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  • 1
    Online Resource
    Online Resource
    Letters to a New Developer : What I Wish I Had Known When Starting My Development Career (2020)
    [Erscheinungsort nicht ermittelbar] : Apress | Boston, MA : Safari
    Details
    ISBN: 9781484260746
    Language: English
    Pages: 1 online resource (220 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Learn what you need to succeed as a developer beyond the code. The lessons in this book will supercharge your career by sharing lessons and mistakes from real developers. Wouldn’t it be nice to learn from others’ career mistakes? “Soft” skills are crucial to success, but are haphazardly picked up on the job or, worse, never learned. Understanding these competencies and how to improve them will make you a more effective team member and a more attractive hire. This book will teach you the key skills you need, including how to ask questions, how and when to use common tools, and how to interact with other team members. Each will be presented in context and from multiple perspectives so you’ll be able to integrate them and apply them to your own career quickly. What You'll Learn Know when the best code is no code Understand what to do in the first month of your job See the surprising number of developers who can’t program Avoid the pitfalls of working alone Who This Book Is For Anyone who is curious about software development as a career choice. You have zero to five years of software development experience and want to learn non-technical skills that can help your career. It is also suitable for teachers and mentors who want to provide guidance to their students and/or mentees.
    Note: Online resource; Title from title page (viewed August 6, 2020) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 2
    Online Resource
    Online Resource
    Introduction to Amazon machine learning : learn how to build data driven predictive applications with Amazon Web Services (AWS) (2017)
    [Place of publication not identified] : O'Reilly
    Details
    ISBN: 9781491991138
    Language: English
    Pages: 1 online resource (1 streaming video file (1 hr., 47 min., 25 sec.)) , digital, sound, color
    Keywords: Amazon Web Services (Firm) ; Machine learning ; Cloud computing ; Big data ; Electronic videos ; local
    Abstract: "This course shows you how to build a model using Amazon Machine Learning (Amazon ML) and use it to make predictions. AWS expert Dan Moore covers the basic types of machine learning, how to prepare your data, and how to make your data available to the Amazon Machine Learning processes. You'll also learn about evaluating a model for accuracy, using it both for batch and real-time predictions, and using tags to manage environments. Designed for developers and technical marketers new to machine learning and for data scientists interested in using the AWS Amazon ML platform, the course provides hands-on experience building a working predictive model using real data. Learners should obtain an AWS account (free from Amazon) and a basic understanding of AWS concepts before beginning the course."--Resource description page.
    Note: Title from title screen (viewed July 31, 2017). - Date of publication from resource description page
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
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