Developing Inclusive Mobile Apps 
by Rob Whitaker
By failing to consider those with needs different to ourselves, we are telling these people they are not welcome in our app, and therefore that technology as a whole, is not for them. This is not hyperbole - 23% of people in the US with a registered disability aren't online at all, that's three times more likely than the general population. When asked why they're not online, disabled responde...
Price: $29.75 | Publisher: Apress | Release: 2020
Machine Learning in the Oil and Gas Industry 
by Yogendra Narayan Pandey, Ayush Rastogi, Sribharath Kainkaryam, Srimoyee Bhattacharya, Luigi Saputelli
Apply machine and deep learning to solve some of the challenges in the oil and gas industry. The book begins with a brief discussion of the oil and gas exploration and production life cycle in the context of data flow through the different stages of industry operations. This leads to a survey of some interesting problems, which are good candidates for applying machine and deep learning approaches. The initi...
Price: $29.86 | Publisher: Apress | Release: 2020
by Michael Paluszek, Stephanie Thomas
Learn from state-of-the-art examples in robotics, motors, detection filters, chemical processes, aircraft, and spacecraft. With this book you will review contemporary MATLAB coding including the latest MATLAB language features and use MATLAB as a software development environment including code organization, GUI development, and algorithm design and testing.Features now covered include the new graph and digr...
Price: $44.99 | Publisher: Apress | Release: 2020
by Geraldine A. Van der Auwera, Brian D. O'Connor
Data in the genomics field is booming. In just a few years, organizations such as the National Institutes of Health (NIH) will host 50+ petabytes - or over 50 million gigabytes - of genomic data, and they're turning to cloud infrastructure to make that data available to the research community. How do you adapt analysis tools and protocols to access and analyze that volume of data in the cloud?With this...
Price: $51.99 | Publisher: O'Reilly Media | Release: 2020
Deep Learning for Coders with fastai and PyTorch
by Jeremy Howard, Sylvain Gugger
Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications...
Price: $45.49 | 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
Deep Reinforcement Learning in Action
by Alexander Zai, Brandon Brown
Humans learn best from feedback - we are encouraged to take actions that lead to positive results while deterred by decisions with negative consequences. This reinforcement process can be applied to computer programs allowing them to solve more complex problems that classical programming cannot. Deep Reinforcement Learning in Action teaches you the fundamental concepts and terminology of deep reinforcement ...
Price: $39.99 | Publisher: Manning | Release: 2020
Machine Learning with R, the tidyverse, and mlr
by Hefin I. Rhys
Machine learning (ML) is a collection of programming techniques for discovering relationships in data. With ML algorithms, you can cluster and classify data for tasks like making recommendations or fraud detection and make predictions for sales trends, risk analysis, and other forecasts. Once the domain of academic data scientists, machine learning has become a mainstream business process, and tools like th...
Price: $39.99 | Publisher: Manning | Release: 2020
by Ken Youens-Clark
A long journey is really a lot of little steps. The same is true when you're learning Python, so you may as well have some fun along the way! Written in a lighthearted style with entertaining exercises that build powerful skills, Tiny Python Projects takes you from amateur to Pythonista as you create 22 bitesize programs. Each tiny project teaches you a new programming concept, from the basics of lists...
Price: $19.99 | Publisher: Manning | Release: 2020
by Paolo Perrotta
Peel away the obscurities of machine learning, starting from scratch and going all the way to deep learning. Machine learning can be intimidating, with its reliance on math and algorithms that most programmers don't encounter in their regular work. Take a hands-on approach, writing the Python code yourself, without any libraries to obscure what's really going on. Iterate on your design, and add la...
Price: $39.99 | Publisher: The Pragmatic Programmers | Release: 2020