|¦Si vis pacem, para bellum¦| Technology& engineering are my passion. Books are my friends. Cooking is my comfort. Love is my Nirvana. Management is my study.
Oct 4, 2020 • 37 tweets • 7 min read
34 Hard Truths You Should Know Before Becoming “Successful” @BenjaminPHardy#Thread1. It’s Never As Good As You Think It Will Be.
Until you appreciate what you currently have, more won’t make your life better.
Sep 23, 2020 • 4 tweets • 3 min read
What #AI lacks, humans can fill in.
What humans lack, who will fill in.
Dual standards of our society and human thinking. #Ethics, #fairness and other values are regulated for AI but same values for humans are not regulated.
Time to do introspection.
If humans are unable to grasp the ethics, morale and fairness values due to deep diversity of humanity, how can we ensure ethical frameworks created for #AI will be universal.
Day 18 update
Completed reading from Robert Cialdini
Started another reading from chapter 2 of Mayer’s book on Social Psychology, completed 5 pages
Day 18 update
- spotlight effect is experienced when we think people are paying more attention to us then needed.
- we also suffer from illusion of transparency that our emotions are easily detectable.
Some people teach you a precious lessons of life.
Thank them for that.
Forgive them or forget them but learn a lesson.
Externalising causes and attributing them to outside is common behaviour in difficult times.
In this time, you realise true nature of a person.
Accept it but don’t have expectations.
Follow your path because you know your consciences is clear.
Jul 15, 2020 • 53 tweets • 62 min read
D1 of #50daysofudacity
I finished up to Lesson 2.19
My notes can be found here for quick refernce docs.google.com/document/u/1/d…
D2 of #50daysofUdacity
I finished up to Lesson 2.25
Also completed lab assignment for a linear regression model to predict the price of taxi in new york city
My notes can be found here for quick reference
@InfoQ on #Microservices
microservice architectural pattern is best used for implementing the "breadth" of business functionality. Engineers should avoid building deep call chains of services, as this can increase the probability of failure 1/2
Deep chains in #Microservices can also increase the challenges of locating and diagnosing issues. Code libraries can often be used more effectively to implement "depth" within services.
Good advice for #architects dealing with issues. Thanks @InfoQ 2/2
May 28, 2020 • 4 tweets • 3 min read
1/n) #automl automated machine learning is shifting a field of #ml from #knowledge centric to compute centric.
It also providing much needed abstraction layer for #businessgrowth and #product folks to directly leverage power of ml without the need of Experts.
2/n) Also from business point of view, it shifts #MachineLearning from fixed cost (Experts, systems, data) to variable cost (pay per use automl). This will result in death nail of many ml teams across Enterprise.
If #ai is source for future competition and promising to provide competitive advantages, have any one thought of how to protect it and sustain it. If you can't protect and sustain, what is the use of competitive advantage. #BusinessIntelligence#Competition
Today's race of #AI is more towards accuracy and we are pouring enough resources for same. When time for industrialisation come to reap benefits, #ai will face many challenges. Industrialisation is a very big opportunity. #Innovation#technology
Dec 10, 2018 • 5 tweets • 5 min read
Just awesome @Q2Bconference #Q2B2018#QuantumComputing vs. Classical computing. 100 quantum bits need 140 terabytes of classical memory @Q2Bconference
Nov 17, 2018 • 4 tweets • 3 min read
Just say no to #blockchain (for now) advises Gartner
"It's still not appropriate for the vast majority of enterprises to consider blockchain technology at its current level of maturity," said Gartner research fellow David Furlonger on Wednesday computerworld.co.nz/article/649020…
According to @Gartner_inc, #Blockchain technology has a number of issues that need to be addressed before enterprises can confidently roll it out at scale.