@@ -93,12 +93,12 @@ import Layout from '../../layouts/Layout.astro';
9393 simultaneously.
9494 </p >
9595 <p >
96- For the entire organization: ML became a cultural primitive—"in the air" as a
97- way of thinking about problems, even for people who had never (and would never)
96+ < strong > For the entire organization</ strong > : ML became a cultural primitive—an idea "in the air",
97+ as a way of thinking about problems, even for people who had never (and would never)
9898 write an ML algorithm.
9999 </p >
100100 <p >
101- For the engineering organization: Product managers, UX designers, writers,
101+ < strong > For the engineering organization</ strong > : Product managers, UX designers, writers,
102102 and engineers could have informed conversations about when ML was appropriate,
103103 asking questions like:
104104 </p >
@@ -110,7 +110,7 @@ import Layout from '../../layouts/Layout.astro';
110110 <li >Is there a simpler, mechanical solution?</li >
111111 </ul >
112112 <p >
113- For engineers specifically: Hands-on capability to implement ML systems,
113+ < strong > For engineers specifically</ strong > : Hands-on capability to implement ML systems,
114114 including the mindset shift from "I have an algorithm that transforms data"
115115 to "I can collect data that trains an algorithm."
116116 </p >
@@ -120,8 +120,9 @@ import Layout from '../../layouts/Layout.astro';
120120 and non-technical audiences on strategic thinking.
121121 </p >
122122 <p >
123- The results: We trained more than 40% of Googlers and made the course
124- publicly available, where it reached over 4 million people per year worldwide.
123+ The results: We trained more than 40% of Googlers and made the
124+ <a href =" https://developers.google.com/machine-learning" >Machine Learning Crash
125+ Course</a > publicly available, where it reached over 4 million people per year worldwide.
125126 </p >
126127 </div >
127128 </section >
@@ -132,16 +133,16 @@ import Layout from '../../layouts/Layout.astro';
132133 <div class =" story-section__inner" >
133134 <h2 >How it propagated</h2 >
134135 <p >
135- The measure of cultural transformation isn't course completion— it's behavior
136+ The measure of cultural transformation isn't course completion, it's behavior
136137 change. Internally, we tracked ML pipeline creation through to production:
137- were engineers actually building ML systems, not just learning about them?
138+ were engineers actually building ML systems, or just learning about them?
138139 The trend was positive, and small ML-based features began appearing across
139140 most Google products—not as flagship launches, but as quiet evidence that the
140141 mindset shift had taken hold.
141142 </p >
142143 <p >
143144 The content was strong enough that its value became obvious beyond Google. We
144- made MLCC publicly available, where it reached over 4 million people per year
145+ made the MLCC publicly available, where it reached over 4 million people per year,
145146 worldwide. Google Cloud recognized a commercial opportunity: bringing select,
146147 high-value customers on-site to receive the same training Googlers received,
147148 building ML systems alongside Google engineers. Training became a cornerstone
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