# Data Science & Machine Learning

<details>

<summary>Videos</summary>

* [Introduction to machine learning problem framing](https://developers.google.com/machine-learning/problem-framing)
* [Machine learning crash course](https://developers.google.com/machine-learning/crash-course/ml-intro)
* [2020 Machine Learning Roadmap](http://youtube.com/watch?v=pHiMN_gy9mk)

</details>

<details>

<summary>Articles</summary>

* [15 Important product metrics you should be tracking](https://amplitude.com/blog/product-metrics-guide)
* [Why Product Metrics Matter](https://www.productplan.com/learn/product-metrics-matter/)
* [Qualtrics - Product Metrics: What you Need to Know](https://www.qualtrics.com/au/experience-management/product/product-metrics/)
* [Product Metrics Framework](https://userpilot.com/blog/product-metrics-framework/)
* [Google - good data analysis](https://developers.google.com/machine-learning/guides/good-data-analysis)
* [The Data Science Life-Cycle](https://towardsdatascience.com/stoend-to-end-data-science-life-cycle-6387523b5afc)
* [Don’t trust data scientists to set performance metrics](https://towardsdatascience.com/dont-trust-data-scientists-to-set-performance-metrics-908bcd80bac6)
* [The unspoken rules of visualisation](https://datajournalism.com/read/longreads/the-unspoken-rules-of-visualisation)
* [Introduction to Natural Language Processing for Text](https://towardsdatascience.com/introduction-to-natural-language-processing-for-text-df845750fb63)
* [Amenity Detection and Beyond — New Frontiers of Computer Vision at Airbnb](https://medium.com/airbnb-engineering/amenity-detection-and-beyond-new-frontiers-of-computer-vision-at-airbnb-144a4441b72e)
* [Build a Recommendation Engine With Collaborative Filtering](https://realpython.com/build-recommendation-engine-collaborative-filtering/#:~:text=Collaborative%20filtering%20is%20a%20family,type%20of%20collaborative%20filtering%20approach.)
* [A Visual and Interactive Guide to the Basics of Neural Networks](http://jalammar.github.io/visual-interactive-guide-basics-neural-networks/)

</details>

<details>

<summary>Books</summary>

* [Measure What Matters](https://www.amazon.sg/Measure-What-Matters-Simple-Drives/dp/024134848X/ref=asc_df_024134848X/?tag=googleshoppin-22\&linkCode=df0\&hvadid=389049660685\&hvpos=\&hvnetw=g\&hvrand=3444570859377704106\&hvpone=\&hvptwo=\&hvqmt=\&hvdev=c\&hvdvcmdl=\&hvlocint=\&hvlocphy=9062526\&hvtargid=pla-440960730426\&psc=1\&mcid=ab01fd7d565f3c368af189cdcfd69e09) (John Doerr)
* [The Signal and the Noise](https://www.amazon.com/Signal-Noise-Many-Predictions-Fail-but/dp/0143125087) (Nate Silver)
* [Lean Analytics: Use Data to Build A Better Startup Faster](https://leananalyticsbook.com/) (Alistair Croll & Benjamin Yoskovitz)

</details>


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