PUBLICATIONS (Selected)

“Solving the Data Interoperability Problem using a Universal Data Access Broker”. Mike Higgs & Bruce H. Cottman, IEEE Data Engineering Bulletin, September 1998. https://dblp.org/db/journals/debu/debu21

“A Development Framework for Distributed Operations Support Systems”, R.M. Adler and B.H. Cottman. Fifth Conference on AI for Space Applications, Huntsville, Alabama, May 1990.

“A Development Framework for Distributed Artificial Intelligence”, R.M. Adler and B.H. Cottman. IEEE Fifth Conference on Artificial Intelligence Applications, Miami, FL, March 1989.

Other publications include Approximately 20 final reports by Army, Darpa, NASA, and the Navy approximately and 12 papers published in Physics Letter C, Physics C and Nuclear Methods.

Medium Articles

  1. paso’s Offering of Logging and Parameter Services for your Python Project. Published in towardsdatascience.com - June 15, 2019.

  2. Balancing and Augmenting Structured Data. towardsdatascience.com - Oct 11, 2019.

  3. Uncommon Data Cleaners for your Real-World Machine or Deep Learning Project. towardsdatascience.com - Nov 6, 2019 .

  4. More Uncommon Data Cleaners for your Machine or Deep Learning Project. towardsdatascience.com - Dec 14, 2019.

  5. Will Streamlit kill off Flask? theStartup.com - Dec 22, 2019.

  6. Will Streamlit cause the extinction of Flask? Published in towardsdatascience.com - Jan 21, 2020.

  7. Create Your Blog Site for Free. Published in towardsdatascience.com - Jan 24, 2020.

  8. Tensorflow for Swift is a Machine Learning Framework on Android and iPhone. Published In Noteworthy - The Journal Blog Feb 14, 2020.

  9. A Docker Solution For the Enterprise. Published in theStartup.com - Feb 16, 2020.

  10. We doubled our Docker Enterprise Solution Speeds. Published in theStartup.com - Feb 27, 2020.

  11. Is Photonai a Better Choice Than Scikit-Learn? towardsdatascience.com - March 6, 2020.

  12. Streamlit can not yet replace Flask: The Streamlit 2020 Roadmap. towardsdatascience.com - March 9, 2020.

  13. 11 Refactoring Tasks to Up Your Game. Published in towardsdatascience.com - March 20, 2020.

  14. 12 Examples of How To Write Better Code Using @dataclass. Published in towardsdatascience.com - March 31, 2020.

  15. Adding Jupyter Notebook Extensions to a Docker Image. Published in towardsdatascience.com - April 2, 2020.

  16. 21 Techniques to Write Better Python Code. Published in Machine Learning and Programming - April 9, 2020.

  17. PyCharm: An Animated Guide to Creating Projects and Setting their Behavior. Published in Machine Learning and Programming - May 1, 2020.

  18. Seventeen Basic Techniques from my Code Review Checklist. Published in theStartup.com - May 9, 2020.

  19. 45 Observations of an Extensive Study of KMeans and KMedoids Unsupervised Learning Clustering. Published in towardsdatascience.com - June 13, 2020.

  20. My journey to speed up Python: Setting Up a GoLang Development Environment and Benchmarking. Published in towardsdatascience.com - June 26, 2020.

  21. Will Github Actions kill off Jenkins? Published in theStartup.com - July 9. 2020.

  22. S***e of Master/S***e is the S-word of Technology. - July 13. 2020.

  23. Natural Language Processing in Production: Creating Docker Images.. Published in Machine Learning and Programming- August 17, 2020.

  24. Converting PDF and Gutenberg Document Formats into Text: Natural Language Processing in Production. Published in Machine Learning and Programming - August 24, 2020.

  25. Is GPT-3 the “Adam” of natural language? Published in Artificial Intelligence and Machine Learning - September 1, 2020.

  26. Approximately One Million Datasets and one Benchmark framework for your Natural Language Processing Project. Published in The Startup, Machine Learning - September 15, 2020.

  27. Natural Language Processing in Production: 27 Fast Text Pre-Processing Methods. Published in The Startup, Machine Learning - September 16, 2020.

  28. Does size matter for Natural Language Text Generation? Published in The Startup, Machine Learning - September 18, 2020.

  29. A Fantastic Way to Programmatically Create Diagrams for Different Cloud Architectures. Published in Better Programming- October 11, 2020.

  30. I Wish I had Known these Thirty Concepts and Sixty Lesson Tips Before I Took the edX AWS Developer Course - Published in [Analtyics Vidhya] (https://medium.com/analytics-vidhya)- October 14, 2020

  31. edX AWS SageMaker: I am not Proud About Getting 100% on the Final Exam - Published in Level Up Coding - October 19, 2020.

  32. Hints and Tips for Coursera Google Cloud Platform Fundamentals: Core Infrastructure - Published in [Analtyics Vidhya] (https://medium.com/analytics-vidhya)- October 28, 2020.

  33. 7 Hints and 10 Tips for Coursera Essential Google Cloud Infrastructure: Foundation - Published in Analtyics Vidhya- November 5, 2020.

  34. Guide to Equivalent Services From Three Cloud Vendors - Published in Levelup Coding - November 23, 2020.

  35. Avoid These Data Pitfalls When Moving Machine Learning Applications Into Production - Published in The Startup - November 26, 2020.

  36. 10 Pitfalls and 11 Best-Practices for the Design Phase of a Machine Learning Application Project - Published in towardsdatascience.com - December 10, 2020.

  37. 26+ Useful Machine Learning Blogs and Newsletters to Increase your Productivity Published in The Startup - December 25, 2020.

  38. Three pathways the RNA-based COVID-19 Mutates Published in The Startup - December 29, 2020.

  39. Thirty-two Python Tools and Package Libraries to Increase your Machine Learning Productivity Published in towardsdatascience.com - January 1, 2021.

  40. Ten Fast Text Preprocessing Benchmarks on CPU, GPU, and TPU Published in towardsdatascience.com - January 8, 2021.

  41. Stop Calling Machine Learning Operations Execution Flow a Pipeline - Published in The Startup - January 15, 2021.

  42. Sixteen Python Code Utilities for Colab - Published in The Startup - January 18, 2021.

  43. Divide and Conquer Simplifies MLOps.. - Published in The Startup - January 29, 2021.

  44. Write better articles with this tool. - Published Feburary 6, 2021.

  45. 18 Coding Tools for Your Python Developer Sandbox. - Published in Better Programming - Feburary 8, 2021.

  46. My First Attempt to Speed up Python with Golang.- Published in - python in plain english. - Feburary 10, 2021.

  47. Streamlit Kills Flask! - Published in Better Programming - Feburary 11, 2021.

  48. Transform Your Favorite Python IDE Into a DevOps Tool. - Published in Better Programming - Feburary 17, 2021.

  49. Twelve Properties Rated of Four Tools of the MLOps: DevOps Ecosystem. - Published in towardsdatascience.com - Feburary 24, 2021.

  50. Google Colab Enables Team Remote Work. - Published in Better Programming - Feburary 28, 2021.

  51. Ten PyCharm Features for Python Projects. - Published in ITNext - March 2, 2021.

  52. Thirty-Two Advanced Techniques For Better Python Code. - Published March 4, 2021.

  53. Six Datatype Transformer Functions for Data Pre-Processing for Machine Learning - Published in towardsdatascience.com - March 25, 2021.

  54. Twenty Type Hinting Techniques and Tools For Better Python Code.. Published in Better Programming - April 2, 2021.

  55. Twenty-Three Essential Commands for the best experience with your Minikube Installation - April 21, 2021.

  56. How to Assign Cloud Virtual Machines to a Kubernetes Node Published in ITNext - May 1, 2021.

  57. Thirty-One Checks For Different Levels of Machine Learning Operation Maturity - Published in towardsdatascience.com May 13, 2021.

  58. A Natural Language Processing Benchmark Framework Published in mlearning-ai May 14, 2021.

  59. How to Assign Computing Resources for Four Different Cloud Kubernetes Services: AKS, EKS, GKE, and Minikube - Published in towardsdatascience.com May 20, 2021

  60. Six Advanced Decorator Patterns Published in Better Programming- June 1, 2021.

  61. Nine @dataclass Techniques for Better Python Code Published in Published in Better Programming June 7, 2021.

  62. More Than Thirty Machine Learning Blogs and Newsletters that Increased our Productivity. Published June 9, 2021.

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