Brief Review Of Various Machine Learning Algorithms
计算机科学
算法
机器学习
人工智能
作者
Gagandeep Kaur,Sonia Goyal,Harpreet Kaur
出处
期刊:Social Science Research Network [Social Science Electronic Publishing] 日期:2020-01-01被引量:11
标识
DOI:10.2139/ssrn.3747597
摘要
In today's technology world machine learning plays an integral role in the digital transformation. Progressive technologies, methodologies, algorithms are tools which aid the organizations starting from startups to Behemoths that perform task appropriately, exactly and skillfully. Humans learn from past experiences and machine follow instructions that humans feed them. Then the machines fed with instructions make predictions depending on the data. These models help in making predictions which improve overtime by feeding data and information. Machine learning is about understanding, reasoning and is the core of various futuristic advancement in the era of Information Technology. Artificial Intelligence is the superset of machine learning and this paper highlights the relationship between artificial intelligence, machine learning and deep learning. Through this paper we illuminate the basic concept of machine learning which is further associated with dataset of cement transportation and handling parameters to illustrate the proposed methodology for implementation of programming languages and its tools and algorithms which may be useful in getting desired predictions.