A recurring illness. A lost hope. A pressing desire to go alone. Since her illness came back, Axel Rose Espinoza had lost the will to live. She tried hard to convince herself that she could leave this world without needing anyone by her side. The prospect of her untimely death weighed heavily on her heart, causing her to push everyone away, especially those who loved her or had come to love her. Will their desperate hopes convince her to stay, or will she continue to succumb to the inevitable?
Data Science for Software Engineering: Sharing Data and Models presents guidance and procedures for reusing data and models between projects to produce results that are useful and relevant. Starting with a background section of practical lessons and warnings for beginner data scientists for software engineering, this edited volume proceeds to identify critical questions of contemporary software engineering related to data and models. Learn how to adapt data from other organizations to local problems, mine privatized data, prune spurious information, simplify complex results, how to update models for new platforms, and more. Chapters share largely applicable experimental results discussed with the blend of practitioner focused domain expertise, with commentary that highlights the methods that are most useful, and applicable to the widest range of projects. Each chapter is written by a prominent expert and offers a state-of-the-art solution to an identified problem facing data scientists in software engineering. Throughout, the editors share best practices collected from their experience training software engineering students and practitioners to master data science, and highlight the methods that are most useful, and applicable to the widest range of projects. - Shares the specific experience of leading researchers and techniques developed to handle data problems in the realm of software engineering - Explains how to start a project of data science for software engineering as well as how to identify and avoid likely pitfalls - Provides a wide range of useful qualitative and quantitative principles ranging from very simple to cutting edge research - Addresses current challenges with software engineering data such as lack of local data, access issues due to data privacy, increasing data quality via cleaning of spurious chunks in data
A recurring illness. A lost hope. A pressing desire to go alone. Since her illness came back, Axel Rose Espinoza had lost the will to live. She tried hard to convince herself that she could leave this world without needing anyone by her side. The prospect of her untimely death weighed heavily on her heart, causing her to push everyone away, especially those who loved her or had come to love her. Will their desperate hopes convince her to stay, or will she continue to succumb to the inevitable?
This will help us customize your experience to showcase the most relevant content to your age group
Please select from below
Login
Not registered?
Sign up
Already registered?
Success – Your message will goes here
We'd love to hear from you!
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.