Learning to Jump
Translating biological graduate trainings to data and AI-driven mindset for the businesses
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Learning to Jump: Translating biological graduate trainings to data and AI-driven mindset for the businesses is about key insights to make the leap into the business world while leveraging analytic and critical thinking skills from graduate school. Whether you are early in graduate studies or in the middle of postdoctoral research, this book can be an introductory bridge to making that jump. This book is titled "Learning to Jump" because it is about machine learning and data science, and also discusses making the leap from graduate trainings in biology to the data science industry. Similar to ...
Learning to Jump: Translating biological graduate trainings to data and AI-driven mindset for the businesses is about key insights to make the leap into the business world while leveraging analytic and critical thinking skills from graduate school. Whether you are early in graduate studies or in the middle of postdoctoral research, this book can be an introductory bridge to making that jump. This book is titled "Learning to Jump" because it is about machine learning and data science, and also discusses making the leap from graduate trainings in biology to the data science industry. Similar to how proteins "jump" and interact in different ways (e.g., transcriptional factor binding is different from protein-protein interactions in a complex), jump here hints at various paths that an individual can take for transition. With this book, you will be able to take the next intelligent jump in your career journey to transition from Ph.D. work in biological sciences to data science!
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