10 Exciting Ideas of 2018 in NLP

A collection of 10 exciting and impactful ideas in 2018, by Sebastian Ruder: https://lnkd.in/ebb2Qix

#artificialinteligence #deeplearning #machinelearning #NLP #unsupervisedlearning


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🗣 @AI_Python_arXiv
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Deep Latent-Variable Models for Natural Language

Tutorial by Kim et al.: https://lnkd.in/eUHDAnP

#NLP #pytorch #unsupervisedlearning


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🗣 @AI_Python_arXiv

Unsupervised machine translation: A novel approach to provide fast, accurate translations for more languages

By Lample et al.

Paper: https://lnkd.in/d2eXdRS

Code: https://lnkd.in/d8Nk2nY

Blog: https://lnkd.in/d8hGtba

#deeplearning #machinelearning #unsupervisedlearning

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🗣 @AI_Python_Arxiv

Generalized Language Models

Blog by Lilian Weng: https://lnkd.in/eJPgKWm
Share us With Your Friend!
#artificalintelligence #NLP #unsupervisedlearning

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🗣 @AI_Python_arXiv
✴️ @AI_Python_EN

How comfortable are you working on #UnsupervisedLearning problems? Here are 5 comprehensive tutorials to help you learn this critical topic:

1. An Introduction to #Clustering and it's Different Methods - https://bit.ly/2Fwykil

2. Exploring Unsupervised #DeepLearning #Algorithms for #ComputerVision - https://bit.ly/2HPWV39

3. Introduction to Unsupervised Deep Learning (with #Python codes) - https://bit.ly/2HDkMUA

4. Essentials of
#MachineLearning Algorithms (with Python and R Codes) - https://bit.ly/2TQjJWW

5. An Alternative to Deep Learning? Guide to Hierarchical Temporal Memory (HTM) for Unsupervised Learning - https://bit.ly/2JzcyOR


✴️ @AI_Python_EN

CS294-158 Deep Unsupervised Learning

Ilya Sutskever guest lecture on GPT-2: https://lnkd.in/eNUSMTY

#DeepLearning #MachineLearning #UnsupervisedLearning

✴️ @AI_Python_EN

CS294-158 Deep Unsupervised Learning Spring 2019

About: This course will cover two areas of deep learning in which labeled data is not required: Deep Generative Models and Self-supervised Learning.

Instructors: Pieter Abbeel, Peter Chen, Jonathan Ho, Aravind Srinivas

CS294-158: https://lnkd.in/eq6ZKAn

#DeepLearning #GenerativeModels #UnsupervisedLearning

✴️ @AI_Python_EN

How comfortable are you working on #UnsupervisedLearning problems? Check out these 5 comprehensive tutorials to learn this critical topic:

1. An Introduction to #Clustering and it's Different Methods - https://lnkd.in/f2enbhy

2. Exploring Unsupervised #DeepLearning #Algorithms for #ComputerVision - https://lnkd.in/fSK7NNC

3. Introduction to Unsupervised Deep Learning (with #Python codes) - https://lnkd.in/fQT_cJ5

4. Essentials of #MachineLearning Algorithms (with Python and R Codes) - https://lnkd.in/fdEGhjf

5. An Alternative to Deep Learning? Guide to Hierarchical Temporal Memory (HTM) for Unsupervised Learning - https://lnkd.in/fFptJcG

✴️ @AI_Python_EN

Unsupervised Learning with Graph Neural Networks

video: http://www.ipam.ucla.edu/programs/workshops/workshop-iv-deep-geometric-learning-of-big-data-and-applications/?tab=schedule

guide: http://helper.ipam.ucla.edu/publications/glws4/glws4_15546.pdf

#ArtificialIntelligence #UnsupervisedLearning

✴️ @AI_Python_EN

💡💡 K-means Clustering – In-depth Tutorial with Example 💡💡

Credits - Data Flair

Link - https://lnkd.in/eCQUriR

#machineleaning #supervisedlearning #unsupervisedlearning #datascience #data #ai # #technology #deeplearning #artificalintelligence

✴️ @AI_Python_EN

"The next revolution of AI won’t be supervised." — Yann LeCun

#ArtificialIntelligence #SemiSupervisedLearning #UnsupervisedLearning

❇️ @AI_Python_EN