AI-Expert-Roadmap
FizzBuzz Enterprise Edition
| AI-Expert-Roadmap | FizzBuzz Enterprise Edition | |
|---|---|---|
| 30 | 329 | |
| 28,418 | 20,480 | |
| 1.7% | 1.3% | |
| 0.0 | 0.0 | |
| 4 months ago | 6 months ago | |
| JavaScript | Java | |
| MIT License | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
AI-Expert-Roadmap
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Best AI ML DL DS Roadmap
**[I.am.ai AI Expert Roadmap](https://i.am.ai/roadmap)**: This roadmap focuses more on AI and includes various aspects of machine learning and deep learning. It's suitable for those who want to delve deeper into AI, particularly in cutting-edge research and applications.
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[D] Best AI ML DL DS Roadmap
Some roadmaps I have found: - [roadmap.sh] AI and Data Scientist Roadmap ← Best? - [i.am.ai] AI Expert Roadmap - [github.com] mrdbourke/machine-learning-roadmap - [github.com] luspr/awesome-ml-courses - [rentry.org] Machine Learning Roadmap
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[D] Roadmap.sh vs Al Expert Roadmap
[i.am.ai] AI Expert Roadmap
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Suggest which roadmap should I follow for ML?
1.https://i.am.ai/roadmap
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Where can I start?
I recommend this site where there's a roadmap for becoming an AI expert: https://i.am.ai/roadmap
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Can some one suggest Top certification courses for AI ?
Currently, I'm also learning about AI from this source https://github.com/AMAI-GmbH/AI-Expert-Roadmap
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How to study Machine Learning effectively?
I suggest following this roadmap. You might be put off by the amount of statistics topics, but it truly underpins almost all of machine learning so it's definitely useful to know.
- Como meterme al mundo AI
- Aprender IA siendo Programador?
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Mlops roadmap
Also: https://i.am.ai/roadmap/
FizzBuzz Enterprise Edition
- FizzBuzzEnterpriseEdition
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Simple Lasts Longer
That "Hello World Enterprise Edition" looks dangerously under-engineered - I could understand it! Far better to follow the best practices demonstrated in the Fizz Buzz Enterprise Edition...
https://github.com/EnterpriseQualityCoding/FizzBuzzEnterpris...
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Writing Clean Code with FastAPI Dependency Injection
Clean code is a balancing act - you’ll want to make sure you don’t turn your codebase into something like this.
- Milyen hasznos Github repokat ismertek?
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Yazılım sektörünü bırakmaya değer mi?
Bu hocam https://github.com/EnterpriseQualityCoding/FizzBuzzEnterpriseEdition
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oopWentTooFar
amidoingitright
- 7+ layer generic architecture libraries are crying rn
- Primeagen Code Review - EnterpriseQualityCoding/FizzBuzzEnterpriseEdition: FizzBuzz Enterprise Edition is a no-nonsense implementation of FizzBuzz made by serious businessmen for serious business purposes.
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Is Entreprise code unavoidable?
It seems to me that all large software projects eventually grow into "Enterprise" code. What I mean by this is something like FizzBuzz Enterprise Edition; large codebases with many layers where Design Patterns and SOLID principles are applied vigorously.
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Java 21 makes me like Java again
???
I'll answer your question with a question: Have you seen https://github.com/EnterpriseQualityCoding/FizzBuzzEnterpris... ? :)
I'm guess that to those of us who remember when Java came out, "FizzBuzz: EE" is what we think of when we think of Java. :P
In Java I have to type a bazillion characters to get anything done! And make all these useless directories and files and InterfaceClassFactoryProtocolStreamingSerializer BS. And worry about how that executes.
C++? No bloat*, just speed
*Yes, there's some _optional_ bloat. But compared to Java? no contest.
What are some alternatives?
developer-roadmap - Interactive roadmaps, guides and other educational content to help developers grow in their careers.
Logback - The reliable, generic, fast and flexible logging framework for Java.
cryptocurrency-price-prediction - Cryptocurrency Price Prediction Using LSTM neural network
awesome-functional-python - A curated list of awesome things related to functional programming in Python.
dalle-playground - A playground to generate images from any text prompt using Stable Diffusion (past: using DALL-E Mini)
Simple Java Mail - Simple API, Complex Emails (Jakarta Mail smtp wrapper)
igel - a delightful machine learning tool that allows you to train, test, and use models without writing code
yGuard - The open-source Java obfuscation tool working with Ant and Gradle by yWorks - the diagramming experts
arbitrary-image-stylization-tfjs - Arbitrary style transfer using TensorFlow.js
bitburner - Bitburner Game
LeetCode - This is my LeetCode solutions for all 2000+ problems, mainly written in C++ or Python.
Java-Hello-World-Enterprise-Edition