Работа с Big Data в «МегаФон»
Директор по аналитике больших данных компании «МегаФон» рассказывает, как вырасти в профессионала в области big data и как именно работает с ними сотовый оператор.
https://www.youtube.com/watch?v=C6zSSWoOUOw«МегаФон»
Директор по аналитике больших данных компании «МегаФон» рассказывает, как вырасти в профессионала в области big data и как именно работает с ними сотовый оператор.
https://www.youtube.com/watch?v=C6zSSWoOUOw«МегаФон»
YouTube
МегаФон: как мы работаем с большими данными — OH, MY CODE #29
Директор по аналитике больших данных в «МегаФон» Виталий Щербаков рассказал о том, как происходит сбор и аналитика больших данных, как построить предсказательную модель поведения пользователей и как устроиться на работу в компанию. В конце ролика, по традиции…
Recurrent Neural Networks
Remembering what’s important
https://towardsdatascience.com/recurrent-neural-networks-d4642c9bc7ce
Remembering what’s important
https://towardsdatascience.com/recurrent-neural-networks-d4642c9bc7ce
Medium
Recurrent Neural Networks
Remembering what’s important
All the Steps to Build your first Image Classifier (with code)
From creating datasets to testing your program accuracy
https://medium.com/@artux51/all-the-steps-to-build-your-first-image-classifier-with-code-cf244b015799
From creating datasets to testing your program accuracy
https://medium.com/@artux51/all-the-steps-to-build-your-first-image-classifier-with-code-cf244b015799
Medium
All the Steps to Build your first Image Classifier (with code)
From creating datasets to testing your program accuracy
Probability Theory for Machine/Deep Learning
https://towardsdatascience.com/probability-theory-for-deep-learning-9551b9255cf0?source=collection_home---4------3---------------------
https://towardsdatascience.com/probability-theory-for-deep-learning-9551b9255cf0?source=collection_home---4------3---------------------
Medium
Probability Theory for Machine/Deep Learning
A very quick introduction to building a foundation in probability theory for understanding machine/deep learning
Как можно упростить и ускорить вычисление нейронной сети прямого распространения
https://habr.com/ru/hub/artificial_intelligence/
https://habr.com/ru/hub/artificial_intelligence/
Хабр
Искусственный интеллект — AI, ANN и иные формы искусственного разума / Хабр
Искусственный интеллект: как он есть и каким он должен быть.
По определению, к задачам искусственного интеллекта относятся все задачи, не имеющие точного алгоритмического решения.
Вот и давайте поговорим про нейронные сети, генетические алгоритмы, задачи…
По определению, к задачам искусственного интеллекта относятся все задачи, не имеющие точного алгоритмического решения.
Вот и давайте поговорим про нейронные сети, генетические алгоритмы, задачи…
A Gentle Introduction to Hypotheses in Machine Learning
What is a Hypothesis in Machine Learning?
https://machinelearningmastery.com/what-is-a-hypothesis-in-machine-learning/
What is a Hypothesis in Machine Learning?
https://machinelearningmastery.com/what-is-a-hypothesis-in-machine-learning/
Build your own Robust Deep Learning Environment in Minutes
A guide to the less desirable aspects of deep learning environment configurations
https://towardsdatascience.com/build-your-own-robust-deep-learning-environment-in-minutes-354cf140a5a6
A guide to the less desirable aspects of deep learning environment configurations
https://towardsdatascience.com/build-your-own-robust-deep-learning-environment-in-minutes-354cf140a5a6
Medium
Build your own Robust Deep Learning Environment in Minutes
A guide to the less desirable aspects of deep learning environment configurations
Machine-Learning-A-Probabilistic-Perspective.pdf
25.1 MB
Machine Learning A Probabilistic Perspective
Kevin P. Murphy
Kevin P. Murphy
Announcement: TensorFlow 2.0 Has Arrived!
Few months ago I mentioned some of the exciting new features that will be included in TensorFlow 2.0.
https://towardsdatascience.com/announcement-tensorflow-2-0-has-arrived-ee59283fd83a
Few months ago I mentioned some of the exciting new features that will be included in TensorFlow 2.0.
https://towardsdatascience.com/announcement-tensorflow-2-0-has-arrived-ee59283fd83a
Medium
Announcement: TensorFlow 2.0 Has Arrived!
Few months ago I mentioned some of the exciting new features that will be included in TensorFlow 2.0.
Exploring Neural Networks with Activation Atlases
http://ai.googleblog.com/2019/03/exploring-neural-networks.html
http://ai.googleblog.com/2019/03/exploring-neural-networks.html
Googleblog
Exploring Neural Networks with Activation Atlases
How to Demonstrate Your Basic Skills with #DeepLearning
https://machinelearningmastery.com/how-to-demonstrate-basic-deep-learning-competence/
https://machinelearningmastery.com/how-to-demonstrate-basic-deep-learning-competence/
Forwarded from Python/ django
How to get started with Python for Deep Learning and Data Science
A step-by-step guide to setting up Python for a complete beginner
https://medium.freecodecamp.org/how-to-get-started-with-python-for-deep-learning-and-data-science-3bed07f91a08
A step-by-step guide to setting up Python for a complete beginner
https://medium.freecodecamp.org/how-to-get-started-with-python-for-deep-learning-and-data-science-3bed07f91a08
freeCodeCamp.org
How to get started with Python for Deep Learning and Data Science
By Joseph Lee Wei En A step-by-step guide to setting up Python for a complete beginner You can code your own Data Science or Deep Learning project in just a couple of lines of code these days. This is not an exaggeration; many programmers out there ...
Google Open-Sources GPipe Library for Training Large-Scale Neural Network Models
https://medium.com/syncedreview/google-open-sources-gpipe-library-for-training-large-scale-neural-network-models-8b8ef324382c
https://medium.com/syncedreview/google-open-sources-gpipe-library-for-training-large-scale-neural-network-models-8b8ef324382c
Medium
Google Open-Sources GPipe Library for Training Large-Scale Neural Network Models
Deep neural network (DNN) models such as BigGAN, BERT, and GPT 2.0 have demonstrated that larger DNN models produce better task…
“Deep learning” about transcription factor-DNA binding
Using a convolutional neural network to measure transcription factor-DNA binding
https://towardsdatascience.com/deep-learning-about-transcription-factor-dna-binding-1d9753eabcc2
Using a convolutional neural network to measure transcription factor-DNA binding
https://towardsdatascience.com/deep-learning-about-transcription-factor-dna-binding-1d9753eabcc2
Medium
“Deep learning” about transcription factor-DNA binding
Using a convolutional neural network to measure transcription factor-DNA binding
NLP Learning Series: Part 3 - Attention, CNN and what not for Text Classification
https://mlwhiz.com/blog/2019/03/09/deeplearning_architectures_text_classification/
https://mlwhiz.com/blog/2019/03/09/deeplearning_architectures_text_classification/
Mlwhiz
NLP Learning Series: Part 3 - Attention, CNN and what not for Text Classification
This post is the third post of the NLP Text classification series.
How to Develop and Demonstrate Competence With Deep Learning for Computer Vision
https://machinelearningmastery.com/how-to-develop-and-demonstrate-competence-with-deep-learning-for-computer-vision/
https://machinelearningmastery.com/how-to-develop-and-demonstrate-competence-with-deep-learning-for-computer-vision/
Machine Learning Mastery
How to Develop Competence With Deep Learning for Computer Vision - Machine Learning Mastery
Computer vision is perhaps one area that has been most impacted by developments in deep learning.
It can be difficult to both develop and to demonstrate competence with deep learning for problems in the field of computer vision. It is not clear how to…
It can be difficult to both develop and to demonstrate competence with deep learning for problems in the field of computer vision. It is not clear how to…