Where Edges Meet : A tenth board love story Book | by Shival Gupta |
Read Where Edges Meet: A Tenth Board Love Story book reviews & author details and more at badz.info Free delivery by Shival Gupta (Author). out of 5. Where Edges Meet A Tenth Board Love Story by Shival Gupta. our price 95, Save Rs. 5. Buy Where Edges Meet A Tenth Board Love Story online, free home. This is my (Shival Gupta's) New Site. Author: Shival Gupta. I met Dr. Kalam on 25th November on Lal Parade Ground in Bhopal(M.P.) where a.
A friend of mine could pull 24 straight waking hours working and then just disappear for the next Your time is precious that is why people pay you per hour for that time. Working towards a productivity club at work can help understand where and why are you lacking. You might agree with me that coworkers are often more observant of your flaws than yourself. Let your ego take the back seat for a moment and ask them.
Offer to help them. You have to know your goals individually and as a team to up your game.
How I started with learning AI in the last 2 months
If your company can afford it, a primer talk on productivity by an expert is a great way to start a group thought about this issue. While this philosophy has great application in going to battle, it also finds a very practical use in identifying bottlenecks that hinder uninterrupted flows in any direction.
Are you constantly frequently missing targets? Do you often negotiate deadlines or payload?10 Tips to Become a Pokémon Master
Do you always reply with a yes when someone asks if it can be done faster? Are you overwhelmed with the amount of work that you have to do everyday? If the answer to any one of these is a resounding yes, then there is a disconnect between you and what you believe of yourself.
This line of thinking is similar to how professional athletes always keep record their track times. Their job depends on improving it. They keep on working on improving this number.
Shival Gupta (Author of Where Edges Meet)
That is the required mindset of someone who wants to improve their productivity levels. But counting hours is just the rate of burn of towards your deadline. To put it more lucidly, let me alphabetize and rearrange the equation so it makes more sense. We get almost all of our work done in these hours. We spend it with my friends, family, and ourselves — sleeping, eating, socializing, living the life.
We are working the same hours but producing much lesser output.
Observe yourself for a week and sample out these hours for every day. In my experience, when we minimize their forced unproductive hours we increase happiness and job satisfaction. When we minimize our wasted productive hours, we increase our confidence and sense of achievement.
Unproductive hours should be treated with care as the reward machinery of our brain depends on them to generate contentment. It takes effort to make them productive otherwise they just become forced unproductive hours. Time is a resource. Supercharging your productivity time with efficiency. Hack efficiency To be honest, this is a highly subjective mind trick and there are no direct solutions to this. Having said that, efficiency can be improved by some accessible hacks that are commonly accepted— 45—15 rule: Work for 45 minutes and take a break for 15 minutes.
It keeps you from draining off and top-ups your output levels once the break is completed. Coffee, tea, energy drinks — whatever rocks your boat. I solved a couple of supervised learning problems such as regression and classification.
I used a very limited data set to try to predict which team will win a given IPL match using multivariate linear regression.
The predictions were really off, but it was kind of cool I played along with the demos on Google Machine Learning cloud to see what all things AI can do today well enough that Google was doing it as a SaaS product I stumbled upon AI Playbookan awesome resource organized by Andreessen-Horowitz, the esteemed venture fund. Truly one of the most handy resources for developers and entrepreneurs.
This was one of the most approachable examples of deep learning that we can do. With some courage, I started to implement some of the deep learning tutorials verbatim copy and paste and tried to train the model and run the code on my local machine.
As Steve Jobs said, you can only connect the dots looking backward. I took up the challenge and managed to build one using Tensorflow in less than two hours. I outlined this journey and the business needs of it in one of my articles a few days back. But I think that this article was one of the landmark moments in my AI learning journey.