Description

Blockchain Blueprint 2019 TUTORiAL

Blockchain Blueprint 2019 TUTORiAL
.MP4 | Video: 1280×720, 30 fps(r) | Audio: AAC, 48000 Hz, 2ch | 1.92 GBDuration: 1.5 hours | Genre: eLearning | Language: English
A Mini Intro Course To Blockchain

What you’ll learn

How to use Blockchain technology in your industry or business

Requirements

Be a startup or small/medium business looking to incorporate blockchain technology in your company
Be interested in learning more about blockchain and how it can benefit your business

Description

This course covers a range of blockchain experts across different industries where you will gain insights into the blockchain space and how to incorporate it into your business or startup. You will gain real-world first-hand knowledge from experts who are living and breathing the blockchain technology.

This will save you a lot of time, but also help you avoid costly mistakes that could be easily avoided if you knew what to do to begin with. Instead of having to fly all over the world to meet these experts in person, we’ve compiled their knowledge here for your ease of learning in one spot from the comfort of your own home.

o many courses and books just bombard you with the theory, and math, and coding… But they forget to explain, perhaps, the most important part: why you are doing what you are doing. And that’s how this course is so different. We focus on developing an intuitive *feel* for the concepts behind Deep Learning algorithms.

With our intuition tutorials you will be confident that you understand all the techniques on an instinctive level. And once you proceed to the hands-on coding exercises you will see for yourself how much more meaningful your experience will be. This is a game-changer.

3. EXCITING PROJECTS

Are you tired of courses based on over-used, outdated data sets?

Yes? Well then you’re in for a treat.

Inside this class we will work on Real-World datasets, to solve Real-World business problems. (Definitely not the boring iris or digit classification datasets that we see in every course). In this course we will solve six real-world challenges:

• Artificial Neural Networks to solve a Customer Churn problem
• Convolutional Neural Networks for Image Recognition
• Recurrent Neural Networks to predict Stock Prices
• Self-Organizing Maps to investigate Fraud
• Boltzmann Machines to create a Recomender System