​Preserving Memory in Stationary Time Series
How Fractional Differencing preserves information in time series while satisfying the condition of stationarity for Predictive Modelling

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

https://towardsdatascience.com/preserving-memory-in-stationary-time-series-6842f7581800?source=collection_home---4------0---------------------

🔗 Preserving Memory in Stationary Time Series – Towards Data Science
How Fractional Differencing preserves information in time series while satisfying the condition of stationarity for Predictive Modelling

Нейронные сети

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Нейронные сети 1 Введение
Нейронные сети 2 Немного биологии
Нейронные сети 3 В целом об искусственной нейронной сети 1
Нейронные сети 4 Искусственный нейрон
Нейронные сети 5 Структура нейронной сети
Нейронные сети 6 Нюансы работы нейронной сети
Нейронные сети 7 Обучение сети
Нейронные сети 8 Технология обучения сети Часть 1
Нейронные сети 9 Технология обучения сети Часть 2
Нейронные сети 10 Работа одного нейрона

🎥 Нейронные сети 10 Работа одного нейрона
👁 3057 раз ⏳ 1003 сек.


🎥 Нейронные сети 9 Технология обучения сети Часть 2
👁 1418 раз ⏳ 905 сек.


🎥 Нейронные сети 8 Технология обучения сети Часть 1
👁 1186 раз ⏳ 1367 сек.


🎥 Нейронные сети 7 Обучение сети
👁 1205 раз ⏳ 1077 сек.


🎥 Нейронные сети 6 Нюансы работы нейронной сети
👁 1299 раз ⏳ 1396 сек.


🎥 Нейронные сети 5 Структура нейронной сети
👁 1644 раз ⏳ 905 сек.


🎥 Нейронные сети 4 Искусственный нейрон
👁 1921 раз ⏳ 601 сек.


🎥 Нейронные сети 2 Немного биологии
👁 2768 раз ⏳ 488 сек.


🎥 Нейронные сети 3 В целом об искусственной нейронной сети 1
👁 2618 раз ⏳ 535 сек.
Видео взято с https://www.youtube.com/channel/UC5dqkmvoovlmFsFZ3ACAVTw

🎥 Нейронные сети 1 Введение
👁 6187 раз ⏳ 509 сек.
Видео взято с канала https://www.youtube.com/channel/UC5dqkmvoovlmFsFZ3ACAVTw

🎥 A Gentle Introduction to Deep Learning - Singapore Python User Group
👁 5 раз ⏳ 3608 сек.
Speaker: Gabe Hollombe

Getting started with deep learning can feel really intimidating. In this session I'll dive right in to explaining the basic concepts of deep learning with barely any jargon and a small amount of arithmetic. We'll see how easy it is to take an existing pre-trained general-purpose image classification model from the cloud and re-train it to identify objects that we want the computer to recognize. I'll show how to do all of this with python, using a Jupyter notebook hosted from Amazon

​Machine Learning for Marketers
In this article, we will outline how marketers can leverage Artificial Intelligence & Machine Learning to fuel the growth for organizations

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

https://towardsdatascience.com/machine-learning-for-marketers-78bff070cbd6?source=collection_home---4------2---------------------

🔗 Machine Learning for Marketers – Towards Data Science
In this article, we will outline how marketers can leverage Artificial Intelligence & Machine Learning to fuel the growth for organizations

​One neural network, many uses
Build image search, image captioning, similar words and similar images using a single model

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

https://towardsdatascience.com/one-neural-network-many-uses-image-captioning-image-search-similar-image-and-words-in-one-model-1e22080ce73d?source=collection_home---4------0---------------------

🔗 One neural network, many uses – Towards Data Science
Build image search, image captioning, similar words and similar images using a single model

🎥 Build your Machine Learning Datasets with Amazon SageMaker Ground Truth - AWS Online Tech Talks
👁 1 раз ⏳ 2070 сек.
Successful machine learning models are built on the foundation of large volumes of high-quality training data. But, the process to create the training data necessary to build these models is often expensive, complicated, and time-consuming. Amazon SageMaker Ground Truth significantly reduces the time and effort required to create datasets for training. These savings are achieved by using machine learning to automatically label data, and the model is able to get progressively better over time by continuously

​Long-Range Robotic Navigation via Automated Reinforcement Learning

Наш телеграм канал - https://tele.click/ai_machinelearning_big_data
http://ai.googleblog.com/2019/02/long-range-robotic-navigation-via.html

🔗 Long-Range Robotic Navigation via Automated Reinforcement Learning

🎥 Introduction to Deep Learning Lecture 13
👁 1 раз ⏳ 4351 сек.

Machine Learning в электронной коммерции. Опыт индустриального применения

https://www.youtube.com/watch?v=lqRk3TWwoOY

🎥 Machine Learning в электронной коммерции. Опыт индустриального применения
👁 1 раз ⏳ 4191 сек.
Александр Сербул раскрывает тему для студентов МФТИ на открытом дне AI трека Физтех Акселератора.

PhA.vc/monsters

Подписывайтесь на нашу группу в Facebook и Телеграм канал, чтобы узнать о предстоящих событиях!

www.facebook.com/PhystechAccelerator
https://yangx.top/phystechaccelа

​Why Training a Neural Network Is Hard

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

https://machinelearningmastery.com/why-training-a-neural-network-is-hard/

🔗 Why Training a Neural Network Is Hard
Or, Why Stochastic Gradient Descent Is Used to Train Neural Networks. Fitting a neural network involves using a training dataset to update the model weights to create a good mapping of inputs to outputs. This training process is solved using an optimization algorithm that searches through a space of possible values for the neural network …

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

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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