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Machine Learning and Deep Learning in Real-Time Applications

have proven to be vital solutions to numerous real-world issues are machine learning and deep learning. These intelligent agents unlock higher;

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Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches

of systems through machine learning and deep learning approaches and its implications to the real world Presents data analytics and mining;

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Learn PySpark

Leverage machine and deep learning models to build applications on real-time data using PySpark. This book is perfect for those who want to;

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Learn PySpark

Leverage machine and deep learning models to build applications on real-time data using PySpark. This book is perfect for those who want to;

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Applications of Artificial Intelligence and Machine Learning

Intelligence and Machine Learning - ICAAAIML 2020. The book covers research in artificial intelligence, machine learning, and deep learning;

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Deep Learning

, machine learning, and natural language processing through diagrams, source code, and real-world applications * This step-by-step guide will help;

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Practical Machine Learning and Image Processing

real-life scenarios. After reading this book you will be able to apply image processing techniques and make machine learning models for;

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Practical Machine Learning and Image Processing

time and then deployed using various DevOps tools. All the concepts in Practical Machine Learning and Image Processing are explained using real;

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Mastering OpenCV 4 with Python

tracking, or augmented reality. Next, you'll learn machine learning techniques and concepts, understand how to apply them in real-world examples;

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Cognitive Computing Recipes

Solve your AI and machine learning problems using complete and real-world code examples. Using a problem-solution approach, this book makes;

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Deep Learning Applications

solve real-world problems, and also offers insights into deep learning architectures and algorithms, making it an essential reference guide for;

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Handbook of Research on Applications and Implementations of Machine Learning Techniques

platform in which they can keep up with machine learning trends and their developments in the real world. The Handbook of Research on;

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Deep Learning with TensorFlow 2 and Keras

Build machine and deep learning systems with the newly released TensorFlow 2 and Keras for the lab, production, and mobile devices Key;

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Machine Learning Using R

balance of theory and application of machine learning through various real-world use-cases which gives you a comprehensive collection of topics;

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Deep Learning Applications Volume 2

This book presents selected papers from the 18th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2019). It;

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Python Machine Learning Cookbook

, and PyTorch Key Features Learn and implement machine learning algorithms in a variety of real-life scenarios Cover a range of tasks catering;

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Machine Learning for OpenCV 4

implement them using OpenCV 4. If you want to build real-world Computer Vision and image processing applications powered by machine learning, then;

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Deep Learning with R

Description Artificial intelligence has made some incredible leaps. Deep learning systems now deliver near-human speech and image;

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Deep Learning with TensorFlow

Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of this comprehensive;

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Deep Learning for NLP and Speech Recognition

learning techniques to NLP and speech and provides insights into using the tools and libraries for real-world applications. Deep Learning for NLP;

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Deep Learning for Nlp and Speech Recognition

learning techniques to NLP and speech and provides insights into using the tools and libraries for real-world applications. Deep Learning for NLP;

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Deep Learning with Structured Data

most businesses and organisations. Deep learning offers the potential to identify complex patterns and relationships hidden in data;

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Hands-On Deep Learning with R

Explore and implement deep learning to solve various real-world problems using modern R libraries such as TensorFlow, MXNet, H2O, and;

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Practical Machine Learning with Python

Master the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Using real-world;

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Machine Learning Applications

dimension for designing light weight techniques for real time identification and decision fusion. Key Findings of the book will be the use;

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Introducing Machine Learning

Master machine learning concepts and develop real-world solutions Machine learning offers immense opportunities, and;

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Machine Learning for Finance

learning and how to put them to work in financial industries Clear explanation and expert discussion of how machine learning works, with an;

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