StarAi: FREE Deep Reinforcement Learning Course
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@Machine_learn



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https://www.starai.io/course/

Alternatives to Kaggle/other sites for machine learning & competitions.
Kaggle is the best, but there are a few alternatives:
https://challenger.ai
https://www.crowdai.org
https://www.drivendata.org
https://www.kdd.org
https://codalab.org/
https://www.crowdanalytix.co
https://www.datasciencechallenge.org
https://www.analyticsvidhya.com
https://www.topcoder.com
https://www.kesci.com
https://www.datafountain.cn
https://grand-challenge.org
https://signate.jp
https://www.dcjingsai.com
https://www.innocentive.com
#engineeringML

A great VIM tutorial:
https://www.systutorials.com/240159/vim-tutorial-beginners-vimtutor/

The Thousand Brains Theory: A Framework for Understanding the Neocortex and Building Intelligent Machines
https://www.youtube.com/watch?v=5LFo36g4Lug
#neuroscience #AI #numenta

طبقه بندی متن با استفاده از Flair

Flair delivers state-of-the-art performance in solving NLP problems such as named entity recognition (NER), part-of-speech tagging (PoS), sense disambiguation and text classification. It’s an NLP framework built on top of PyTorch.

لینک پست: https://towardsdatascience.com/text-classification-with-state-of-the-art-nlp-library-flair-b541d7add21f
کد: https://github.com/zalandoresearch/flair

#text_classification #nlp #flair

❇️ New fast.ai course about NLP
💠 https://www.fast.ai/2019/07/08/fastai-nlp

https://www.youtube.com/watch?v=Tyz1jRfyWgY
#ReinforcementLearning #Control #Robotics

🔻چهارمین دورهمی مدرسه جهانی هوش مصنوعی در رشت
🔺School of AI

📘موضوع این جلسه: مسائل و الگوریتم های بهینه سازی
🗓دوشنبه 31 تیر 1398
🕐ساعت 9:30 الی 11:30
🏢 دانشکده ی علوم پایه، سالن امتحانات

*جهت ثبت نام به لینک زیر مراجعه کنید:
▪️https://evnd.co/4bvfP

برای کسب اطلاعات بیشتر درباره ی این مدرسه، به کانال زیر مراجعه کنید:
🏢 @schoolofairasht

✅ @Brainandcognition_GU

Introduction to computational thinking and Data Science by MIT
https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-0002-introduction-to-computational-thinking-and-data-science-fall-2016/lecture-videos/

https://www.youtube.com/watch?v=cQ48rP_Rs4g&t=1362s
A great talk about AI-related companies; Silicon Valley and China approach to solving real-world problems and developing apps; and a lot of other exciting topics which are related to technology and AI.

A curated list of automated machine learning papers, articles, tutorials, slides and projects
https://github.com/hibayesian/awesome-automl-papers

Curating a list of AutoML-related research, tools, projects and other resources
https://github.com/windmaple/awesome-AutoML

Understanding Capsule Networks:

Part I:
https://pechyonkin.me/capsules-1/

Part II:
https://pechyonkin.me/capsules-2/

Part III:
https://pechyonkin.me/capsules-3/

Part IV:
https://pechyonkin.me/capsules-4/

☝️با توجه به اینکه گیت هاب داره حساب‌های ایرانی‌ها را بدون اخطار قبلی می‌بنده، توصیه می‌کنیم ریپازیتوری‌هاتون را دانلود کنید.
👈ریپو زیر هم لطفا استار کنید و دست به دست کنید. اگر هفتاد تا استار توی یه روز بخوره ترند می‌شه و دیده می‌شه و صدامون به یه جایی می‌رسه.

🔹https://github.com/1995parham/github-do-not-ban-us

#Github
🔹ارسالی از کاربر
〰️〰️〰️〰️〰️〰️
@programming_tips

Cyclical Learning Rates with Keras and Deep Learning

Using Cyclical Learning Rates you can dramatically reduce the number of experiments required to tune and find an optimal learning rate for your model.

Reference: https://www.pyimagesearch.com/2019/07/29/cyclical-learning-rates-with-keras-and-deep-learning/
#cyclical_learning_rates #lr #learning_rate

The little book of Python anti-patterns.

#book #tutorial #python
@thedevs

https://kutt.it/ajHCsL