Python for Data Science. Based on my limited knowledge/experience, both R and Python are great languages and are worth learning; so why not learn them together? Besides the side-by-side comparison of the two popular languages used in Data Science, this book also focuses on the translation ...
SIAM is delighted to announce anew book serieson Data Science. Books in the series will address state-of-the-art research on the mathematical foundations of data science and provide insight into the intuition behind its spectacular success. Ranging from monographs, in-depth essays on emerging trend...
Julia Data Science You can read the full book onhttps://juliadatascience.io. This book was once available on Amazon, but due to an absurd reason, our publishing account was terminated, and our book was removed. Interestingly, all Amazon customer accounts remain functional. It seems that our...
Book chapterNo access Basic Numerical Data Pages 102-105 Purchase View chapter About the book Description The Odd Book of Data focuses on the principles of nature, science, astronomy, physics, economy, and education. The book first offers information on the universe, earth, and physics. Topics ...
:book: 每一个伟大的思想和行动都有一个微不足道的开始. Contribute to wizardforcel/data-science-notebook development by creating an account on GitHub.
We generate a unique country-level dataset combining ‘online’ indicators of Facebook users by gender, age and device type, ‘offline’ indicators related to a country’s overall development and gender-specific development indicators, and official data on gender gaps in internet and mobile access ...
Data Science Book About Dataset This dataset contain information on Data Science books listed on Amazon website. I have used this data to complete an exploratory data analysis from the year of 2015 through 2022. The columns listed in the dataset are:...
Deciding thedata typeof the variables may not be trivial. A categorical variablecould benumerical and viceversa, depending on the context, the data, and the algorithm itself (some of which only handle one data type). The conversion also has its own implications inhow the model sees the varia...
Springer Series in the Data Sciences focuses primarily on monographs and graduate level textbooks. The target audience includes students and researchers working in and across the fields of mathematics, theoretical computer science, and statistics. Data Analysis and ...
Fighting Churn with Datais the the book byCarl Gold, PhD. The book is based on his experiences asChief Data ScientistatZuora(NYSE: ZUO) using data science techniques to reduce churn in subscription services. Churn is the bane of subscription products and channels. Data Scientists, machine learn...