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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
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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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
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!