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Practical Artificial Intelligence and Blockchain
Author Ganesh Prasad Kumble , Anantha Krishnan
Learn how to use AI and blockchain to build decentralized intelligent applications (DIApps) that overcome real-world challengesKey FeaturesUnderstand the fundamental concepts for converging artificial intelligence and blockchain Apply your learnings to build apps using m....
Release Date 2020/07 -
Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits
Author Tarek Amr
Integrate scikit-learn with various tools such as NumPy, pandas, imbalanced-learn, and scikit-surprise and use it to solve real-world machine learning problemsKey FeaturesDelve into machine learning with this comprehensive guide to scikit-learn and scientific Python Mast....
Release Date 2020/07 -
The Deep Learning with PyTorch Workshop
Author Hyatt Saleh
Get a head start in the world of AI and deep learning by developing your skills with PyTorchKey FeaturesLearn how to define your own network architecture in deep learning Implement helpful methods to create and train a model using PyTorch syntax Discover how intelligent....
Release Date 2020/07 -
Machine Learning for Algorithmic Trading - Second Edition
Author Stefan Jansen
Leverage machine learning to design and back-test automated trading strategies for real-world markets using pandas, TA-Lib, scikit-learn, LightGBM, SpaCy, Gensim, TensorFlow 2, Zipline, backtrader, Alphalens, and pyfolio.Key FeaturesDesign, train, and evaluate machine lea....
Release Date 2020/07 -
The Machine Learning Workshop - Second Edition
Author Hyatt Saleh
Take a comprehensive and step-by-step approach to understanding machine learningKey FeaturesDiscover how to apply the scikit-learn uniform API in all types of machine learning models Understand the difference between supervised and unsupervised learning models Reinforce....
Release Date 2020/07 -
Author Mirza Rahim Baig , Thomas V. Joseph , Nipun Sadvilkar
Take a hands-on approach to understanding deep learning and build smart applications that can recognize images and interpret textKey FeaturesUnderstand how to implement deep learning with TensorFlow and Keras Learn the fundamentals of computer vision and image recognitio....
Release Date 2020/07 -
Author Errol S. van Engelen
The convergence of blockchain and Internet of things (IoT) powered by data and artificial intelligence (AI) is on the agenda of several big companies and some of them have already started using its implementations, initiatives, and solutions in various projects. In this b....
Release Date 2020/07 -
Artificial Intelligence in Healthcare
Author Adam Bohr , Kaveh Memarzadeh
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in t....
Release Date 2020/06 -
Enterprise Artificial Intelligence Transformation
Author Rashed Haq
Enterprise Artificial Intelligence TransformationAI is everywhere. From doctor's offices to cars and even refrigerators, AI technology is quickly infiltrating our daily lives. AI has the ability to transform simple tasks into technological feats at a human level. This wi....
Release Date 2020/06 -
Author Alexandre Bergel
Cover classical algorithms commonly used as artificial intelligence techniques and program agile artificial intelligence applications using Pharo. This book takes a practical approach by presenting the implementation details to illustrate the numerous concepts it explains....
Release Date 2020/06 -
Ensemble Learning for AI Developers: Learn Bagging, Stacking, and Boosting Methods with Use Cases
Author Alok Kumar , Mayank Jain
Use ensemble learning techniques and models to improve your machine learning results.Ensemble Learning for AI Developers starts you at the beginning with an historical overview and explains key ensemble techniques and why they are needed. You then will learn ho....
Release Date 2020/06 -
Accelerating AI with Synthetic Data
Author Khaled El Emam
Recently, data scientists have found effective methods to generate high-quality synthetic data. That’s good news for companies seeking large amounts of data to train and build artificial intelligence and machine learning models. This report provides an overview of synthet....
Release Date 2020/06 -
Reengineering Patient Care with Artificial Intelligence
Author Paul Cerrato
Gain actionable insights into how machine learning, data analytics, and subgroup analysis can be applied to make clinical decision support (CDS) systems better at diagnosing and treating disease. In this report, Paul Cerrato, former editor of InformationWeek Healthcare, d....
Release Date 2020/06 -
Deep Learning for Computer Vision with SAS
Author Robert Blanchard
Discover deep learning and computer vision with SAS!Deep Learning for Computer Vision with SAS®: An Introduction introduces the pivotal components of deep learning. Readers will gain an in-depth understanding of how to build deep feedforward and convolutional neural netwo....
Release Date 2020/06 -
Neuro-inspired Information Processing
Author Alain Cappy
With the end of Moore's law and the emergence of new application needs such as those of the Internet of Things (IoT) or artificial intelligence (AI), neuro-inspired, or neuromorphic, information processing is attracting more and more attention from the scientific c....
Release Date 2020/06 -
Hands-On Mathematics for Deep Learning
Author Jay Dawani
A comprehensive guide to getting well-versed with the mathematical techniques for building modern deep learning architecturesKey FeaturesUnderstand linear algebra, calculus, gradient algorithms, and other concepts essential for training deep neural networks Learn the mat....
Release Date 2020/06 -
Hands-On Python Natural Language Processing
Author Aman Kedia , Mayank Rasu
Get well-versed with traditional as well as modern natural language processing concepts and techniquesKey FeaturesPerform various NLP tasks to build linguistic applications using Python libraries Understand, analyze, and generate text to provide accurate results Interpr....
Release Date 2020/06 -
Practical Natural Language Processing
Author Harshit Surana , Anuj Gupta , Bodhisattwa Majumder , Sowmya Vajjala
If you want to build, iterate and scale NLP systems in a business setting and to tailor them for various industry verticals, this is your guide. Consider the task of building a chatbot or text classification system at y....
Release Date 2020/05 -
Author Nicolo Valigi , Gianluco Mauro
Zero to AI uses clear examples and jargon-free explanations to show the practical benefits of AI. Each chapter explores a real-world case study demonstrating how companies like Google and Netflix use AI to shape their industries. You begin at the beginning, with a primer ....
Release Date 2020/05 -
Hands-On Machine Learning with C++
Author Kirill Kolodiazhnyi
Implement supervised and unsupervised machine learning algorithms using C++ libraries such as PyTorch C++ API, Caffe2, Shogun, Shark-ML, mlpack, and dlib with the help of real-world examples and datasetsKey FeaturesBecome familiar with data processing, performance measuri....
Release Date 2020/05 -
Hands-On Python Deep Learning for the Web
Author Anubhav Singh , Sayak Paul
Use the power of deep learning with Python to build and deploy intelligent web applicationsKey FeaturesCreate next-generation intelligent web applications using Python libraries such as Flask and Django Implement deep learning algorithms and techniques for performing sma....
Release Date 2020/05 -
Mastering Computer Vision with TensorFlow 2.x
Author Krishnendu Kar
Apply neural network architectures to build state-of-the-art computer vision applications using the Python programming languageKey FeaturesGain a fundamental understanding of advanced computer vision and neural network models in use today Cover tasks such as low-level vi....
Release Date 2020/05 -
Is China Taking the Lead in AI?
Author Jeffrey Ding , Frieda Klotz
Although some observers have compared the rivalry between the United States and China over AI to the Cold War, Oxford researcher Jeffrey Ding says the analogy is flawed. AI is a general-purpose technology that can be applied across many different domains — including nat....
Release Date 2020/04 -
Natural Language Processing with Python and spaCy
Author Yuli Vasiliev
Natural Language Processing with Python and spaCy will show you how to create NLP applications like chatbots, text-condensing scripts, and order-processing tools quickly and easily. You’ll learn how to leverage the spaCy library to extract meaning from text intelligently;....
Release Date 2020/04 -
Artificial Intelligence for Business
Author Jason L. Anderson , Jeffrey L. Coveyduc
Artificial Intelligence for Business: A Roadmap for Getting Started with AI will provide the reader with an easy to understand roadmap for how to take an organization through the adoption of AI technology. It will first help with the identification of which business probl....
Release Date 2020/04 -
Author Rob Thomas
AI may be the greatest opportunity of our time, with the potential to add nearly $16 trillion to the global economy over the next decade. But so far adoption has been much slower than anticipated. With this practical report, business leaders will discover where they are i....
Release Date 2020/04 -
The Value of AI-Powered Business Intelligence
Author Michael Norris
Artificial intelligence can yield powerful results when applied to business intelligence. Whether it’s pattern recognition in words, numbers, and big datasets or optimizing processes and expediting outcomes, AI is becoming a critical business component. In this report, Mi....
Release Date 2020/04 -
Author Rob Thomas , Paul Zikopoulos
AI may be the greatest opportunity of our time, with the potential to add nearly $16 trillion to the global economy over the next decade. But so far, adoption has been much slower than anticipated, or so headlines may lead you to believe. With this practical guide, busine....
Release Date 2020/04 -
Author Carlo Appugliese , Paco Nathan , William S. Roberts
As more companies work to adopt AI for business processes, project costs and failure rates are on the rise. Why? No standard practice exists for implementing AI in business applications, and many organizations don’t have the skills, processes, and tools to mitigate risk. ....
Release Date 2020/04