Updated Resource Links

_members/y26/vedanshSethi.md

@@ -1,6 +1,6 @@
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-title: ""
-permalink: /members/vedanshSethi
+title: ""s
+permalink: /members/vedansh
 layout: single
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_pages/about.md

@@ -246,6 +246,10 @@ layout: splash
         <h3><a href="{{ site.baseurl }}/members/kavish">Kavish Grover</a></h3>
       </div>
     </div>
+    <div class="member-card">
+        <img src="{{ site.baseurl }}/assets/images/members/y26/VedanshSethi.png" alt="Vedansh Sethi" onerror="this.src='{{ site.baseurl }}/assets/images/placeholder.jpeg';">
+        <h3><a href="{{ site.baseurl }}/members/vedansh">Vedansh Sethi</a></h3>
+      </div>
   </div>
 
 

_pages/resources.md

@@ -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.
 
 ### Resources
-[<span style="color:blue;">Prob-Stats 1</span>](https://hackmd.io/@eMS9nZq5Tk6-gP09chWyqQ/H1TZcit6a) : 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.
+[<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.
 
-[<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.
 
-[<span style="color:blue;">Linear Algebra and Optimisation</span>](https://hackmd.io/CRuXzA0XRFy5I2Yh51dODg?view) : 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.
+[<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.
 
 ### Assignments
 [<span style="color:blue;">Prob-Stats 1</span>](https://hackmd.io/Id8UgDukSImYiMI3tDKPkQ?view)
@@ -27,19 +27,21 @@ Before delving into Machine Learning and Deep Learning, it's crucial to solidify
 After you are over with all the math resources and assignments, with the mathematical foundations firmly in place, we urge you to move on to the core subject of our journey: Machine Learning. It’s essential to understand both the theory and application of ML algorithms to build systems that solve complex problems.
 
 ### Resources
-[<span style="color:blue;">ML-0</span>](https://hackmd.io/@aakashks/B1iicQnlA)
+[<span style="color:blue;">ML-0</span>](https://hackmd.io/@YUkJ6r5iRT26UFHW-FBOeQ/SkBLlgyoZg)
 
-[<span style="color:blue;">ML-1</span>](https://hackmd.io/@tisanant/ry5AjOxX0)
+[<span style="color:blue;">ML-1</span>](https://hackmd.io/@hp9_6wFGQ3aUMWP8JxTiRw/ByeN7pR_sWx)
+
+[<span style="color:blue;">ML-2</span>](https://hackmd.io/@cerussite0/Bkm8Ny72be)
 
 ### Assignments
 [<span style="color:blue;">ML-0</span>](https://hackmd.io/@aakashks/BJvKgy2zC)
 
-For ML-1, we will hold a hackathon later this year in place of the assignment. Until then, happy learning!
-
 ## Deep Learning
 Moving on to Deep Learning, a subset of machine learning that focuses on models known as neural networks. This section will deepen your understanding of the cutting-edge techniques driving today’s AI breakthroughs.
 
-[<span style="color:blue;">Resources</span>](https://hackmd.io/@bo1tKdKHTzWAvzZH0oC_SA/SJL_JDjQ0)
+[<span style="color:blue;">DL-0</span>](https://hackmd.io/@friscoid/rJEjCcz6We)
+
+[<span style="color:blue;">DL-1</span>](https://hackmd.io/@friscoid/rkX1YXckfx)
 
 [<span style="color:blue;">Assignment</span>](https://hackmd.io/@0xpegasus/ryXpSJ8E0)