Low-Code AI: A Practical Project-Driven Introduction to Machine Learning. Gwendolyn Stripling, Michael Abel
Low-Code-AI-A-Practical-Project.pdf
ISBN: 9781098146825 | 350 pages | 9 Mb
- Low-Code AI: A Practical Project-Driven Introduction to Machine Learning
- Gwendolyn Stripling, Michael Abel
- Page: 350
- Format: pdf, ePub, fb2, mobi
- ISBN: 9781098146825
- Publisher: O'Reilly Media, Incorporated
New ebooks download free Low-Code AI: A Practical Project-Driven Introduction to Machine Learning by Gwendolyn Stripling, Michael Abel 9781098146825 in English
Take a data-first and use-case driven approach to understanding machine learning and deep learning concepts with Low-Code AI. This hands-on guide presents three problem-focused ways to learn ML: no code using AutoML, low-code using BigQuery ML, and custom code using scikit-learn and Keras. You'll learn key ML concepts by using real-world datasets with realistic problems. Business and data analysts get a project-based introduction to ML/AI using a detailed, data-driven approach: loading and analyzing data, feeding data into an ML model; building, training, and testing; and deploying the model into production. Authors Michael Abel and Gwendolyn Stripling show you how to build machine learning models for retail, healthcare, financial services, energy, and telecommunications. You'll learn how to: Distinguish structured and unstructured data and understand the different challenges they present Visualize and analyze data Preprocess data for input into a machine learning model Differentiate between the regression and classification supervised learning models Compare different machine learning model types and architectures, from no code to low-code to custom training Design, implement, and tune ML models Export data to a GitHub repository for data management and governance
Low-Code AI
eBook Description: Low-Code AI: A Practical Project-Driven Introduction to Machine Learning Take a data-first and use-case driven approach with Low-Code AI
Machine learning
Machine learning (ML) is an umbrella term for solving problems for which development of algorithms by human programmers would be cost-prohibitive,
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Low-Code AI: A Practical Project Driven Approach to Machine Learning”. They are also the author of the LinkedIn Learning video “Introduction to Neural Networks”
Low-Code AI: A Practical Project-Driven Introduction to
Low-Code AI: A Practical Project-Driven Introduction to Machine Learning. 30 सितंबर 2023. आईएसबीएन -13: 978-1098146825 ISBN-10: 1098146824. Low
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Low-Code AI: A Practical Project-Driven Introduction to
Take a data-first and use-case–driven approach with Low-Code AI to understand machine learning and deep learning concepts. This hands-on guide
Low-Code AI: A Practical Project-Driven Introduction to
Cumpara Low-Code AI: A Practical Project-Driven Introduction to Machine Learning - Gwendolyn Stripling pe Libris. Transport gratuit >135 lei si livrare
Low-Code AI eBook : Stripling, Gwendolyn, Abel, Michael
Low-Code AI: A Practical Project-Driven Introduction to Machine Learning. From the
Low-Code AI by Gwendolyn Stripling, Michael Abel | eBook
Take a data-first and use-case–driven approach with Low-Code AI to understand machine learning and deep learning concepts. This hands-on.
The best-selling new & future releases in Machine Theory
Low-Code AI: A Practical Project-Driven Introduction to Machine Learning. 1 offer
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