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TensorFlow: Powerful Predictive Analytics with TensorFlow

You're reading from  TensorFlow: Powerful Predictive Analytics with TensorFlow

Product type Book
Published in Mar 2018
Publisher Packt
ISBN-13 9781789136913
Pages 164 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Md. Rezaul Karim Md. Rezaul Karim
Profile icon Md. Rezaul Karim
LinkedIn
Md. Rezaul Karim is a researcher, author, and data science enthusiast with a strong computer science background, coupled with 10 years of research and development experience in machine learning, deep learning, and data mining algorithms to solve emerging bioinformatics research problems by making them explainable. He is passionate about applied machine learning, knowledge graphs, and explainable artificial intelligence (XAI). Currently, he is working as a research scientist at Fraunhofer FIT, Germany. He is also a PhD candidate at RWTH Aachen University, Germany. Before joining FIT, he worked as a researcher at the Insight Centre for Data Analytics, Ireland. Previously, he worked as a lead software engineer at Samsung Electronics, Korea.
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Table of Contents (8) Chapters

TensorFlow: Powerful Predictive Analytics with TensorFlow
Credits
Preface
1. From Data to Decisions – Getting Started with TensorFlow 2. Putting Data in Place – Supervised Learning for Predictive Analytics 3. Clustering Your Data – Unsupervised Learning for Predictive Analytics 4. Using Reinforcement Learning for Predictive Analytics Assessment Answers

Credits

This book is a blend of text and quizzes, all packaged up keeping your journey in mind. It includes content from the following Packt product:

  • Predictive Analytics with TensorFlow by Md. Rezaul Karim

Meet Your Expert

We have the best work of the following esteemed author to ensure that your learning journey is smooth:

Md. Rezaul Karim has more than 8 years of experience in the area of research and development with a solid knowledge of algorithms and data structures in C/C++, Java, Scala, R, and Python focusing big data technologies: Spark, Kafka, DC/OS, Docker, Mesos, Zeppelin, Hadoop, and MapReduce and deep learning technologies: TensorFlow, DeepLearning4j, and H2O-Sparking Water. His research interests include machine learning, deep learning, semantic web/linked data, big data, and bioinformatics. He is a research scientist at Fraunhofer FIT, Germany. He is also a Ph.D. candidate at the RWTH Aachen University, Aachen, Germany. He holds a BSc and an MSc degree in computer science. Before joining the Fraunhofer FIT, he had been working as a researcher at Insight Centre for Data Analytics, Ireland. Before that, he worked as a lead engineer with Samsung Electronics' distributed R&D Institutes in Korea, India, Vietnam, Turkey, and Bangladesh. Before that, he worked as a research assistant in the Database Lab at Kyung Hee University, Korea. He also worked as an R&D engineer with BMTech21 Worldwide, Korea. Even before that, he worked as a software engineer with i2SoftTechnology, Dhaka, Bangladesh. He is the author of the following book titles with Packt Publishing:

  • Large-Scale Machine Learning with Spark

  • Deep Learning with TensorFlow

  • Scala and Spark for Big Data Analytics

  • Predictive Analytics with TensorFlow

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Authors (1)

Profile icon Md. Rezaul Karim
LinkedIn
Md. Rezaul Karim is a researcher, author, and data science enthusiast with a strong computer science background, coupled with 10 years of research and development experience in machine learning, deep learning, and data mining algorithms to solve emerging bioinformatics research problems by making them explainable. He is passionate about applied machine learning, knowledge graphs, and explainable artificial intelligence (XAI). Currently, he is working as a research scientist at Fraunhofer FIT, Germany. He is also a PhD candidate at RWTH Aachen University, Germany. Before joining FIT, he worked as a researcher at the Insight Centre for Data Analytics, Ireland. Previously, he worked as a lead software engineer at Samsung Electronics, Korea.
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