Mark Zuckerberg and Facebook, An Outline

Theme: Mark Zuckerburg Organization: Reordering a specific purpose in chronological order: that my audience can understand who Mark Zuckerberg was before his achievement and who he was I hope. I. INTRODUCTION A. Pay attention to inspiration: Imagine sitting with your group of friends in your dorm room and building a social networking site for Texas. When you think that your network is global and you have a company that you would like to buy your website for millions of dollars. This may sound unrealistic, but Mark Zuckerberg has become a reality.

This morning, I took a picture of Facebook from Mark Zuckerberg and photographed 176 headshots of various Marks over the past 14 years. Next, using FaceNet's TensorFlow implementation, we generated a feature vector ("fingerprint" of 512 numbers) for each implementation. I calculated the midpoint of all these eigenvectors and tried to find Plato ideal of Mark Zuckerberg's face. Next, we sorted all the collected faces based on the distance from the specification and pasted on this image.

As Facebook grew in the second half of the nineteenth century, Mark Zuckerberg met with increasingly important business experts who are considering investing in Facebook. Zuckerberg has built reputation with his destructive arrogance and has already acquired Pier Tell, a Silicon Valley peer entrepreneur, who was the first external investor co-founded PayPal in 1999. When participating in these negotiations, Zuckerberg needs to confirm that his business card, especially his business card is correct. He has two sets, one of which simply identifies him as CEO. Another group of cards read: "I am the chief executive ... it is a scorpion!"

It recently appeared as a second Facebook investor who wants Mark Zuckerberg to be the president. But like Uber's former CEO, Mr. Zuckerberg is too privately involved with Facebook's social and brand fraud. The Facebook business model has legalized data collection, and by its very nature, big data for data breach and algorithm profiling is everywhere. The good news is that there are 2 billion users on Facebook, mobile advertising is not stable in a meaningful way. The bad news is that Facebook has to hire more content editors and security workers. The bad news is that Facebook's algorithm can not detect content that makes up disliked words for up to five years.