by Panos Alexopoulos
What value does semantic data modeling offer? As an information architect or data science professional, let's say you have an abundance of the right data and the technology to extract business gold - but you still fail. The reason? Bad data semantics.In this practical and comprehensive field guide, author Panos Alexopoulos takes you on an eye-opening journey through semantic data modeling as applied in...
Price: $56.99 | Publisher: O'Reilly Media | Release: 2020
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
Analytical Skills for AI and Data Science
by Daniel Vaughan
While several market-leading companies have successfully transformed their business models by following data- and AI-driven paths, the vast majority have yet to reap the benefits. How can your business and analytics units gain a competitive advantage by capturing the full potential of this predictive revolution? This practical guide presents a battle-tested end-to-end method to help you translate business d...
Price: $51.99 | 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
by Sandeep Uttamchandani
Data-driven insights are a key competitive advantage for any industry today, but deriving insights from raw data can still take days or weeks. Most organizations can't scale data science teams fast enough to keep up with the growing amounts of data to transform. What's the answer? Self-service data.With this practical book, data engineers, data scientists, and team managers will learn how to build...
Price: $48.49 | 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
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 Veljko Krunic
Companies small and large are initiating AI projects, investing vast sums of money on software, developers, and data scientists. Too often, these AI projects focus on technology at the expense of actionable or tangible business results, resulting in scattershot results and wasted investment. Succeeding with AI sets out a blueprint for AI projects to ensure they are predictable, successful, and profitable. I...
Price: $36.99 | 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
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