How machines learn (a great video explanation of deep learning)

In today’s dose of inspiration, I wanted to give you an insight into one of the most innovative technologies of the past few years which has the potential to revolutionise entire industries: machine learning.

If you want to be a startup on the cutting edge of buzzwords, you have two major avenues right now.

The first is “blockchain”, which anyone who has seen the bubble of the cryptocurrency market rise can attest to (side note: I am amazed that a cryptocurrency designed after the internet Doge meme to show the silliness of cryptocurrencies is now worth more than $1 billion).

The other is “deep learning”.

And this is where many of most innovative advanced in technology are happening right now, as it allows software to “learn” how to complete complex tasks which previously only humans could do.

After all, machine learning now underpins Artificial Intelligence in everything from photo recognition, to video recommendations, to insurance price setting, medical document review and even financial trading.

Not to mention the fact that it can beat humans at the own games, and even display aspects of creativity.

Check out the great video above from the team at CGP Grey which explains just how machine learning works, why it was so hard and inaccurate to begin with, and what changes have recently transformed its ability to accurately perform certain repetitive tasks.

What fascinates me is that these software solutions are now getting to a stage where the people who designed the systems cannot actually understand how they work. Since the systems are designed to experiment and refine their own algorithms through several thousand iterations, the actual coders might be able to read the code but not understand exactly what the system is doing.

All we know is that it has trained itself to be particularly good at accomplishing the target it is initially set, without being able to understand ‘how‘.

Systems like this will continue to become more and more common in the future, and many people have actually predicted that they might result in hundreds of millions of people losing their jobs as it becomes cheaper for them to be automated by artificial intelligence.

But fortunately, this means that the human skills which are much harder to replace by automation, such as creativity, are becoming more and more sought after in the workplace.

So in the future, while some of the more repetitive tasks will be completed by software and robots, this will empower us humans to focus on trying ever more innovative and creative endeavors.

So to get your head start on building your creativity, don’t forget to get your free training right here at Idea to Value.

Did you know that scientific evidence shows your creativity decreases over time

What to read next:

What is innovation
The following two tabs change content below.
Chief Editor of Ideatovalue.com and Founder / CEO of Improvides Innovation Consulting. Coach / Speaker / Author / TEDx Speaker / Voted as the world's #5 Innovation blogger in 2016, I help individuals and companies build their creativity and innovation capabilities, so you can develop the next breakthrough idea which customers love.
By | 2018-01-08T10:27:55+00:00 January 8th, 2018|Curiosity|2 Comments