Decision Making as a Random Walk
https://towardsdatascience.com/decision-making-as-a-random-walk-6ed37e154633?source=collection_home---4------0---------------------

​Automatically Generating Comments for Arbitrary Source Code

Automatically generating code comments directly from source code using an LSTM. Works with multiple languages. Can’t wait to JetBrains discovering it.

Link: https://www.twosixlabs.com/automatically-generating-comments-for-arbitrary-source-code/

#NLP #CS #coding #LSTM

🔗 Automatically Generating Comments for Arbitrary Source Code - Two Six Labs | Advanced Analytics, Cyber Capabilities, Tactical Mobility Solutions for National Security

​Papers with codes, which published in top conferences and sorted by stars. Read the paper and play with code. This repository is continuous progress and weekly update
https://github.com/zziz/pwc

🔗 zziz/pwc
Papers with code. Sorted by stars. Updated weekly. - zziz/pwc

🎥 15x4 - 15 минут про Искусственный Интеллект
👁 2994 раз ⏳ 1821 сек.
Обсуждение лекции - https://youtu.be/Pkx8xwcpG1U

"Что такое Искусственный Интеллект, каких он бывает видов, как устроен внутри? Будут ли у него чувства и эмоции, захватит ли он человечество или будет нам верным помощником?" Александр Гапак http://vk.com/alex_gapak

Слайды - https://goo.gl/jxhgmp

15х4 - это сообщество молодых ученых и фанатов науки.
Мы хотим, чтобы люди выступали и делились знаниями.

http://15x4.org
http://vk.com/15x4talks
http://twitter.com/15x4talks
http://facebook.com/15x4talks
http:/

6 Different Ways to Compensate for Missing Values In a Dataset (Data Imputation with examples)
https://towardsdatascience.com/6-different-ways-to-compensate-for-missing-values-data-imputation-with-examples-6022d9ca0779?source=collection_home---4------4---------------------

https://habr.com/post/435164/

Могут ли Big Data и ИИ разрешить глобальный кризис водных ресурсов?

#machinelearning #neuralnets #deeplearning #машинноеобучение

Наш телеграмм канал - https://t.me/ai_machinelearning_big_data

​Data Fucking Science - наш новый open-source проект из Европы. Просьба написать, что думаете об интерактивной карте для машинного обучения:
https://www.datafuckingscience.com/ml
(лучше заходить с компа). Всем большое спасибо!

🔗 DFS | Machine Learning

Multitask learning in TensorFlow with the Head API
https://towardsdatascience.com/multitask-learning-in-tensorflow-with-the-head-api-68f2717019df?source=collection_home---4------1---------------------

​Cyber Security Meets Deep Learning Ver 3.0

🔗 Cyber Security Meets Deep Learning Ver 3.0
Deep Learning meets Cyber security - presentation - ISC2 Albuquerque chapter (Unedited content) -2018 Please Click SUBSCRIBE button to keep you informed abou...

​A Deep Learning Model to Predict a Diagnosis of Alzheimer Disease by Using 18F-FDG PET of the Brain

Computer Vision can detect Alzheimer’s Disease in brain scans SIX YEARS before a diagnosis. Uses PET scans, which are common & cheaper. 82% specificity at 100% sensitivity. Can pick out signs hard to see with the naked eye.

Link: https://pubs.rsna.org/doi/10.1148/radiol.2018180958

#CV #DL #Alzheimer #medical

🔗 A Deep Learning Model to Predict a Diagnosis of Alzheimer Disease by Using 18F-FDG PET of the Brain | Radiology

#ai #pytorch #deeplearning
PyTorch CNN Weights - Learnable Parameters in Neural Networks

https://www.youtube.com/watch?v=stWU37L91Yc

🎥 PyTorch CNN Weights - Learnable Parameters in Neural Networks
👁 1 раз ⏳ 1431 сек.
In this post, we'll be exploring the inner workings of PyTorch, Introducing more OOP concepts, convolutional and linear layer weight tensors, matrix multiplication for deep learning and more!

Check out the corresponding blog and other resources for this video at:
http://deeplizard.com/learn/video/stWU37L91Yc

❤️🦎 Special thanks to the following polymaths of the deeplizard hivemind:
George Tohme

Support collective intelligence, and join the deeplizard hivemind:
http://deeplizard.com/hivemind

Code:
https:

​Multitask learning in TensorFlow with the Head API

🔗 Multitask learning in TensorFlow with the Head API – Towards Data Science

​Deep Learning With TensorFlow Videos
This Deep learning With Tensorflow videos playlist will help you to learn the basic concepts of Deep Learning, TensorFlow, the main functions, operations and the execution pipeline.

https://www.youtube.com/playlist?list=PL9ooVrP1hQOEX8BKDplfG86ky8s7Oxbzg

🔗 Deep Learning With TensorFlow Videos - YouTube
This Deep learning With Tensorflow videos playlist will help you to learn the basic concepts of Deep Learning, TensorFlow, the main functions, operations and...

ELMo: Contextual language embedding
https://towardsdatascience.com/elmo-contextual-language-embedding-335de2268604?source=collection_home---4------0---------------------

Machine Learning and the Mathematics Needed to Make a Computer Learn

🎥 Machine Learning and the Mathematics Needed to Make a Computer Learn
👁 1 раз ⏳ 994 сек.
Check out the Machine Learning Course on Coursera: https://click.linksynergy.com/deeplink?id=vFuLtrCrRW4&mid=40328&murl=https%3A%2F%2Fwww.coursera.org%2Flearn%2Fmachine-learning%3Futm_term%3Dmp_ml_nov18

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​Top 10 Must Free Resource for Data Science and Machine Learning

🔗 Top 10 Must Free Resource for Data Science and Machine Learning
Must Read Books to kick start in AI | Machine Learning | Data Science Resource Links : Machine Learning Yearning By Andrew Ng http://www.mlyearning.org/ Thin...

​How to Create an Equally, Linearly, and Exponentially Weighted Average of Neural Network Model Weights in Keras
https://machinelearningmastery.com/polyak-neural-network-model-weight-ensemble/

🔗 How to Create an Equally, Linearly, and Exponentially Weighted Average of Neural Network Model Weigh
The training process of neural networks is a challenging optimization process that can often fail to converge. This can mean that the model at the end of training may not be a stable or best-performing set of weights to use as a final model. One approach to address this problem is to use an average …

​A Brief Introduction to Computational NeuroScience Part 1

🔗 A Brief Introduction to Computational NeuroScience Part 1
The Human Brain Intuition and Modelling

Deep Learning for NLP: PyTorch vs Tensorflow – Elvis Saravia – PyCon

🎥 Deep Learning for NLP: PyTorch vs Tensorflow – Elvis Saravia – PyCon Taiwan 2018
👁 1 раз ⏳ 3118 сек.
Day 2, R0 11:15–12:00

In this talk, I will discuss some of the best practices and latest trends in natural language processing (NLP) research. The main goal is to provide a comprehensive comparison between machine learning frameworks (PyTorch and Tensorflow) when used for NLP-related tasks, such as sentiment analysis and emotion recognition from textual data. I will cover how to program and train widely-used algorithms, such as neural word embeddings and long short-term memory (LSTM) networks, for sentence

​My First Adventures in NLP

https://towardsdatascience.com/my-first-adventures-in-nlp-631faa6aadd4?source=collection_home---4------0---------------------

🔗 My First Adventures in NLP – Towards Data Science
Exploring sentiment analysis as a “black box” and breaking it down to find insights.

​Remodelling machine learning: An AI that thinks like a scientist

🔗 Remodelling machine learning: An AI that thinks like a scientist
Modern machine learning is great for helping scientists sort through huge, unwieldy data sets. But it’s less useful for things that require inference or reas...