<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/">
  <channel>
    <title>Python on Harshvardhan</title>
    <link>/tags/python/</link>
    <description>Recent content in Python on Harshvardhan</description>
    <image>
      <title>Harshvardhan</title>
      <url>/img/sharing-image.png</url>
      <link>/img/sharing-image.png</link>
    </image>
    <generator>Hugo</generator>
    <language>en</language>
    <lastBuildDate>Mon, 21 Aug 2023 00:00:00 +0000</lastBuildDate>
    <atom:link href="/tags/python/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>HP Internship: A Year and a Half in the Fast Lane</title>
      <link>/hp-blog-2023/</link>
      <pubDate>Mon, 21 Aug 2023 00:00:00 +0000</pubDate>
      <guid>/hp-blog-2023/</guid>
      <description>During my 15-month internship at HP Inc., I dove into machine learning forecasting, tackling challenges from SKU-level predictions to data management. Collaborating with the SPaM team, utilizing innovative tools, and embracing HP&amp;rsquo;s culture of innovation and failure, I emerged with invaluable skills, insights, and memories.</description>
    </item>
    <item>
      <title>ML Forecasting at HP Inc.</title>
      <link>/hp23/</link>
      <pubDate>Mon, 21 Aug 2023 00:00:00 +0000</pubDate>
      <guid>/hp23/</guid>
      <description>Creating ML demand forecast for print products at HP Inc. using LightGBM and pushing it to production for wide adoption.</description>
    </item>
    <item>
      <title>Reflections from KDD 2023</title>
      <link>/reflections-from-kdd-2023/</link>
      <pubDate>Mon, 14 Aug 2023 00:00:00 +0000</pubDate>
      <guid>/reflections-from-kdd-2023/</guid>
      <description>My notes on talks I attended (mostly on LLMs) at 29th ACM SIGKDD 2023 at Long Beach, CA</description>
    </item>
    <item>
      <title>End-to-End Inventory Prediction and Contract Allocation for Guaranteed Delivery Advertising</title>
      <link>/kdd2023talk/</link>
      <pubDate>Mon, 07 Aug 2023 16:00:00 +0000</pubDate>
      <guid>/kdd2023talk/</guid>
      <description>We proposed a novel end-to-end approach, the Neural Lagrangian Selling (NLS) model, to improve Guaranteed Delivery (GD) advertising by concurrently predicting ad impression inventory and optimizing contract allocation</description>
    </item>
    <item>
      <title>End-to-End Inventory Prediction and Contract Allocation for Guaranteed Delivery Advertising</title>
      <link>/kdd2023/</link>
      <pubDate>Wed, 07 Jun 2023 00:00:00 +0000</pubDate>
      <guid>/kdd2023/</guid>
      <description>We proposed a novel end-to-end approach, the Neural Lagrangian Selling (NLS) model, to improve Guaranteed Delivery (GD) advertising by concurrently predicting ad impression inventory and optimizing contract allocation. The model incorporates a differentiable Lagrangian layer and a graph convolutional neural network to enable direct optimization of allocation regret and effective handling of various allocation targets and constraints. &lt;a href=&#34;https://www.harsh17.in/docs/kdd2023/E2E_Paper.pdf&#34;&gt;🔗 PDF&lt;/a&gt;</description>
    </item>
    <item>
      <title>Predicting Race, Age and Gender from Face: A Small-sample Example with Encoding</title>
      <link>/predicting-race-age-and-gender-from-face-a-small-sample-example-with-encoding/</link>
      <pubDate>Sat, 03 Jun 2023 00:00:00 +0000</pubDate>
      <guid>/predicting-race-age-and-gender-from-face-a-small-sample-example-with-encoding/</guid>
      <description>Predicting race, age and gender of faces using Variational Autoencoders and Convolutional Neural Networks.</description>
    </item>
    <item>
      <title>Crafting Conversations with GPT Personalities in Python</title>
      <link>/gpt-chatbot/</link>
      <pubDate>Sun, 09 Apr 2023 00:00:00 +0000</pubDate>
      <guid>/gpt-chatbot/</guid>
      <description>Building a customizable chatbot that brings unique characters to life</description>
    </item>
    <item>
      <title>From Bits to Words: A Tale Computing and Communication Languages</title>
      <link>/languages/</link>
      <pubDate>Wed, 08 Feb 2023 00:00:00 +0000</pubDate>
      <guid>/languages/</guid>
      <description>A ten-year-old kid was beginning his high school journey when he had to learn a third language. He was already learning two languages: his mother tongue Hindi and the common-speak English. But neither of them had prepared him for Sanskrit.</description>
    </item>
    <item>
      <title>Supply Chain Analytics at HP Inc.</title>
      <link>/hp22/</link>
      <pubDate>Mon, 31 Oct 2022 00:00:00 +0000</pubDate>
      <guid>/hp22/</guid>
      <description>Forecasting Global Print Demand Using Machine Learning</description>
    </item>
    <item>
      <title>Script monkey! 🐒</title>
      <link>/script-monkey/</link>
      <pubDate>Mon, 01 Aug 2022 00:00:00 +0000</pubDate>
      <guid>/script-monkey/</guid>
      <description>Use a Script Monkey in your codebase at all locations where you need to change things manually. All that involves is writing an extra comment saying &amp;lsquo;Script Monkey&amp;rsquo;. Later on, search for all monkeys in the script and make the changes. Simple.</description>
    </item>
  </channel>
</rss>
