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Productive and Efficient Data Science with Python
With Modularizing, Memory profiles, and Parallel/GPU Processing
Sofort lieferbar | Lieferzeit: Sofort lieferbar I
ISBN-13:
9781484281215
Veröffentl:
2022
Seiten:
383
Autor:
Tirthajyoti Sarkar
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
1 - PDF Watermark
Sprache:
Englisch
Beschreibung:
In the end, you'll understand and perform data science and machine learning tasks beyond the traditional methods and utilize the full spectrum of the Python data science ecosystem to increase productivity.
Chapter 1: What is Productive and Efficient Data Science.- Chapter 2: Better Programming Principles for Efficient Data Science.- Chapter 3: How to Use Python Data Science Packages more Productively.- Chapter 4: Writing Machine Learning Code More Productively.- Chapter 5: Modular and Productive Deep Learning Code.- Chapter 6: Build Your Own Machine Learning Estimator/Package.- Chapter 7: Some Cool Utility Packages.- Chapter 8: Testing the Machine Learning Code.- Chapter 9: Memory and Timing Profiling.- Chapter 10: Scalable Data Science.- Chapter 11: Parallelized Data Science.- Chapter 12: GPU-Based Data Science for High Productivity.- Chapter 13: Other Useful Skills to Master.- Chapter 14: Wrapping It Up.
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