Learn how to solve real life problems using different methods like
logic regression, random forests and SVM's with TensorFlow. Key
Features 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 book Book
DescriptionPredictive 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. 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 datasets Who 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.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
Welcome to Loot.co.za!
Sign in / Register |Wishlists & Gift Vouchers |Help | Advanced search
