Numerical Methods Using Kotlin
by Haksun Li, PhD
This in-depth guide covers a wide range of topics, including chapters on linear algebra, root finding, curve fitting, differentiation and integration, solving differential equations, random numbers and simulation, a whole suite of unconstrained and constrained optimization algorithms, statistics, regression and time series analysis. The mathematical concepts behind the algorithms are clearly explained, with...
Price: $47.99 | Publisher: Apress | Release: 2023
by Katharine Jarmul
Between major privacy regulations like the GDPR and CCPA and expensive and notorious data breaches, there has never been so much pressure to ensure data privacy. Unfortunately, integrating privacy into data systems is still complicated. This essential guide will give you a fundamental understanding of modern privacy building blocks, like differential privacy, federated learning, and encrypted computation. B...
Price: $41.99 | Publisher: O'Reilly Media | Release: 2023
Beginner's Guide to Streamlit with Python
by Sujay Raghavendra
This book will teach you the basics of Streamlit, a Python-based application framework used to build interactive dashboards and machine learning web apps. Streamlit reduces development time for web-based application prototypes of data and machine learning models. As you'll see, Streamlit helps develop data-enhanced analytics, build dynamic user experiences, and showcases data for data science and machi...
Price: $31.25 | Publisher: Apress | Release: 2023
Machine Learning with R, 4th Edition
by Brett Lantz
Machine learning, at its core, is concerned with transforming data into actionable knowledge. R offers a powerful set of machine learning methods to quickly and easily gain insight from your data. Machine Learning with R, Fourth Edition, provides a hands-on, accessible, and readable guide to applying machine learning to real-world problems. Whether you are an experienced R user or new to the language, Brett...
Price: $35.99 | Publisher: Packt Publishing | Release: 2023
Building an Effective Data Science Practice
by Vineet Raina, Srinath Krishnamurthy
Gain a deep understanding of data science and the thought process needed to solve problems in that field using the required techniques, technologies and skills that go into forming an interdisciplinary team. This book will enable you to set up an effective team of engineers, data scientists, analysts, and other stakeholders that can collaborate effectively on crucial aspects such as problem formulation, exe...
Price: $44.99 | Publisher: Apress | Release: 2022
Productive and Efficient Data Science with Python
by Tirthajyoti Sarkar
This book focuses on the Python-based tools and techniques to help you become highly productive at all aspects of typical data science stacks such as statistical analysis, visualization, model selection, and feature engineering.You'll review the inefficiencies and bottlenecks lurking in the daily business process and solve them with practical solutions. Automation of repetitive data science tasks is a ...
Price: $49.99 | Publisher: Apress | Release: 2022
Essential Math for Data Science 
by Thomas Nield
Master the math needed to excel in data science, machine learning, and statistics. In this book author Thomas Nield guides you through areas like calculus, probability, linear algebra, and statistics and how they apply to techniques like linear regression, logistic regression, and neural networks. Along the way you'll also gain practical insights into the state of data science and how to use those insi...
Price: $44.67 | Publisher: O'Reilly Media | Release: 2022
Data Science on the Google Cloud Platform, 2nd Edition 
by Valliappa Lakshmanan
Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build using Google Cloud Platform (GCP). This hands-on guide shows data engineers and data scientists how to implement an end-to-end data pipeline with cloud native tools on GCP.Throughout this updated second edition, you'll work through a sample business decision by employing a variety ...
Price: $53.26 | Publisher: O'Reilly Media | Release: 2022
Python Data Science Handbook, 2nd Edition
by Jake VanderPlas
Python is a first-class tool for many researchers, primarily because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the new edition of Python Data Science Handbook do you get them all - IPython, NumPy, pandas, Matplotlib, scikit-learn, and other related tools.Working scientists and data crunch...
Price: $56.16 | Publisher: O'Reilly Media | Release: 2022
Beginning Data Science in R 4, 2nd Edition
by Thomas Mailund
Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. Updated for the R 4.0 release, this book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R.Beginning Data Science in R 4, Second Edition details how data science is a combination of st...
Price: $41.88 | Publisher: Apress | Release: 2022