Everything You Should Know About Machine Learning

Programming Computers: Then and Now

I find it fascinating that today you can define certain rules and provide enough historical data to a computer, reward it for reaching closer to the goal and punish it for doing bad, which will get it trained to do a specific task. Based on these rules and data, the machine can be programmed to learn to do tasks so well that we humans have no way of knowing what steps it is explicitly following to get the work done. It’s like the brain, you can’t slice it open and understand the inner workings.

The days when we used to define each step for the computer to take are now numbered. The role we played back then, of a god to the computers has been reduced to something like that of a dog trainer. The tables are turning from commanding machines to parenting them. Rather than creating code, we are turning into trainers. Computers are learning. It has been called machine learning, for quite a while now (defined in 1959 by by Arthur Samuel). Other names being artificial intelligence, deep simulation or cognitive computing. However now, it really has picked up and based on the amazing things it can help computers do now, it is clearly going to be the future of what the IT industry will transform into.

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Making 3D Plots in OriginLab OriginPro

When I first wanted to use OriginPro to make 3D plots for my Raman and photoluminescence data I struggled to find a solution for little problems for hours. It was not like I had no one to consult, but I wanted to figure it out myself because the same philosophy with learning things previously has helped me immensely in learning things with authority and developing my own characteristic style, by putting in an extra amount of time and hard work.

Check with your university, there’s a big chance that they offer you students a free copy of OriginPro. It is an amazing piece of software, easy to learn and can make plots beautiful enough to be published in Science or Nature.

However when I was toiling through things, I also wished someone who had gone through the same thing could have documented it somewhere. Not surprisingly, no one had. So I wanted to. Here it goes.

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How do Court Reporters Type Incredibly Fast?

By Anupum Pant

I’ve always heard about short-hand, but I never cared to look it up and how it actually works. I had assumed that it must be very similar to what we type and it was a way to make your tyiping faster. Turns out, I was wrong. It’s very different.

Whatever happens in the court goes on record. There’s no computer doing the speech to text there. It’s humans. These people are trained to type about 200 words per minute and can manage an accuracy of 98.5%. That’s pretty incredible. But how they do it is a different story.

stenoThey use a different keyboard which has just 22 keys. There’s no full body QWERTY keyboard and it looks something like this.

Instead of typing down the whole word, they listen to how it sounds. The context doesn’t even matter to them. They just record the sounds. A long word can be completed in just a few strokes with their technique.

via [todolivas]