TensorFlow: Powerful Predictive Analytics with TensorFlow:Predict valuable insights of your data with TensorFlow (English Edition) - Softcover
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Predictive analytics discovers hidden patterns from structured and unstructured data for automated decision making in business intelligence. Predictive decisions are becoming a huge trend worldwide, catering to wide industry sectors by predicting which decisions are more likely to give maximum results. TensorFlow, Google's brainchild, is ...
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Über die Autorin bzw. den Autor
Md. Rezaul Karim is a Research Scientist at Fraunhofer FIT, Germany. He is also a PhD candidate at RWTH Aachen University, Aachen, Germany. He holds a BSc and an MSc degree in Computer Science. Before joining Fraunhofer FIT, he worked as a Researcher at Insight Centre for Data Analytics, Ireland. Before this, he worked as a Lead Engineer at Samsung Electronics' distributed R&D Institutes in Korea, India, Turkey, and Bangladesh. Previously, he has worked as a Research Assistant at the database lab, Kyung Hee University, Korea. He also worked as an R&D engineer with BMTech21 Worldwide, Korea. Even before this, he worked as a Software Engineer with i2SoftTechnology, Dhaka, Bangladesh. He has more than 8 years of experience in the area of research and development with solid understanding of algorithms and data structures in C, C++, Java, Scala, R, and Python. He has published several books, articles, and research papers concerning big data and virtualization technologies, such as Spark, Kafka, DC/OS, Docker, Mesos, Zeppelin, Hadoop, and MapReduce. He is also equally competent with deep learning technologies such as TensorFlow, DeepLearning4j, and H2O. His research interests include Machine Learning, Deep Learning, Semantic Web, Linked Data, Big Data, and Bioinformatics. Also, he is the author of the following book titles: . Large-Scale Machine Learning with Spark (Packt Publishing Ltd.) . Deep Learning with TensorFlow (Packt Publishing Ltd.) . Scala and Spark for Big Data Analytics (Packt Publishing Ltd.)
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Digital. Zustand: New. Learn how to solve real life problems using different methods like logic regression, random forests and SVM's with TensorFlow.About This Book. Understand predictive analytics along with its challenges and best practices . Embedded with assessments that will help you revise the concepts you have learned in this bookWho This Book Is ForThis book is aimed at developers, data analysts, machine learning practitioners, and deep learning enthusiasts who want to build powerful, robust, and accurate predictive models with the power of TensorFlow.What You Will Learn. Learn TensorFlow features in a real-life problem, followed by detailed TensorFlow installation and configuration. Explore computation graphs, data, and programming models also get an insight into an example of implementing linear regression model for predictive analytics. Solve the Titanic survival problem using logistic regression, random forests, and SVMs for predictive analytics. Dig deeper into predictive analytics and find out how to take advantage of it to cluster records belonging to the certain group or class for a dataset of unsupervised observations. Learn several examples of how to apply reinforcement learning algorithms for developing predictive models on real-life datasetsIn DetailPredictive analytics discovers hidden patterns from structured and unstructured data for automated decision making in business intelligence. Predictive decisions are becoming a huge trend worldwide, catering to wide industry sectors by predicting which decisions are more likely to give maximum results. TensorFlow, Google's brainchild, is immensely popular and extensively used for predictive analysis.This book is a quick learning guide on all the three types of machine learning, that is, supervised, unsupervised, and reinforcement learning with TensorFlow. This book will teach you predictive analytics for high-dimensional and sequence data. In particular, you will learn the linear regression model for regression analysis. You will also learn how to use regression for predicting continuous values. You will learn supervised learning algorithms for predictive analytics. You will explore unsupervised learning and clustering using K-meansYou will then learn how to predict neighborhoods using K-means, and then, see another example of clustering audio clips based on their audio features. This book is ideal for developers, data analysts, machine learning practitioners, and deep learning enthusiasts who want to build powerful, robust, and accurate predictive models with the power of TensorFlow. This book is embedded with useful assessments that will help you revise the concepts you have learned in this book.Style and approachThis is a fast-paced guide that provides a quick learning solution to all the three types of machine learning, that is, supervised, unsupervised, and reinforcement learning with TensorFlowNote: This book is a blend of text and quizzes, all packaged up keeping your journey in mind. It includes. Bestandsnummer des Verkäufers LU-9781789136913
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TensorFlow: Powerful Predictive Analytics with TensorFlow (Paperback or Softback)
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