Space Time explores the outer reaches of space, the craziness of astrophysics, the possibilities of sci-fi, and anything else you can think of beyond Planet Earth with our astrophysicist host: Matthew O’Dowd.

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Richard Feynman on the ability to understand science

Want to learn how to program a quantum computer using Cirq? In this episode of QuantumCasts, Dave Bacon (Twitter: @dabacon) teaches you what a quantum program looks like via a simple “hello qubit” program. You’ll also learn about some of the exciting challenges…

Welcome to this new video that is focused on the upcoming version of Tensorflow 2.0. This a big update for the Tensorflow library to help make it easier to u...

Brief overview of the autonomous vehicle technical stack with a focus on sensors and compute hardware. Presentation includes a case study on the Tesla Autopilot version 2.0 hardware and the 2nd generation Ford autonomous platform.

You often have to solve for regression problems when training your machine learning models. In this episode of Coding TensorFlow, Developer Advocate Robert Crowe discusses how to build and train a TensorFlow model using Keras, where you are looking for the…

Can deep learning improve your gaming experience? We have no idea but we know how it works. Dr Mike Pound on Deep Learned Super Sampling

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At TensorFlow Dev Summit 2019, the TensorFlow team introduced the Alpha version of TensorFlow 2.0!

With TensorFlow 2.0, we are consolidating our APIs and integrating Keras across the TensorFlow ecosystem. In this talk, we give an overview of what to expect…

Learn how to use TensorFlow and Reinforcement Learning to solve complex tasks.


See the revamped dev site → https://www.tensorflow.org/


Watch all TensorFlow Dev Summit '19 sessions → https://bit.ly/TFDS19Sessions
Event homepage → https://bit.ly/TFDS19…

Learn how recent changes to Tensorflow make working with text data simpler and easier.

Speaker: Mark Omernick

See the revamped dev site → https://www.tensorflow.org/
Watch all TensorFlow Dev Summit '19 sessions → https://bit.ly/TFDS19Sessions


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Quantum computers are becoming available, which begs the question: what are we going to use them for? Machine learning is a good candidate. In this course we will introduce several quantum machine learning algorithms and implement them in Python.

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Data Skeptic features weekly discussions about the cutting edge in data science, AI, and other related topics.

Talking data science with Michael, a data scientist at Google. Previously at Mercedes. Want to learn data science with a job guarantee?

See what a modern day data analyst roadmap looks like: https://youtu.be/1PlPAHNmSeI

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In a 1989 NBC "Today Show" interview, Bill Gates explains why he chose not to locate his company in Silicon Valley. He also shares what he was looking for in job candidates. At the time, Microsoft had just over 4,000 employees.

If you wanted a job with Microsoft…

Use a computer? Game on a PC? Ever wonder how those graphics get so pretty? Let's go inside your high-end graphics card with this animation.
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