1. Gurjit Singh Bhathal and Amardeep Singh . 2019. Big data computing with distributed computing frameworks . In Innovations in Electronics and Communication Engineering . Springer , 467–477. Gurjit Singh Bhathal and Amardeep Singh. 2019. Big data computing with distributed computing frameworks. In Innovations in Electronics and Communication Engineering. Springer, 467–477.
2. Leo Breiman . 2001. Random forests. Machine learning 45, 1 ( 2001 ), 5–32. Leo Breiman. 2001. Random forests. Machine learning 45, 1 (2001), 5–32.
3. Teaching Data Science
4. Ling Cen , Dymitr Ruta , and Jason Ng . 2015 . Big education: Opportunities for big data analytics . In 2015 IEEE international conference on digital signal processing (DSP). IEEE, 502–506 . Ling Cen, Dymitr Ruta, and Jason Ng. 2015. Big education: Opportunities for big data analytics. In 2015 IEEE international conference on digital signal processing (DSP). IEEE, 502–506.
5. Soumen Chakrabarti , Martin Ester , Usama Fayyad , Johannes Gehrke , Jiawei Han , Shinichi Morishita , Gregory Piatetsky-Shapiro , and Wei Wang . 2006. Data mining curriculum: A proposal (Version 1.0). Intensive working group of ACM SIGKDD curriculum committee 140 ( 2006 ), 1–10. Soumen Chakrabarti, Martin Ester, Usama Fayyad, Johannes Gehrke, Jiawei Han, Shinichi Morishita, Gregory Piatetsky-Shapiro, and Wei Wang. 2006. Data mining curriculum: A proposal (Version 1.0). Intensive working group of ACM SIGKDD curriculum committee 140 (2006), 1–10.