Question

For this assignment, you will select a current research paper (published since 2016) to review. You may select any research paper that is related to Data Science or Big Data Analytics. I strongly recommend that you start your search at Google Scholar . Once you enter your search term(s), select the "Since 2016" link on the left. Feel free to choose ANY relevant paper. (I would recommend that you select one that you can read and summarize in a reasonable amount of time. Don't select a 100 page paper!)

Need 200 words review on that paper

Please Don't rewrite already existing chegg answers

Answer 1

A current research paper published since 2016 been reviewed which is related to Data Science, and summarization on the same:
Data Science is a very important, emerging, multi-disciplinary, and scientific field and paradigm, which has been creating research opportunities and evolution in statistics, computing and intelligence science, using different and blend of various scientific methods, tools, processes, algorithms, machine learning principles, and systems that are in turn used for extracting knowledge and insights, technically from structured and unstructured data to learn, analyse, understand, and discover patterns from the raw or unprocessed data. These data are studied, researched, and analyzed from many perspectives, and some being even unknown, unfamiliar, thus demystifying plenty of possibilities of seeing and doing things in this world coming up with solutions for most of the complex problems we have and are facing.

Also, in real-world applications, it is driving practical changes in science, engineering, the public sector, business, social sci­ence, entertainment, and lifestyle domains.

Data Science includes and involves concepts, technologies, ideas, implementation, integration, and areas of Artificial Intelligence (AI), data analytics, Machine Learning (ML), pattern recognition, natural language processing and understanding, and Big Data manipulation. Not only these, but also it handles related other new scientific problems, technologies, and their solutions, from data- capture, creation, storage, retrieval, sharing, analysis, optimization, and visualization; integrative analysis applied all across heterogeneous and interdependent complex resources in order to make decisions, collaborate, and create values in better ways.

Data Science field is booming, evolving, has been developing, is coming up with new trends, transformations, updates, and opportunities, and it is being continuously innovated, requiring ideas and practices being shared, requiring multi-disciplinary approach, exchanged, and worked on, and promoting transdisciplinary and cross-domain collaborations amongst thought leaders, researchers, data scientists, industry practitioners, and potential users of Data Science and Analytics.

Data Science requires to be created and built with a strong bond to emerging Big Data and to other data-driven technologies. It requires both, traditional educational models and existing courses to be thought and designed all over again from scratch in a new way and perspective.