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How To Think Everyday
How To Think Everyday
How To Think Everyday
Audiobook18 minutes

How To Think Everyday

Written by Deepak Gupta

Narrated by Digital Voice Mike G

Rating: 0 out of 5 stars

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About this audiobook

This audiobook is narrated by a digital voice.

A great thinker knows when to stop thinking. A fool doesn't think, and an insane person doesn't stop thinking.

Many philosophers have accurately said rightful thinking is the capability of an enlightened and generous mind. We shouldn’t think according to the environment we perceive, but by the mind practice. Most people avoid thinking much, assuming it as a sickness of their minds, but actually it’s not.

How to Think Everyday book can advise and assist anyone to approach the following problems:

1. Why and How Overthinking isn’t Sickness

2. The Concept of Concentration

3. How to Make Your Mind Energetic

4. Making Day Alive

5. Worrying About a Problem

6. The Training of Mind

We want to give orders to our mind, but commanding it is a tough situation because it's the mind that commands our body. So, in real meaning, we have to restrain the boss who commands it. That's the ironic and laughable situation of controlling the controller.

LanguageEnglish
PublisherDeepak Gupta
Release dateSep 29, 2023
ISBN9798868698705
How To Think Everyday
Author

Deepak Gupta

Dr. Deepak Gupta is an assistant professor at Maharaja Agrasen Institute of Technology, Delhi, India. He is an eminent academician, including roles as lecturer, researcher, consultant, community service, PhD, and post-doctorate supervision. Dr. Gupta focuses on rational and practical learning and has contributed important literature in the fields of Human-Computer Interaction, Intelligent Data Analysis, Nature-Inspired Computing, Machine Learning, and Soft Computing. Dr. Gupta has authored/edited a number of books, including Emerging Trends and Roles of Fog, Edge, and Pervasive Computing in Intelligent IoT-Driven Applications, Wiley; Advanced Machine Intelligence and Signal Processing, Springer; Deep Learning for Medical Applications with Unique Data, Elsevier/Academic Press; Explainable Edge AI: A Futuristic Computing Perspective, Springer; Applications of Big Data in Healthcare, Elsevier/Academic Press; and Data Science for Covid-19, Volumes 1 and 2, Elsevier/Academic Press; among others.

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