​Top 10 IPython Notebook Tutorials for Data Science and Machine Learning

List mostly for beginners.

Link: https://www.kdnuggets.com/2016/04/top-10-ipython-nb-tutorials.html

#novice #beginner #ipython #jupyter

🔗 Top 10 IPython Notebook Tutorials for Data Science and Machine Learning

​How to Develop a Snapshot Ensemble Deep Learning Neural Network in Python With Keras

🔗 How to Develop a Snapshot Ensemble Deep Learning Neural Network in Python With Keras
Model ensembles can achieve lower generalization error than single models but are challenging to develop with deep learning neural networks given the computational cost of training each single model. An alternative is to train multiple model snapshots during a single training run and combine their predictions to make an ensemble prediction. A limitation of this …

​Finding the optimal dating strategy for 2018 with probability theory
How knowing some Statistical theory may make finding Mr. Right slightly easier?

https://towardsdatascience.com/probability-theory-and-the-optimal-dating-strategy-for-2018-2b75b26fb0b

🔗 Probability theory and the optimal dating strategy for 2018
How knowing some Statistical theory may make finding Mr. Right slightly easier?

🎥 AWS re:Invent 2018: Driving Machine Learning and Analytics Use Cases with AWS Storage (STG302)
👁 1 раз ⏳ 657 сек.
You’ve designed and built a well-architected data lake and ingested extreme amounts of structured and unstructured data. Now what? In this session, we explore real-world use cases where data scientists, developers, and researchers have discovered new and valuable ways to extract business insights using advanced analytics and machine learning. We review Amazon S3, Amazon Glacier, and Amazon EFS, the foundation for the analytics clusters and data engines. We also explore analytics tools and databases, includi

Creating voice assistant for games (tutorial for FIFA)
https://towardsdatascience.com/creating-voice-assistant-for-games-tutorial-for-fifa-71cfbe428bd1?source=collection_home---4------2---------------------

https://habr.com/post/434934/

Как масштабируется обучение искусственного интеллекта

#machinelearning #neuralnets #deeplearning #машинноеобучение

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

Uncertainty-aware Food Analysis by Deep Learning

🎥 Uncertainty-aware Food Analysis by Deep Learning
👁 1 раз ⏳ 2253 сек.
This Plenary speech was delivered by Prof. Petia Radeva (Autonomous University of Barcelona) during the first edition of Artificial Intelligence International Conference that was held in Barcelona on November 21-23 of 2018.

​Machine Learning in the age of increasing Data Privacy Consciousness - Sam Talasila

🔗 Machine Learning in the age of increasing Data Privacy Consciousness - Sam Talasila
PyData DC 2018 In the age of GDPR and its related lawsuits, the prevailing strategy of being indiscriminately “data greedy” to power opaque machine learning ...

​Building a Machine Learning Enabled Bot in the Cloud - Jerry Hargrove

🔗 Building a Machine Learning Enabled Bot in the Cloud - Jerry Hargrove
PyData DC 2018 During this tutorial, we’ll build a serverless Slack bot to help identify & classify aircraft images using Machine Learning services on AWS. T...

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