This book explores how visualization provides an effective way of improving not only the interpretability but also the generalization capabilities of machine learning models.
This book presents a state-of-the-art review of current perspectives in information systems security in view of the information society of the 21st century.
Get to grips with the fundamental concepts of data engineering, and solve mock interview questions while building a strong resume and a personal brand to attract the right employersKey FeaturesDevelop your own brand, projects, and portfolio with expert help to stand out in the interview roundGet a quick refresher on core data engineering topics, such as Python, SQL, ETL, and data modelingPractice with 50 mock questions on SQL, Python, and more to ace the behavioral and technical roundsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionPreparing for a data engineering interview can often get overwhelming due to the abundance of tools and technologies, leaving you struggling to prioritize which ones to focus on.
Learn the fundamental aspects of the business statistics, data mining, and machine learning techniques required to understand the huge amount of data generated by your organization.
If you use SQL in your day-to-day work as a data analyst, data scientist, or data engineer, this popular pocket guide is your ideal on-the-job reference.
If you use SQL in your day-to-day work as a data analyst, data scientist, or data engineer, this popular pocket guide is your ideal on-the-job reference.
For programmers, analysts, and database administrators, this Nutshell guide is the essential reference for the SQL language used in today's most popular database products.
For programmers, analysts, and database administrators, this Nutshell guide is the essential reference for the SQL language used in today's most popular database products.
While many companies ponder implementation details such as distributed processing engines and algorithms for data analysis, this practical book takes a much wider view of big data development, starting with initial planning and moving diligently toward execution.
While many companies ponder implementation details such as distributed processing engines and algorithms for data analysis, this practical book takes a much wider view of big data development, starting with initial planning and moving diligently toward execution.
Type inheritance is that phenomenon according to which we can say, for example, that every square is also a rectangle, and so properties that apply to rectangles in general apply to squares in particular.
Type inheritance is that phenomenon according to which we can say, for example, that every square is also a rectangle, and so properties that apply to rectangles in general apply to squares in particular.
Theres growing interest in learning how to analyze streaming data in large-scale systems such as web traffic, financial transactions, machine logs, industrial sensors, and many others.
