Merge branch 'master' of https://github.com/dohahelmy/resources-intel…

…-edge-ai-scholarship-2020

Artificial_Intelligence.md

@@ -20,6 +20,7 @@
 * 75 Insightful Facts About Artificial Intelligence https://valuer.ai/blog/75-facts-about-artificial-intelligence/?amp
 * Secure and Private AI Writing Challenge https://medium.com/secure-and-private-ai-writing-challenge
 * What Is The Artificial Intelligence Of Things? When AI Meets IoT https://www.forbes.com/sites/bernardmarr/2019/12/20/what-is-the-artificial-intelligence-of-things-when-ai-meets-iot
+* From cloud to the edge: On-device artificial intelligence boosts performance https://www.technologyreview.com/s/613527/from-cloud-to-the-edge-on-device-artificial-intelligence-boosts-performance/
 
 ## Books/Papers
 * Hands-On Artificial Intelligence for IoT https://www.packtpub.com/big-data-and-business-intelligence/hands-artificial-intelligence-iot
@@ -55,6 +56,8 @@
 * How to Learn AI Programming from Scratch https://howtocreateapps.com/learn-ai-programming/
 * Benchmarking Edge Computing https://link.medium.com/FSz0IWNwz2
 * Artificial Intelligence Without Tears https://rubikscode.net/
+* Some Use cases for AI on the Edge https://www.st.com/content/st_com/en/about/innovation---technology/image-analytics.html
+* Hot Chips 31 Live Blogs: Habana's Approach to AI Scaling https://www.anandtech.com/show/14760/hot-chips-31-live-blogs-habanas-approach-to-ai-scaling
 
 ## Videos
 * What is Artificial Intelligence? In 5 minutes https://www.youtube.com/watch?v=2ePf9rue1Ao
@@ -65,3 +68,6 @@
 * Artificial Intelligence Full Course | Artificial Intelligence Tutorial for Beginners | Edureka **4+ hours** https://www.youtube.com/watch?v=JMUxmLyrhSk
 * Artificial Intelligence Tutorial | Artificial Intelligence Course | Intellipaat **5+ hours** https://www.youtube.com/watch?v=W7N6LPp0SmY&feature=youtu.be
 * AI Show https://channel9.msdn.com/Shows/AI-Show
+* AI debate https://www.facebook.com/MontrealAI/videos/498403850881660/
+    - pre-readings https://t.co/byvhZtpflT?amp=1
+* This Canadian Genius Created Modern AI https://www.youtube.com/watch?v=l9RWTMNnvi4&feature=youtu.be

Computer_Vision.md

@@ -29,6 +29,11 @@
 * 8 Books for Getting Started With Computer Vision https://machinelearningmastery.com/computer-vision-books/
 * OpenCV-Python Tutorials Documentation https://readthedocs.org/projects/opencv-python-tutroals/downloads/pdf/latest/
 * Computer Vision:  Models, Learning, and Inference http://www.computervisionmodels.com/
+* Practical Computer Vision Applications Using Deep Learning with CNNs: With Detailed Examples https://www.pdfdrive.com/practical-computer-vision-applications-using-deep-learning-with-cnns-with-detailed-examples-in-python-using-tensorflow-and-kivy-e185770768.html
+* Computer and Machine Vision: Theory, Algorithms, Practicalities https://www.pdfdrive.com/computer-and-machine-vision-theory-algorithms-practicalities-e31294228.html
+* Joint Face Super-Resolution and Deblurring Using a Generative Adversarial Network https://www.profillic.com/paper/arxiv:1912.10427?fbclid=IwAR1FxRu9rIS5JZjULTNTKcKkn0tnBGf4ndyk0rKZthavvoWJN_kXWS1x_WI
+* Advanced Topics in Computer Vision http://www.allitebooks.in/advanced-topics-in-computer-vision/
+* Pro Processing for Images and Computer Vision with OpenCV http://www.allitebooks.in/pro-processing-images-computer-vision-opencv/
 
 ## Course/tutorials
 * OpenCV Tutorial: A Guide to Learn OpenCV https://www.pyimagesearch.com/2018/07/19/opencv-tutorial-a-guide-to-learn-opencv/
@@ -56,6 +61,8 @@
 * Chapter 7: Image Processing https://quizlet.com/252140712/chapter-7-image-processing-flash-cards/
 * OpenCV (Official website)  https://opencv.org/
 * Awesome Computer Vision https://github.com/jbhuang0604/awesome-computer-vision#readme
+* Building a Raspberry Pi security camera with OpenCV https://www.pyimagesearch.com/2019/03/25/building-a-raspberry-pi-security-camera-with-opencv/
+* Computer Vision for tracking https://towardsdatascience.com/computer-vision-for-tracking-8220759eee85
 
 ## Videos
 * How Computer Vision Works https://www.youtube.com/watch?v=OcycT1Jwsns

Data_Science.md

@@ -2,6 +2,12 @@
 
 
 * Convert PyTorch model to ONNX format (blog) https://michhar.github.io/convert-pytorch-onnx/
+* Top 100 Data science interview questions http://nitin-panwar.github.io/Top-100-Data-science-interview-questions/?utm_campaign=News&utm_medium=Community&utm_source=DataCamp.com
+* Data Science Cheatsheets https://github.com/abhat222/Data-Science--Cheat-Sheet
+* Practical Debugging for Data Science **Medium** https://towardsdatascience.com/practical-debugging-for-data-science-fd744c21f332
+
+
+* Amazon books https://www.amazon.com/s?rh=n%3A6361574011%2Cp_36%3A0-0%2Cp_20%3AEnglish&s=review-rank&lo=image&utm_medium=ios_app&utm_name=iossmf&utm_source=share
 
 
 ### Here's an ultimate data science starter kit:

Deep_Learning.md

@@ -51,6 +51,7 @@
 * Practical Deep Learning for Coders, v3 https://course.fast.ai/
 * Introduction to Deep Learning with OpenCV https://www.linkedin.com/learning/introduction-to-deep-learning-with-opencv?trk=share_android_course_learning
 * MIT Deep Learning https://deeplearning.mit.edu/
+* Dive into Deep Learning with 15 free online courses https://www.freecodecamp.org/news/dive-into-deep-learning-with-these-23-online-courses-bf247d289cc0/
 
 ## Links/URLs
 * Deep Learning Glossary by Nvidia [Deep Learning Glossary by Nvidia](books/Deep_Learning_Glossary_by_Nvidia.pdf)
@@ -64,6 +65,7 @@
     - Transfer learning from pre-trained models **Medium** https://towardsdatascience.com/transfer-learning-from-pre-trained-models-f2393f124751
 * DeepAI  Definitions https://deepai.org/definitions
 * Notes from Coursera Deep Learning courses by Andrew Ng https://www.slideshare.net/TessFerrandez/notes-from-coursera-deep-learning-courses-by-andrew-ng
+* Deep Learning for Vision Systems http://www.computervisionbook.com/?fbclid=IwAR3op1e43UGm-v79lDuuyBj7-4RZUeu0FsGnzhKfx8ctKzPa1ZjEeo3fj_c
 
 ## Videos
 * But what is a Neural Network? | Deep learning, chapter 1 https://www.youtube.com/watch?v=aircAruvnKk&t=2s
@@ -73,3 +75,4 @@
 * CS230: Deep Learning | Autumn 2018 **Playlist** https://www.youtube.com/playlist?list=PLoROMvodv4rOABXSygHTsbvUz4G_YQhOb
 * Jeff Heaton **Channel** https://www.youtube.com/channel/UCR1-GEpyOPzT2AO4D_eifdw
 * Machine Learning & Deep Learning Specialization with Python, Scikit-Learn and TensforFlow **Playlist** https://www.youtube.com/playlist?list=PLFhNzVKP1pVrNU8cTL_t-8YzPLF8i8PaS
+* Heroes of Deep Learning: Andrew Ng interviews Geoffrey Hinton https://www.youtube.com/watch?v=-eyhCTvrEtE&feature=youtu.be

Machine_Learning.md

@@ -22,6 +22,7 @@
 * Types of classification algorithms in Machine Learning **Medium** https://medium.com/@Mandysidana/machine-learning-types-of-classification-9497bd4f2e14
 * How to build AutoML from scratch **Medium** https://medium.com/@alxmamaev/how-to-build-automl-from-scratch-ce45a4b51e0f
 * Bias in Machine Learning: How Facial Recognition Models Show Signs of Racism, Sexism and Ageism **Medium** https://towardsdatascience.com/bias-in-machine-learning-how-facial-recognition-models-show-signs-of-racism-sexism-and-ageism-32549e2c972d
+* Why Data Normalization is necessary for Machine Learning models **Medium** https://medium.com/@urvashilluniya/why-data-normalization-is-necessary-for-machine-learning-models-681b65a05029
 
 ## Books/Papers
 * Papers with code https://paperswithcode.com/
@@ -37,8 +38,11 @@
 * Machine Learning as a Decision Aid for Breast Cancer Diagnosis https://iarjset.com/papers/machine-learning-as-a-decision-aid-for-breast-cancer-diagnosis/
 * Machine Learning For Dummies https://www.wiley.com/en-eg/Machine+Learning+For+Dummies-p-9781119245513
 * The book to start you on Machine Learning **Medium** https://towardsdatascience.com/the-book-to-really-start-you-on-machine-learning-47632059fd0e
+* Data Science and Machine Learning Posts 2019 [file](books/Data_Science_and_Machine_Learning_Posts_2019.pdf)
+* Hands-On Machine Learning with Scikit-Learn and TensorFlow https://www.oreilly.com/library/view/hands-on-machine-learning/9781491962282/
 * Latest papers on machine learning https://arxiv.org/list/cs.LG/recent
 
+
 ## Course/tutorials
 * * Introduction to Data Analytics by IIT Madras https://nptel.ac.in/courses/110/106/110106064/
 * Machine Learning Crash Course **Google Developers** https://developers.google.com/machine-learning/crash-course
@@ -68,6 +72,10 @@
 * TPOT is a Python Automated Machine Learning tool https://epistasislab.github.io/tpot/
 * Machine Learning Questions https://ztlevi.github.io/Gitbook_Machine_Learning_Questions/
 * 100-Days-Of-ML-Code https://github.com/Avik-Jain/100-Days-Of-ML-Code
+* Machine Learning for Everyone https://vas3k.com/blog/machine_learning/
+* Top 40 Machine Learning Blogs & Websites To Follow in 2019 https://blog.feedspot.com/machine_learning_blogs/
+* Normalization https://developers.google.com/machine-learning/data-prep/transform/normalization
+* How to Learn Machine Learning https://elitedatascience.com/learn-machine-learning
 
 ## Videos
 * Machine Learning - CS50 Podcast, Ep. 6 https://www.youtube.com/watch?v=mEdIQbOL8dY
@@ -79,3 +87,4 @@
 * Machine Learning with Python **Playlist** https://www.youtube.com/playlist?list=PLQVvvaa0QuDfKTOs3Keq_kaG2P55YRn5v
 * CS480/680 Intro to Machine Learning - Spring 2019 - University of Waterloo **Playlist** https://www.youtube.com/playlist?list=PLdAoL1zKcqTW-uzoSVBNEecKHsnug_M0k
 * Large Scale Machine Learning https://www.youtube.com/watch?v=zqMnvgccibs
+* Normalizing Inputs (C2W1L09) https://www.youtube.com/watch?v=FDCfw-YqWTE&feature=youtu.be

Natural_language_processing.md

@@ -10,6 +10,7 @@
 ---
 
 ## Articles
+* A list of beginner-friendly NLP projects—using pre-trained models **Medium** https://towardsdatascience.com/a-list-of-beginner-friendly-nlp-projects-using-pre-trained-models-dc4768b4bec0
 
 ## Books/Papers
 * Papers and Book to look at when starting NLP https://github.com/newhiwoong/NLP-Papers
@@ -29,6 +30,7 @@
 * A Visual Guide to Using BERT for the First Time http://jalammar.github.io/a-visual-guide-to-using-bert-for-the-first-time/
 * A Deep Dive into NLP with PyTorch https://github.com/scoutbee/pytorch-nlp-notebooks
     - slides: https://docs.google.com/presentation/d/1zyuwCx7knqnP-LJswlDfWSmk5FhFgFmYJGqdEZn8yhc/edit#slide=id.g33c734b530_0_656
+* TOP NLP RESEARCH PAPERS WITH BUSINESS APPLICATIONS FROM ACL 2019 https://www.topbots.com/ai-nlp-research-papers-acl2019/
 
 ## Videos
 * fast.ai Code-First Intro to Natural Language Processing **Playlist** https://www.youtube.com/playlist?list=PLtmWHNX-gukKocXQOkQjuVxglSDYWsSh9

Others.md

@@ -39,6 +39,8 @@
     - Full paper: https://arxiv.org/abs/1912.07875
 * MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications https://arxiv.org/pdf/1704.04861.pdf
 * A Beginner's Guide to Convolutional Neural Networks (CNNs) https://pathmind.com/wiki/convolutional-network
+* CAUSALITY http://bayes.cs.ucla.edu/BOOK-2K/index.html
+* Wi-Fi 6 and Private LTE/5G Technology and Business Models in Industrial IoT [file](books/iot-5g-wp.pdf)
 
 ## Course/tutorials
 * CS231n: Convolutional Neural Networks for Visual Recognition http://cs231n.stanford.edu/
@@ -47,6 +49,9 @@
 * A Tutorial on Data Representation https://www3.ntu.edu.sg/home/ehchua/programming/java/datarepresentation.html
 * Image Filtering http://machinelearninguru.com/computer_vision/basics/convolution/image_convolution_1.html
 * Edge Analytics: IoT and Data Science https://www.linkedin.com/learning/edge-analytics-iot-and-data-science?trk=share_android_course_learning
+* Version Control with Git https://www.udacity.com/course/version-control-with-git--ud123
+* Building Arduino robots and devices https://www.coursera.org/learn/arduino
+* Enroll Now Free: An Intro to the Internet of Things https://www.netacad.com/virtual/Intro-to-iot-f?utm_source=facebook&utm_medium=link_ad&utm_campaign=eng_netacad_intro_iot
 
 ## Links/URLs
 * Shell scripting https://explainshell.com/
@@ -88,6 +93,9 @@
 * Practical_RL https://github.com/yandexdataschool/practical_rl
 * An introduction to Raspberry Pi 4 GPIO and controlling it with Node.js **Medium** https://itnext.io/an-introduction-to-raspberry-pi-4-gpio-and-controlling-it-with-node-js-10f2ce41af12
 * Introduction to Kaggle for Beginners in Machine Learning and Data Science! **Medium** https://medium.com/datadriveninvestor/introduction-to-kaggle-for-beginners-in-machine-learning-and-data-science-865199d7ead2
+* A guide to Edge IoT analytics https://www.ibm.com/blogs/internet-of-things/edge-iot-analytics/
+* Five components of IoT edge devices https://www.cisco.com/c/en/us/solutions/internet-of-things/iot-edge-devices.html
+* Free Code Camp https://www.freecodecamp.org/
 * Pytorch Scholarship resources https://airtable.com/shrwVC7gPOuTJkxW0/tblUf4zxlIMLjwrbv?blocks=hide
 
 ## Videos

Python.md

@@ -30,6 +30,9 @@
 * OpenCV 4.x Cheat Sheet [cv2cheatsheet](books/cv2cheatsheet.pdf)
 * Python cheatsheet [Python_cheatsheet](books/Python_cheatsheet.pdf)
 * Python For Data Science Cheat Sheet (Python Basics) [file](books/PythonForDataScience.pdf)
+* Python Notes For Professionals https://books.goalkicker.com/PythonBook/PythonNotesForProfessionals.pdf
+* Python Programming for Hackers and Reverse Engineers [books](books/Python_Programming_for_Hackers_and_Reverse_Engineers.pdf)
+* TensorFlow Tutorial [file](books/tensorflow_tutorial.pdf)
 
 ## Course/tutorials
 * WorldQuant University's Introduction to Data Science Module https://wqu.org/programs/data-science
@@ -70,6 +73,7 @@
 * numpy.reshape https://docs.scipy.org/doc/numpy/reference/generated/numpy.reshape.html
 * 25 Useful Python Snippets to Help in Your Day-to-Day Work **Medium** https://medium.com/better-programming/25-useful-python-snippets-to-help-in-your-day-to-day-work-d59c636ec1b
 * Recommended Python learning resources https://forums.fast.ai/t/recommended-python-learning-resources/26888
+* Ultimate guide for Data Exploration in Python using NumPy, Matplotlib and Pandas https://www.analyticsvidhya.com/blog/2015/04/comprehensive-guide-data-exploration-sas-using-python-numpy-scipy-matplotlib-pandas/?fbclid=IwAR14x0E9qxIFMeZPU6WAP52A6pFiTi_0zn6yoY7cRX94OSMIaGbqWUUCNOU
 
 ## Videos
 * Python 3.4 Programming Tutorials **Playlist** https://www.youtube.com/playlist?list=PL6gx4Cwl9DGAcbMi1sH6oAMk4JHw91mC_

README.md

@@ -24,12 +24,14 @@ https://blog.usejournal.com/real-examples-of-amazing-community-participation-8eb
 * My Experience in Getting an Internship Offer From Google **Medium**
 https://medium.com/@ahmadizzan/my-experience-in-getting-an-internship-offer-from-google-577a4c9fbfd9
 * Getting the Udacity Scholarships: The Breakthrough https://mc.ai/getting-the-udacity-scholarships-the-breakthrough/
+* Udacity Scholarships Challenge Phase: How to “Ace” the Community Participation Selection Criterion **Medium** https://blog.usejournal.com/ace-the-community-participation-selection-criterion-c4b1e0e7156e
+* How I got into Google!! **Medium** https://medium.com/@gourav.mittal/how-i-got-into-google-a7d92f581951
 ---
 
 ## OPPORTUNITIES
 the following are resources aims to help students to try challenges and get job Opportunities
 * Deepfake Detection Challenge https://www.kaggle.com/c/deepfake-detection-challenge
-* Take our skill-based assessment and get a job in AI https://workera.ai/candidates/
+* Take our skill-based assessment and get a job in AI https://www.workera.ai/candidates/
 
 **Are you looking for a REFERENCE job in Data Science/Machine Learning/Deep Learning?**
 * ML Fresher | Accentur India Private Limited - https://lnkd.in/f_ppiRS
@@ -95,6 +97,7 @@ the following are resources aims to help students to try challenges and get job
     - paper: https://www.biorxiv.org/content/10.1101/871848v1.full.pdf
     - Deepinsight : User-Friendly Deep Learning Tool to Decode Neural Activity in an Automated Way https://www.marktechpost.com/2019/12/20/deepinsight-user-friendly-deep-learning-tool-to-decode-neural-activity-in-an-automated-way/
 * 10 Python image manipulation tools. **Medium** https://link.medium.com/nhuNGJtTD2
+* The clear way to share complex information. https://coggle.it/recommend/5e012691ae8ae25f09ebdcde
 ---
 
 ## INFOGRAPHICS
@@ -124,3 +127,6 @@ the following are resources aims to help students to try challenges and get job
 
 * Computer vision processes difference
 ![image](/img/d.png)
+
+* AI Mindmap
+![image](/img/AI_mindmap.png)

Students notes/readme.md → Students notes/Stundents_notes_readme.md

@@ -27,6 +27,7 @@ The following one-line command will automatically download and extract the docum
 * [Deep_Learning&Neural_Networks](pptx_mariamH/Deep_Learning&Neural_Networks.pdf)
 * [Deep_Learning&Neural_Networks](pptx_mariamH/Deep_Learning&Neural_Networks.pptx)
 * [Deep_learning_with_keras(2)](pptx_mariamH/Deep_Learning_with_Keras.pptx)
+* [Udacity - Intel](pptx_mariamH/Udacity-Intel.pptx)
 
 
 ### Shared by @Deepanshu Arora
@@ -61,6 +62,7 @@ The following one-line command will automatically download and extract the docum
 
 ### Shared by @Praful
 * Notes for the course https://github.com/Praful932/Intel-Edge-AI-Foundation-Course
+ - https://github.com/Praful932/Intel-Edge-AI-Foundation-Course/blob/master/Leveraging%20Pre-Trained%20Models%20Part%202.pdf 
 
 ### Shared by @Venkatesh K H
 * Variability Notes [file](/Variability-Variance and_Standard_Deviation.pdf)