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Fix broken image link #31

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2 changes: 1 addition & 1 deletion book/docs/Intro.ipynb
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Expand Up @@ -38,7 +38,7 @@
"\n",
"Furthermore, the researcher learns to embrace collaborative platforms like [GitHub](https://github.com/home) as a central hub for sharing code, collaborating with fellow researchers, and contributing to open-source projects. By actively participating in the open-source community, she gains exposure to diverse perspectives, best practices, and cutting-edge developments in geospatial analysis and environmental science. Through collaborative workflows and transparent documentation practices, she fosters a culture of open science and reproducibility, driving innovation and advancing her field of research.\n",
"\n",
"![Example tech stack](https://developmentseed.org/static/07ed8510160803db8f0aab1c1c1a942c/097fa/ml-tooling-cover.jpg)\n",
"![Example tech stack](https://developmentseed.org/static/07ed8510160803db8f0aab1c1c1a942c/e0a47/ml-tooling-cover.webp)\n",
"\"Machine Learning (ML) Tooling Stack\" from the [Our ML Tooling 2022 by Development Seed](https://developmentseed.org/blog/2022-09-27-ml-tooling).\n",
"\n",
"**Time constraints**: In academia, research projects often unfold over extended timelines, allowing for in-depth exploration and experimentation. However, within industry, projects are driven by partner requirements, deadlines, and rapid iteration cycles. The researcher must adjust workflow management strategies to meet the accelerated pace of industry innovation, adopting agile methodologies and iterative development approaches to drive progress and deliver results efficiently.\n",
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