Key Evolution In the Fields of Data Analysis and Artificial Intelligence

Authors(1) :-Yeshwanth Rao Bhandayker

There is a great deal of complication these days concerning Artificial Intelligence (AI), Artificial Intelligence (ML) and DeepLearning (DL). A computer system able to carry out jobs that typically need human intelligence, such as visual understanding, speech recognition, decision-making, and also translation in between languages. Expert system has actually made it feasible. Deep learning is a subset of artificial intelligence, as well as machine learning is a part of AI, which is an umbrella term for any type of computer program that does something clever. Simply put, all artificial intelligence is AI, yet not all AI is artificial intelligence, and so forth. Machine Learning represents a crucial evolution in the areas of computer science, data analysis, software design, and artificial intelligence. Machine learning (ML) is a vivid area of research study, with a range of amazing areas for additional growth throughout different techniques as well as applications. These locations consist of mathematical interpretability, robustness, personal privacy, justness, inference of origin, human-machine interaction, as well as protection. The goal of ML is never ever to make "ideal" guesses, due to the fact that ML handle domains where there is no such thing. The goal is to make guesses that are good enough to be valuable. Deep learning is a specific type of machine learning that accomplishes great power and also adaptability by learning to stand for the globe as nested pecking order of principles, with each principle specified in connection with simpler principles, and also extra abstract representations calculated in terms of less abstract ones.This paper provides an introduction of artificial intelligence, machine learning & deep learning methods and also contrast these techniques.

Authors and Affiliations

Yeshwanth Rao Bhandayker
Senior Java/J2EE Programmer Analyst, Finance: Trading Application Vanguard, Malvern, PA

Artificial Intelligence, Deep Learning, Machine Learning

  1. Bridge, James P., Sean B. Holden, and Lawrence C. Paulson. "Machine learning for first-order theorem proving." Journal of automated reasoning 53.2 (2014): 141-172.
  2. Loos, Sarah, et al. "Deep Network Guided Proof Search." arXiv preprint arXiv:1701.06972 (2017).
  3. Finnsson, Hilmar, and YngviBjörnsson. "Simulation-Based Approach to General Game Playing." AAAI. Vol. 8.2008.
  4. Sarikaya, Ruhi, Geoffrey E. Hinton, and AnoopDeoras. "Application of deep belief networks for natural language understanding." IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP) 22.4(2014): 778-784.
  5. "AI-based translation to soon reach human levels: industry officials". Yonhap news agency. Retrieved 4 Mar 2017.Mohri, Mehryar; Rostamizadeh, Afshin; Talwalkar, Ameet (2012). Foundations of Machine Learning. USA, Massachusetts: MIT Press. ISBN 9780262018258.
  6. Zhong, Sheng-hua; Liu, Yan; Liu, Yang (2011). "Bilinear Deep Learning for Image Classification". Proceedings of the 19th ACM International Conference on Multimedia. MM '11. New York, NY, USA: ACM: 343–352.
  7. Szegedy, Christian; Toshev, Alexander; Erhan, Dumitru (2013). "Deep neural networks for object detection". Advances in Neural Information Processing Systems.
  8. Deng, L.; Yu, D. (2014). "Deep Learning: Methods and Applications" (PDF). Foundations and Trends in Signal
  9. Anusha Medavaka, P. Shireesha, “A Survey on TraffiCop Android Application” in “Journal of Advances in Science and Technology”, Vol. 14, Issue No. 2, September-2017 ISSN : 2230-9659]
  10. Anusha Medavaka, Dr. P. Niranjan, P. Shireesha, “USER SPECIFIC SEARCH HISTORIES AND ORGANIZING PROBLEMS” in “International Journal of Advanced Computer Technology (IJACT)”, Vol. 3, Issue No. 6 , 2014ISSN : 2319-7900]
  11. Yeshwanth Rao Bhandayker , “Artificial Intelligence and Big Data for Computer Cyber Security systems” in “Journal of Advances in Science and Technology”, Vol. 12, Issue No. 24, November-2016 ISSN : 2230-9659]
  12. Sugandhi Maheshwaram, “A Comprehensive Review on the Implementation of Big Data Solutions” in “International Journal of Information Technology and Management”, Vol. XI, Issue No. XVII, November-2016 ISSN : 2249-4510]
  13. Sugandhi Maheshwaram , “An Overview of Open Research Issues in Big Data Analytics” in “Journal of Advances in Science and Technology”, Vol. 14, Issue No. 2, September-2017 ISSN : 2230-9659]
  14. Yeshwanth Rao Bhandayker, “Security Mechanisms for Providing Security to the Network” in “International Journal of Information Technology and Management”, Vol. 12, Issue No. 1, February-2017, ISSN : 2249-4510]
  15. Sriramoju Ajay Babu, Dr. S. Shoban Babu, “Improving Quality of Content Based Image Retrieval with Graph Based Ranking” in “International Journal of Research and Applications”, Volume 1, Issue 1, Jan-Mar 2014 ISSN : 2349-0020 ]
  16. Dr. Shoban Babu Sriramoju, Ramesh Gadde, “A Ranking Model Framework for Multiple Vertical Search Domains” in “International Journal of Research and Applications” Vol 1, Issue 1,Jan-Mar 2014 ISSN : 2349-0020 ].
  17. Mounika Reddy, Avula Deepak, Ekkati Kalyani Dharavath, Kranthi Gande, Shoban Sriramoju, “Risk-Aware Response Answer for Mitigating Painter Routing Attacks” in “International Journal of Information Technology and Management”, Volume VI, Issue I, Feb 2014 ISSN : 2249-4510 ]
  18. Anusha Medavaka, P. Shireesha, “Analysis and Usage of Spam Detection Method in Mail Filtering System” in “International Journal of Information Technology and Management”, Vol. 12, Issue No. 1, February-2017 ISSN : 2249-4510]
  19. Anusha Medavaka, P. Shireesha, “Review on Secure Routing Protocols in MANETs” in “International Journal of Information Technology and Management”, Vol. VIII, Issue No. XII, May-2015 ISSN : 2249-4510]
  20. Anusha Medavaka, P. Shireesha, “Classification Techniques for Improving Efficiency and Effectiveness of Hierarchical Clustering for the Given Data Set” in “International Journal of Information Technology and Management”, Vol. X, Issue No. XV, May-2016 ISSN : 2249-4510]
  21. Anusha Medavaka , P. Shireesha, “Optimal framework to Wireless Rechargeable Sensor Network based Joint Spatial of the Mobile Node” in “Journal of Advances in Science and Technology”, Vol. XI, Issue No. XXII, May-2016 ISSN : 2230-9659]
  22. Anusha Medavaka,“Enhanced Classification Framework on Social Networks” in “Journal of Advances in Science and Technology”, Vol. IX, Issue No. XIX, May-2015 ISSN : 2230-9659]

Publication Details

Published in : Volume 3 | Issue 8 | November-December 2017
Date of Publication : 2017-12-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 1939-1949
Manuscript Number : IJSRST196328
Publisher : Technoscience Academy

Print ISSN : 2395-6011, Online ISSN : 2395-602X

Cite This Article :

Yeshwanth Rao Bhandayker, " Key Evolution In the Fields of Data Analysis and Artificial Intelligence", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 3, Issue 8, pp.1939-1949, November-December-2017.
Journal URL : http://ijsrst.com/IJSRST196328

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