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Author : Luca Anderlini
Publisher :
ISBN 13 :
Total Pages : 68 pages
Book Rating : 4.F/5 ( download)
Download or read book The Evolution of Algorithmic Learning Rules written by Luca Anderlini and published by . This book was released on 1996 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Stefan Jansen
Publisher : Packt Publishing Ltd
ISBN 13 : 1839216786
Total Pages : 822 pages
Book Rating : 4.8/5 (392 download)
Download or read book Machine Learning for Algorithmic Trading written by Stefan Jansen and published by Packt Publishing Ltd. This book was released on 2020-07-31 with total page 822 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leverage machine learning to design and back-test automated trading strategies for real-world markets using pandas, TA-Lib, scikit-learn, LightGBM, SpaCy, Gensim, TensorFlow 2, Zipline, backtrader, Alphalens, and pyfolio. Purchase of the print or Kindle book includes a free eBook in the PDF format. Key FeaturesDesign, train, and evaluate machine learning algorithms that underpin automated trading strategiesCreate a research and strategy development process to apply predictive modeling to trading decisionsLeverage NLP and deep learning to extract tradeable signals from market and alternative dataBook Description The explosive growth of digital data has boosted the demand for expertise in trading strategies that use machine learning (ML). This revised and expanded second edition enables you to build and evaluate sophisticated supervised, unsupervised, and reinforcement learning models. This book introduces end-to-end machine learning for the trading workflow, from the idea and feature engineering to model optimization, strategy design, and backtesting. It illustrates this by using examples ranging from linear models and tree-based ensembles to deep-learning techniques from cutting edge research. This edition shows how to work with market, fundamental, and alternative data, such as tick data, minute and daily bars, SEC filings, earnings call transcripts, financial news, or satellite images to generate tradeable signals. It illustrates how to engineer financial features or alpha factors that enable an ML model to predict returns from price data for US and international stocks and ETFs. It also shows how to assess the signal content of new features using Alphalens and SHAP values and includes a new appendix with over one hundred alpha factor examples. By the end, you will be proficient in translating ML model predictions into a trading strategy that operates at daily or intraday horizons, and in evaluating its performance. What you will learnLeverage market, fundamental, and alternative text and image dataResearch and evaluate alpha factors using statistics, Alphalens, and SHAP valuesImplement machine learning techniques to solve investment and trading problemsBacktest and evaluate trading strategies based on machine learning using Zipline and BacktraderOptimize portfolio risk and performance analysis using pandas, NumPy, and pyfolioCreate a pairs trading strategy based on cointegration for US equities and ETFsTrain a gradient boosting model to predict intraday returns using AlgoSeek's high-quality trades and quotes dataWho this book is for If you are a data analyst, data scientist, Python developer, investment analyst, or portfolio manager interested in getting hands-on machine learning knowledge for trading, this book is for you. This book is for you if you want to learn how to extract value from a diverse set of data sources using machine learning to design your own systematic trading strategies. Some understanding of Python and machine learning techniques is required.
Author : Juan Ramon Rabunal
Publisher : IGI Global
ISBN 13 : 1599048507
Total Pages : 1640 pages
Book Rating : 4.5/5 (99 download)
Download or read book Encyclopedia of Artificial Intelligence written by Juan Ramon Rabunal and published by IGI Global. This book was released on 2009-01-01 with total page 1640 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book is a comprehensive and in-depth reference to the most recent developments in the field covering theoretical developments, techniques, technologies, among others"--Provided by publisher.
Author : Gisele L. Pappa
Publisher : Springer Science & Business Media
ISBN 13 : 3642025412
Total Pages : 198 pages
Book Rating : 4.6/5 (42 download)
Download or read book Automating the Design of Data Mining Algorithms written by Gisele L. Pappa and published by Springer Science & Business Media. This book was released on 2009-10-27 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data mining is a very active research area with many successful real-world app- cations. It consists of a set of concepts and methods used to extract interesting or useful knowledge (or patterns) from real-world datasets, providing valuable support for decision making in industry, business, government, and science. Although there are already many types of data mining algorithms available in the literature, it is still dif cult for users to choose the best possible data mining algorithm for their particular data mining problem. In addition, data mining al- rithms have been manually designed; therefore they incorporate human biases and preferences. This book proposes a new approach to the design of data mining algorithms. - stead of relying on the slow and ad hoc process of manual algorithm design, this book proposes systematically automating the design of data mining algorithms with an evolutionary computation approach. More precisely, we propose a genetic p- gramming system (a type of evolutionary computation method that evolves c- puter programs) to automate the design of rule induction algorithms, a type of cl- si cation method that discovers a set of classi cation rules from data. We focus on genetic programming in this book because it is the paradigmatic type of machine learning method for automating the generation of programs and because it has the advantage of performing a global search in the space of candidate solutions (data mining algorithms in our case), but in principle other types of search methods for this task could be investigated in the future.
Author : Satchidananda Dehuri
Publisher : World Scientific
ISBN 13 : 1908978449
Total Pages : 325 pages
Book Rating : 4.9/5 (89 download)
Download or read book Knowledge Mining Using Intelligent Agents written by Satchidananda Dehuri and published by World Scientific. This book was released on 2010-12-21 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge Mining Using Intelligent Agents explores the concept of knowledge discovery processes and enhances decision-making capability through the use of intelligent agents like ants, termites and honey bees. In order to provide readers with an integrated set of concepts and techniques for understanding knowledge discovery and its practical utility, this book blends two distinct disciplines — data mining and knowledge discovery process, and intelligent agents-based computing (swarm intelligence and computational intelligence). For the more advanced reader, researchers, and decision/policy-makers are given an insight into emerging technologies and their possible hybridization, which can be used for activities like dredging, capturing, distributions and the utilization of knowledge in their domain of interest (i.e. business, policy-making, etc.).By studying the behavior of swarm intelligence, this book aims to integrate the computational intelligence paradigm and intelligent distributed agents architecture to optimize various engineering problems and efficiently represent knowledge from the large gamut of data.
Author : Shai Shalev-Shwartz
Publisher : Cambridge University Press
ISBN 13 : 1107057132
Total Pages : 415 pages
Book Rating : 4.1/5 (7 download)
Download or read book Understanding Machine Learning written by Shai Shalev-Shwartz and published by Cambridge University Press. This book was released on 2014-05-19 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.
Author : Arun K. Sharma
Publisher : Springer Science & Business Media
ISBN 13 : 9783540618638
Total Pages : 362 pages
Book Rating : 4.6/5 (186 download)
Download or read book Algorithmic Learning Theory written by Arun K. Sharma and published by Springer Science & Business Media. This book was released on 1996-10-09 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 7th International Workshop on Algorithmic Learning Theory, ALT '96, held in Sydney, Australia, in October 1996. The 16 revised full papers presented were selected from 41 submissions; also included are eight short papers as well as four full length invited contributions by Ross Quinlan, Takeshi Shinohara, Leslie Valiant, and Paul Vitanyi, and an introduction by the volume editors. The book covers all areas related to algorithmic learning theory, ranging from theoretical foundations of machine learning to applications in several areas.
Author : Setsuo Arikawa
Publisher : Springer
ISBN 13 :
Total Pages : 464 pages
Book Rating : 4.E/5 ( download)
Download or read book Algorithmic Learning Theory written by Setsuo Arikawa and published by Springer. This book was released on 1990 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Woodrow Barfield
Publisher : Cambridge University Press
ISBN 13 : 1108663184
Total Pages : 1327 pages
Book Rating : 4.1/5 (86 download)
Download or read book The Cambridge Handbook of the Law of Algorithms written by Woodrow Barfield and published by Cambridge University Press. This book was released on 2020-11-05 with total page 1327 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algorithms are a fundamental building block of artificial intelligence - and, increasingly, society - but our legal institutions have largely failed to recognize or respond to this reality. The Cambridge Handbook of the Law of Algorithms, which features contributions from US, EU, and Asian legal scholars, discusses the specific challenges algorithms pose not only to current law, but also - as algorithms replace people as decision makers - to the foundations of society itself. The work includes wide coverage of the law as it relates to algorithms, with chapters analyzing how human biases have crept into algorithmic decision-making about who receives housing or credit, the length of sentences for defendants convicted of crimes, and many other decisions that impact constitutionally protected groups. Other issues covered in the work include the impact of algorithms on the law of free speech, intellectual property, and commercial and human rights law.
Author : Cecilia M. Heyes
Publisher : MIT Press
ISBN 13 : 9780262082860
Total Pages : 412 pages
Book Rating : 4.0/5 (828 download)
Download or read book The Evolution of Cognition written by Cecilia M. Heyes and published by MIT Press. This book was released on 2000 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the last decade, "evolutionary psychology" has come to refer exclusively to research on human mentality and behavior, motivated by a nativist interpretation of how evolution operates. This book encompasses the behavior and mentality of nonhuman as well as human animals and a full range of evolutionary approaches. Rather than a collection by and for the like-minded, it is a debate about how evolutionary processes have shaped cognition. The debate is divided into five sections: Orientations, on the phylogenetic, ecological, and psychological/comparative approaches to the evolution of cognition; Categorization, on how various animals parse their environments, how they represent objects and events and the relations among them; Causality, on whether and in what ways nonhuman animals represent cause and effect relationships; Consciousness, on whether it makes sense to talk about the evolution of consciousness and whether the phenomenon can be investigated empirically in nonhuman animals; and Culture, on the cognitive requirements for nongenetic transmission of information and the evolutionary consequences of such cultural exchange. ContributorsBernard Balleine, Patrick Bateson, Michael J. Beran, M. E. Bitterman, Robert Boyd, Nicola Clayton, Juan Delius, Anthony Dickinson, Robin Dunbar, D.P. Griffiths, Bernd Heinrich, Cecilia Heyes, William A. Hillix, Ludwig Huber, Nicholas Humphrey, Masako Jitsumori, Louis Lefebvre, Nicholas Mackintosh, Euan M. Macphail, Peter Richerson, Duane M. Rumbaugh, Sara Shettleworth, Martina Siemann, Kim Sterelny, Michael Tomasello, Laura Weiser, Alexandra Wells, Carolyn Wilczynski, David Sloan Wilson
Author : Stephan Sigg
Publisher : kassel university press GmbH
ISBN 13 : 3899583922
Total Pages : 280 pages
Book Rating : 4.8/5 (995 download)
Download or read book Development of a Novel Context Prediction Algorithm and Analysis of Context Prediction Schemes written by Stephan Sigg and published by kassel university press GmbH. This book was released on 2008 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Shuji Doshita
Publisher : Springer Science & Business Media
ISBN 13 : 9783540573692
Total Pages : 276 pages
Book Rating : 4.5/5 (736 download)
Download or read book Algorithmic Learning Theory - ALT '92 written by Shuji Doshita and published by Springer Science & Business Media. This book was released on 1993-10-20 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the papers that were presented at the Third Workshop onAlgorithmic Learning Theory, held in Tokyo in October 1992. In addition to 3invited papers, the volume contains 19 papers accepted for presentation, selected from 29 submitted extended abstracts. The ALT workshops have been held annually since 1990 and are organized and sponsored by the Japanese Society for Artificial Intelligence. The main objective of these workshops is to provide an open forum for discussions and exchanges of ideasbetween researchers from various backgrounds in this emerging, interdisciplinary field of learning theory. The volume is organized into parts on learning via query, neural networks, inductive inference, analogical reasoning, and approximate learning.
Author : Klaus P. Jantke
Publisher : Springer Science & Business Media
ISBN 13 : 9783540573708
Total Pages : 444 pages
Book Rating : 4.5/5 (737 download)
Download or read book Algorithmic Learning Theory written by Klaus P. Jantke and published by Springer Science & Business Media. This book was released on 1993-10-20 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: Annotation This volume contains the papers that were presented at theThird Workshop onAlgorithmic Learning Theory, held in Tokyoin October 1992. In addition to 3invited papers, the volumecontains 19 papers accepted for presentation, selected from29 submitted extended abstracts. The ALT workshops have beenheld annually since 1990 and are organized and sponsored bythe Japanese Society for Artificial Intelligence. The mainobjective of these workshops is to provide an open forum fordiscussions and exchanges of ideasbetween researchers fromvarious backgrounds in this emerging, interdisciplinaryfield of learning theory. The volume is organized into partson learning via query, neural networks, inductive inference, analogical reasoning, and approximate learning.
Author : Pedro Domingos
Publisher :
ISBN 13 : 0465065708
Total Pages : 354 pages
Book Rating : 4.4/5 (65 download)
Download or read book The Master Algorithm written by Pedro Domingos and published by . This book was released on 2015-09-22 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Describes the quest to find the Master Algorithm, which will take machine learning to the next level, allowing computers to learn how to solve not just particular problems but any problem, "--Novelist.
Author : Ankur Moitra
Publisher : Cambridge University Press
ISBN 13 : 1107184584
Total Pages : 161 pages
Book Rating : 4.1/5 (71 download)
Download or read book Algorithmic Aspects of Machine Learning written by Ankur Moitra and published by Cambridge University Press. This book was released on 2018-09-27 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces cutting-edge research on machine learning theory and practice, providing an accessible, modern algorithmic toolkit.
Author : Aboul-Ella Hassanien
Publisher : Springer Science & Business Media
ISBN 13 : 3642010814
Total Pages : 401 pages
Book Rating : 4.6/5 (42 download)
Download or read book Foundations of Computational Intelligence written by Aboul-Ella Hassanien and published by Springer Science & Business Media. This book was released on 2009-05-05 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent years have seen numerous applications across a variety of fields using various techniques of Computational Intelligence. This book, one of a series on the foundations of Computational Intelligence, is focused on learning and approximation.
Author : Robert Boyd
Publisher : Oxford University Press
ISBN 13 : 9780195347449
Total Pages : 464 pages
Book Rating : 4.3/5 (474 download)
Download or read book The Origin and Evolution of Cultures written by Robert Boyd and published by Oxford University Press. This book was released on 2005-01-20 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: Oxford presents, in one convenient and coherently organized volume, 20 influential but until now relatively inaccessible articles that form the backbone of Boyd and Richerson's path-breaking work on evolution and culture. Their interdisciplinary research is based on two notions. First, that culture is crucial for understanding human behavior; unlike other organisms, socially transmitted beliefs, attitudes, and values heavily influence our behavior. Secondly, culture is part of biology: the capacity to acquire and transmit culture is a derived component of human psychology, and the contents of culture are deeply intertwined with our biology. Culture then is a pool of information, stored in the brains of the population that gets transmitted from one brain to another by social learning processes. Therefore, culture can account for both our outstanding ecological success as well as the maladaptations that characterize much of human behavior. The interest in this collection will span anthropology, psychology, economics, philosophy, and political science.
