Artificial Intelligence in Finance 
by Yves Hilpisch
The widespread adoption of AI and machine learning is revolutionizing many industries today. Once these technologies are combined with the programmatic availability of historical and real-time financial data, the financial industry will also change fundamentally. With this practical book, you'll learn how to use AI and machine learning to discover statistical inefficiencies in financial markets and exp...
Price: $39.00 | Publisher: O'Reilly Media | Release: 2020
Practical Synthetic Data Generation
by Khaled El Emam, Lucy Mosquera, Richard Hoptroff
Building and testing machine learning models requires access to large and diverse data. But where can you find usable datasets without running into privacy issues? This practical book introduces techniques for generating synthetic data - fake data generated from real data - so you can perform secondary analysis to do research, understand customer behaviors, develop new products, or generate new revenue.Data...
Price: $59.99 | Publisher: O'Reilly Media | Release: 2020
Practical Statistics for Data Scientists, 2nd Edition
by Peter Bruce, Andrew Bruce, Peter Gedeck
Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this popular guide adds comprehensive examples in Python, provides practical guidance on applying statistical methods to data science, tells you how to avoid their misuse, and gives yo...
Price: $31.00 | Publisher: O'Reilly Media | Release: 2020
Practical AI on the Google Cloud Platform
by Micheal Lanham
Working with AI is complicated and expensive for many developers. That's why cloud providers have stepped in to make it easier, offering free (or affordable) state-of-the-art models and training tools to get you started. With this book, you'll learn how to use Google's AI-powered cloud services to do everything from creating a chatbot to analyzing text, images, and video.Author Micheal Lanham...
Price: $44.26 | Publisher: O'Reilly Media | Release: 2020
by Jean-Georges Perrin
The Spark distributed data processing platform provides an easy-to-implement tool for ingesting, streaming, and processing data from any source. In Spark in Action, 2nd Edition, you'll learn to take advantage of Spark's core features and incredible processing speed, with applications including real-time computation, delayed evaluation, and machine learning. Spark skills are a hot commodity in ente...
Price: $35.89 | Publisher: Manning | Release: 2020
by Peter Elger, Eoin Shanaghy
Companies everywhere are moving everyday business processes over to the cloud, and AI is increasingly being given the reins in these tasks. As this massive digital transformation continues, the combination of serverless computing and AI promises to become the de facto standard for business-to-consumer platform development - and developers who can design, develop, implement, and maintain these systems will b...
Price: $39.99 | Publisher: Manning | Release: 2020
Mastering Large Datasets with Python
by John T. Wolohan
Modern data science solutions need to be clean, easy to read, and scalable. In Mastering Large Datasets with Python, author J.T. Wolohan teaches you how to take a small project and scale it up using a functionally influenced approach to Python coding. You'll explore methods and built-in Python tools that lend themselves to clarity and scalability, like the high-performing parallelism method, as well as...
Price: $39.99 | Publisher: Manning | Release: 2020
by Christian Mayer
Python One-Liners will teach you how to read and write "one-liners": concise statements of useful functionality packed into a single line of code. You'll learn how to systematically unpack and understand any line of Python code, and write eloquent, powerfully compressed Python like an expert.The book's five chapters cover tips and tricks, regular expressions, machine learning, core data ...
Price: $39.95 | Publisher: No Starch Press | Release: 2020
Python Automation Cookbook, 2nd Edition
by Jaime Buelta
In this updated and extended version of Python Automation Cookbook, each chapter now comprises the newest recipes and is revised to align with Python 3.8 and higher. The book includes three new chapters that focus on using Python for test automation, machine learning projects, and for working with messy data.This edition will enable you to develop a sharp understanding of the fundamentals required to automa...
Price: $39.99 | Publisher: Packt Publishing | Release: 2020
The Economics of Data, Analytics, and Digital Transformation
by Bill Schmarzo
In today's digital era, every organization has data, but just possessing enormous amounts of data is not a sufficient market discriminator. The Economics of Data, Analytics, and Digital Transformation aims to provide actionable insights into the real market discriminators, including an organization's data-fueled analytics products that inspire innovation, deliver insights, help make practical deci...
Price: $29.99 | Publisher: Packt Publishing | Release: 2020