Friday, March 13, 2020

Top Interesting Books on Internet of Things (IoT)

Top 5 Data Science Trends for 2020

Trend 2. Rapid growth in the IoT
According to a report by IDC, it is expected that the investment in IoT technology would reach $1 trillion by the end of 2020, which is an exceptional growth of connected devices. Many of them are smart devices. We are already using many apps and devices that are functioning based on  IoT. Google Assistant or Microsoft Cortana allow us to automate the regular things based on IoT only., Businesses are investing in this technology, especially in smartphone development that uses IoT.

Internet of Things: Architectures, Protocols and Standards

Simone Cirani, Gianluigi Ferrari, Marco Picone, Luca Veltri
John Wiley & Sons, 30-Aug-2018 - Technology & Engineering - 408 pages
This book addresses researchers and graduate students at the forefront of study/research on the Internet of Things (IoT) by presenting state-of-the-art research together with the current and future challenges in building new smart applications (e.g., Smart Cities, Smart Buildings, and Industrial IoT) in an efficient, scalable, and sustainable way. It covers the main pillars of the IoT world (Connectivity, Interoperability, Discoverability, and Security/Privacy), providing a comprehensive look at the current technologies, procedures, and architectures.

What is Data Science? - An Introduction to Data Science - New Developments

What is Data Science? - An Introduction to Data Science

Data driven or data analysis driven decision making is age old. But new data processing technology allows people to process data in ways that was not done before. Hence data will drive business decisions much more intensively in the next decade.

IT departments are not content anymore with just providing technology for processing data. The discipline and the profession of  IT is getting  involved in finding and understanding the relevance of new data sources, big and small.

The practice of business intelligence is  expanding to create to develop capabilities for analyzing and visualizing structured and unstructured data for their relevance for business decision making, and then building applications that can be run on a periodic basis which can be as small as even seconds to take crime or fraud prevention activities.

Data science is the name of this emerging discipline.

Data Science Tutorial 1 - Video



More videos are available on YouTube on Data Science

Concise Visual Summary of Deep Learning Architectures
Basically neural network architectures has number of articles on data science.

Data Science - New Developments

50 Years of Data Science
David Donoho
Journal of Computational and Graphical Statistics
Volume 26, 2017 - Issue 4
Pages 745-766  Published online: 19 Dec 2017

The 2020 Data Science Dictionary—Key Terms You Need to Know

Trends in Artificial Intelligence and Data Science for 2020

Top 5 Data Science Trends for 2020

Updated in 2020:  on  14 March 2020

7 June 2017, 2 September 2014