Capri GranvilleMar 27, 2018
The Browser of a Data Scientist
Yet another funny cartoon about data scientists. More cartoons about data science, can be found here.
This one was originally posted here. As a bonus, here is another one:
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The Browser of a Data Scientist
Capri GranvilleMar 18, 2018
Traditional Programming versus Machine Learning, in One Picture
I found this on Facebook, but it could be 30 years old. Not sure who the original author was, but the quality was very poor, so I re-created it in Excel. I did not change anything to keep it funny as intended. Of course, you should add a back loop in the Machine Learning box: an arrow pointing from the “Program” box back to the “Output” box.
For other interesting “one picture” articles (machine learning in one picture, and many more) follow this link. For other funny articles about programming, follow this link.
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Traditional Programming versus Machine Learning, in One Picture
Capri GranvilleFeb 16, 2018
Book: The Master Algorithm
Full title: The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World – February 13, 2018.
About the Author
Pedro Domingos is a professor of computer science at the University of Washington. He is a winner of the SIGKDD Innovation Award, the highest honor in data science. A fellow of the Association for the Advancement of Artificial Intelligence, he lives near Seattle.
Domingos’ core argument is that machine learning needs an unifying theorem, not unlike the Standard Model in physics or the Central Dogma in biology. He takes readers through a historical tour of artificial intelligence and machine learning and breaks down the five main schools of machine learning (below). But he argues that each has its limitations and the main goal for current researchers should be to discover/create “The Master Algorithm” that has the ability to learn any concept aka act as a general purpose learner.
Buy the book on Amazon.
Source for picture: click here.
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Book: The Master Algorithm
Capri GranvilleFeb 16, 2018
Book: Blockchain Basics
In 25 concise steps, you will learn the basics of blockchain technology. No mathematical formulas, program code, or computer science jargon are used. No previous knowledge in computer science, mathematics, programming, or cryptography is required. Terminology is explained through pictures, analogies, and metaphors.
This book bridges the gap that exists between purely technical books about the blockchain and purely business-focused books. It does so by explaining both the technical concepts that make up the blockchain and their role in business-relevant applications.
What You’ll Learn
- What the blockchain is
- Why it is needed and what problem it solves
- Why there is so much excitement about the blockchain and its potential
- Major components and their purpose
- How various components of the blockchain work and interact
- Limitations, why they exist, and what has been done to overcome them
- Major application scenarios
Who This Book Is For
Everyone who wants to get a general idea of what blockchain technology is, how it works, and how it will potentially change the financial system as we know it.
The book is on Amazon.
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Book: Blockchain Basics
Capri GranvilleFeb 15, 2018
Your Journey to Data Science Maturity (by Kirk Borne)
Great, short visual summary produced by Kirk Borne. Highlights:
- Computational
- Ask the right questions
- Design thinker
- Willingness to fail
- Participate in competitions
- Team sport
- Data storyteller
- Consulting job
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Your Journey to Data Science Maturity (by Kirk Borne)
Capri GranvilleFeb 14, 2018
AI: Robots Helping Each Other (Nice Video)
Interesting video by Boston Dynamics about robots helping each other to open a door. Maybe next time it will be about robots fighting against each other. Think about two armies at war against each other, with each soldier (a robot) collaborating with his team to fight the enemy (consisting of robots as well.) You could make a movie out of it!
A more peaceful example of applications is driver-less cars. These cars could cooperate together to optimize everyone’s commute, unlike human drivers focused on optimizing their own commute at the expense of other drivers. Yet each driver-less car would probably be powered by a different algorithm, allowing some of these robots to be more aggressive drivers than others.
For more articles on AI and robots or robotic, click here.
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AI: Robots Helping Each Other (Nice Video)
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