AI Techniques for Data Analytics and Data Science: Software Tools, Research Challenges, Applications: A Review

Authors

  • Pooja Sharma Faculty of Science and Technology, ICFAI University, Baddi, Himachal Pradesh,
  • Pankaj Thakur Faculty of Science and Technology, ICFAI University, Baddi, Himachal Pradesh,

DOI:

https://doi.org/10.37628/jcam.v5i1.906

Keywords:

Artificial intelligence, machine learning, deep learning, data science, data analytics

Abstract

Artificial intelligence is the branch of Computer Science in which multidisciplinary expertise is required and ultimately the main aim is to automate the activities of all human which require human intelligence. The main issue is to design or create machine that completely works like a human brain. Artificial Intelligence architecture focuses on evaluation and redesigns design process. Now days Data Science is most popular all around the world and is used to find the solution for complex problems. Data is categorized in to small units and then its behavior, trend are analyzed. But the major challenge for Data Science is to manage vast amount of information and data. Hence, there is significant increase in research opportunities some challenges such as lack of computing power, people power is still a big challenge.

References

Pooja Sharma, Pankaj Thakur. AI Techniques for Data Analytics and Data Science: Software Tools, Research Challenges, Applications: A Review. International Journal of Computer Aided Manufacturing. 2019; 5(1): 9–17p.

Published

2019-07-18

Issue

Section

Articles