Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists by Alice Zheng, Amanda Casari

Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists



Download Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists

Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists Alice Zheng, Amanda Casari ebook
Publisher: O'Reilly Media, Incorporated
Page: 214
ISBN: 9781491953242
Format: pdf


Knowledgeable with Data Science tools and frameworks (i.e. Click here for the lowest price! Basic knowledge of machine learning techniques (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark). Classification, regression, and clustering). T … Author Alice Zheng explains common practices and mathematical principles to help engineer features for new data and tasks. ) Knowledge of data query and data processing tools (i.e. Paperback, 9781491953242, 1491953241. Feature Engineering for Machine Learning Models: Principles and Techniquesfor Data Scientists by Alice Zheng. Click to see the FREE shipping offers and dollar off coupons we found with our CheapestTextbooks.com price comparison for Feature Engineering for MachineLearning Principles and Techniques for Data Scientists, 9781491953242, 1491953241. Understand machine learning principles (training, validation, etc. Scopri Feature Engineering for Machine Learning: Principles and Techniques forData Scientists di Alice Zheng, Amanda Casari: spedizione gratuita per i clienti Prime e per ordini a partire da 29€ spediti da Amazon. Feature engineering is essential to applied machine learning, but using domain knowledge to strengthen your predictive models can be difficult and expensive. Basic knowledge ofmachine learning techniques (i.e.



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