY USING PYTHON AND SPARK     By KANE, FRANK MUMBAI/PACKT/2017 005.74 KAN     M EB1169  APPLIED PREDICTIVE AN...

Till about a decade ago, if you specialised in mathematics, you would end up being a teacher or a researcher. That has changed dramatically. Specialists in the field in India are now among the most sought after in the financial and technology world. Many of today’s leading digital technologies – artificial intelligence, machine learning, data science, big data, cyber security – need strong foundational knowledge of mathematics. “Data science is based on three skill sets – a background in math or statistics, exposure in computer science, and business or domain knowledge,” says Ashok Kalidas, head of data science & innovation at research firm Kantar’s analytics practice. “Where a math graduate adds value is in the ability to understand the mathematics behind the models and innovate on top of that.” Kalidas says AI and deep learning solutions can be implemented using software, but you need mathematics to understand the inner workings of these solutions. “A mathematics graduate will be...