machine-learning-roadmap
system-design-primer
| machine-learning-roadmap | system-design-primer | |
|---|---|---|
| 5 | 380 | |
| 7,164 | 255,886 | |
| - | - | |
| 0.0 | 0.0 | |
| over 1 year ago | 6 days ago | |
| Python | ||
| MIT License | GNU General Public License v3.0 or later |
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.
machine-learning-roadmap
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Best AI ML DL DS Roadmap
**[Mrdbourke/machine-learning-roadmap on GitHub](https://github.com/mrdbourke/machine-learning-roadmap)**: This GitHub repository is more focused on machine learning. It's a good choice if you're looking for a more community-driven approach, as GitHub repositories often encourage contributions and updates from various experts.
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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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100+ Must Know Github Repositories For Any Programmer
7. Machine Learning Roadmap
- Where can I start?
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Machine Learning Roadmap
Original article here: https://github.com/mrdbourke/machine-learning-roadmap
system-design-primer
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10 GitHub repositories that every developer must follow
✅ donnemartin/system-design-primer: https://github.com/donnemartin/system-design-primer
- FAANG - Guia Descomplicado de Entrevistas - parte 2
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10 GitHub Repos to Become a Better Backend Developer
View on GitHub
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[Need Recommendation] System design concepts based repos that provide bird's-eye-view
I've been giving interviews for past couple of months and this github repo has helped me so much for system design perspective and I can see myself excelling at interviews. - https://github.com/donnemartin/system-design-primer
- GitHub – system-design-primer: Learn how to design large-scale systems
- FLaNK Stack Weekly for 30 Oct 2023
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Getting ACL surgery in two day and pretty nervous.
You'll be on opiod's probably the first 1-2 days, so sleeping should be fine. Everything will be allright, don't worry too much. Just use the time now to prepare for the time after, make sure you go through post-surgery-essentials thread. Once you are out of the OR you won't have the energy to think about those details, so make sure you take that prep serious.
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Tool decision - What architecture would you choose and why?
Tooling isn’t architecture. Figure out what you need to handle both personas and volume/throughput and then lay out the capabilities you’ll need. As you lay out points of ingress, egress, consumption you can start to lay out sequences(think in persona and sequence diagrams to express interactions between services). Lastly, evaluate tools that offer some of these capabilities and weigh the trade-offs (there are always trade-offs: https://github.com/donnemartin/system-design-primer).
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Is there an EU country which I might work there being an average non-EU developer
[1] https://github.com/donnemartin/system-design-primer [2] https://www.teamblind.com/post/My-Approach-to-System-Design-V4SJARdx
What are some alternatives?
applied-ml - 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Grokking-the-Coding-Interview-Patterns - This course categorizes coding interview problems into a set of 16 patterns. Each pattern will be a complete tool - consisting of data structures, algorithms, and analysis techniques - to solve a specific category of problems. The goal is to develop an understanding of the underlying pattern, so that, we can apply that pattern to solve other problems. [UnavailableForLegalReasons - Repository access blocked]
stanford-cs-229-machine-learning - VIP cheatsheets for Stanford's CS 229 Machine Learning
developer-roadmap - Interactive roadmaps, guides and other educational content to help developers grow in their careers.
interviews.ai - It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.
machine-learning-interview - Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
yt-channels-DS-AI-ML-CS - A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.
interview - Everything you need to prepare for your technical interview
Hello-Kaggle - For someone who is new at Kaggle
awesome-interview-questions - :octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
Knet.jl - Koç University deep learning framework.
manim - Animation engine for explanatory math videos