​Машинное обучение доп главы 13.Рекомендательные системы − 2

🔗 Машинное обучение доп главы 13.Рекомендательные системы − 2
08.12.2018

у кого есть книга "прикладное машинное обучение с помощью scikit-learn и tensorflow"? поделитесь, пожалуйста

​🔗 TensorSpace.js
Home page of TensorSpace.js

Processing Time Series Data in Real-Time with InfluxDB and Structured Streaming
https://towardsdatascience.com/processing-time-series-data-in-real-time-with-influxdb-and-structured-streaming-d1864154cf8b?source=collection_home---4------0---------------------

What’s the fuss about Regularization?
https://towardsdatascience.com/whats-the-fuss-about-regularization-24a4a1eadb1?source=collection_home---4------2---------------------

​Jax is NumPy on CPU and GPU with automatic differentiation and JIT compilation.

Link: https://github.com/google/jax

🔗 google/jax
GPU- and TPU-backed NumPy with differentiation and JIT compilation. - google/jax

​Using Kubernetes to Offer Scalable Deep Learning on Alibaba Cloud - Kai Zhang & Yang Che, Alibaba

🔗 Using Kubernetes to Offer Scalable Deep Learning on Alibaba Cloud - Kai Zhang & Yang Che, Alibaba
Using Kubernetes to Offer Scalable Deep Learning on Alibaba Cloud - Kai Zhang & Yang Che, Alibaba Running deep learning (DL) jobs requires end to end workflo...

​Deep Learning: What is it good for? - Prof. Ankit Patel - Rice University

🔗 Deep Learning: What is it good for? - Prof. Ankit Patel - Rice University
"In this talk, we will introduce deep learning and review some of the key advances in the field focusing on current attempts at a theoretical understanding. ...

​MIT AI: Deep Reinforcement Learning (Pieter Abbeel)

🔗 MIT AI: Deep Reinforcement Learning (Pieter Abbeel)
Pieter Abbeel is a professor at UC Berkeley, director of the Berkeley Robot Learning Lab, and is one of the top researchers in the world working on how to ma...

​Physicists have discovered what makes neural networks so extraordinarily powerful

🔗 Physicists have discovered what makes neural networks so extraordinarily powerful
Nobody understands why deep neural networks are so good at solving complex problems. Now physicists say the secret is buried in the laws of physics.

​PyText

- PyText https://github.com/facebookresearch/pytext from Facebook:
- TLDR - FastText meets PyTorch;
- Very similar to AllenNLP in nature;
- Will be useful if you can afford to write modules for their framework to solve 100 identical tasks (i.e. like Facebook with 200 languages);
- In itself - seems to be too high maintenance to use;

I will not use use it.

#nlp
#deep_learning

🔗 facebookresearch/pytext
A natural language modeling framework based on PyTorch - facebookresearch/pytext

What Is Data Science? | Data Science Tutorial For Beginners | Data Science Using R | Edureka

🎥 What Is Data Science? | Data Science Tutorial For Beginners | Data Science Using R | Edureka

🎥 Прикладное машинное обучение в электронной коммерции. Александр Сербул (1С-Битрикс)
👁 1 раз ⏳ 3154 сек.

Deep Learning and Hyper-Personalization
https://towardsdatascience.com/deep-learning-and-hyper-personalization-e0d2b1fcb86?source=collection_home---4------0---------------------

https://habr.com/company/ods/blog/431512/

Небольшое исследование свойств простой U-net, классической сверточной сети для сегментации

#machinelearning #neuralnets #deeplearning #машинноеобучение

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

Deep Learning and Hyper-Personalization
https://towardsdatascience.com/deep-learning-and-hyper-personalization-e0d2b1fcb86?source=collection_home---4------1---------------------

​Deep Learning: What is it good for? - Prof. Ankit Patel - Rice University

🔗 Deep Learning: What is it good for? - Prof. Ankit Patel - Rice University
"In this talk, we will introduce deep learning and review some of the key advances in the field focusing on current attempts at a theoretical understanding. ...

​Analyzing model improvements - Deep Learning in Halite AI competition p.7

🔗 Analyzing model improvements - Deep Learning in Halite AI competition p.7
Analyzing our neural network model's improvement from random, and then considering our next steps. Channel membership: https://www.youtube.com/channel/UCfzlC...

​A Bag of Tricks for Image Classification

1. Large batch size
2. Mini model-tweaks
3. Refined Training Methods
4. Transfer Learning
5. Fancy Data Augmentation
https://link.medium.com/fzJvIBfsJS

#CV #tipsandtricks

🔗

🎥 Практическое занятие по профилю «Большие данные и машинное обучение» | Олег Ивченко
👁 1 раз ⏳ 6420 сек.

​[1812.06855] Bayesian Optimization in AlphaGo

🔗 [1812.06855] Bayesian Optimization in AlphaGo