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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https://www.nature.com/news/physics-paper-sets-record-with-more-than-5-000-authors-1.17567

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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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Exploring Quantum Neural Networks

#NeuralNetworks #Quantum

https://bit.ly/2VLVqaP
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Deep Learning Basics

https://www.youtube.com/watch?v=O5xeyoRL95U

Slides:

https://www.dropbox.com/s/c0g3sc1shi63x3q/deep_learning_basics.pdf

Website: https://deeplearning.mit.edu/
GitHub repo with tutorials: https://github.com/lexfridman/mit-deep-learning


https://towardsdatascience.com/the-abcs-of-machine-learning-experts-who-are-driving-the-world-in-ai-2995a8115bea

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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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❇️ آموزش یادگیری ماشین با پایتون.
✅ Machine Learning From Scratch
🔗لینک:
github.com/eriklindernoren/ML-From-Scratch

#machineLearning #deepLearning #python

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Online book: Automate the Boring Stuff with Python.

Practical programming for total beginners.
https://automatetheboringstuff.com/
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Social Media Mining, an ebook.
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Conversational Bots
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Practical Artificial Intelligence
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http://bit.ly/mlindiapk

Here's the link to notes on chapter number 1 of 'Neural Networks and Their Applications'.

#1: Introduction to Neural Networks.
❤️

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Connectionist Temporal Classification – CTC
http://blog.class.vision/1397/10/connectionist-temporal-classificationctc/

#ctc
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#منبع #کورس

CS224n: Natural Language Processing with Deep Learning

#Stanford / Winter 2019

Public lecture videos: Once the course has completed, we plan to also make the videos publicly available on YouTube.

http://web.stanford.edu/class/cs224n/


This year, CS224n will be taught for the first time using PyTorch rather than TensorFlow

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پیاده سازی یک مساله multitask-learning با تنسورفلو

Multitask learning in TensorFlow with the Head API

بلاگ پست:
https://towardsdatascience.com/multitask-learning-in-tensorflow-with-the-head-api-68f2717019df

کد در کولب:
https://colab.research.google.com/drive/1NMB9lpi7P-GkkELkMU0h-yHtUq531D_Z
#آموزش #سورس_کد
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صدها نوع مدل یادگیری ماشین وجود دارد که از بیشتر آنها , اغلب بخاطر سادگی و دقت زیادی استفاده میشوند. حال منابعی بسیار مهم از این مدلها جهت یادگیری آنها پیشنهاد داده میشود.
1. Logistic Regression
https://lnkd.in/gJ2BwhD

2. Decision Trees
https://lnkd.in/gwadA-p

3. Random Forests
https://lnkd.in/gRYHcvt

4-5. Neural Networks (RNN and CNN)
https://lnkd.in/gZQhWyv

6. Bayesian Techniques
https://lnkd.in/gY3qVYP

7. Support Vector Machines
https://lnkd.in/gWJKRyn

8. XGBoost
https://lnkd.in/gv85yDV

9. Light GBM
https://lnkd.in/gTBUtN4

10. Catboost
https://lnkd.in/gFPzuTx

11 Greedy Boost
https://lnkd.in/ghG-giR

12. Elastic Net
https://lnkd.in/g-NMjPb

13. Vowpal Wabbit
https://lnkd.in/g2W9qbD

#منابع #آموزش #یادگیری_ماشین #الگوریتمها #پایتون #آمار #کلاس_آموزشی #آموزش_کلاسی


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منابع آموزشی برنامه نویسی پایتون برای تحلیل دیتا

1. From Excel to Pandas
https://lnkd.in/fnU5apw

2. Communication & Data Storytelling
https://lnkd.in/eqf5gUV

3. Data Manipulation with Python
https://lnkd.in/g4DFNpJ

4. Data Visualization with Python (Matplotlib/Seaborn):
https://lnkd.in/g_3fx_6

5. Advanced Pandas
https://lnkd.in/fZWGp9B

6. Tricks on Pandas by Real Python
https://lnkd.in/fXc9XSp

7. Becoming Efficient with Pandas
https://lnkd.in/f64hU-Y

8. Pandas Advances Tips
https://lnkd.in/fGyBc4c

9. Jupyter Notebook (Beginner)
https://lnkd.in/fTFinFi

10. Jupyter Notebook (Advanced)
https://lnkd.in/fFufePv

#منابع #آموزش #پایتون #python


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#webinar #datascience #machinelearning #learning
Data Leadership Wisdom & Insights Webcast: Kate Strachnyi

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#datascience #machinelearning #learning #R
https://www.rstudio.com/resources/videos/learning-r-with-rstudio-cloud/
یادگیری R با rstodio.cloud
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#datascience #machinelearning
https://www.analyticbridge.datasciencecentral.com/profiles/blogs/fraud-detection-in-retail-with-graph-analysis

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