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Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition
Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition

Learn advanced state-of-the-art deep learning techniques and their applications using popular Python libraries

Key Features

  • Build a strong foundation in neural networks and deep learning with Python libraries
  • Explore advanced deep learning techniques and their applications...
Big Data Analysis with Python: Combine Spark and Python to unlock the powers of parallel computing and machine learning
Big Data Analysis with Python: Combine Spark and Python to unlock the powers of parallel computing and machine learning

Get to grips with processing large volumes of data and presenting it as engaging, interactive insights using Spark and Python.

Key Features

  • Get a hands-on, fast-paced introduction to the Python data science stack
  • Explore ways to create useful metrics and statistics from...
Artificial Intelligence By Example: Develop machine intelligence from scratch using real artificial intelligence use cases
Artificial Intelligence By Example: Develop machine intelligence from scratch using real artificial intelligence use cases

Be an adaptive thinker that leads the way to Artificial Intelligence

Key Features

  • AI-based examples to guide you in designing and implementing machine intelligence
  • Develop your own method for future AI solutions
  • Acquire advanced AI, machine learning, and...
Fundamentals of Mathematics, Enhanced Edition (with Enhanced WebAssign 1-Semester Printed Access Card) (Available 2010 Titles Enhanced Web Assign)
Fundamentals of Mathematics, Enhanced Edition (with Enhanced WebAssign 1-Semester Printed Access Card) (Available 2010 Titles Enhanced Web Assign)

clear exposition and the consistency of presentation make learning arithmetic accessible for all. Key concepts are presented in section objectives and further defined within the context of How and Why; providing a strong foundation for learning. The predominant emphasis of the book focuses on problem-solving, skills, concepts, and...

Programming Persistent Memory: A Comprehensive Guide for Developers
Programming Persistent Memory: A Comprehensive Guide for Developers

Beginning and experienced programmers will use this comprehensive guide to persistent memory programming. You will understand how persistent memory brings together several new software/hardware requirements, and offers great promise for better performance and faster application startup times?a huge leap forward in byte-addressable...

Hands-On Data Structures and Algorithms with Python: Write complex and powerful code using the latest features of Python 3.7, 2nd Edition
Hands-On Data Structures and Algorithms with Python: Write complex and powerful code using the latest features of Python 3.7, 2nd Edition

Learn to implement complex data structures and algorithms using Python

Key Features

  • Understand the analysis and design of fundamental Python data structures
  • Explore advanced Python concepts such as Big O notation and dynamic programming
  • Learn functional...
Clean Code: A Handbook of Agile Software Craftsmanship (Robert C. Martin Series)
Clean Code: A Handbook of Agile Software Craftsmanship (Robert C. Martin Series)

Even bad code can function. But if code isn’t clean, it can bring a development organization to its knees. Every year, countless hours and significant resources are lost because of poorly written code. But it doesn’t have to be that way.

Noted software expert Robert C. Martin presents a revolutionary paradigm with
...

PMP Project Management Professional Study Guide (Certification Press)
PMP Project Management Professional Study Guide (Certification Press)

This book shows you not only what, but how to study for the PMP exam. With 100% complete coverage of all exam objectives and simulated questions, this guide covers project initiation, scope management, quality assurance, and more.

Get the book that shows you not only what—but how—to study

...
Machine Learning Algorithms: Popular algorithms for data science and machine learning, 2nd Edition
Machine Learning Algorithms: Popular algorithms for data science and machine learning, 2nd Edition

An easy-to-follow, step-by-step guide for getting to grips with the real-world application of machine learning algorithms

Key Features

  • Explore statistics and complex mathematics for data-intensive applications
  • Discover new developments in EM algorithm, PCA, and bayesian...
Learn Data Analysis with Python: Lessons in Coding
Learn Data Analysis with Python: Lessons in Coding
Get started using Python in data analysis with this compact practical guide. This book includes three exercises and a case study on getting data in and out of Python code in the right format. Learn Data Analysis with Python also helps you discover meaning in the data using analysis and shows you how to visualize...
Building Digital Experience Platforms: A Guide to Developing Next-Generation Enterprise Applications
Building Digital Experience Platforms: A Guide to Developing Next-Generation Enterprise Applications

Use digital experience platforms (DXP) to improve your development productivity and release timelines. Leverage the pre-integrated feature sets of DXPs in your organization's digital transformation journey to quickly develop a personalized, secure, and robust enterprise platform.

In this book the authors examine...

Raspberry Pi Image Processing Programming: Develop Real-Life Examples with Python, Pillow, and SciPy
Raspberry Pi Image Processing Programming: Develop Real-Life Examples with Python, Pillow, and SciPy
Write your own Digital Image Processing programs with the use of pillow, scipy.ndimage, and matplotlib in Python 3 with Raspberry Pi 3 as the hardware platform. This concise quick-start guide provides working code examples and exercises. Learn how to interface Raspberry Pi with various image sensors.

What...
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