Hands-On Deep Learning for Images with TensorFlow 
by Will Ballard
TensorFlow is Google's popular offering for machine learning and deep learning, quickly becoming a favorite tool for performing fast, efficient, and accurate deep learning tasks.Hands-On Deep Learning for Images with TensorFlow shows you the practical implementations of real-world projects, teaching you how to leverage TensorFlow's capabilities to perform efficient image processing using the power...
Price: $24.99 | Publisher: Packt Publishing | Release: 2018
Python Artificial Intelligence Projects for Beginners
by Joshua Eckroth
Artificial Intelligence (AI) is the newest technology that's being employed among varied businesses, industries, and sectors. Python Artificial Intelligence Projects for Beginners demonstrates AI projects in Python, covering modern techniques that make up the world of Artificial Intelligence.This book begins with helping you to build your first prediction model using the popular Python library, scikit-...
Price: $25.99 | Publisher: Packt Publishing | Release: 2018
Mastering Predictive Analytics with scikit-learn and TensorFlow
by Alan Fontaine
Python is a programming language that provides a wide range of features that can be used in the field of data science. Mastering Predictive Analytics with scikit-learn and TensorFlow covers various implementations of ensemble methods, how they are used with real-world datasets, and how they improve prediction accuracy in classification and regression problems.This book starts with ensemble methods and their...
Price: $29.99 | Publisher: Packt Publishing | Release: 2018
Applied Deep Learning with Python
by Alex Galea, Luis Capelo
Taking an approach that uses the latest developments in the Python ecosystem, you'll first be guided through the Jupyter ecosystem, key visualization libraries and powerful data sanitization techniques before we train our first predictive model. We'll explore a variety of approaches to classification like support vector networks, random decision forests and k-nearest neighbours to build out your u...
Price: $44.99 | Publisher: Packt Publishing | Release: 2018
Big Data Processing with Apache Spark
by Manuel Ignacio Franco Galeano
Processing big data in real time is challenging due to scalability, information consistency, and fault-tolerance. This book teaches you how to use Spark to make your overall analytical workflow faster and more efficient. You'll explore all core concepts and tools within the Spark ecosystem, such as Spark Streaming, the Spark Streaming API, machine learning extension, and structured streaming.You'l...
Price: $29.99 | Publisher: Packt Publishing | Release: 2018
Numerical Computing with Python
by Pratap Dangeti, Allen Yu, Claire Chung, Aldrin Yim, Theodore Petrou
Data mining, or parsing the data to extract useful insights, is a niche skill that can transform your career as a data scientist Python is a flexible programming language that is equipped with a strong suite of libraries and toolkits, and gives you the perfect platform to sift through your data and mine the insights you seek. This Learning Path is designed to familiarize you with the Python libraries and th...
Price: $49.99 | Publisher: Packt Publishing | Release: 2018
Python: Beginner's Guide to Artificial Intelligence
by Denis Rothman, Matthew Lamons, Rahul Kumar
This Learning Path offers practical knowledge and techniques you need to create and contribute to machine learning, deep learning, and modern data analysis. You will be introduced to various machine learning and deep learning algorithms from scratch, and show you how to apply them to practical industry challenges using realistic and interesting examples. You'll find a new balance of classical ideas and...
Price: $49.99 | Publisher: Packt Publishing | Release: 2018
FREE EBOOK - Neural Networks and Deep Learning
by Charu C. Aggarwal
This book covers both classical and modern models in deep learning. The chapters of this book span three categories:The basics of neural networks: Many traditional machine learning models can be understood as special cases of neural networks. An emphasis is placed in the first two chapters on understanding the relationship between traditional machine learning and neural networks. Support vector machines, li...
Price: $33.99 | Publisher: Springer | Release: 2018
FREE EBOOK - An Introduction to Machine Learning, 2nd Edition
by Miroslav Kubat
This book presents fundamental machine learning concepts in an easy to understand manner by providing practical advice, using straightforward examples, and offering engaging discussions of relevant applications. The main topics include Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, decision trees, neural networks, and support vector machines. Later chapters show how t...
Price: $65.87 | Publisher: Springer | Release: 2017
Mastering Machine Learning with Python in Six Steps
by Manohar Swamynathan
Master machine learning with Python in six steps and explore fundamental to advanced topics, all designed to make you a worthy practitioner. This book's approach is based on the "Six degrees of separation" theory, which states that everyone and everything is a maximum of six steps away. Mastering Machine Learning with Python in Six Steps presents each topic in two parts: theoretical c...
Price: $37.64 | Publisher: Apress | Release: 2017