Cutting Edge Deep Learning – Telegram
Cutting Edge Deep Learning
253 subscribers
193 photos
42 videos
51 files
363 links
📕 Deep learning
📗 Reinforcement learning
📘 Machine learning
📙 Papers - tools - tutorials

🔗 Other Social Media Handles:
https://linktr.ee/cedeeplearning
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#Marcos Lopez de Prado-Advances in Financial Machine Learning-Wiley
#2018 #book

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Practical Machine Learning – Sunila Gollapudi (en)
#book #middle #theory

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Applied Text Analysis with Python — B. Bengfort, R. Bilbro, T. Ojeda (en) 2016
#book #middle #python

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Applied Text Analysis with Python (en).pdf
2.5 MB
Applied Text Analysis with Python — B. Bengfort, R. Bilbro, T. Ojeda (en) 2016
#book #middle #python

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Machine Learning Refined — J. Watt, R. Borhani, A. K. Katsaggelos (en) 2016
#book #middle #theory

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Machine Learning Refined (en).pdf
10.9 MB
Machine Learning Refined — J. Watt, R. Borhani, A. K. Katsaggelos (en) 2016
#book #middle #theory

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مشخصات سیستم#deep
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ابزارهایی که برای #علم_داده باید دانست
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Superb Linux Bootcamp - Become Certified Linux Professional
Build your Career as Linux Professional

Student will be able to find a job
they will learn all Linux knowledge

Coupon Link
http://bit.ly/2SQUJv1

Dont forget to share our channel

📍Education That Matters📍
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• The Essential NLP Guide to Solve Top 10 Common NLP Tasks - https://bit.ly/2QCCgR1
• Practical Tutorial for Regular Expressions in #Python - https://bit.ly/2QBChVi
• A Gentle Introduction to #TopicModeling - https://bit.ly/2QCCh7x
• Comprehensive and Intuitive Guide to #WordEmbeddings - https://bit.ly/2VKR4Av
#TextClassification using ULMFiT and fastai Library in Python - https://bit.ly/2VHHEGa

And test your #NaturalLanguageProcessing knowledge on this challenging question set!

• 30 Questions to test a data scientist on Natural Language Processing - https://bit.ly/2jfGGyT

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❇️ چطوری مدل‌تون رو ارزیابی یا Validate کنید؟
در تصویر بالا روش Holdout و K-fold به صورت مصور توضیح داده شده.


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❇️ مجموعه 10 کورس رایگان در حوزه دیتاساینس و یادگیری ماشین

1️⃣ Machine Learning
(University of Washington)
2️⃣ Machine Learning
(University of Wisconsin-Madison)
3️⃣ Algorithms (in journalism)
(Columbia University )
4️⃣ Practical Deep Learning
(Yandex Data School)
5️⃣ Big Data in 30 Hours
(Krakow Technical University )
6️⃣ Deep Reinforcement Learning Bootcamp
(UC Berkeley(& others))
7️⃣ Introduction to Artificial intelligence
(University of Washington)
8️⃣ Brains, Minds and Machines Summer Course
(MIT)
9️⃣ Design and Analysis of Algorithms
(MIT)
🔟 Natural Language Processing
(University of Washington)
لینک:
https://goo.gl/Riybxs

#MachineLearning #DataScience #Course #DeepLearning #BigData #AI


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