SC - 1333 | Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning

Benjamin Bengfort, Tony Ojeda, Rebecca Bilbro

From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural language is through the creative application of text analytics. This practical book presents a data scientist’s approach to building language-aware products with applied machine learning.

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SC - 1332 | Python Data Analytics: With Pandas, NumPy, and Matplotlib

Fabio Nelli

Explore the latest Python tools and techniques to help you tackle the world of data acquisition and analysis. You'll review scientific computing with NumPy, visualization with matplotlib, and machine learning with scikit-learn.

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SC - 1331 | Machine Learning For Dummies

John Paul Mueller, Luca Massaron

Machine learning can be a mind-boggling concept for the masses, but those who are in the trenches of computer programming know just how invaluable it is. Without machine learning, fraud detection, web search results, real-time ads on web pages, credit scoring, automation, and email spam filtering wouldnt be possible, and this is only showcasing just a few of its capabilities. Written by two data science experts, Machine Learning For Dummies offers a much-needed entry point for anyone looking to use machine learning to accomplish practical tasks.

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SC - 1330 | Grokking Deep Learning

Andrew W. Trask

Artificial Intelligence is the most exciting technology of the century, and Deep Learning is, quite literally, the "brain" behind the world's smartest Artificial Intelligence systems out there.

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SC - 1329 | Practical Computer Vision Applications Using Deep Learning with CNNs: With Detailed Examples in Python Using TensorFlow and Kivy

Ahmed Fawzy Gad

Deploy deep learning applications into production across multiple platforms. You will work on computer vision applications that use the convolutional neural network (CNN) deep learning model and Python. This book starts by explaining the traditional machine-learning pipeline, where you will analyze an image dataset. Along the way you will cover artificial neural networks (ANNs), building one from scratch in Python, before optimizing it using genetic algorithms.

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SC - 1328 | Advanced Penetration Testing. Hacking the World’s Most Secure Networks

Wil Allsopp

Build a better defense against motivated, organized, professional attacks.

Advanced Penetration Testing: Hacking the World's Most Secure Networks takes hacking far beyond Kali Linux and Metasploit to provide a more complex attack simulation.
Featuring techniques not taught in any certification prep or covered by common defensive scanners, this book integrates social engineering, programming, and vulnerability exploits into a multidisciplinary approach for targeting and compromising high security environments.

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SC - 1327 | Machine Learning Applications Using Python: Cases Studies from Healthcare, Retail, and Finance

Puneet Mathur

Gain practical skills in machine learning for finance, healthcare, and retail. This book uses a hands-on approach by providing case studies from each of these domains: you’ll see examples that demonstrate how to use machine learning as a tool for business enhancement. As a domain expert, you will not only discover how machine learning is used in finance, healthcare, and retail, but also work through practical case studies where machine learning has been implemented.

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SC - 1326 | Artificial Intelligence: With an Introduction to Machine Learning

Richard E. Neapolitan, Xia Jiang

The first edition of this popular textbook, Contemporary Artificial Intelligence, provided an accessible and student friendly introduction to AI. This fully revised and expanded update, Artificial Intelligence: With an Introduction to Machine Learning, Second Edition, retains the same accessibility and problem-solving approach, while providing new material and methods.

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SC - 1325 | Playing Smart: On Games, Intelligence, and Artificial Intelligence

Julian Togelius

A new vision of the future of games and game design, enabled by AI.Can games measure intelligence? How will artificial intelligence inform games of the future? In Playing Smart, Julian Togelius explores the connections between games and intelligence to offer a new vision of future games and game design. Video games already depend on AI. We use games to test AI algorithms, challenge our thinking, and better understand both natural and artificial intelligence. In the future, Togelius argues, game designers will be able to create smarter games that make us smarter in turn, applying advanced AI to help design games. In this book, he tells us how.

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SC - 1324 | ReCombinatorics: The Algorithmics of Ancestral Recombination Graphs and Explicit Phylogenetic Networks

Dan Gusfield

In this book, Dan Gusfield examines combinatorial algorithms to construct genealogical and exact phylogenetic networks, particularly ancestral recombination graphs (ARGs). The algorithms produce networks (or information about networks) that serve as hypotheses about the true genealogical history of observed biological sequences and can be applied to practical biological problems.

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SC - 1323 | Neural Networks A Visual Introduction for Beginners by Michael Taylor

Michael Taylor

A step-by-step visual journey through the mathematics of neural networks, and making your own using Python and Tensorflow.

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SC - 1322 | Thoughtful Machine Learning with Python: A Test-Driven Approach

Matthew Kirk

Gain the confidence you need to apply machine learning in your daily work. With this practical guide, author Matthew Kirk shows you how to integrate and test machine learning algorithms in your code, without the academic subtext.

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SC - 1321 | Building Chatbots with Python: Using Natural Language Processing and Machine Learning

Sumit Raj

Build your own chatbot using Python and open source tools. This book begins with an introduction to chatbots where you will gain vital information on their architecture. You will then dive straight into natural language processing with the natural language toolkit (NLTK) for building a custom language processing platform for your chatbot. With this foundation, you will take a look at different natural language processing techniques so that you can choose the right one for you.

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SC - 1320 | Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning

Chris Albon

This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If you’re comfortable with Python and its libraries, including pandas and scikit-learn, you’ll be able to address specific problems such as loading data, handling text or numerical data, model selection, and dimensionality reduction and many other topics.

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SC - 1314 | Foundations of Quantum Programming

Mingsheng Ying

Foundations of Quantum Programming discusses how new programming methodologies and technologies developed for current computers can be extended to exploit the unique power of quantum computers, which promise dramatic advantages in processing speed over currently available computer systems.

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SC - 1313 | MAC Protocols for Cyber-Physical Systems

Feng Xia, Azizur Rahim (auth.)

This book provides a literature review of various wireless MAC protocols and techniques for achieving real-time and reliable communications in the context of cyber-physical systems (CPS).

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SC - 1312 | Natural Language Processing Recipes: Unlocking Text Data with Machine Learning and Deep Learning using Python

Akshay Kulkarni, Adarsha Shivananda

Implement natural language processing applications with Python using a problem-solution approach. This book has numerous coding exercises that will help you to quickly deploy natural language processing techniques, such as text classification, parts of speech identification, topic modeling, text summarization, text generation, entity extraction, and sentiment analysis.

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SC - 1311 | The Beauty of Mathematics in Computer Science

Jun Wu

The Beauty of Mathematics in Computer Science explains the mathematical fundamentals of information technology products and services we use every day, from Google Web Search to GPS Navigation, and from speech recognition to CDMA mobile services.
The book was published in Chinese in 2011 and has sold more than 600,000 copies.

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SC - 1310 | Cybernetics: From Past to Future

D.A. Novikov

This book is a concise navigator across the history of cybernetics, its state-of-the-art and prospects. The evolution of cybernetics (from N. Wiener to the present day) and the reasons of its ups and downs are presented. The correlation of cybernetics with the philosophy and methodology of control, as well as with system theory and systems analysis is clearly demonstrated.

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SC - 1309 | Beyond Artificial Intelligence: From Human Consciousness to Artificial Consciousness

Alain Cardon

This book will present a complete modeling of the human psychic system that allows to generate the thoughts in a strictly organizational approach that mixes a rising and falling approach. The model will present the architecture of the psychic system that can generate sensations and thoughts, showing how one can feel thoughts.

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