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Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference

Bayesian Methods for Hackers

Bayesian Methods for Hackers illuminates Bayesian inference through probabilistic programming with the powerful PyMC language and the closely related Python tools NumPy, SciPy, and Matplotlib. Using this approach, you can reach effective solutions in small increments, without extensive mathematical intervention.


How does a message get from point A to point B on a network? Though the question may seem simple, the process isn't. Sean Wilkins, co-author of CCNA Routing and Switching 200-120 Network Simulator, discusses how basic packet routing works.

So you want to build a quadcopter drone! The first step is selecting a chassis, or airframe. In this excerpt from Building Your Own Drones: A Beginners' Guide to Drones, UAVs, and ROVs, John Baichtal shows you how.

In this excerpt from Effective Python LiveLessons (Video Training), Brett Slatkin discusses the problem with list comprehensions for large inputs.

The era of the smart car is coming. We're talking cars so smart they park themselves, avoid collisions, and even phone home when they need maintenance. In this article, The Internet of Things author Michael Miller examines the current state of smart car technology, and looks at the ultimate future of smart cars -- the self-driving automobile.

This chapter from More Predictive Analytics: Microsoft Excel takes a look at how to decompose a time series so that you can see how its seasonality operates apart from its trend (if any).

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Wow, who abducted our Windows 10 assumptions and left this smooth running and easy-to-use Operating System in their place?

It's time to consider the foibles of Laptop Life...

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