Learn AI and ML on the go!

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Curated from medium.com →

As the great Michelangelo said once — “I’m still learning”. Aren’t we all still learning and always continue to do so? In today’s world, everything is super connected and we can get anything on-demand. What an exciting time to be in this world!

The field of Artificial Intelligence and Machine Learning has grown multiple-folds in just the last decade. If you keep up with the research, you’ll go gaga! Almost every now and then a new development comes up making the last one obsolete.

The major question that arises in the minds of a lot of beginners is –

Read the complete article to learn how you can answer the questions and master the art of AI and ML!

The world around us is changing at massive speeds. Technologies such as personal assistants, self-driven cars, automatic retail checkout stores are a reality today. What if you thought about these applications 5–10 years. It would have seemed to be a fantasy! But why now? How has AI been able to make so much of development?

The basic answer to this question comprises of 3 reasons –

We use our smartphones and other electronic devices more than we spend time with real humans. Be it social media apps like Facebook, Snapchat, Instagram, or watching movies and other content on YouTube, Netflix, etc. This trend has caused a massive boom in the data generation.

Let us look at another interesting graph which signifies the cost of hard drives along with the year.

What used to cost a million dollars in the 80’s costs around a few cents now. That is the level of cost drop of hard drives!

Finally, the third trend shows how much the cost of computation has dropped!

As you can see the cost of running a computation on data has come down drastically and it continues to fall. This opens up opportunities that were not possible historically.

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Yves Mulkers

Yves Mulkers is the founder of 7wData and a widely followed voice in the data and AI community. He curates the 7wData and AI Beat newsletters, reaching hundreds of thousands of data and AI professionals, and writes on data strategy, analytics, AI, and the evolving data ecosystem.