This video tutorial has been taken from Predictive Analytics with TensorFlow. Rezaul Karim. Learn how to solve real life problems using different methods like logic regression, random forests and SVM’s with TensorFlow. Installing and getting started with Python. Reviewed in the United Kingdom on December 5, 2017. Copyright © 2021 Apple Inc. All rights reserved. In Detail: Predictive analytics discovers hidden patterns in structured and unstructured data for automated decision-making in business intelligence. In the end tune and build your own predictive analytics model with the help of TensorFlow. A basic introduction to predictive analytics. It is very up-to-date and covers most of the topics I have a strong interest in. Even before this, he worked as a Software Engineer with i2SoftTechnology, Dhaka, Bangladesh. Predictive Analytics with TensorFlow. Predictive Analytics with TensorFlow, published by Packt - ask-build/Predictive-Analytics-with-TensorFlow It contains all the supporting project files necessary to work through the book from start to finish. Get Predictive Analytics with TensorFlow now with O’Reilly online learning. This book will help you build, tune, and deploy predictive models with TensorFlow in three main sections. A bit of linear algebra. Start your free trial. It then explains how to develop predictive models for NLP and covers reinforcement learning algorithms. Platform: Pluralsight. Implementing Predictive Analytics with TensorFlow. Amazon.com: TensorFlow: Powerful Predictive Analytics with TensorFlow: Predict valuable insights of your data with TensorFlow eBook: Karim, Md. Predictive analytics discovers hidden patterns from structured and unstructured data for automated decision-making in business intelligence. Noté /5. In the first section-Applied Mathematics, Statistics, and Foundations of Predictive Analytics; will cover Linear algebra needed to getting started with data science in a practical manner by using the most commonly used Python packages. Write stand-alone TensorFlow Python or C++ programs, or try things out in an interactive TensorFlow iPython notebook where users can keep notes, code, and visualizations logically grouped. Discover hidden patterns from structured and unstructured data with predictive analytics. About the Book. Predictive Consumer Data Analytics Guide MSRP: $495.00 $495.00. A basic introduction to predictive analytics. The dataflow graphs used in TensorFlow help the machine learning experts to perform more advanced and intensive training on the data for developing deep learning and predictive analytics models. Predictive decisions are becoming a huge trend worldwide, catering to wide industry sectors by predicting which decisions are more likely to give maximum results. Predictive analytics discovers hidden patterns from structured and unstructured data for automated... Table of … A bit of linear algebra. Test your Knowledge. TensorFlow: Powerful Predictive Analytics with TensorFlow. About This Book • A quick guide to gain hands-on experience with deep learning in different domains such as digit/image classification, and texts • Build your own smart, predictive… The third section covers deep learning architectures for advanced predictive analytics, including deep neural networks and recurrent neural networks for high-dimensional and sequence data. Key Features Understand Login Start your free Trial; Courses; Learning Paths/Editor's Choice All Featured Learning Paths; Become a DevOps Genius! He is also equally competent with deep learning technologies such as TensorFlow, DeepLearning4j, and H2O. Brief content visible, double tap to read full content. This course will help you build, tune, and deploy predictive models with TensorFlow in three main divisions. In Detail. 11:56. Unable to add item to List. About This Book A quick guide to gain hands-on experience with deep learning in different domains such as digit/image classification, and texts Build your own smart, predictive models with TensorFlow using easy-to-follow approach mentioned in the book Understand … It also analyzes reviews to verify trustworthiness. Next, you will discover how recommendation systems can be implemented using TensorFlow. This 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. Since its release in 2015 by the Google Brain team, TensorFlow has been a driving force in conversations centered on artificial intelligence, machine learning, and predictive analytics. In addition to image processing, the scope of TensorFlow’s algorithms extends to-a) Information extraction from images and videos b) Image search and recommendations c) Identification of certain anatomy in critical healthcare operations d) Predictive analytics, and other machine learning applications. With its flexible architecture, TensorFlow provides numerical computation capacity with incredible parallelism that is appealing to both small and large businesses. If you want to build your own extensive applications which work, and can predict smart decisions in the future then this book is what you need!What You Will Learn• Get a solid and theoretical understanding of linear algebra, statistics, and probability for predictive modeling• Develop predictive models using classification, regression, and clustering algorithms• Develop predictive models for NLP• Learn how to use reinforcement learning for predictive analytics• Factorization Machines for advanced recommendation systems• Get a hands-on understanding of deep learning architectures for advanced predictive analytics• Learn how to use deep Neural Networks for predictive analytics• See how to use recurrent Neural Networks for predictive analytics• Convolutional Neural Networks for emotion recognition, image classification, and sentiment analysisIn DetailPredictive analytics discovers hidden patterns from structured and unstructured data for automated decision-making in business intelligence.This book will help you build, tune, and deploy predictive models with TensorFlow in three main sections. The first section covers linear algebra, statistics, and probability theory for predictive modeling. Finally, you will … Predictive decisions are becoming a huge trend worldwide catering wide sectors of … He is also a PhD candidate at RWTH Aachen University, Aachen, Germany. About This Book • A quick guide to gain hands-on experience with deep learning in different domains such as digit/image classification, and texts • Build your own smart, predictive… Predictive analytics discovers hidden patterns from structured and unstructured data for automated decision-making in business intelligence. Retrouvez Predictive Analytics with TensorFlow et des millions de livres en stock sur Amazon.fr. The second section covers developing predictive models via supervised (classification and regression) and unsupervised (clustering) algorithms. This is one of the best TensorFlow books in my collection. Previously, he has worked as a Research Assistant at the database lab, Kyung Hee University, Korea.

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