Refactor article titles and image attributes for SEO optimization; update image paths and remove unused images.

Author: kavaivaleri

.cursor/commands/seo-images-renaming.md

@@ -0,0 +1,3 @@
+# Update Image Formatting
+
+For each image in the page, if the name of the image is not descriptive, update the name of the image to be descriptive

.cursor/commands/seo-images.md

@@ -6,5 +6,4 @@ For each image in the page, update the image formatting to be SEO-optimized:
 - Use formatting like here:
 ```html
 loading="lazy" style="max-width: 100%; height: auto; border: 1px solid #ddd; border-radius: 4px;"
-```
-- If the name of the image is not descriptive, update the name of the image to be descriptive
+```

_layouts/post.html

@@ -11,7 +11,9 @@
 
         <div class="content-head d-flex justify-content-between align-items-center">
           <div>
-            <h1>{{ page.title }}</h1>
+            <title>{{ page.title }}</title>
+
+            <h1>{{ page.h1 | default: page.title }}</h1>
             {% if page.subtitle %}
               <h3>{{ page.subtitle }}</h3>
             {% endif %}

_posts/2020-12-23-slack-communities.md

@@ -1,6 +1,7 @@
 ---
 layout: post
 title: "20+ Best Data Science Slack Communities to Join in 2025"
+h1: "20+ Best Data Science Slack Communities"
 subtitle: "A guide to the most active Slack groups for data, AI, and machine learning professionals."
 description: "Explore top data science Slack communities for 2025. Join groups on AI, ML, MLOps, Python, R, visualization, and diversity in tech."
 image: "images/posts/2020-12-23-slack-communities/cover.png"

_posts/2022-07-12-building-data-science-team.md

@@ -14,7 +14,7 @@ date: 2025-08-10
 ---
 
 <figure>
-<img src="/images/posts/2022-07-12-building-data-science-team/image6.jpg" alt="Team members collaborating around a table during a meeting" />
+<img src="/images/posts/2022-07-12-building-data-science-team/data-science-team-collaboration-meeting.jpg" alt="Data science team collaborating in a meeting" title="Data science team collaborating in a meeting" loading="lazy" style="max-width: 100%; height: auto; border: 1px solid #ddd; border-radius: 4px;" width="auto" height="auto" />
 <figcaption>Photo by <a href="https://unsplash.com/@hannahbusing?utm_source=medium&utm_medium=referral" target="_blank">Hannah Busing</a> on <a href="https://unsplash.com?utm_source=medium&utm_medium=referral" target="_blank">Unsplash</a>.</figcaption>
 </figure>
 
@@ -34,7 +34,7 @@ The article is organized as follows:
 There are two ways to start building a data team, as shown in the following figure:
 
 <figure>
-<img src="/images/posts/2022-07-12-building-data-science-team/image3.png" alt="Two approaches to building a data science team: project-first vs hiring-first" />
+<img src="/images/posts/2022-07-12-building-data-science-team/approaches-to-building-data-science-team-project-first-vs-hiring-first.png" alt="Two approaches to building a data science team: project-first vs hiring-first" title="Two approaches to building a data science team: project-first vs hiring-first" loading="lazy" style="max-width: 100%; height: auto; border: 1px solid #ddd; border-radius: 4px;" width="auto" height="auto" />
 <figcaption>Two main approaches to starting your data science team</figcaption>
 </figure>
 
@@ -57,7 +57,7 @@ Building a data team can be a challenge, but it's definitely doable with careful
 When you start hiring, you may search for two types of profiles, as shown in the following figure:
 
 <figure>
-<img src="/images/posts/2022-07-12-building-data-science-team/image1.png" alt="Comparison between specialists and generalists in data science" />
+<img src="/images/posts/2022-07-12-building-data-science-team/specialists-vs-generalists-data-science-team.png" alt="Specialists vs generalists in a data science team" title="Specialists vs generalists in a data science team" loading="lazy" style="max-width: 100%; height: auto; border: 1px solid #ddd; border-radius: 4px;" width="auto" height="auto" />
 <figcaption>Specialists vs Generalists: choosing the right profile for your team</figcaption>
 </figure>
 
@@ -82,7 +82,7 @@ When building a data science team, it can be difficult to decide who to hire fir
 But in general, we recommend hiring first the following three profiles, as shown in the following figure:
 
 <figure>
-<img src="/images/posts/2022-07-12-building-data-science-team/image4.png" alt="Key roles to hire first: ML engineers, data engineers, and product managers" />
+<img src="/images/posts/2022-07-12-building-data-science-team/first-hires-ml-engineer-data-engineer-product-manager.png" alt="First hires for a data science team: ML engineer, data engineer, product manager" title="First hires for a data science team: ML engineer, data engineer, product manager" loading="lazy" style="max-width: 100%; height: auto; border: 1px solid #ddd; border-radius: 4px;" width="auto" height="auto" />
 <figcaption>The three key roles to prioritize when building your data science team</figcaption>
 </figure>
 
@@ -109,7 +109,7 @@ A strong product team is a team that is building a product that the customer wan
 - Testing these things out with customers very fast.
 
 <figure>
-<img src="/images/posts/2022-07-12-building-data-science-team/image5.png" alt="Characteristics of a strong product team: customer-centric, fast delivery, rapid testing" />
+<img src="/images/posts/2022-07-12-building-data-science-team/strong-product-team-characteristics-customer-centric-fast-iteration.png" alt="Strong product team characteristics: customer-centric, fast delivery, rapid testing" title="Strong product team characteristics: customer-centric, fast delivery, rapid testing" loading="lazy" style="max-width: 100%; height: auto; border: 1px solid #ddd; border-radius: 4px;" width="auto" height="auto" />
 <figcaption>Key characteristics of a strong product team</figcaption>
 </figure>
 
@@ -136,7 +136,7 @@ The interview should also include questions on personal experiences, to check wh
 You could also include a second interview, which could be a **homework assignment**. You could send out some homework, which is not very difficult. Then the candidate sends you the code, whether it is Jupyter Notebook or whatever. Then you should check it. From this simple task, you could already see how much people are working.
 
 <figure>
-<img src="/images/posts/2022-07-12-building-data-science-team/image2.png" alt="Data scientist interview process: resume review, interviews, and take-home assignments" />
+<img src="/images/posts/2022-07-12-building-data-science-team/data-scientist-hiring-process-resume-interviews-take-home.png" alt="Data scientist hiring process: resume review, interviews, take-home assignment" title="Data scientist hiring process: resume review, interviews, take-home assignment" loading="lazy" style="max-width: 100%; height: auto; border: 1px solid #ddd; border-radius: 4px;" width="auto" height="auto" />
 <figcaption>Three-step process for hiring data scientists</figcaption>
 </figure>
 

_posts/2022-07-15-what-open-source-can-do-for-your-data-career.md

@@ -12,7 +12,7 @@ title: What Open Source Can Do For Your Data Career
 ---
 
 <figure>
-<img src="/images/posts/2022-07-15-what-open-source-can-do-for-your-data-career/image1.jpg"  />
+<img src="/images/posts/2022-07-15-what-open-source-can-do-for-your-data-career/image1.jpg" alt="Open source for your data career: developer collaborating on GitHub" title="Open source for your data career: how contributions boost tech careers" loading="lazy" style="max-width: 100%; height: auto; border: 1px solid #ddd; border-radius: 4px;" width="auto" height="auto" />
 <figcaption>Image by Kushagra Kevat on <a href="https://unsplash.com/photos/KZs5Bt5VDng" target="_blank">Unsplash</a></figcaption>
 </figure>
 
@@ -77,8 +77,8 @@ Merve Noyan contributed to different Open Source projects already before joining
 After these contributions to the open-source community, Hugging face project included, they seamlessly reached out to offer a job opportunity.
 
 <figure>
-<img src="/images/posts/2022-07-15-what-open-source-can-do-for-your-data-career/image2.png"  />
-<figcaption></figcaption>
+<img src="/images/posts/2022-07-15-what-open-source-can-do-for-your-data-career/image2.png" alt="From open source contributions to landing a developer advocate job" title="From open source contributions to landing your dream developer advocate job" loading="lazy" style="max-width: 100%; height: auto; border: 1px solid #ddd; border-radius: 4px;" width="auto" height="auto" />
+<figcaption>From contributing in public to showcasing a portfolio that lands interviews</figcaption>
 </figure>
 
 ## How to get started in NLP

_posts/2025-08-16-ultimate-list-of-20-free-online-courses-on-machine-learning.md

@@ -10,6 +10,7 @@ tags:
 - mlzoomcamp
 - course
 title: '20+ Best Free Machine Learning Courses: Learn from Stanford, MIT and Google Without Paying Tuition'
+h1: "20+ Best Free Machine Learning Courses"
 date: 2025-10-21
 ---
 

articles.md

@@ -12,7 +12,7 @@ layout: page
 <ul>
 {% for post in site.posts %}
   <li>
-    <a href="{{ post.url }}">{{ post.title }}</a> by
+    <a href="{{ post.url }}">{{ post.h1 | default: post.title  }}</a> by
     {% for a in post.authors %}
       {% assign author = site.people | where: "short", a | first %}
       <a href="/people/{{a}}.html">{{ author.title }}</a>{% unless forloop.last %}, {% endunless %}