diff --git a/Artificial_Intelligence.md b/Artificial_Intelligence.md index ea989fc..2050b62 100644 --- a/Artificial_Intelligence.md +++ b/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 diff --git a/Computer_Vision.md b/Computer_Vision.md index 8f30d20..d2a6285 100644 --- a/Computer_Vision.md +++ b/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 diff --git a/Data_Science.md b/Data_Science.md index f7e0fb6..e231bb7 100644 --- a/Data_Science.md +++ b/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: diff --git a/Deep_Learning.md b/Deep_Learning.md index 500dd96..a02bd94 100644 --- a/Deep_Learning.md +++ b/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 diff --git a/Machine_Learning.md b/Machine_Learning.md index d715e7c..a25d124 100644 --- a/Machine_Learning.md +++ b/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 diff --git a/Natural_language_processing.md b/Natural_language_processing.md index 525ba2a..a326efd 100644 --- a/Natural_language_processing.md +++ b/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 diff --git a/Others.md b/Others.md index 4096792..ee766f4 100644 --- a/Others.md +++ b/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 diff --git a/Python.md b/Python.md index 62ff4f6..0d65694 100644 --- a/Python.md +++ b/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_ diff --git a/README.md b/README.md index 9fe152d..7fd38c9 100644 --- a/README.md +++ b/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) diff --git a/Students notes/readme.md b/Students notes/Stundents_notes_readme.md similarity index 95% rename from Students notes/readme.md rename to Students notes/Stundents_notes_readme.md index e39a559..4a4c101 100644 --- a/Students notes/readme.md +++ b/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) diff --git a/Students notes/pptx_mariamH/Udacity-Intel.pptx b/Students notes/pptx_mariamH/Udacity-Intel.pptx new file mode 100644 index 0000000..3a16d40 Binary files /dev/null and b/Students notes/pptx_mariamH/Udacity-Intel.pptx differ diff --git a/books/Data_Science_and_Machine_Learning_Posts_2019.pdf b/books/Data_Science_and_Machine_Learning_Posts_2019.pdf new file mode 100644 index 0000000..5ef6b33 Binary files /dev/null and b/books/Data_Science_and_Machine_Learning_Posts_2019.pdf differ diff --git a/books/PythonNotesForProfessionals.pdf b/books/PythonNotesForProfessionals.pdf new file mode 100644 index 0000000..e93dee2 Binary files /dev/null and b/books/PythonNotesForProfessionals.pdf differ diff --git a/books/Python_Programming_for_Hackers_and_Reverse_Engineers.pdf b/books/Python_Programming_for_Hackers_and_Reverse_Engineers.pdf new file mode 100644 index 0000000..1d1fc02 Binary files /dev/null and b/books/Python_Programming_for_Hackers_and_Reverse_Engineers.pdf differ diff --git a/books/iot-5g-wp.pdf b/books/iot-5g-wp.pdf new file mode 100644 index 0000000..498edb8 Binary files /dev/null and b/books/iot-5g-wp.pdf differ diff --git a/books/tensorflow_tutorial.pdf b/books/tensorflow_tutorial.pdf new file mode 100644 index 0000000..05c4f3c Binary files /dev/null and b/books/tensorflow_tutorial.pdf differ diff --git a/img/AI_mindmap.png b/img/AI_mindmap.png new file mode 100644 index 0000000..0d1b1e5 Binary files /dev/null and b/img/AI_mindmap.png differ