Download or read book A Machine Method of Calculating the Pearson Correlation Coefficient written by E. E. Tremmel and published by . This book was released on 1930 with total page 15 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Statistical Methods for Machine Learning written by Jason Brownlee and published by Machine Learning Mastery. This book was released on 2018-05-30 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistics is a pillar of machine learning. You cannot develop a deep understanding and application of machine learning without it. Cut through the equations, Greek letters, and confusion, and discover the topics in statistics that you need to know. Using clear explanations, standard Python libraries, and step-by-step tutorial lessons, you will discover the importance of statistical methods to machine learning, summary stats, hypothesis testing, nonparametric stats, resampling methods, and much more.

Download or read book Mastering Machine Learning for Penetration Testing written by Chiheb Chebbi and published by Packt Publishing Ltd. This book was released on 2018-06-27 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Become a master at penetration testing using machine learning with Python Key Features Identify ambiguities and breach intelligent security systems Perform unique cyber attacks to breach robust systems Learn to leverage machine learning algorithms Book Description Cyber security is crucial for both businesses and individuals. As systems are getting smarter, we now see machine learning interrupting computer security. With the adoption of machine learning in upcoming security products, it’s important for pentesters and security researchers to understand how these systems work, and to breach them for testing purposes. This book begins with the basics of machine learning and the algorithms used to build robust systems. Once you’ve gained a fair understanding of how security products leverage machine learning, you'll dive into the core concepts of breaching such systems. Through practical use cases, you’ll see how to find loopholes and surpass a self-learning security system. As you make your way through the chapters, you’ll focus on topics such as network intrusion detection and AV and IDS evasion. We’ll also cover the best practices when identifying ambiguities, and extensive techniques to breach an intelligent system. By the end of this book, you will be well-versed with identifying loopholes in a self-learning security system and will be able to efficiently breach a machine learning system. What you will learn Take an in-depth look at machine learning Get to know natural language processing (NLP) Understand malware feature engineering Build generative adversarial networks using Python libraries Work on threat hunting with machine learning and the ELK stack Explore the best practices for machine learning Who this book is for This book is for pen testers and security professionals who are interested in learning techniques to break an intelligent security system. Basic knowledge of Python is needed, but no prior knowledge of machine learning is necessary.

Download or read book Correlation and Machine Calculation written by Henry Agard Wallace and published by . This book was released on 1925 with total page 52 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Practical Statistics written by David Kremelberg and published by SAGE Publications. This book was released on 2010-03-18 with total page 529 pages. Available in PDF, EPUB and Kindle. Book excerpt: Making statistics—and statistical software—accessible and rewarding This book provides readers with step-by-step guidance on running a wide variety of statistical analyses in IBM® SPSS® Statistics, Stata, and other programs. Author David Kremelberg begins his user-friendly text by covering charts and graphs through regression, time-series analysis, and factor analysis. He provides a background of the method, then explains how to run these tests in IBM SPSS and Stata. He then progresses to more advanced kinds of statistics such as HLM and SEM, where he describes the tests and explains how to run these tests in their appropriate software including HLM and AMOS. This is an invaluable guide for upper-level undergraduate and graduate students across the social and behavioral sciences who need assistance in understanding the various statistical packages.

Download or read book New Approaches for the Generation and Analysis of Microbial Typing Data written by L. Dijkshoorn and published by Elsevier. This book was released on 2001-07-10 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rapid molecular identification and typing of micro-organisms is extremely important in efforts to monitor the geographical spread of virulent, epidemic or antibiotic-resistant pathogens. It has become a mainstay of integrated hospital infection control service. In addition, numerous industrial and biotechnological applications require the study of the diversity of organisms. Conventional phenotypic identification and typing methods have long been the mainstay of microbial population and epidemiological studies, but such methods often lack adequate discrimination and their use is normally confined to the group of organisms for which they were originally devised. Molecular fingerprinting methods have flourished in recent years and many of these new methods can be applied to numerous different organisms for a variety of purposes. Standardisation of these methods is vitally important. In addition, the generation of large numbers of complex fingerprint profiles requires that a computer-assisted strategy is used for the formation and analysis of databases. The purpose of this book is to describe the best fingerprinting methods that are currently available and the computer-assisted strategies that can be used for analysis and exchange of data between laboratories. This book is dedicated to the memory of Jan Ursing (1926 - 2000), Swedish microbiologist, taxonomist and philosopher. "...taxonomy is on the borders of philosophy because we do not know the natural continuities and discontinuities..."

Download or read book Machine Learning for Neuroscience written by Chuck Easttom and published by CRC Press. This book was released on 2023-07-31 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the growing need for machine learning and data mining in neuroscience. The book offers a basic overview of the neuroscience, machine learning and the required math and programming necessary to develop reliable working models. The material is presented in a easy to follow user-friendly manner and is replete with fully working machine learning code. Machine Learning for Neuroscience: A Systematic Approach, tackles the needs of neuroscience researchers and practitioners that have very little training relevant to machine learning. The first section of the book provides an overview of necessary topics in order to delve into machine learning, including basic linear algebra and Python programming. The second section provides an overview of neuroscience and is directed to the computer science oriented readers. The section covers neuroanatomy and physiology, cellular neuroscience, neurological disorders and computational neuroscience. The third section of the book then delves into how to apply machine learning and data mining to neuroscience and provides coverage of artificial neural networks (ANN), clustering, and anomaly detection. The book contains fully working code examples with downloadable working code. It also contains lab assignments and quizzes, making it appropriate for use as a textbook. The primary audience is neuroscience researchers who need to delve into machine learning, programmers assigned neuroscience related machine learning projects and students studying methods in computational neuroscience.

Download or read book Computational Statistics and Mathematical Modeling Methods in Intelligent Systems written by Radek Silhavy and published by Springer Nature. This book was released on 2019-09-19 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents real-world problems and exploratory research in computational statistics, mathematical modeling, artificial intelligence and software engineering in the context of the intelligent systems. This book constitutes the refereed proceedings of the 3rd Computational Methods in Systems and Software 2019 (CoMeSySo 2019), a groundbreaking online conference that provides an international forum for discussing the latest high-quality research results.

Download or read book Machine learning for biological sequence analysis written by Quan Zou and published by Frontiers Media SA. This book was released on 2023-03-09 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Mathematical Contributions to the Theory of Evolution written by Karl Pearson and published by . This book was released on 1904 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book The Content and Measurement of the Reading Vocabulary written by Sister Mary Irmina and published by . This book was released on 1927 with total page 840 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Noise Reduction in Speech Processing written by Jacob Benesty and published by Springer Science & Business Media. This book was released on 2009-04-28 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: Noise is everywhere and in most applications that are related to audio and speech, such as human-machine interfaces, hands-free communications, voice over IP (VoIP), hearing aids, teleconferencing/telepresence/telecollaboration systems, and so many others, the signal of interest (usually speech) that is picked up by a microphone is generally contaminated by noise. As a result, the microphone signal has to be cleaned up with digital signal processing tools before it is stored, analyzed, transmitted, or played out. This cleaning process is often called noise reduction and this topic has attracted a considerable amount of research and engineering attention for several decades. One of the objectives of this book is to present in a common framework an overview of the state of the art of noise reduction algorithms in the single-channel (one microphone) case. The focus is on the most useful approaches, i.e., filtering techniques (in different domains) and spectral enhancement methods. The other objective of Noise Reduction in Speech Processing is to derive all these well-known techniques in a rigorous way and prove many fundamental and intuitive results often taken for granted. This book is especially written for graduate students and research engineers who work on noise reduction for speech and audio applications and want to understand the subtle mechanisms behind each approach. Many new and interesting concepts are presented in this text that we hope the readers will find useful and inspiring.

Download or read book A simple method for calculating the correlation coefficients written by Yoshibumi Tomoda and published by . This book was released on 1956 with total page 4 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Machine learning methods for human brain imaging written by Fatos Tunay Yarman Vural and published by Frontiers Media SA. This book was released on 2023-03-29 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Optics and Machine Vision for Marine Observation written by Hong Song and published by Frontiers Media SA. This book was released on 2023-10-13 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Intermediate Statistics Using SPSS written by Herschel Knapp and published by SAGE Publications. This book was released on 2017-09-14 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: What statistical test should I use for this kind of data? How do I set up the data? What parameters should I specify when ordering the test? How do I interpret the results? Herschel Knapp′s friendly and approachable guide to real-world statistics answers these questions. Intermediate Statistics Using SPSS is not about abstract statistical theory or the derivation or memorization of statistical formulas–it is about applied statistics. With jargon-free language and clear processing instructions, this text covers the most common statistical functions–from basic to more advanced. Practical exercises at the conclusion of each chapter offer students an opportunity to process viable data sets, write cohesive abstracts in APA style, and build a thorough comprehension of the statistical process. Students will learn by doing with this truly practical approach to statistics.

Download or read book Deep Learning for Finance written by Sofien Kaabar and published by "O'Reilly Media, Inc.". This book was released on 2024-01-08 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning is rapidly gaining momentum in the world of finance and trading. But for many professional traders, this sophisticated field has a reputation for being complex and difficult. This hands-on guide teaches you how to develop a deep learning trading model from scratch using Python, and it also helps you create and backtest trading algorithms based on machine learning and reinforcement learning. Sofien Kaabar—financial author, trading consultant, and institutional market strategist—introduces deep learning strategies that combine technical and quantitative analyses. By fusing deep learning concepts with technical analysis, this unique book presents outside-the-box ideas in the world of financial trading. This A-Z guide also includes a full introduction to technical analysis, evaluating machine learning algorithms, and algorithm optimization. Understand and create machine learning and deep learning models Explore the details behind reinforcement learning and see how it's used in time series Understand how to interpret performance evaluation metrics Examine technical analysis and learn how it works in financial markets Create technical indicators in Python and combine them with ML models for optimization Evaluate the models' profitability and predictability to understand their limitations and potential