Linking pages
- My AI Timelines Have Sped Up https://www.alexirpan.com/2020/08/18/ai-timelines.html 130 comments
- Why Tool AIs Want to Be Agent AIs · Gwern.net http://www.gwern.net/Tool%20AI 58 comments
- An End-to-End AutoML Solution for Tabular Data at KaggleDays – Google AI Blog https://ai.googleblog.com/2019/05/an-end-to-end-automl-solution-for.html 41 comments
- Hiring a data scientist – Diff https://blog.wikimedia.org/2017/02/02/hiring-data-scientist/ 19 comments
- Machine Learning for Drummers http://blog.petersobot.com/machine-learning-for-drummers 14 comments
- The Method to the Madness: Setting up a Python Workflow for Machine Learning — Steemit https://steemit.com/steemstem/@chosunone/the-method-to-the-madness-setting-up-a-python-workflow-for-machine-learning 7 comments
- Why Does No One Use Advanced Hyperparameter Tuning? | by Liam Li | Towards Data Science https://towardsdatascience.com/why-does-no-one-use-advanced-hyperparameter-tuning-ac139a5bf9e3 6 comments
- Artificial Startup Style. Neural art about startup fashion | by Jeff Smith | Data Engineering | Medium https://medium.com/data-engineering/artificial-startup-style-437f6090b1f7 4 comments
- Life After Hadoop: Getting Data Science to Work for Your Business | by Josh Patterson | Towards Data Science https://towardsdatascience.com/life-after-hadoop-getting-data-science-to-work-for-your-business-c9ab6605733f 2 comments
- OptFormer: Towards Universal Hyperparameter Optimization with Transformers – Google AI Blog https://ai.googleblog.com/2022/08/optformer-towards-universal.html 1 comment
- Why Tool AIs Want to Be Agent AIs · Gwern.net https://www.gwern.net/Tool-AI 1 comment
- Using AutoML for Time Series Forecasting – Google AI Blog https://ai.googleblog.com/2020/12/using-automl-for-time-series-forecasting.html 1 comment
- GitHub - petercerno/trader-backtest: High-performance backtesting engine written in C++ for evaluating trading strategies restricted to a single trading pair (e.g. BTC/USD) and finding their optimal hyper-parameters. This software gives you a full control over every single bit that goes into backtesting. Licensed under MIT. https://github.com/petercerno/trader-backtest 1 comment
- How to Put Machine Learning in your Machine Learning – The Official Blog of BigML.com https://blog.bigml.com/2016/07/07/how-to-put-machine-learning-in-your-machine-learning/ 1 comment
- Massively Parallel Hyperparameter Optimization on AWS Lambda | by Michael Hart | Medium https://medium.com/@hichaelmart/massively-parallel-hyperparameter-optimization-on-aws-lambda-a7a24b1970c8 1 comment
- ZEN-RRNN - On Meditation & Machines | by samim | Medium https://medium.com/@samim/zen-rrnn-on-meditation-machines-bbeb92aa62d3 1 comment
- Bayesian-Optimization-in-FSharp/AdventSubmission.md at main · MokoSan/Bayesian-Optimization-in-FSharp · GitHub https://github.com/MokoSan/Bayesian-Optimization-in-FSharp/blob/main/AdventSubmission.md 1 comment
- Julia Boards the Titanic- A brief introduction to the MLJ.jl package - Julia Community 🟣 https://forem.julialang.org/ablaom/julia-boards-the-titanic-1ne8 1 comment
- Alternating updates for efficient transformers – Google Research Blog https://blog.research.google/2023/11/alternating-updates-for-efficient.html 1 comment
- Reinforcement Q-Learning from Scratch in Python with OpenAI Gym – LearnDataSci https://www.learndatasci.com/tutorials/reinforcement-q-learning-scratch-python-openai-gym/ 0 comments
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