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Deep Learning for the Life Sciences

Deep learning has already achieved remarkable results in many fields. Now it's making waves throughout the sciences broadly and the life;

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Teaching in the Sciences

range of learning and teaching settings in the life sciences. The book presents strategies for mentoring and assessing students, assessments;

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Discovery-Based Learning in the Life Sciences

. Discovery-Based Learning in the Life Sciences is an invaluable guide for undergraduate instructors in the life sciences aiming to revamp their;

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Probabilistic Deep Learning

Probabilistic Deep Learning shows how probabilistic deep learning models gives readers the tools to identify and account for uncertainty;

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Machine Learning in the Oil and Gas Industry

to a survey of some interesting problems, which are good candidates for applying machine and deep learning approaches. The initial chapters;

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Machine Learning in the Oil and Gas Industry

to a survey of some interesting problems, which are good candidates for applying machine and deep learning approaches. The initial chapters;

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Deep Learning for Physical Scientists - Accelerating Research with Machine Learning

sciences, Deep Learning for Physical Scientists: Accelerating Research with Machine Learning will also earn a place in the libraries of industrial;

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Deep Learning in Science

This is the first rigorous, self-contained treatment of the theory of deep learning. Starting with the foundations of the theory and;

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Fundamentals of Machine Learning and Deep Learning in Medicine

This book provides an accessible introduction to the foundations of machine learning and deep learning in medicine for medical students;

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Learn Keras for Deep Neural Networks

machine learning, the choices of frameworks for deep learning, and the Keras ecosystem. You will cover a real-life business problem that can be;

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Advanced Deep Learning with R

learning book starts by covering the essential deep learning techniques and concepts for prediction and classification. You will learn about neural;

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Deep Learning in Data Analytics

deep learning applications. The book discusses significant issues relating to deep learning in data analytics. Further in-depth reading can be;

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The International Conference on Deep Learning, Big Data and Blockchain (Deep-BDB 2021)

The role of deep learning for the analysis and learning of massive amounts of data from all aspects of daily-life has dramatically changed;

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R Deep Learning Essentials

algorithms for unsupervised data using deep learning concepts with R * Master the common problems faced such as overfitting of data, anomalous;

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Effective Learning In The Life Sciences

Effective Learning in the Life Sciences is intended to help ensure that each student achieves his or her true potential by learning how to;

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Effective Learning In The Life Sciences

Effective Learning in the Life Sciences is intended to help ensure that each student achieves his or her true potential by learning how to;

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Dive into Deep Learning

to their runaway best-seller, Deep Learning: Engage the World Change the World. This hands-on guide provides a roadmap for building capacity;

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Graph Representation Learning

network analysis. Following this, the book introduces and reviews methods for learning node embeddings, including random-walk-based methods and;

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14th International Conference on Theory and Application of Fuzzy Systems and Sof

computing, AI tools such as uncertain computation, decision making under imperfect information, deep learning and others. The topics of the papers;

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Deep Comprehension

This volume provides an overview of research from the learning sciences into understanding, enhancing, and measuring deep comprehension;

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Deep Learning for Vision Systems

). Deep Learning for Vision Systems teaches you the concepts and tools for building intelligent, scalable computer vision systems that can;

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Deep Learning Techniques for Biomedical and Health Informatics

This book presents a collection of state-of-the-art approaches for deep-learning-based biomedical and health-related applications. The aim;

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Deep Learning Techniques for Biomedical and Health Informatics

This book presents a collection of state-of-the-art approaches for deep-learning-based biomedical and health-related applications. The aim;

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Deep Learning for Medical Decision Support Systems

the essentials of and highlight recent applications of deep learning architectures for medical decision support systems. The target audience;

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Deep Learning for Medical Decision Support Systems

the essentials of and highlight recent applications of deep learning architectures for medical decision support systems. The target audience;

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Study and Master Life Sciences Grade 12 Teacher's Book

National Curriculum Statement for Life Sciences. Special features of the Teacher's Guide include: * a detailed Learning Programme to facilitate;

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Study and Master Life Sciences Grade 12 Teacher's Book Afrikaans Translation

National Curriculum Statement for Life Sciences. Special features of the Teacher's Guide include: * a detailed Learning Programme to facilitate;

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