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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...
Testing and Tuning Market Trading Systems: Algorithms in C++
Testing and Tuning Market Trading Systems: Algorithms in C++

Build, test, and tune financial, insurance or other market trading systems using C++ algorithms and statistics. You’ve had an idea and have done some preliminary experiments, and it looks promising. Where do you go from here?  Well, this book discusses and dissects this case study approach.  

...

Practical Microsoft Azure IaaS: Migrating and Building Scalable and Secure Cloud Solutions
Practical Microsoft Azure IaaS: Migrating and Building Scalable and Secure Cloud Solutions
Adopt Azure IaaS and migrate your on-premise infrastructure partially or fully to Azure. This book provides practical solutions by following Microsoft’s design and best practice guidelines for building highly available, scalable, and secure solution stacks using Microsoft Azure IaaS. 

The author starts by
...
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...
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...
Beginning DAX with Power BI: The SQL Pro’s Guide to Better Business Intelligence
Beginning DAX with Power BI: The SQL Pro’s Guide to Better Business Intelligence
Attention all SQL Pros, DAX is not just for writing Excel-based formulas! Get hands-on learning and expert advice on how to use the vast capabilities of the DAX language to solve common data modeling challenges.

Beginning DAX with Power BI teaches key concepts such as mapping techniques from SQL to DAX, filtering,...

Advanced Raspberry Pi: Raspbian Linux and GPIO Integration
Advanced Raspberry Pi: Raspbian Linux and GPIO Integration

Jump right into the pro-level guts of the Raspberry Pi with complete schematics and detailed hardware explanations as your guide. You'll tinker with runlevels, reporting voltages and temperatures, and work on a variety of project examples that you can tune for your own project ideas.. 

This book is fully updated...

Mastering PostgreSQL 11: Expert techniques to build scalable, reliable, and fault-tolerant database applications, 2nd Edition
Mastering PostgreSQL 11: Expert techniques to build scalable, reliable, and fault-tolerant database applications, 2nd Edition

Master the capabilities of PostgreSQL 11 to efficiently manage and maintain your database

Key Features

  • Master advanced concepts of PostgreSQL 11 with real-world datasets and examples
  • Explore query parallelism, data replication, and database performance while working with...
Pro Machine Learning Algorithms: A Hands-On Approach to Implementing Algorithms in Python and R
Pro Machine Learning Algorithms: A Hands-On Approach to Implementing Algorithms in Python and R
Bridge the gap between a high-level understanding of how an algorithm works and knowing the nuts and bolts to tune your models better. This book will give you the confidence and skills when developing all the major machine learning models. In Pro Machine Learning Algorithms, you will first develop the algorithm in Excel so...
Python Graphics: A Reference for Creating 2D and 3D Images
Python Graphics: A Reference for Creating 2D and 3D Images
Use Python's built-in features to create innovative graphics for data visualization and technical illustrations. This book goes beyond simple commands and libraries to explain how to not only display but also rotate, shade, and edit graphics for any purpose. 

Starting with the essential Python functions to set up a
...
Mastering PostgreSQL 10: Expert techniques on PostgreSQL 10 development and administration
Mastering PostgreSQL 10: Expert techniques on PostgreSQL 10 development and administration

Master the capabilities of PostgreSQL 10 to efficiently manage and maintain your database

Key Features

  • Your one-stop guide to mastering advanced concepts in PostgreSQL 10 with ease
  • Master query optimization, replication, and high availability with PostgreSQL
  • ...
Mastering Machine Learning Algorithms: Expert techniques to implement popular machine learning algorithms and fine-tune your models
Mastering Machine Learning Algorithms: Expert techniques to implement popular machine learning algorithms and fine-tune your models

Explore and master the most important algorithms for solving complex machine learning problems.

Key Features

  • Discover high-performing machine learning algorithms and understand how they work in depth
  • One-stop solution to mastering supervised, unsupervised, and...
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