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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.  

...

Java Deep Learning Projects: Implement 10 real-world deep learning applications using Deeplearning4j and open source APIs
Java Deep Learning Projects: Implement 10 real-world deep learning applications using Deeplearning4j and open source APIs

Build and deploy powerful neural network models using the latest Java deep learning libraries

Key Features

  • Understand DL with Java by implementing real-world projects
  • Master implementations of various ANN models and build your own DL systems
  • Develop...
Hands-On Bitcoin Programming with Python: Build powerful online payment centric applications with Python
Hands-On Bitcoin Programming with Python: Build powerful online payment centric applications with Python

Simplified Python programming for Bitcoin and blockchain

Key Features

  • Build Bitcoin applications in Python with the help of simple examples
  • Mine Bitcoins, program Bitcoin-enabled APIs and transaction graphs, and build trading bots
  • Analyze Bitcoin...
Scala Machine Learning Projects: Build real-world machine learning and deep learning projects with Scala
Scala Machine Learning Projects: Build real-world machine learning and deep learning projects with Scala

Powerful smart applications using deep learning algorithms to dominate numerical computing, deep learning, and functional programming.

Key Features

  • Explore machine learning techniques with prominent open source Scala libraries such as Spark ML, H2O, MXNet, Zeppelin, and DeepLearning4j
  • ...
Machine Learning in Java: Helpful techniques to design, build, and deploy powerful machine learning applications in Java, 2nd Edition
Machine Learning in Java: Helpful techniques to design, build, and deploy powerful machine learning applications in Java, 2nd Edition

Leverage the power of Java and its associated machine learning libraries to build powerful predictive models

Key Features

  • Solve predictive modeling problems using the most popular machine learning Java libraries
  • Explore data processing, machine learning, and NLP concepts...
Mastering Exploratory Analysis with pandas: Build an end-to-end data analysis workflow with Python
Mastering Exploratory Analysis with pandas: Build an end-to-end data analysis workflow with Python

Explore Python frameworks like pandas, Jupyter notebooks, and Matplotlib to build data pipelines and data visualization

Key Features

  • Learn to set up data analysis pipelines with pandas and Jupyter notebooks
  • Effective techniques for data selection, manipulation, and...
Advanced Data Analytics Using Python: With Machine Learning, Deep Learning and NLP Examples
Advanced Data Analytics Using Python: With Machine Learning, Deep Learning and NLP Examples
Gain a broad foundation of advanced data analytics concepts and discover the recent revolution in databases such as Neo4j, Elasticsearch, and MongoDB. This book discusses how to implement ETL techniques including topical crawling, which is applied in domains such as...
Hands-On Markov Models with Python: Implement probabilistic models for learning complex data sequences using the Python ecosystem
Hands-On Markov Models with Python: Implement probabilistic models for learning complex data sequences using the Python ecosystem

Unleash the power of unsupervised machine learning in Hidden Markov Models using TensorFlow, pgmpy, and hmmlearn

Key Features

  • Build a variety of Hidden Markov Models (HMM)
  • Create and apply models to any sequence of data to analyze, predict, and extract valuable...
Practical Scala DSLs: Real-World Applications Using Domain Specific Languages
Practical Scala DSLs: Real-World Applications Using Domain Specific Languages
Build domain specific languages (DSLs) using Java's most popular functional programming language: Scala. This book introduces the basics of Scala and DSLs using a series of practical examples. In Practical Scala DSLs, you’ll learn to create pragmatic and complete code examples that explain the actual use of...
Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more
Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more

This practical guide will teach you how deep learning (DL) can be used to solve complex real-world problems.

Key Features

  • Explore deep reinforcement learning (RL), from the first principles to the latest algorithms
  • Evaluate high-profile RL methods, including value...
Investigating Cryptocurrencies: Understanding, Extracting, and Analyzing Blockchain Evidence
Investigating Cryptocurrencies: Understanding, Extracting, and Analyzing Blockchain Evidence

Investigate crimes involving cryptocurrencies and other blockchain technologies

Bitcoin has traditionally been the payment system of choice for a criminal trading on the Dark Web, and now many other blockchain cryptocurrencies are entering the mainstream as traders are accepting them from low-end investors putting their...

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