Ben Cummings – Search Find Buy
Original price was: $999.00.$49.00Current price is: $49.00.
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Description
Ben Cummings – Search Find Buy
Ben Cummings – Search Find Buy | 7.48 GB
Build A Profitable Physical Products Business. From The Ground Up.
Easy to follow. Current. In-depth.
This course walks you through every step with detailed,
easy-to-follow videos and action tasks, following a proven 4-step
formula for success: select, source, list, and launch.
Search.Find.Buy. gives you the right fundamentals for successfully selling on Amazon.
Meet Your Instructor, Ben Cummings
Ben Cummings is a seven-figure eCommerce seller and life-long
entrepreneur. Unlike other trainers who only run businesses in their
nightmares, Ben is in the trenches each and every day (like you!),
slugging it out in the marketplace, and finding success that places him
in the top 1% of sellers in the world.
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.
Are you tired of courses based on over-used, outdated data sets?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
- Stacked Autoencoders* to take on the challenge for the Netflix $1 Million prize
*Stacked Autoencoders is a brand new technique in Deep Learning which didn’t even exist a couple of years ago. We haven’t seen this method explained anywhere else in sufficient depth.
4. HANDS-ON CODING