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Hands-On Machine Learning for Algorithmic Trading: Design and implement investment strategies based on smart algorithms that learn from data using Python
Hands-On Machine Learning for Algorithmic Trading: Design and implement investment strategies based on smart algorithms that learn from data using Python

Explore effective trading strategies in real-world markets using NumPy, spaCy, pandas, scikit-learn, and Keras

Key Features

  • Implement machine learning algorithms to build, train, and validate algorithmic models
  • Create your own algorithmic design process to apply...
SQL Server 2017 Query Performance Tuning: Troubleshoot and Optimize Query Performance
SQL Server 2017 Query Performance Tuning: Troubleshoot and Optimize Query Performance

Identify and fix causes of poor performance. You will learn Query Store, adaptive execution plans, and automated tuning on the Microsoft Azure SQL Database platform. Anyone responsible for writing or creating T-SQL queries will find valuable the insight into bottlenecks, including how to recognize them and eliminate them.

...

Hands-On RESTful API Design Patterns and Best Practices: Design, develop, and deploy highly adaptable, scalable, and secure RESTful web APIs
Hands-On RESTful API Design Patterns and Best Practices: Design, develop, and deploy highly adaptable, scalable, and secure RESTful web APIs

Build effective RESTful APIs for enterprise with design patterns and REST framework's out-of-the-box capabilities

Key Features

  • Understand advanced topics such as API gateways, API securities, and cloud
  • Implement patterns programmatically with easy-to-follow...
Applied Deep Learning: A Case-Based Approach to Understanding Deep Neural Networks
Applied Deep Learning: A Case-Based Approach to Understanding Deep Neural Networks

Work with advanced topics in deep learning, such as optimization algorithms, hyper-parameter tuning, dropout, and error analysis as well as strategies to address typical problems encountered when training deep neural networks. You’ll begin by studying the activation functions mostly with a single neuron (ReLu, sigmoid, and...

Deep Learning Essentials: Your hands-on guide to the fundamentals of deep learning and neural network modeling
Deep Learning Essentials: Your hands-on guide to the fundamentals of deep learning and neural network modeling

Get to grips with the essentials of deep learning by leveraging the power of Python

Key Features

  • Your one-stop solution to get started with the essentials of deep learning and neural network modeling
  • Train different kinds of neural networks to tackle various problems in...
UX Optimization: Combining Behavioral UX and Usability Testing Data to Optimize Websites
UX Optimization: Combining Behavioral UX and Usability Testing Data to Optimize Websites
Combine two typically separate sources of data?behavioral quantitative data and usability testing qualitative data?into a powerful single tool that helps improve your organization’s website by increasing conversion and ROI. The combination of the what is happening data of website activity, coupled with the...
Mastering Go: Create Golang production applications using network libraries, concurrency, and advanced Go data structures
Mastering Go: Create Golang production applications using network libraries, concurrency, and advanced Go data structures

Exploring the major features and packages of Go, along with its types and data-structures, enabling the reader to write threadsafe, concurrent cloud, and network applications

Key Features

  • Not your typical introduction to the Golang programming language
  • Exploring Golang...
Practical Convolutional Neural Networks: Implement advanced deep learning models using Python
Practical Convolutional Neural Networks: Implement advanced deep learning models using Python

One stop guide to implementing award-winning, and cutting-edge CNN architectures

Key Features

  • Fast-paced guide with use cases and real-world examples to get well versed with CNN techniques
  • Implement CNN models on image classification, transfer learning, Object Detection,...
Python Deep Learning Projects: 9 projects demystifying neural network and deep learning models for building intelligent systems
Python Deep Learning Projects: 9 projects demystifying neural network and deep learning models for building intelligent systems

Insightful projects to master deep learning and neural network architectures using Python and Keras

Key Features

  • Explore deep learning across computer vision, natural language processing (NLP), and image processing
  • Discover best practices for the training of deep neural...
Data Science Algorithms in a Week: Top 7 algorithms for scientific computing, data analysis, and machine learning, 2nd Edition
Data Science Algorithms in a Week: Top 7 algorithms for scientific computing, data analysis, and machine learning, 2nd Edition

Build a strong foundation of machine learning algorithms in 7 days

Key Features

  • Use Python and its wide array of machine learning libraries to build predictive models
  • Learn the basics of the 7 most widely used machine learning algorithms within a week
  • Know...
Optimizing Data-to-Learning-to-Action: The Modern Approach to Continuous Performance Improvement for Businesses
Optimizing Data-to-Learning-to-Action: The Modern Approach to Continuous Performance Improvement for Businesses

Apply a powerful new approach and method that ensures continuous performance improvement for your business. You will learn how to determine and value the people, process, and technology-based solutions that will optimize your organization’s data-to-learning-to-action processes.

This book describes in...

Delphi High Performance: Build fast Delphi applications using concurrency, parallel programming and memory management
Delphi High Performance: Build fast Delphi applications using concurrency, parallel programming and memory management

Build fast, scalable, and high performing applications with Delphi

Key Features

  • Build efficient and concurrent applications in Delphi with focused examples
  • Identify performance bottlenecks and apply the correct algorithm to increase the performance of applications.
  • ...
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