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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...
Secret Recipes of the Python Ninja: Over 70 recipes that uncover powerful programming tactics in Python
Secret Recipes of the Python Ninja: Over 70 recipes that uncover powerful programming tactics in Python

Test your Python programming skills by solving real-world problems

Key Features

  • Access built-in documentation tools and improve your code.
  • Discover how to make the best use of decorator and generator functions
  • Enhance speed and improve concurrency by...
Artificial Intelligence for Robotics: Build intelligent robots that perform human tasks using AI techniques
Artificial Intelligence for Robotics: Build intelligent robots that perform human tasks using AI techniques

Bring a new degree of interconnectivity to your world by building your own intelligent robots

Key Features

  • Leverage fundamentals of AI and robotics
  • Work through use cases to implement various machine learning algorithms
  • Explore Natural Language Processing...
Next-Generation Big Data: A Practical Guide to Apache Kudu, Impala, and Spark
Next-Generation Big Data: A Practical Guide to Apache Kudu, Impala, and Spark

Utilize this practical and easy-to-follow guide to modernize traditional enterprise data warehouse and business intelligence environments with next-generation big data technologies.

Next-Generation Big Data takes a holistic approach, covering the most important aspects of modern enterprise big data. The book...

Introduction to Deep Learning Business Applications for Developers: From Conversational Bots in Customer Service to Medical Image Processing
Introduction to Deep Learning Business Applications for Developers: From Conversational Bots in Customer Service to Medical Image Processing
Discover the potential applications, challenges, and opportunities of deep learning from a business perspective with technical examples. These applications include image recognition, segmentation and annotation, video processing and annotation, voice recognition, intelligent personal assistants, automated translation, and...
Practical Enterprise Data Lake Insights: Handle Data-Driven Challenges in an Enterprise Big Data Lake
Practical Enterprise Data Lake Insights: Handle Data-Driven Challenges in an Enterprise Big Data Lake
Use this practical guide to successfully handle the challenges encountered when designing an enterprise data lake and learn industry best practices to resolve issues.


When designing an enterprise data lake you often hit a roadblock when you must leave the comfort of the relational world and learn the
...
Artificial Intelligence for Big Data: Complete guide to automating Big Data solutions using Artificial Intelligence techniques
Artificial Intelligence for Big Data: Complete guide to automating Big Data solutions using Artificial Intelligence techniques

Build next-generation artificial intelligence systems with Java

Key Features

  • Implement AI techniques to build smart applications using Deeplearning4j
  • Perform big data analytics to derive quality insights using Spark MLlib
  • Create self-learning systems using...
Python Robotics Projects: Build smart and collaborative robots using Python
Python Robotics Projects: Build smart and collaborative robots using Python

Leverage the power of Python to build DIY robotic projects

Key Features

  • Design, build, and stimulate collaborative robots
  • Build high-end robotics projects such as a customized personal Jarvis
  • Leverage the power of Python and ROS for DIY robotic...
Practical Machine Learning with Python: A Problem-Solver's Guide to Building Real-World Intelligent Systems
Practical Machine Learning with Python: A Problem-Solver's Guide to Building Real-World Intelligent Systems

Master the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Using real-world examples that leverage the popular Python machine learning ecosystem, this book is your perfect companion for learning the art and science of machine learning to become a successful practitioner....

Learn JavaScript with p5.js: Coding for Visual Learners
Learn JavaScript with p5.js: Coding for Visual Learners
Learn coding from scratch in a highly engaging and visual manner using the vastly popular JavaScript with the programming library p5.js. The skills you will acquire from this book are highly transferable to a myriad of industries and can be used towards building web applications, programmable robots, or generative art. 
...
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...
Build Android-Based Smart Applications: Using Rules Engines, NLP and Automation Frameworks
Build Android-Based Smart Applications: Using Rules Engines, NLP and Automation Frameworks
Build smart applications using cutting-edge technologies such as rules engines, code automation frameworks, and natural language processing (NLP). This book provides step-by-step instructions on how to port nine rules engines (CLIPS, JRuleEngine, DTRules, Zilonis, TermWare, Roolie, OpenRules, JxBRE, and JEOPS) to the Android...
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