##Categories:
- 37 Important Linux Commands You Should Know https://www.howtogeek.com/412055/37-important-linux-commands-you-should-know/
- SSD object detection: Single Shot MultiBox Detector for real-time processing Medium https://medium.com/@jonathan_hui/ssd-object-detection-single-shot-multibox-detector-for-real-time-processing-9bd8deac0e06
- Image Classification vs. Object Detection vs. Image Segmentation Medium https://medium.com/analytics-vidhya/image-classification-vs-object-detection-vs-image-segmentation-f36db85fe81
- Memorizing is not learning! — 6 tricks to prevent overfitting in machine learning. https://hackernoon.com/memorizing-is-not-learning-6-tricks-to-prevent-overfitting-in-machine-learning-820b091dc42
- Introducing AIY Vision Kit: Make devices that see https://www.blog.google/topics/machine-learning/introducing-aiy-vision-kit-make-devices-see/
- Automation Testing with Pytest Medium https://medium.com/tenable-techblog/automation-testing-with-pytest-444c8b34ead2
- Russian language: https://habr.com/ru/company/otus/blog/480186/
- Image convolution examples http://aishack.in/tutorials/image-convolution-examples/
- Top 20 Websites for Machine Learning and Data Science in 2020 Medium https://medium.com/swlh/top-20-websites-for-machine-learning-and-data-science-d0b113130068
- Use Kaggle to start (and guide) your ML/ Data Science journey — Why and How Medium https://towardsdatascience.com/use-kaggle-to-start-and-guide-your-ml-data-science-journey-f09154baba35
- The Benefits and Potential of Edge Computing https://www.vxchnge.com/blog/the-5-best-benefits-of-edge-computing
- 2020 Predictions For AI, DL, And ML https://www.forbes.com/sites/evansparks/2019/12/19/2020-predictions-for-ai-dl-and-ml/
- Generative Adversarial Networks (GANs) for Beginners: Generating Images of Distracted Drivers Medium https://towardsdatascience.com/generative-adversarial-networks-gans-for-beginners-82f26753335e
- ALBERT: A Lite BERT for Self-Supervised Learning of Language Representations https://ai.googleblog.com/2019/12/albert-lite-bert-for-self-supervised.html
- Twelve Million Phones, One Dataset, Zero Privacy https://www.nytimes.com/interactive/2019/12/19/opinion/location-tracking-cell-phone.html
- Five things we learned at Oslo’s innovation festival https://apolitical.co/solution_article/five-things-we-learned-at-oslos-innovation-festival/
- 20 Data Trends for 2020 https://storybydata.com/datacated-weekly/20-data-trends-for-2020/
- Give Me Jeans not Shoes: How BERT Helps Us Deliver What Clients Want https://multithreaded.stitchfix.com/blog/2019/07/15/give-me-jeans/
- Edge Computing — The New Frontier of the Web Medium https://link.medium.com/106uvj1pQ2
- Flawed Algorithms Are Grading Millions of Students’ Essays https://www.vice.com/amp/en_us/article/pa7dj9/flawed-algorithms-are-grading-millions-of-students-essays
- Here Are the Five Blockchain Projects to Keep an Eye on in 2020 https://beincrypto.com/here-are-five-blockchain-projects-to-keep-an-eye-on-2020/
- CNN Architectures: LeNet, AlexNet, VGG, GoogLeNet, ResNet and more Medium https://link.medium.com/dWAYV5ap62
- Concepts, Techniques, and Models of Computer Programming Goodreads https://www.goodreads.com/book/show/772585.Concepts_Techniques_and_Models_of_Computer_Programming
- Architecture for IoT applications. Medium https://medium.com/techwasti/architecture-for-iot-applications-d50ece031d38
- You Need to Move from Cloud Computing to Edge Computing Now! Medium https://towardsdatascience.com/you-need-to-move-from-cloud-computing-to-edge-computing-now-e8759eb9690f
- Battle of Edge AI — Nvidia vs Google vs Intel https://towardsdatascience.com/battle-of-edge-ai-nvidia-vs-google-vs-intel-8a3b87243028
- GANGogh: Creating Art with GANs https://towardsdatascience.com/gangogh-creating-art-with-gans-8d087d8f74a1
- Challenges and Opportunities in Edge Computing https://arxiv.org/pdf/1609.01967.pdf
- Linux Notes For Professionals LinuxNotesForProfessionals
- Single Headed Attention RNN: Stop Thinking With Your Head https://arxiv.org/abs/1911.11423
- SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization https://arxiv.org/abs/1912.05027
- 50+ Free Data Science Books https://www.datasciencecentral.com/profiles/blogs/50-free-data-science-books?fbclid=IwAR2e2tMjqzdLu7QGoeCIaxxs66K6Myz5xuEK0qQbOwIMUzkLEh8ANpnxh4U
- Quantum support vector machine for big data classification https://arxiv.org/pdf/1307.0471.pdf
- Books-AI/DL/CV/Python https://drive.google.com/drive/folders/1o7iXVDlygCrF8Pl8I_fnzbNQwYp69an7
- A new open benchmark for speech recognition with limited or no supervision https://ai.facebook.com/blog/a-new-open-benchmark-for-speech-recognition-with-limited-or-no-supervision/
- Code and dataset: https://ai.facebook.com/tools/libri-light
- 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
- KNN Algorithm Simulation Based on Quantum Information file
- The Evolution of Imitation and Mirror Neurons in Adaptive Agents
- Quantum Teleportation in High Dimensions
- Show and Tell: A Neural Image Caption Generator https://arxiv.org/pdf/1411.4555.pdf
- Show, Attend and Tell: Neural Image Caption Generation with Visual Attention https://arxiv.org/pdf/1502.03044.pdf
- Linux Command Line Cheat Sheet
- CS231n: Convolutional Neural Networks for Visual Recognition http://cs231n.stanford.edu/
- Programming Languages Guides and Notes (Python - Pandas - NumPy - Octave/Matlab - C++) https://www.ritchieng.com/programming-languages/
- Training a custom dlib shape predictor https://www.pyimagesearch.com/2019/12/16/training-a-custom-dlib-shape-predictor/
- 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
- Linux Command Line Basics https://www.udacity.com/course/linux-command-line-basics--ud595
- Shell Workshop https://www.udacity.com/course/shell-workshop--ud206
- Catalog | Next XYZ (ML - DL - Python - ... etc) https://next.tech/xyz/catalog
- A quick guide to using FFmpeg to convert media files https://opensource.com/article/17/6/ffmpeg-convert-media-file-formats
- 9 Free Courses by Harvard, MIT, IBM, Google, and Microsoft Medium https://medium.com/@PurpleGreenLemon/9-courses-to-learn-for-free-d7951a959f82
- A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials https://github.com/TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials
- Coding Blocks courses https://cb.lk/join/MAN0QQ
- Shell scripting https://explainshell.com/
- Linux Commands Cheat Sheet https://www.linuxtrainingacademy.com/linux-commands-cheat-sheet/
- Kaggle: your home for Data Science https://www.kaggle.com/
- Learn R, Python & Data Science https://www.datacamp.com/
- Beyond Accuracy: Precision and Recall Medium https://towardsdatascience.com/beyond-accuracy-precision-and-recall-3da06bea9f6c
- All Technology cheatsheet in one place https://www.linkedin.com/posts/kartik-sharma-733b3540_business-technology-datascience-activity-6609691165983903744-RtdE
- Screen capture, file sharing and productivity tool https://getsharex.com/
- Market Basket Analysis using Association Rule Mining. https://link.medium.com/crF95OR3t2
- Dream to Control: Learning Behaviors by Latent Imagination https://danijar.com/project/dreamer/
- Google dataset search https://toolbox.google.com/datasetsearch
- Oktoberfest Food Dataset https://github.com/a1302z/OktoberfestFoodDataset
- Multiple articles Medium https://medium.com/@pulkits_48071
- Introduction to Shell Programming https://www.rpi.edu/dept/arc/training/shell/slides.pdf Introduction to Shell Programming
- Best Linux Distributions for Beginners in 2019 https://www.fossmint.com/linux-distributions-for-beginners/
- How to Install Linux in Windows With a VMware Virtual Machine https://www.makeuseof.com/tag/install-linux-windows-vmware-virtual-machine/
- Denoising Autoencoder
- Interactive Roadmap of IOTA Research and Development https://roadmap.iota.org/
- Getting Started with Data Analytics using Jupyter Notebooks, PySpark, and Docker Medium https://towardsdatascience.com/getting-started-with-data-analytics-using-jupyter-notebooks-pyspark-and-docker-57c1aaab2408
- Transform Google Colab to a GPU instance with full SSH access https://imadelhanafi.com/posts/google_colal_server/
- Data Science and Cognitive Computing Courses https://cognitiveclass.ai/
- Untangled Episode #17: EDAG Citybot & Smart Parking https://blog.iota.org/untangled-episode-17-edag-citybot-smart-parking-246d90138b1b
- VizSeq: A visual analysis toolkit for accelerating text generation research https://ai.facebook.com/blog/vizseq-a-visual-analysis-toolkit-for-accelerating-text-generation-research/
- Awesome Public Datasets https://github.com/awesomedata/awesome-public-datasets#id16
- Towards Data Science https://link.medium.com/Bq3po0guC2
- How To Install the Anaconda Python Distribution on Ubuntu 18.04 https://www.digitalocean.com/community/tutorials/how-to-install-the-anaconda-python-distribution-on-ubuntu-18-04
- Mininet: Rapid Prototyping for Software Defined Networks https://github.com/aswinvk28/mininet
- MININET TOPOLOGY SETUP https://github.com/aswinvk28/snmp-mininet
- A Computer Science portal for geeks http://www.geeksforgeeks.org/
- 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
- Install Ubuntu desktop | Ubuntu tutorials https://tutorials.ubuntu.com/tutorial/tutorial-install-ubuntu-desktop#0
- CS231n Convolutional Neural Networks for Visual Recognition http://cs231n.github.io/convolutional-networks/
- Tableau (111 Tutorials) https://lnkd.in/fFs4tVT
- SQL Tutorials (34 Tutorials) https://lnkd.in/fm5_Exn
- Downloading Datasets into Google Drive via Google Colab Medium https://towardsdatascience.com/downloading-datasets-into-google-drive-via-google-colab-bcb1b30b0166
- Create a blog using Jekyll and GitHub pages with Docker https://yamatokataoka.github.io/create-a-blog-using-jekyll-and-github-pages-with-docker/
- Optimization Model https://www.sciencedirect.com/topics/agricultural-and-biological-sciences/optimization-model
- Moral Machine http://moralmachine.mit.edu/
- Computing Receptive Fields of Convolutional Neural Networks https://distill.pub/2019/computing-receptive-fields/
- Quantitative Economics with Python https://python.quantecon.org/index_toc.html
- SCC++: Predicting the programming language of questions and snippets of Stack Overflow https://www.sciencedirect.com/science/article/pii/S0164121219302791
- Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data https://eng.uber.com/generative-teaching-networks/
- OVERFITTING: A GUIDED TOUR https://www.alexpghayes.com/blog/overfitting-a-guided-tour/
- NEURAL NETWORKS! - CS50 Live, EP. 53 (pre-release) 2+ hours https://www.youtube.com/watch?v=hQhPogn1dpM
- Lecture Collection | Convolutional Neural Networks for Visual Recognition (Spring 2017) https://www.youtube.com/playlist?list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv
- Explaining Edge Computing https://www.youtube.com/watch?v=0idvaOCnF9E
- CS234: Reinforcement Learning | Winter 2019 Playlist https://www.youtube.com/playlist?list=PLoROMvodv4rOSOPzutgyCTapiGlY2Nd8u
- How Far is Too Far? | The Age of A.I. https://www.youtube.com/watch?v=UwsrzCVZAb8&feature=youtu.be
- RailsConf 2015 - Nothing is Something https://www.youtube.com/watch?v=OMPfEXIlTVE
- Ginni Rometty keynote: CES 2016 1 hour https://www.youtube.com/watch?v=VEq-W-4iLYU&feature=youtu.be
- Docker for beginners Playlist https://www.youtube.com/playlist?list=PLRAV69dS1uWTJLvDP4Veld5F05rJAmOcp
- ResNet Article Medium https://towardsdatascience.com/an-overview-of-resnet-and-its-variants-5281e2f56035
- L13/5 ResNet (Residual Networks) https://www.youtube.com/watch?v=lugkZaFj4x8
- ResNet Explained! https://www.youtube.com/watch?v=sAzL4XMke80
- MobileNet Image Classification with Keras https://www.youtube.com/watch?v=OO4HD-1wRN8
- Introduction to Time Series https://www.influxdata.com/training/what-is-time-series/?aliId=eyJpIjoiM1RtWHlYTVQ0NThTcFNmVSIsInQiOiIwQndzbkFsaWFFVWNqak9iejQ4NHRBPT0ifQ%253D%253D
- Two Minute Papers Channel https://www.youtube.com/user/keeroyz
- Linux Command Line Tutorial For Beginners Playlist https://www.youtube.com/playlist?list=PLS1QulWo1RIb9WVQGJ_vh-RQusbZgO_As
- Neural Networks Demystified Playlist https://www.youtube.com/playlist?list=PLiaHhY2iBX9hdHaRr6b7XevZtgZRa1PoU
- 3Blue1Brown Neural Network Playlist https://www.youtube.com/playlist?list=PL_h2yd2CGtBHEKwEH5iqTZH85wLS-eUzv
- Introduction to reinforcement learning Playlist https://www.youtube.com/playlist?list=PLqYmG7hTraZDM-OYHWgPebj2MfCFzFObQ
- CS885 Reinforcement Learning - Spring 2018 - University of Waterloo Playlist https://www.youtube.com/playlist?list=PLdAoL1zKcqTXFJniO3Tqqn6xMBBL07EDc
- CS671_Topic-12 (PART-C): Single Shot Multi Box Detector (SSD) https://www.youtube.com/watch?v=TbMJaYrVwAw
- Neural networks Playlist https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi
- Orange Data Mining Channel https://www.youtube.com/channel/UClKKWBe2SCAEyv7ZNGhIe4g/videos
- Download: https://orange.biolab.si/
- Artificial Curiosity https://www.youtube.com/watch?v=aom4RMOHezc&list=PL2-dafEMk2A663T80wzbIE4YDldoTaLDH
- Neuroscience vs Philosophy | Full Debate | Margaret Boden, Barry Smith, Steven Rose, Roger Bolton https://www.youtube.com/watch?v=x_ypquYcNl4
- word embeddings
- RNN W2L05 : Learning word embeddings https://www.youtube.com/watch?v=xtPXjvwCt64
- Word Embeddings https://www.youtube.com/watch?v=5PL0TmQhItY
- What Are Word Embeddings for Text? https://machinelearningmastery.com/what-are-word-embeddings/
- RNN W2L01 : Word Representation https://www.youtube.com/watch?v=hjx-zwVdfjc
- Design Patterns in Plain English | Mosh Hamedani https://www.youtube.com/watch?v=NU_1StN5Tkk
- Lecture 1: Overview | Stanford CS221: AI (Autumn 2019) https://www.youtube.com/watch?v=J8Eh7RqggsU