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://yangx.top/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

Join Facebook Group: https://www.facebook.com/groups/majorprep/

Follow MajorPrep on Twitter: https://twitter.com/MajorPrep1

►Support the Channel
Patreon: https://patreon.com/majorprep
PayPal(one time donation): https://www.paypal.me/majorprep

►My Setup:
Space Pictures: https://amzn.to/2CC4Kqj
Camera: htt

​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...

​Running Effective Machine Learning Teams: Common Issues, Challenges & Solutions | DataCouncil NYC'18

🔗 Running Effective Machine Learning Teams: Common Issues, Challenges & Solutions | DataCouncil NYC'18
ABOUT THE TALK: Despite significant progress in the deep learning space, implementing scalable machine learning pipelines still presents critical challenges....

​TensorFlow high-level APIs: Part 3 - Building and refining your models

🔗 TensorFlow high-level APIs: Part 3 - Building and refining your models
Welcome to Part 3 of our mini-series on TensorFlow high-level APIs! In this 3 part mini-series, TensorFlow Engineering Manager Karmel Allison runs us through...

🎥 lec23 Deep Learning
👁 1 раз ⏳ 4463 сек.