Top 10 Scary DeepFake Videos

https://www.youtube.com/watch?v=5t02JfpGfcQ

🎥 Top 10 Scary DeepFake Videos
👁 2 раз ⏳ 660 сек.
Top 10 Scary DeepFake Videos
Subscribe To Beyond The Screen: https://bit.ly/2txTtSd

Top 10 Most Anticipated Movies Of 2019
https://www.youtube.com/watch?v=D2aCfAiXZBk

Welcome back everyone - today were looking at a topic that I find fascinating - deep fakes. The phrase is a combination of the word fake and the phrase deep learning - where artificial intelligence is used to create convincing images, videos or sounds that seem very - human - too human. Some people are excited about this new piece of cuttin

#PyTorch #MachineLearning
PyTorch Machine Learning Tutorial - Machine Learning with Python and PyTorch

Наш телеграм канал - https://tele.click/ai_machinelearning_big_data

https://www.youtube.com/watch?v=TB-G1KqRb5o

🎥 PyTorch Machine Learning Tutorial - Machine Learning with Python and PyTorch
👁 1 раз ⏳ 3292 сек.
Master Deep Learning and Computer Vision with PyTorch - Full Course on sale for $10! (normally $200):https://www.udemy.com/pytorch-for-deep-learning-and-computer-vision/learn/v4/?couponCode=RAYPYTORCHYOUTUBE09

PyTorch has rapidly become one of the most transformative frameworks in the field of Deep Learning. Since its release, PyTorch has completely changed the landscape in the field of deep learning due to its flexibility, and how easy it is to use when building Deep Learning models.

Rayan Slim's channe

​Data Science Digest
https://habr.com/ru/post/442212/

🔗 Data Science Digest
Хабр, привет! Очень давно я вел на Хабре дайджест посвященный AI и BigData. Сейчас хочу восстановить его и раз в месяц делать подборку интересных материалов...

​How does Apache Spark run on a cluster?

https://towardsdatascience.com/how-does-apache-spark-run-on-a-cluster-974ec2731f20?source=collection_home---4------1---------------------

🔗 How does Apache Spark run on a cluster? – Towards Data Science
Whether you are a Data Engineer or a Data Scientist, getting up and running with Apache Spark is a relatively easy process from a…

​Coloring Big Graphs with AlphaGoZero

https://arxiv.org/abs/1902.10162

🔗 Coloring Big Graphs with AlphaGoZero

​How to train Keras model x20 times faster with TPU for free

Blog by Chengwei Zhang: https://medium.com/swlh/how-to-train-keras-model-x20-times-faster-with-tpu-for-free-cac6cf5089cb

🔗 How to train Keras model x20 times faster with TPU for free
For quite some while, I feel content training my model on a single GTX 1070 graphics card which is rated around 8.86 TFlops single…

🎥 PyConBy: Alejandro Saucedo, A practical guide towards explainability and bias evaluation in ML
👁 1 раз ⏳ 2324 сек.
PyCon Belarus 2019, Minsk
Data Science Track

A practical guide towards explainability and bias evaluation in machine learning - Alejandro Saucedo
In this talk we will demystify the concept of "bias in machine learning" through a hands-on example. We will be tasked to automate an end-to-end loan approval process by training a deep learning tensorflow model on sample data. We will then dissect the model and dataset showcasing hidden common risks, and we will provide important insight on the key tools and te

​The Python Dreamteam
As a Data Scientist, I code almost entirely in Python. Using the pipenv/pyenv combo for Python makes my life slightly less terrifying.

Наш телеграм канал - https://tele.click/ai_machinelearning_big_data

https://towardsdatascience.com/the-python-dreamteam-27f6f9f08c34?source=collection_home---4------4---------------------

🔗 The Python Dreamteam – Towards Data Science
As a Data Scientist, I code almost entirely in Python. Using the pipenv/pyenv combo for Python makes my life slightly less terrifying.

​Make music with GANs!

GANSynth is a new method for fast generation of high-fidelity audio.

🎵 Examples: http://goo.gl/magenta/gansynth-examples
⏯ Colab: http://goo.gl/magenta/gansynth-demo
📝 Paper: http://goo.gl/magenta/gansynth-paper
💻 Code: http://goo.gl/magenta/gansynth-code
⌨ Blog: http://magenta.tensorflow.org/gansynth

🔗 GANSynth: Adversarial Neural Audio Synthesis: Online Supplement

​The Ultimate Guide to Data Cleaning
When the data is spewing garbage

Наш телеграм канал - https://tele.click/ai_machinelearning_big_data

https://towardsdatascience.com/the-ultimate-guide-to-data-cleaning-3969843991d4?source=collection_home---4------3---------------------

🔗 The Ultimate Guide to Data Cleaning – Towards Data Science
When the data is spewing garbage

🎥 Matthew Tyler, "Machine Learning Predictions in Regressions"
👁 1 раз ⏳ 3189 сек.
Matthew Tyler (Stanford University) presented a talk entitled "Machine Learning Predictions in Regressions" to the International Methods Colloquium on March 1, 2019.

​https://vk.com/video-17796776_456239282

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​Set Your Jupyter Notebook up Right with this Extension
A handy Jupyter Notebook extension to help you create more effective notebooks

🔗 Set Your Jupyter Notebook up Right with this Extension
A handy Jupyter Notebook extension to help you create more effective notebooks

🎥 Машинное обучение 3. Линейная классификация
👁 2 раз ⏳ 3957 сек.
Лекция от 26.02.2019

Лектор: Радослав Нейчев

Снимал: Михаил Кревский
Монтировал: Александр Васильев

Get started with using TensorFlow to solve for regression problems (Coding TensorFlow)

Наш телеграм канал - https://tele.click/ai_machinelearning_big_data

🎥 Get started with using TensorFlow to solve for regression problems (Coding TensorFlow)
👁 1 раз ⏳ 699 сек.
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 model, where you are looking for the model to solve for a single result. Learn how to get started on regression problems, and watch to see an example involving miles-per-gallon. This requires our model to examine and learn from the data we provide, in order to predict our final number. Subscribe to the TensorFlow

https://www.youtube.com/watch?v=-vHQub0NXI4

🎥 Introduction to Deep Learning Lecture 11
👁 1 раз ⏳ 5312 сек.

​Машинное обучение 3. Линейная классификация

🔗 Машинное обучение 3. Линейная классификация
Лекция от 26.02.2019 Лектор: Радослав Нейчев Снимал: Михаил Кревский Монтировал: Александр Васильев

Требуется: обучить сетку на голос - Левитана Юрия (голос "Говорит Москва....") https://teatr.audio/levitan-yuriy-govorit-moskva (биг дата голоса большая) и прикрутить синтезатор голоса. В теории ничего сложного https://habr.com/ru/company/speechpro/

Т.З.: Скармливаем на входе текст, на выходе получаем аудиозапись с его голосом.

Оплата: 200-300$

​Google AI's Take on How To Fix Peer Review

🔗 Google AI's Take on How To Fix Peer Review
📝 The paper "Avoiding a Tragedy of the Commons in the Peer Review Process" is available here: https://arxiv.org/abs/1901.06246 The NeurIPS experiment: http:/...

​Using Machine Learning to find Linux bugs

🔗 Using Machine Learning to find Linux bugs
Presentation name: Using Machine Learning to find Linux bugs Speaker: Stef Walter Description: I’d like to show you how to find bugs in Linux systems using m...