Elderly people, old people and senior citizens are blessing, best advisor and source of information and learning

*The Parable of the Coffee Bottle*
________________

A young couple had neighbours who were senior citizens, the husband around 80 years old, and the wife about 5 years younger. 

The young couple were very fond of the elderly couple and made it a point to visit them and have coffee with them every Sunday.

They observed that the old lady would bring the coffee bottle to her husband to be opened, every time.

The thoughtful young man gifted the lady a gadget, without her husbands knowledge, to easily open the bottle, and showed her how to use it.

On their next visit, the old lady once again brought the bottle for her husband to open! The young couple was amazed! Had she forgotten about the gadget?! 

When the opportunity arose to be alone with the old lady, they quizzed her about this. Her reply made them speechless......

She said: "Oh, I can open the bottle myself, even without your gadget! But I get him to open it so he feels he is still stronger than I am and thus the man of our home.......that he remains useful to me as always; that I still depend on him; that togetherness is the main ingredient of any marriage....we don't have many more years of life in us, and togetherness is of utmost importance......"

*Moral*: Never underestimate the wisdom of the elderly. Our parents/grandparents may not be bringing in money any longer, but their guidance alone is priceless. You may have a fruitless tree in your garden, but at least it gives you shade......you will not cut it off, now, will you ? Looking after the elderly and infirm should be looked upon as a *blessing*.

Important message regarding oximeter (during this corona virus pandemic)

*CAUTION - IMPORTANT MESSAGE*

Many of them are forwarding a message to download an app that checks your blood oxygen level. We know that, low oxygen level can be an indicator for Covid infection.

Be careful, incase you get a link to download such APPS to check your Oxygen levels.
 
*"Yes" People will fall prey to this quickly*, because of the current crisis (Covid19) where good health and safety is of prime importance.

*Remember, this is another Covid19 related cyber Crime*
 
Note that, your index finger (fingerprint) is used for various personal data authentication. Especially, for eWallet transactions and as an alternative to password for screen lock and apps. 

It is risky, as these apps ask us to keep our finger on camera to compute the oxygen levels, where it can be misused by the hackers to steal our fingerprints.

These apps also steal your personal photos and data as it asks for storage and gallery permissions during installation. 

It can also read your SMS inbox and know how much money you have in your bank accounts by reading the bank account transaction alerts. 

I humbly request you not to download such apps, instead buy one oxymeter which is easily available . 

Roles and duties of Mechanical engineer

Mechanical engineers research, design, develop, build, and test mechanical and thermal devices, including tools, engines, and machines.

Mechanical engineers typically do the following:

  • Analyze problems to see how mechanical and thermal devices might help solve the problem.
  • Design or redesign mechanical and thermal devices using analysis and computer-aided design.
  • Develop and test prototypes of devices they design.
  • Analyze the test results and change the design as needed.
  • Oversee the manufacturing process for the device.

Mechanical engineers design and oversee the manufacturing of many products ranging from medical devices to new batteries. They also design power-producing machines such as electric generators, internal combustion engines, and steam and gas turbines as well as power-using machines, such as refrigeration and air-conditioning systems.

Like other engineers, mechanical engineers use computers to help create and analyze designs, run simulations and test how a machine is likely to work.

Career associated with data science

  • Machine Learning Scientist: Machine learning scientists research new methods of data analysis and create algorithms.

  • Data Engineer: Data Engineers prepare the “big data” infrastructure to be analyzed by Data Scientists. They are software engineers who design, build, integrate data from various resources, and manage big data.

  • Data Analyst: Data analysts utilize large data sets to gather information that meets their company’s needs.

  • Data Consultant: Data consultants work with businesses to determine the best usage of the information yielded from data analysis.

  • Data Architect: Data architects build data solutions that are optimized for performance and design applications.

  • Applications Architect: Applications architects track how applications are used throughout a business and how they interact with users and other applications.

Advantages, importance, benefits and scope of Data Science

Big data is very quickly becoming a vital tool for businesses and companies of all sizes.

The availability and interpretation of big data has altered the business models of old industries and enabled the creation of new ones.

Data-driven businesses are worth $1.2 trillion collectively in 2020, an increase from $333 billion in the year 2015. 

Data scientists are responsible for breaking down big data into usable information and creating software and algorithms that help companies and organizations determine optimal operations. 

As big data continues to have a major impact on the world, data science does as well due to the close relationship between the two.

Techniques used in data science

Techniques

  • Linear regression

  • Logistic regression

  • Support vector machine
  • Clustering is a technique used to group data together.

  • Dimensionality reduction is used to reduce the complexity of data computation so that it can be performed more quickly.

  • Machine learning is a technique used to perform tasks by inferencing patterns from data.

Languages used in Data Science



  • Python is a programming language with simple syntax that is commonly used for data science. There are a number of python libraries that are used in data science including numpy, pandas, and scipy.

  • R is a programming language that was designed for statisticians and data mining and is optimized for computation.

  • Julia is a high-level, high-performance, dynamic programming language well-suited for numerical analysis and computational science.

Framework and visualization tools used in Data Science

Framework

*     Tensor flow is a framework for creating machine learning models developed by Google
  • Pytorch is another framework for machine learning developed by Facebook.
  • Jupyter notebook is an interactive web interface for Python that allows faster experimentation.
  • Apache Hadoop is a software framework that is used to process data over large distributed systems.

Visualization Tools

  • Plotly provides a rich set of interactive scientific graphing libraries.
  • Tableau makes a variety of software that is used for data visualization.
  • PowerBI is a business analytics service by Microsoft.

Online professional certificate course in Data Science from Harvard University

Data Science online course by Harvard University


Course benefits
  • Fundamental R programming skills
  • Statistical concepts such as probability, inference, and modeling and how to apply them in practice
  • Gain experience with the tidyverse, including data visualization with ggplot2 and data wrangling with dplyr
  • Become familiar with essential tools for practicing data scientists such as Unix/Linux, git and GitHub, and RStudio
  • Implement machine learning algorithms
  • In-depth knowledge of fundamental data science concepts through motivating real-world case studies
Advantages:

ience
HarvardX

What you will learn

  • Fundamental R programming skills
  • Statistical concepts such as probability, inference, and modeling and how to apply them in practice
  • Gain experience with the tidyverse, including data visualization with ggplot2 and data wrangling with dplyr
  • Become familiar with essential tools for practicing data scientists such as Unix/Linux, git and GitHub, and RStudio
  • Implement machine learning 
Duration : 17 months

Online course on computer science from Harvard University

Introduction to Computer Science

An introduction to the intellectual enterprises of computer science and the art of programming.


  • Length:
    12 Weeks 

  • Effort:
  • 6–18 hours per week  

  • Institution
  • Harvard university

  • Level:
  • Introductory

  • Language:
  • English

  • Course Type:
  • Self-paced on your time

An entry-level course taught by David J. Malan, CS50x teaches students how to think algorithmically and solve problems efficiently. Topics include abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development. Languages include C, Python, SQL, and JavaScript plus CSS and HTML. Problem sets inspired by real-world domains of biology, cryptography, finance, forensics, and gaming.

Correct usage of English:4

Difference between peace and piece

Peace
 (Noun) = No disturbance.
Synonyms: Calm, Hush, Quiet, Solitude, Tranquility
Example: Peace is not merely a distant goal that we seek, but a means by which we arrive at that goal.

Piece (Noun) = A portion of an     object
Synonyms: Chip, Chunk, Lump, Segment, Shred, Slice
Example: In anger he tore important papers into pieces.

Correct usage of English:3

If two subjects are of different numbers, then    different forms of ‘to be’ or ‘have’ auxiliaries should be used.

Error: Two boys were / intelligent but / a boy dull. 

And the correct sentence should be:

Two boys were intelligent but a boy was dull.

Meaning and usage of give off

Meaning : Give off

Meaning:

Emit
 pollution or something 
unpleasant
Expand
Behave
 in a way that makes people think of you
Examples:

The traffic police stopped the 
vehicle because it was giving off 
lot of black smoke.

Correct usage of English:2

Correct usage of infinitive 

Errors in using English language

Some
 verbs such as appear, seem,  forget, fail, happen, etc. are followed by infinitives.

Error: He forgot / that he should /   bring a pen. 

Correct usage of forgot in sentence

He forgot to bring a pen.

Correct usage of English: 1

In the sentence having main verb    ‘know’, infinitive is not used just   after it but is used after using appropriate question words such as   how / when / why / where.

Example: He informed me / that he knew to / play on the harmonium. / No error

Explanation:
 As per the rule given above there is an error in the second part of the sentence, question word ‘how’ should be used after main verb ‘knew’. So, insert ‘how’ in between knew and to.

Therefore
 the correct sentence should be:

He
 informed me that he knew how to play on the harmonium.

Reference

Easy softwares by Anil Singhania The Website of Professor Paul Brians https://brians.wsu.edu/; Common spoken English mistakes by Alif innovative solutions; 25000+ Amazing Facts - Did You Know?; IP idioms and phrases

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