Machine Learning Techniques: The Need of the Hour 
Parag Nijhawan1, Vinod Kumar Bhalla2, Jyoti Gupta3, Manish Kumar Singla4
1Parag Nijhawan, Associate Professor, Department of Electrical and Instrumentation Engineering, Thapar Institute of Engineering and Technology, India.
2Vinod Kumar Bhalla, Assistant Professor, Department of Computer Science and Engineering, Thapar Institute of Engineering and Technology, India.
3Jyoti Gupta, PhD Scholar, Department of Electrical and Instrumentation Engineering, Thapar Institute of Engineering and Technology, India.
4Manish Kumar Singla, PhD Scholar, Department of Electrical and Instrumentation Engineering, Thapar Institute of Engineering and Technology, India.
Manuscript received on February 28, 2020. | Revised Manuscript received on March 22, 2020. | Manuscript published on March 30, 2020. | PP: 5604-5611 | Volume-8 Issue-6, March 2020. | Retrieval Number: F9881038620/2020©BEIESP | DOI: 10.35940/ijrte.F9881.038620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Scientists, researchers and business analyst need to process large volume of data to convert the data to meaningful information. Historically all the professionals are doing this manually and later with the invention of computers by developing algorithms and coding programs. Eventually size of data is growing with the advancement of social economic developments and advancement of technological sectors. This posed greater challenge to the technocrats. So there was demand to automatically process and analyze the data. Scientists started working towards the direction of artificial intelligence (AI). They developed the branch of AI as machine learning (ML). Large number of areas are using these techniques and getting benefit of these models. Financial data analyst, business analyst, medical researchers, software professionals are applying machine learning to increase the speed of large amount of data for decision making by drawing patterns with minimal and no human intervention. The purpose of this paper is to discuss a few widely publicized ML algorithms and their advantages and benefits.
Keywords: Machine learning, pseudo code, algorithm, learning’s.
Scope of the Article: Machine learning.