Beginning Mathematica and Wolfram for Data Science
by Jalil Villalobos Alva
Enhance your data science programming and analysis with the Wolfram programming language and Mathematica, an applied mathematical tools suite. The book will introduce you to the Wolfram programming language and its syntax, as well as the structure of Mathematica and its advantages and disadvantages.You'll see how to use the Wolfram language for data science from a theoretical and practical perspective....
Price: $36.17 | Publisher: Apress | Release: 2021
Data Science at the Command Line, 2nd Edition 
by Jeroen Janssens
This thoroughly revised guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You'll learn how to combine small yet powerful command-line tools to quickly obtain, scrub, explore, and model your data. To get you started, author Jeroen Janssens provides a Docker image packed with over 100 Unix power tools-useful whether you work wit...
Price: $54.85 | Publisher: O'Reilly Media | Release: 2021
by Leonard Apeltsin
A data science project has a lot of moving parts, and it takes practice and skill to get all the code, algorithms, datasets, formats, and visualizations working together harmoniously. This unique book guides you through five realistic projects, including tracking disease outbreaks from news headlines, analyzing social networks, and finding relevant patterns in ad click data.Data Science Bookcamp doesn'...
Price: $47.64 | Publisher: Manning | Release: 2021
by Jike Chong, Yue Cathy Chang
How to Lead in Data Science is full of techniques for leading data science at every seniority level - from heading up a single project to overseeing a whole company's data strategy. Authors Jike Chong and Yue Cathy Chang share hard-won advice that they've developed building data teams for LinkedIn, Acorns, Yiren Digital, large asset-management firms, Fortune 50 companies, and more. You'll fin...
Price: $43.49 | Publisher: Manning | Release: 2021
Advanced Analytics with Transact-SQL
by Dejan Sarka
Learn about business intelligence (BI) features in T-SQL and how they can help you with data science and analytics efforts without the need to bring in other languages such as R and Python. This book shows you how to compute statistical measures using your existing skills in T-SQL. You will learn how to calculate descriptive statistics, including centers, spreads, skewness, and kurtosis of distributions. Yo...
Price: $32.55 | Publisher: Apress | Release: 2021
by Wee Hyong Tok, Amit Bahree, Senja Filipi
Most data scientists and engineers today rely on quality labeled data to train machine learning models. But building a training set manually is time-consuming and expensive, leaving many companies with unfinished ML projects. There's a more practical approach. In this book, Wee Hyong Tok, Amit Bahree, and Senja Filipi show you how to create products using weakly supervised learning models.You'll l...
Price: $61.93 | Publisher: O'Reilly Media | Release: 2021
by KC Tung
This easy-to-use reference for TensorFlow 2 design patterns in Python will help you make informed decisions for various use cases. Author KC Tung addresses common topics and tasks in enterprise data science and machine learning practices rather than focusing on TensorFlow itself.When and why would you feed training data as using NumPy or a streaming dataset? How would you set up cross-validations in the tra...
Price: $22.01 | Publisher: O'Reilly Media | Release: 2021
Python and R for the Modern Data Scientist
by Rick Scavetta, Boyan Angelov
Success in data science depends on the flexible and appropriate use of tools. That includes Python and R, two of the foundational programming languages in the field. This book guides data scientists from the Python and R communities along the path to becoming bilingual. By recognizing the strengths of both languages, you'll discover new ways to accomplish data science tasks and expand your skill set.Au...
Price: $47.43 | Publisher: O'Reilly Media | Release: 2021
Deep Learning with Python, 2nd Edition
by Francois Chollet
Deep Learning with Python has taught thousands of readers how to put the full capabilities of deep learning into action. This extensively revised second edition introduces deep learning using Python and Keras, and is loaded with insights for both novice and experienced ML practitioners. You'll learn practical techniques that are easy to apply in the real world, and important theory for perfecting neura...
Price: $34.98 | Publisher: Manning | Release: 2021
by Boris Paskhaver
Pandas has rapidly become one of Python's most popular data analysis libraries. In Pandas in Action, a friendly and example-rich introduction, author Boris Paskhaver shows you how to master this versatile tool and take the next steps in your data science career. You'll learn how easy Pandas makes it to efficiently sort, analyze, filter and munge almost any type of data.Data analysis with Python do...
Price: $40.51 | Publisher: Manning | Release: 2021