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A bicycle-sharing system, public bicycle system, or bike-share scheme, is a service in which bicycles are made available for shared use to individuals on a short term basis for a price or free. Many bike share systems allow people to borrow a bike from a "dock" and return it at another dock belonging to the same system. Docks are special bike racks that lock the bike, and only release it by computer control. The user enters payment information, and the computer unlocks a bike. The user returns the bike by placing it in the dock, which locks it in place. Other systems are dockless. For many systems, smartphone mapping apps show nearby available bikes and open docks.

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bicycle-sharing-system-in-us's Introduction

Reddy Prasad works as AIML – Consultant @Girikon Solutions Pvt. Ltd. Team adept at collecting, analyzing, and interpreting large datasets, developing new forecasting models, and performing data management tasks. Possessing extensive analytical skills, strong attention to detail, and a significant ability to work in team environments and hosts Learn With Reddyprasade. He spends a lot of time telling people that the formula for success and happiness is to lift each other up and share what we learn. He is trying his very best to follow his own advice. He lives in Bangalore, India.

Reddy Prasade is AIML – Consultant at Sumeru Solutions Private Limited; Founder of LearnbyDoing, Skill Developement Center at Sumeru Solutions Private Limited.

Reddy Prasade also works on machine learning with an emphasis on deep learning. He founded and led the “ClientoClarify.AI Brain” project which developed massive-scale deep learning algorithms. This resulted in the famous “ClientoClarify.AI cat” result, in which a massive neural network with 1 billion parameters learned from unlabeled YouTube videos to detect cats. More recently, he continues to work on deep learning and its applications to computer vision and speech, including such applications as autonomous driving.

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