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  1. A Business Perspective

  2. Eric Jager's EA Wheel Cheat Sheet

    A flattened version of Eric Jager’s EA Wheel, including deliverables.

  3. Working with graphs using Networkx

  4. Natural Language Processing (NLP) essentials using NLTK.

  5. Predicting whether a news headline concerns either UK or world news.

  6. MLP can be fast and accurate with small training data sets too.

  7. Decision Tree Ensembles Compared

    Understand the differences between single Decision Trees, Random Forests, and Gradient Boosted Decision Trees.

  8. Learn how to create predictive models using Scikit-Learn’s Gaussian Naive Bayes Classifier.

  9. Dummy Models with Scikit-Learn

    A succinct overview of the main types of dummy models in Scikit-Learn, and why they are useful.

  10. In this tutorial we look at the most popular metrics used for the purpose of evaluating regression models: MAE, MedAE, MSE, RMSE and R2

  11. In this tutorial we look at the differences between accuracy, precision, and recall, plus other metrics used to evaluate classification models.

  12. Decision Trees with Scikit-Learn

    Helping solve a murder case using Scikit-Learn’s decision tree primitives.

  13. SVM with Scikit-Learn

    This tutorial shows how SVM models can help in classification problems for which simple logistic regression models are inadequate.

  14. Learn how to use Scikit-Learn’s logistic regression primitives to predict the likelihood of a good night’s sleep.

  15. Learn how to create predictive models using Scikit-Learn’s linear regression primitives.

  16. You should be very, very upset.

  17. About Me

    Who the hell is Ernie?

  18. My Music

    Music that I made.

  19. Using the k-nearest neighbors algorithm (k-NN) to predict house prices in England.

  20. Matplotlib by Example

    Matplotlib by Example

  21. Pandas by Example

    A bunch of Pandas examples.

  22. NumPy by Example

    A bunch of NumPy examples.

  23. Twelve dimensions to judge data visualisations.

  24. Python Regexps by Example

    A bunch of Python regexp examples.

  25. Complete Company Training Fast!

    Oh, company training all over again in 2022?

  26. Assessments and requirements gathering engagements are so passé.

  27. The Fallacy of Configurability

    How flexible should your application be?

  28. Hey Ernie, I am quite happy with Dropbox and I simply don’t get Git.

  29. How can being the perfect employee be bad for business?

  30. Why EAs aren’t senior engineers.

  31. Don't Listen to the Grammar Bot

    My language has reduced impact and is plagued with clichés.

  32. What functional requirements, functional programming, and application functionality, don’t have in common.

  33. Stuck with Sparx Systems Enterprise Architect?

  34. Helicopter views, five bullet point slides, elevator pitches.

  35. Why slog at a job (or worst, many of them) until you are about to drop dead when, instead, you can retire in just 10 years, before you turn 40?

  36. Digital APIs versus ISO 20022

    Adopters of ISO 20022 often fall into the trap of thinking that the standard applies to APIs across the entire organisation.

  37. Together, Go and DynamoDB help squeeze the best performance out of AWS for highly transactional applications.

  38. VMWare has rebranded itself as a “cloud company” and is actively throwing around buzzwords such as Hyperconverged infrastructure (HCI), hybrid cloud, multi-cloud, and Tanzu Kubernetes.

  39. The free WordPress iOS app, which helps manage sites created with the open source content management framework of the same name, is the most recent victim of the Apple App Store’s police, following Fornite’s—still ongoing—saga.

  40. If you have been feeling stressed about jumping from meeting to meeting whilst working from home, there are two aspects in which both Outlook and GSuite add to our stress, rather than making things easier: reminders, and videoconference links.

  41. This is a short visual guide, using UML Activity diagrams, to gain insight into the Kubernetes Probe and Deployment life cycles.

  42. Svelte in Five Minutes

    This is a quick guide for newcomers to Svelte who already have a background on a web framework (preferably but not necessarily Vue.js).

  43. Anti-Scale

    Software has become too complex.

  44. Go By Assertion

    This is a compact Go reference based on unit testing assertions as opposed to print statements—usually the norm.

  45. Writing a Hangman Game in Vue.js

    This is a project-orientated Vue.js and Bootstrap Vue demonstration.

  46. Articol fără titlu

  47. About

    This is Ernesto “Ernie” Garbarino’s personal web site.

  48. AWS 2018 Exam Outline

    This is a rather rough outline that contains key points relevant to the Amazon Certified Solutions Architect (Associate) exam.

  49. Pandas for Excel Monkeys

    I am an Excel monkey.

  50. These are the best statements I heard (or were shown on slides but not necessary verbalised) during the Cloud Native 2018 conference held between Wednesday, 26th and Friday, 28th September at CodeNode, London.