Description: Further DetailsTitle: Low-Code AICondition: NewSubtitle: A Practical Project-Driven Introduction to Machine LearningEAN: 9781098146825ISBN: 9781098146825Publisher: O'Reilly MediaFormat: PaperbackRelease Date: 09/29/2023Description: 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 presentVisualize and analyze dataPreprocess data for input into a machine learning modelDifferentiate between the regression and classification supervised learning modelsCompare different machine learning model types and architectures, from no code to low-code to custom trainingDesign, implement, and tune ML modelsExport data to a GitHub repository for data management and governanceLanguage: EnglishCountry/Region of Manufacture: USItem Height: 232mmItem Length: 178mmAuthor: Gwendolyne Stripling, Michael AbelGenre: Computing & InternetTopic: Business & FinanceRelease Year: 2023 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
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Book Title: Low-Code AI
Title: Low-Code AI
Subtitle: A Practical Project-Driven Introduction to Machine Learning
EAN: 9781098146825
ISBN: 9781098146825
Release Date: 09/29/2023
Release Year: 2023
Country/Region of Manufacture: US
Genre: Computing & Internet
Topic: Business & Finance
Number of Pages: 325 Pages
Language: English
Publication Name: Low-Code Ai : a Practical Project-Driven Introduction to Machine Learning
Publisher: O'reilly Media, Incorporated
Subject: Machine Theory, Programming / Algorithms, Enterprise Applications / Business Intelligence Tools, Intelligence (Ai) & Semantics, Data Processing
Publication Year: 2023
Item Height: 0.7 in
Item Weight: 19.9 Oz
Type: Textbook
Subject Area: Computers
Item Length: 9.2 in
Author: Michael Abel, Gwendolyn Stripling
Item Width: 7.2 in
Format: Trade Paperback
