Big Data Analysis: New Algorithms for a New Society, Japkowicz Nathalie, Stefanowski Jerzy
Автор: Koushik Ghosh, Souvik Bhattacharyya Название: Noise Filtering for Big Data Analytics ISBN: 3110697092 ISBN-13(EAN): 9783110697094 Издательство: Walter de Gruyter Рейтинг: Цена: 26024.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explains how to perform data de-noising, in large scale, with a satisfactory level of accuracy. Three main issues are considered. Firstly, how to eliminate the error propagation from one stage to next stages while developing a filtered model.
Secondly, how to maintain the positional importance of data whilst purifying it. Finally, preservation of memory in the data is crucial to extract smart data from noisy big data. If, after the application of any form of smoothing or filtering, the memory of the corresponding data changes heavily, then the final data may lose some important information.
This may lead to wrong or erroneous conclusions. But, when anticipating any loss of information due to smoothing or filtering, one cannot avoid the process of denoising as on the other hand any kind of analysis of big data in the presence of noise can be misleading. So, the entire process demands very careful execution with efficient and smart models in order to effectively deal with it.
Mastering Machine Learning with Python: A Step-by-Step Guide (That ANYONE Can Follow)
Learn Why You Might Be Failing at Python Programming and How You Can Fix It.
Learn the essential tools every beginner should know about Python. Get the methods that will help you complete your projects successfully like the pros. This is the book every aspiring programmer needs to have. Learn how to try fresh ideas and learn problem solving, improve your programming skills, but above all, boost your confidence. Imagination and creativity will open the door to new projects you never thought possible.
Are you disappointed and overwhelmed by too much, and even contradicting, information on the internet?
Highly unrealistic and time-consuming projects?
Small details are missing, and instructions are confusing?
See what (really) goes into Python programming that works. Don't hesitate and get Python Machine Learningand start your journey now If you are tired of failed and time-consuming projects, the grab your copy and find lots of brain-boosting ideas inside. Get actionable tips to finish your projects the way you always wanted. Discover why Python is much better than traditional methods. With the help of this guide, you can bring out your inner potential. Start your journey today.
Here's what you will love about this book:
What is Python Machine Learning, anyway? Here's how to get started.
Find out the "Whys" and "Hows" of Python
The One PROVEN Way for Effective Implementation of Machine Learning Algorithms
Find Out the EASIEST Way for Mastering Machine Learning with Python.
Learn Importance of Learning Data Analysis in Python.
The truth about Deep Learning vs Machine Learning
The Secret to Machine Learning with Scikit-Learn
Discover Deep Learning with TensorFlow.
The Essential Key Tips & Tricks for Deep Learning with PyTorch and Keras.
Find out The Role of Machine Learning in the Internet of Things (IoT)
Looking to the Future with Machine Learning. The Business Angle.
A beginners' friendly book with easy to follow tips.
And much more, this is truly a must-have guide
Wide-ranging support libraries and user-friendly data structures are not the only advantages of Python Programming for Machine Learning and Deep Learning, enjoy the versatility, efficiency and ease of use of this high-level programming language. With the help of this guide, you can develop projects with ease as soon as today. Clear information and instructions mean well analyzed, assessed and developed projects that are easier to apply and bring much better results, and it's even good to keep up a positive attitude. But above all, learning the basics and all the fundamentals the right way is an important part of leading an effective and satisfying programming experience. Start your journey today.
No more frustration, If you keep failing every time to finish your projects, then you need to get the new book by Zach Codings: Python Machine Learning A Beginner's Guide to Python Programming for Machine Learning and Deep Learning, Data Analysis, Algorithms and Data Science With Scikit Learn, TensorFlow, PyTorch and Keras. Get your copy today.
Are you ready?
Scroll up and click the "add to cart" button to buy now
Learn Machine Learning, Deep Learning, Data Science and More
Machine learning is here; it is changing the world in ways you might not know yet. From search engines to speech recognition on your phone, machine learning is taking over.
If you have taken an interest in machine learning and want to learn how it all works, then you need some guidance before you can dive-in to the complicated stuff.
This book explains machine learning, in simple English, for beginners of all levels.
In this book, you will learn how machines are able to use data to learn on their own, discover how you can create sophisticated programs without the need for complex programming, and see daily applications of machine learning in action
Here's what you will find inside:
Introduction to machine learning from history, types of machine learning and examples.
Basics of machine learning: You will learn about datasets and see examples of the ones you can download
Machine learning algorithms: You will learn about neural networks and see practical applications of machine learning and deep learning algorithms
Machine learning software: You will get started with machine learning and see some of the most popular scientific computing software platforms.
Artificial intelligence and why it is important: You will learn how artificial intelligence relates to machine learning and what the future looks like.
You will get access to datasets and machine learning software so you can try out your very own machine learning project.
FAQ
Q: Do I need prior programming experience to make use of the book?
A: No. This book is intended for complete beginners to machine learning. The language used is simple and the reader is taken from one concept to the next in a progressive manner.
Q: Will this book make an expert in machine learning?
A: This book is intended to give beginners a firm introduction into machine learning so they are better placed to understand advanced machine learning concepts.
Автор: Serge Abiteboul, Gilles Dowek Название: The Age of Algorithms ISBN: 1108484573 ISBN-13(EAN): 9781108484572 Издательство: Cambridge Academ Рейтинг: Цена: 7602.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Algorithms have transformed our society, upsetting the concepts of work, property, government, even humanity. We rejoice that they make life easier, but fear that they will enslave us. Going beyond visions of good vs evil, this book takes a new look at our time, the age of algorithms. Algorithms will be what we want them to be: it`s up to us.
Автор: Nathalie Japkowicz; Jerzy Stefanowski Название: Big Data Analysis: New Algorithms for a New Society ISBN: 3319269879 ISBN-13(EAN): 9783319269870 Издательство: Springer Рейтинг: Цена: 20896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This edited volume is devoted to Big Data Analysis from a Machine Learning standpoint as presented by some of the most eminent researchers in this area.
Описание: THE SERIES: INTELLIGENT BIOMEDICAL DATA ANALYSIS By focusing on the methods and tools for intelligent data analysis, this series aims to narrow the increasing gap between data gathering and data comprehension. Emphasis is also given to the problems resulting from automated data collection in modern hospitals, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring. In medicine, overcoming this gap is crucial since medical decision making needs to be supported by arguments based on existing medical knowledge as well as information, regularities and trends extracted from big data sets.
Описание: The digital age is ripe with emerging advances and applications in technological innovations. Mimicking the structure of complex systems in nature can provide new ideas on how to organize mechanical and personal systems.The Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms is an essential scholarly resource on current algorithms that have been inspired by the natural world. Featuring coverage on diverse topics such as cellular automata, simulated annealing, genetic programming, and differential evolution, this reference publication is ideal for scientists, biological engineers, academics, students, and researchers that are interested in discovering what models from nature influence the current technology-centric world.
Автор: Xingni Zhou, Zhiyuan Ren, Yanzhuo Ma, Kai Fan, Ji Xiang Название: Non-linear Data Structures and Data Processing ISBN: 3110676052 ISBN-13(EAN): 9783110676051 Издательство: Walter de Gruyter Цена: 12078.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
The systematic description starts with basic theory and applications of different kinds of data structures, including storage structures and models. It also explores on data processing methods such as sorting, index and search technologies. Due to its numerous exercises the book is a helpful reference for graduate students, lecturers.
Автор: Binxing Fang, Yan Jia Название: Groups and Interaction ISBN: 3110597772 ISBN-13(EAN): 9783110597776 Издательство: Walter de Gruyter Рейтинг: Цена: 16169.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The three volume set provides a systematic overview of theories and technique on social network analysis.Volume 2 of the set mainly focuses on the formation and interaction of group behaviors. Users’ behavior analysis, sentiment analysis, influence analysis and collective aggregation are discussed in detail as well. It is an essential reference for scientist and professionals in computer science.
Автор: Binxing Fang, Yan Jia Название: Structure and Evolution ISBN: 3110596067 ISBN-13(EAN): 9783110596069 Издательство: Walter de Gruyter Рейтинг: Цена: 16169.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The three volume set provides a systematic overview of theories and technique on social network analysis. Volume 1 of the set mainly focuses on the structure characteristics, the modeling, and the evolution mechanism of social network analysis. Techniques and approaches for virtual community detection are discussed in detail as well. It is an essential reference for scientist and professionals in computer science.
Автор: Xingni Zhou, Zhiyuan Ren, Yanzhuo Ma, Kai Fan, Ji Xiang Название: Data structures based on linear relations ISBN: 3110595575 ISBN-13(EAN): 9783110595574 Издательство: Walter de Gruyter Цена: 12078.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Data structures is a key course for computer science and related majors. This book presents a variety of practical or engineering cases and derives abstract concepts from concrete problems. Besides basic concepts and analysis methods, it introduces basic data types such as sequential list, tree as well as graph. This book can be used as an undergraduate textbook, as a training textbook or a self-study textbook for engineers.
Автор: Baochang Zhang Название: Machine Learning and Visual Perception ISBN: 3110595532 ISBN-13(EAN): 9783110595536 Издательство: Walter de Gruyter Цена: 9288.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Machine Learning and Visual Perception provides an up-to-date overview on the topic, including the PAC model, decision tree, Bayesian learning, support vector machines, AdaBoost, compressive sensing and so on.Both classic and novel algorithms are introduced in classifier design, face recognition, deep learning, time series recognition, image classification, and object detection.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
