Updated Resource Links - #111
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Aug 14, 2026
| [<span style="color:blue;">Prob-Stats 1</span>](https://hackmd.io/@5IJBw6RCTNS9fjyOKOTwkQ/S1Y03HiDbe) : Begin with the basics of probability and statistics, which will help you understand data distribution, uncertainty, and decision-making processes—key elements in building ML models. | ||
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| [<span style="color:blue;">Prob-Stats 2</span>](https://hackmd.io/@ZXxKhF68QyCRN3u4US17ZQ/ryAOaL_0a) : This further explores probability and statistics, diving deeper into advanced topics that are critical in more complex ML models, such as Bayesian inference and hypothesis testing. | ||
| [<span style="color:blue;">Prob-Stats 2</span>](https://hackmd.io/@VBkCDDuLSdC5UjoRWvYtiA/rJiSIg7dWe) : This further explores probability and statistics, diving deeper into advanced topics that are critical in more complex ML models, such as Bayesian inference and hypothesis testing. |
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get the name of the hackmd changed from aarush - it says ps 1
| [<span style="color:blue;">Linear Algebra and Optimisation</span>](https://hackmd.io/@1hF6KBx_RzSqdNlwAfCfIg/H1wXrstt-e) : Linear algebra forms the foundation for many ML algorithms, particularly in deep learning where operations on high-dimensional data are frequent. Optimization is the process of improving these models, and understanding both is indispensable for tackling real-world ML problems. | ||
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| ### Assignments | ||
| [<span style="color:blue;">Prob-Stats 1</span>](https://hackmd.io/Id8UgDukSImYiMI3tDKPkQ?view) |
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why hasn't the assignment section been updated?
| [<span style="color:blue;">ML-2</span>](https://hackmd.io/@cerussite0/Bkm8Ny72be) | ||
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| ### Assignments | ||
| [<span style="color:blue;">ML-0</span>](https://hackmd.io/@aakashks/BJvKgy2zC) |
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this has been left in place - remove or replace
| @@ -10,11 +10,11 @@ Hello everyone. Whether you’re part of the team or just curious to learn, here | |||
| Before delving into Machine Learning and Deep Learning, it's crucial to solidify the mathematical foundations upon which these fields are built. Mathematics is the backbone of ML and DL algorithms, and a strong grasp of key concepts like probability, statistics, linear algebra, and optimization is essential. This section equips you with those foundational skills. | |||
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their exists a comprehensive hackmd (https://hackmd.io/@reyna-v/dsg-resources-oc)
this has all the resources compiled in place too. add this as a stop shop, or have your +1 create a similar one and put it
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