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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...
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...
Modelling and Reasoning with Vague Concepts
Modelling and Reasoning with Vague Concepts
Vagueness is central to the flexibility and robustness of natural language descriptions. Vague concepts are robust to the imprecision of our perceptions, while still allowing us to convey useful, and sometimes vital, information. The study of vagueness in Artificial Intelligence (AI) is therefore motivated by the desire to incorporate this...
101 Boardroom Problems and How to Solve Them
101 Boardroom Problems and How to Solve Them
Before becoming a consultant on meetings and effective decision making, I was employed as an engineer. My motto then was: Silence is golden. Keeping quiet in meetings was safe and risk-free, and rarely did anyone solicit my ideas anyway. Had I shared my input, however, it might have improved the quality of my team’s decisions and reduced its...
The Scrumban [R]Evolution: Getting the Most Out of Agile, Scrum, and Lean Kanban (Agile Software Development Series)
The Scrumban [R]Evolution: Getting the Most Out of Agile, Scrum, and Lean Kanban (Agile Software Development Series)

Create Thriving, High-Performing Teams and Organizations with Scrumban

 

Scrumban allows you to use Kanban as a catalyst for increasingly valuable changes to your existing software development processes, amplifying and expanding upon Scrum’s...

Solaris 8: The Complete Reference
Solaris 8: The Complete Reference
Clients often ask why we choose Solaris as an operating environment. Is it a decision based on price? Is it an attraction to the latest gizmo features, each with its own four-letter acronym? Do we have a cozy arrangement with Sun Microsystems to promote their operating system? The answer to each of these questions is no, no, NO!  ...
Multimedia Data Mining and Knowledge Discovery
Multimedia Data Mining and Knowledge Discovery
Multimedia information is ubiquitous and essential in many applications, and repositories of multimedia are numerous and extremely large. Consequently, researchers and professionals need new techniques and tools for extracting the hidden, useful knowledge embedded within multimedia collections, thereby helping them discover relationships between...
Autonomous Mobile Robots: Sensing, Control, Decision Making and Applications (Control Engineering)
Autonomous Mobile Robots: Sensing, Control, Decision Making and Applications (Control Engineering)
It has long been the goal of engineers to develop tools that enhance our ability to do work, increase our quality of life, or perform tasks that are either beyond our ability, too hazardous, or too tedious to be left to human efforts. Autonomous mobile robots are the culmination of decades of research and development, and their potential is...
Fundamentals of the Fuzzy Logic-Based Generalized Theory of Decisions (Studies in Fuzziness and Soft Computing)
Fundamentals of the Fuzzy Logic-Based Generalized Theory of Decisions (Studies in Fuzziness and Soft Computing)

Every day decision making and decision making in complex human-centric systems are characterized by imperfect decision-relevant information. Main drawback of the existing decision theories is namely incapability to deal with imperfect information and modeling vague preferences. Actually, a paradigm of non-numerical probabilities in decision...

Using Game Theory to Improve Safety within Chemical Industrial Parks
Using Game Theory to Improve Safety within Chemical Industrial Parks

Though the game-theoretic approach has been vastly studied and utilized in relation to economics of industrial organizations, it has hardly been used to tackle safety management in multi-plant chemical industrial settings. Using Game Theory for Improving Safety within Chemical Industrial Parks presents an in-depth discussion of...

Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

Graphics in this book are printed in black and white.

Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data....

Never Bet the Farm: How Entrepreneurs Take Risks, Make Decisionsand How You Can, Too
Never Bet the Farm: How Entrepreneurs Take Risks, Make Decisionsand How You Can, Too
In Never Bet the Farm two leading entrepreneurs, Anthony Iaquinto and Stephen Spinelli, turn much of the so-called expert advice for entrepreneurs on its head. They show that by preparing for setbacks and using a framework that can help reduce risks and simplify decision making, entrepreneurs can increase their probability for success....
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