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PDF Editor FAQ

What are some good YouTube channels to learn Machine learning and data science?

Mathematicalmonk. He has highly lucid explanations of much of the material covered in a an advanced undergrad or grad-level introductory course.

What is the learning path for SDN?

These presentations are given by SDN pioneers Scott Shenker, Nick Mckown. They will provide you a good background in SDN. Its good to start from here.* Go through Prof. Nick Feamster's Coursera course, which has a very good material for beginners https://www.coursera.org/course/sdn to actually work on the SDN code and to learn SDN in depth from scratch. The only prerequisite for this is to be proficient in college level introductory Networking course.* Mininet is a tool which creates virtual topologies in a Linux environment and supports SDN by providing virtual SDN capable switches to perform simulation.Mininet Walkthrough* http://archive.openflow.org/wk/index.php/OpenFlow_Tutorial, Open-flow Tutorial, learn about the interfaces between the SDN controllers and switches.* Try implementing different topologies in Mininet, Work with the Openflow and create hub, switch, firewalls in openflow ( All the resources are provided in the SDN course mentioned above )* Keep updated with the SDN community, follow the mailing lists in any open source projects - Here is the complete list of projects and contribute List of OpenFlow Software Projects

If integrals and derivatives are linear transformations, why do we learn about linear transformations so later in the math sequence?

Because, someone, at some point, for some reason, decided that everyone in high school needs to learn calculus.There’s no reason why you couldn’t learn level linear algebra first. In fact, you can get rather far in the topic before you ever see any sort of derivative. The school I teach at actually has a basic linear algebra class that comes before calculus 1, though it’s a bit idiosyncratic.This isn’t the only type of math that you don’t need calculus to start learning about: discrete math, statistics, and number theory are other topics that can branch out of high school algebra.But no, we as a society decided that calculus comes first. Okay, sure, it is absolutely necessary to master if you work in science, engineering, or even economics. For them, it’s worth getting started early. But for most everyone else, you’re not actually going to find a use for it! And the worst thing of all is that most of these people grow up thinking that math is a linear stepladder, and that because they had no appetite for computing derivatives, they can’t go further in math.By the way, you don’t need to know that derivatives and antiderviatives are part of a larger class of linear functions to make use of them. It’s a nice bit of context, but most linear algebra start with operations on finite dimensional spaces. The vector space of functions of one variable is kind of a more advanced idea. So, I don’t think taking introductory linear algebra nor introductory calculus will help with the other. But the point is, there’s no reason for everyone to necessarily take one before the other.

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