#Data_Mining
#Recommender_System

🔴The Application of Data-Mining to Recommender Systems
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@autonomousvehicle

#Data_Mining
#Recommender_System

🔴Data Mining Methods for Recommender Systems
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@autonomousvehicle

#Machine_Learning
#Cheat_Sheet

💥Machine learning algorithm cheat sheet
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@autonomousvehicle

#Machine_Learning
#Cheat_Sheet

💥Machine learning algorithm cheat sheet, Classical Equations, Diagrams and Tricks
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@autonomousvehicle

#Deep_Learning_for_Medical #Image #Processing:Overview, Challenges and Future
#paper
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#Deep_Learning_in_Bioinformatics
#paper
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#Intention_based_Information_Retrieval
of_Electronic_Healt_Records
#paper
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#a_fast, unsupervised approach
for medical concept extraction

#paper
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#Towards a Multi-agent System for Medical Records Processing and
Knowledge Discovery
#paper
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#advance_in_computational_intelligence
#paper
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#Learning_Love Data Science
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#Python_for_Data_Analysis
#book
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#Artificial Intelligence A Modern Approach
#book
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#python_power
#book
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https://instagram-engineering.com/lessons-learned-at-instagram-stories-and-feed-machine-learning-54f3aaa09e56
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https://towardsdatascience.com/10-data-science-tools-i-explored-in-2018-d8226f99f342
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❄️ Welcome to "The GAN Zoo"
https://github.com/hindupuravinash/the-gan-zoo
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#resources
https://www.analyticsindiamag.com/the-best-resources-for-learning-deep-learning-for-beginners
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پنج الگوريتم خوشه بندي كه هر ديتاساينتيست بايد بداند
https://towardsdatascience.com/the-5-clustering-algorithms-data-scientists-need-to-know-a36d136ef68
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This is a passenger drone of the future.
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Top 10 #deeplearning research papers as per this website
https://lnkd.in/dPYayt9

Of course the choice remains biased but we do like these besides a few hundred other papers.

Remember, it is not the popular but the meaningful and industry relevant research that is worth paying attention to.

Here's the list:

1. Universal Language Model Fine-tuning for Text Classification
https://lnkd.in/dhj5SyM

2. Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
https://lnkd.in/d44kt3Q

3. Deep Contextualized Word Representations
https://lnkd.in/dkP68Fb

4. An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
https://lnkd.in/dAhYzge

5. Delayed Impact of Fair Machine Learning
https://lnkd.in/dvTvG2s

6. World Models

7. Taskonomy: Disentangling Task Transfer Learning
https://lnkd.in/dYxMjAd

8. Know What You Don’t Know: Unanswerable Questions for SQuAD
https://lnkd.in/d--grME

9. Large Scale GAN Training for High Fidelity Natural Image Synthesis
https://lnkd.in/dY6psf4

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://lnkd.in/dgtnD7n
#machinelearning #research #deeplearning #artificialintelligence

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