
Sculpting Data for ML
The first act of Machine Learning
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About this listen
What's Inside?
- Significance of data in Machine Learning
- Identification of relevant data signals
- End-to-end process of data collection and dataset construction
- Overview of extraction tools like BeautifulSoup and Selenium
- Step-by-step guide with Python code examples of real-world use cases
- Synopsis of Data Preprocessing and Feature Engineering techniques
- Introduction to Machine Learning paradigms from a data perspective
This book is for Machine Learning researchers, practitioners, or enthusiasts who want to tackle the data availability challenges to address real-world problems.
The authors Jigyasa Grover & Rishabh Misra are Machine Learning Engineers by profession and are passionate about tackling real-world problems leveraging their data curation and ML expertise.
The book is endorsed by leading ML experts from both academia and industry. It has forewords by: - Julian McAuley, Associate Professor at University of California San Diego
- Laurence Moroney, Lead Artificial Intelligence Advocate at Google
- Mengting Wan, Senior Applied Scientist at Microsoft
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