amarchenkova, Author at Anastasia Marchenkova

How much math and programming do you need to take the Deep Learning Specialization on Coursera?

The Deep Learning Specialization on Coursera is one of the most popular online courses. Andrew Ng's goal to train the next million AI experts begins with this Specialization. It's been one of my favorite Specializations to take, and I found it very accessible. However, there are a few prerequisites that are useful to have before starting this Specialization. However, if you don't have these prerequisites, don't worry! It's actually not hard to get ...

by amarchenkova December 26, 2017

Learning

Up-Goer Five Research Challenge

The Up-Goer Five Research Challenge is an exciting initiative to explain your research using only the most common ten hundred words in the English language. It's hard, but this movement is necessary. Using jargon and complex terms is a huge problem in science. All this was inspired by XKCD's Up-Goer Five. And it's not about dumbing down your research or the science. The goal is to be clear enough to communicate to ...

Quantum Computing

QISKit Quantum Computation Webinar

Want to learn more about QISKit, IBM's quantum information software kit, with the top researchers at IBM? IBM just announced a learning webinar on January 9th, 2018 at 12:00 PM EST. QISKit is easy to start working with because you can code in Python, and they've also put together a lot of Jupyter notebook tutorials. Not only that, but you can run your code on online quantum computing simulators, or even run ...

by amarchenkova December 12, 2017

Learning

How to find interesting Coursera courses

I take a LOT of Coursera courses. And I LOVE LEARNING so finding interesting Coursera courses and discovering and sharing these hidden gems is one of the perks of the job. There are so many cool courses, but before I joined, I honestly thought Coursera only had a few hundred courses. As of this writing, we have nearly 3,000. However, if you don't know exactly what you're looking for, you might get ...

by amarchenkova November 10, 2017

Quantum Computing

Quantum computers: are they here?

Are quantum computers here? This morning, IBM announced their 20-qubit processor is now available, with a 50-qubit prototype (a device, not a simulator) that has been successfully measured and tested and will be available in their next-generation systems. The 5 qubit system was impressive, as was the 16 qubit system. But one of the most impressive things has been the rate at which IBM has progressed. The ability to reliably operate several working quantum ...

Startups , Women in Tech

YCombinator Female Founders Conference 2017

The best part of the YCombinator Female Founders Conference this year was how actionable the advice was. I really appreciated Aileen Lee's no-nonsense attitude, where she outlined exactly what points women will be grilled at in venture capital meetings. The overaching message of the conference was: There’s no perfect time to start something, just start Here are my raw notes from the 2017 YCombinator Female Founders Conference YCombinator - Jessica Livingston “Jessica Livingston’s Pretty Complete List ...

Quantum Computing

Post-Quantum Cryptography at Google

Google, one of the front runners in the race for quantum computing, announced their first experiments with post-quantum cryptography. Why does it matter? If Google is starting to worry about post-quantum cryptography, maybe they had a breakthrough in large scale universal quantum computing? See the original blog post here: https://security.googleblog.com/2016/07/experimenting-with-post-quantum.html Google’s Post-quantum cryptography experiment It’s time to explore options for quantum safe algorithms beyond theoretical implementations. Google has launched “CECPQ1” - a post-quantum key exchange ...

by amarchenkova February 28, 2016

Quantum Computing

What’s the difference between quantum annealing and universal gate quantum computers?

Just as a GPU processes instructions related to graphics exponentially faster than a CPU, certain problems can be solved quadratically or polynomially faster with quantum algorithms, by exploiting the quantum effects of superposition and entanglement. But what is quantum annealing, and how does it differ from a universal gate quantum computer? D-Wave, the most famous quantum annealer, and universal gate quantum computing are not competitors. While they rely on the same concepts, ...