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Learning in Real Time

Learning in Real Time is a concise and practical resource for education professionals teaching live and online or those wanting to humanize;

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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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Real Talk About Time Management

Gain time in each day, reduce stress, and improve your classroom learning environment with 35 practical, teacher-proven strategies for;

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Service-Learning in Higher Education

Advocates have positioned service-learning as a real-world, real-time opportunity for students to encounter academic knowledge in a;

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Service-Learning In Higher Education

Advocates have positioned service-learning as a real-world, real-time opportunity for students to encounter academic knowledge in a;

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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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Digital Learning Anytime and Real Time

Since the start of the pandemic, educators all over the world have been learning on the fly how to use the power of digital texts, tools;

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Digital Learning Anytime and Real Time

Since the start of the pandemic, educators all over the world have been learning on the fly how to use the power of digital texts, tools;

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Digital Learning Anytime and Real Time

Since the start of the pandemic, educators all over the world have been learning on the fly how to use the power of digital texts, tools;

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Supervised Learning with Complex-valued Neural Networks

complex-valued neural networks and derive their learning algorithms to represent these signals at every step of the learning process. This;

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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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Application of FPGA to Real-Time Machine Learning

This book lies at the interface of machine learning - a subfield of computer science that develops algorithms for challenging tasks such as;

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Layered Learning in Multiagent Systems

incorporates learning in a real-time, noisy domain with teammates and adversaries-a computer-simulated robotic soccer team. Peter Stone's work is the;

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Machine Learning for Time Series Forecasting with Python

Learning for Time Series Forecasting with Python is full real-world examples, resources and concrete strategies to help readers explore and;

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Adoption of Data Analytics in Higher Education Learning and Teaching

information out of a large collection of complex educational datasets while learning analytics emphasizes insights and responses to real-time learning;

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Machine Learning Applications

The publication is attempted to address emerging trends in machine learning applications. Recent trends in information identification have;

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Cognitive Electronic Warfare

in-mission real-time learning and optimization.;

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Recent Advances in Robot Learning

learning system. Since these characteristics are shared by other important real-world application domains, robotics is a highly attractive area for;

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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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Spark in Action

near-real time data with Spark Streaming, how to apply machine learning algorithms with Spark MLlib, how to apply graph algorithms on;

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Machine Intelligence and Signal Processing

in the fields of machine learning, big data analytics, signal processing, computational learning theory, and their real-time applications. The;

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Real-Time Coaching and Pre-Service Teacher Education

This book details the findings of a small-scale research study on the use of real-time coaching in pre-service teacher education, founded;

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