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Early rules-based artificial intelligence demonstrated intriguing decision-making capabilities but lacked perception and didn't learn. AI today, primed with machine learning perception and deep reinforcement learning capabilities, can perform superhuman decision-making for specific tasks. This book shows you how to combine the practicality of early AI with deep learning capabilities and industrial control technologies to make robust decisions in the real world.
Minimum quantity for "Designing Autonomous AI: A Guide for Machine Teaching" is 1.
Minimum quantity for "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems, 3rd Edition (Full Colour Print) - Pre Order" is 1.
Use business intelligence and AI to power corporate growth, increase efficiency, and improve business decision-making. With this practical book with hands-on examples in Power BI, you'll explore the most relevant AI use cases for BI, including improved forecasting, automated classification, and AI-powered recommendations. And you'll learn how to draw insights from unstructured data sources like text, document, and image files.
Minimum quantity for "AI-Powered Business Intelligence: Improving Forecasts and Decision Making with Machine Learning" is 1.
Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements.
Minimum quantity for "Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications" is 1.
We're in the midst of an AI research explosion. Deep learning has unlocked superhuman perception to power our push toward creating self-driving vehicles, defeating human experts at a variety of difficult games including Go, and even generating essays with shockingly coherent prose. But deciphering these breakthroughs often takes a PhD in machine learning and mathematics.
Minimum quantity for "Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms 2nd Edition" is 1.
Take advantage of the power of cloud and the latest AI techniques. Whether you're an experienced developer wanting to improve your app with AI-powered features or you want to make a business process smarter by getting AI to do some of the work, this book's got you covered. Authors Anand Raman, Chris Hoder, Simon Bisson, and Mary Branscombe show you how to build practical intelligent applications for the cloud, mobile, browsers, and edge devices using a hands-on approach.
Minimum quantity for "Azure AI Services at Scale for Cloud, Mobile, and Edge: Building Intelligent Apps with Azure Cognitive Services and Machine Learning" is 1.
Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this practical book shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library.
Minimum quantity for "Natural Language Processing with Transformers: Building Language Applications with Hugging Face 1st Edition" is 1.
Machine Learning based Prediction Techniques is a book for those who wanted to learn basics of Machine Learning and for those interested in undertaking projects, research, etc. The contents of book starts from the basics and extends to advanced content in a systematic manner. At the end of the book, learners will be able to develop their own predictive machine leaning based automated system.
Minimum quantity for "Machine Learning Based Prediction Techniques" is 1.
Building a simple but powerful recommendation system is much easier than you think. Approachable for all levels of expertise, this report explains innovations that make machine learning practical for business production settings—and demonstrates how even a small-scale development team can design an effective large-scale recommendation system.
Minimum quantity for "Practical Machine Learning: Innovations in Recommendation" is 1.
Financial risk management is quickly evolving with the help of artificial intelligence. With this practical book, developers, programmers, engineers, financial analysts, risk analysts, and quantitative and algorithmic analysts will examine Python-based machine learning and deep learning models for assessing financial risk. Building hands-on AI-based financial modeling skills, you'll learn how to replace traditional financial risk models with ML models.
Minimum quantity for "Machine Learning for Financial Risk Management with Python: Algorithms for Modeling Risk 1st Edition" is 1.
AI is nothing without somewhere to run it. Now that mobile devices have become the primary computing device for most people, it's essential that mobile developers add AI to their toolbox. This insightful book is your guide to creating and running models on popular mobile platforms such as iOS and Android.
Minimum quantity for "AI and Machine Learning for On-Device Development: A Programmer's Guide" is 1.