Statistics the Art and Science of Learning From Data 3rd Edition Torrent
four.two (352 Ratings)
Artificial Intelligence
Artificial Intelligence A Mod Approach, 1st Edition
Comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. Number 1 in its field, this textbook is ideal for one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence.
4.0 (18 Ratings)
Artificial Intelligence
Learning Deep Architectures for AI
Foundations and Trends(r) in Machine Learning.
3.five (2 Ratings)
Artificial Intelligence
The Panthera leo Way: Machine Learning plus Intelligent Optimization
Learning and Intelligent Optimization (Lion) is the combination of learning from data and optimization applied to solve circuitous and dynamic problems. Learn about increasing the automation level and connecting data directly to decisions and actions.
iii.five (116 Ratings)
Large Data
Confusing Possibilities: How Big Data Changes Everything
This book provides an historically-informed overview through a broad range of topics, from the evolution of article supercomputing and the simplicity of big data technology, to the ways conventional clouds differ from Hadoop analytics clouds.
iv.ii (116 Ratings)
Computer Science Topics
Computer Vision
Challenging real-world applications where vision is existence successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such equally prototype editing and stitching, which you lot tin can use on you own personal media
Languages: Python
4.1 (473 Ratings)
Information science Topics
Natural Language Processing with Python
This book offers a highly accessible introduction to tongue processing, the field that supports a variety of language technologies, from predictive text and electronic mail filtering to automatic summarization and translation.
Languages: Python
4.0 (50 Ratings)
Informatics Topics
Programming Calculator Vision with Python
If you want a basic understanding of calculator vision's underlying theory and algorithms, this easily-on introduction is the ideal identify to outset. You'll learn techniques for object recognition, 3D reconstruction, stereo imaging, augmented reality, etc
three.7 (175 Ratings)
Data Analysis
The Elements of Data Analytic Style
Information analysis is at least as much art as it is scientific discipline. This book is focused on the details of information analysis that sometimes autumn through the cracks in traditional statistics classes and textbooks.
Data Mining and Car Learning
A Course in Machine Learning
Data Mining and Automobile Learning
A First Meet with Machine Learning
4.1 (5 Ratings)
Information Mining and Machine Learning
Algorithms for Reinforcement Learning
This book gives a very quick only still thorough introduction to reinforcement learning, and includes algorithms for quite a few methods. This is everything a graduate student could enquire for in a text.
Information Mining and Machine Learning
A Programmer's Guide to Information Mining
A guide to applied data mining, collective intelligence, and building recommendation systems by Ron Zacharski. This piece of work is licensed under a Creative Commons license.
4.1 (169 Ratings)
Data Mining and Auto Learning
Bayesian Reasoning and Machine Learning
For final-twelvemonth undergraduates and master's students with limited background in linear algebra and calculus. Comprehensive and coherent, it develops everything from basic reasoning to avant-garde techniques within the framework of graphical models.
Languages: R
Data Mining and Car Learning
Data Mining Algorithms In R
four.2 (12 Ratings)
Data Mining and Car Learning
Data Mining and Analysis: Fundamental Concepts and Algorithms
The main parts of the book include exploratory data analysis, pattern mining, clustering, and classification. The volume lays the basic foundations of these tasks, and also covers many more cutting-edge data mining topics.
3.9 (159 Ratings)
Data Mining and Machine Learning
Information Mining: Practical Motorcar Learning Tools and Techniques
Offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world information mining situations.
Languages: R
4.1 (36 Ratings)
Information Mining and Automobile Learning
Information Mining with Rattle and R
This book aims to go you into data mining quickly. Load some data (e.g., from a database) into the Rattle toolkit and inside minutes you will take the information visualised and some models congenital.
Data Mining and Machine Learning
Deep Learning
The Deep Learning textbook is a resources intended to assist students and practitioners enter the field of machine learning in general and deep learning in particular.
4.two (87 Ratings)
Data Mining and Automobile Learning
Gaussian Processes for Car Learning
A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic arroyo to learning in kernel machines.
4.5 (421 Ratings)
Information Mining and Car Learning
Information Theory, Inference, and Learning Algorithms
"Essential reading for students of electrical technology and computer science; besides a smashing heads-up for mathematics students apropos the subtlety of many commonsense questions." Option
Information Mining and Motorcar Learning
Introduction to Automobile Learning
Data Mining and Motorcar Learning
Introduction to Machine Learning
Data Mining and Machine Learning
KB – Neural Data Mining with Python Sources
Data Mining and Machine Learning
Machine Learning
2.nine (1 Ratings)
Information Mining and Machine Learning
Machine Learning, Neural and Statistical Nomenclature
Data Mining and Automobile Learning
Machine Learning – The Complete Guide
4.3 (24 Ratings)
Information Mining and Machine Learning
Mining of Massive Datasets
Essential reading for students and practitioners, this book focuses on practical algorithms used to solve central problems in information mining, with exercises suitable for students from the advanced undergraduate level and beyond.
Information Mining and Machine Learning
Modeling With Data
Modeling with Data offers a useful alloy of data-driven statistical methods and nuts-and-bolts guidance on implementing those methods. --Pat Hall, founder of Translation Creation
Data Mining and Machine Learning
Neural Networks and Deep Learning
Neural networks and deep learning currently provide the all-time solutions to many bug in epitome recognition, speech recognition, and tongue processing. This book will teach you concepts behind neural networks and deep learning.
Languages: Python
4.0 (151 Ratings)
Information Mining and Machine Learning
Probabilistic Programming & Bayesian Methods for Hackers
illuminates Bayesian inference through probabilistic programming with the powerful PyMC linguistic communication and the closely related Python tools NumPy, SciPy, and Matplotlib. Using this approach, you can reach constructive solutions in small increments.
Data Mining and Machine Learning
Real-World Active Learning
Applications and Strategies for Human-in-the-loop Machine Learning.
four.five (450 Ratings)
Information Mining and Auto Learning
Reinforcement Learning: An Introduction
A clear and uncomplicated account of the key ideas and algorithms of reinforcement learning. Their discussion ranges from the history of the field's intellectual foundations to the near contempo developments and applications.
four.i (1 Ratings)
Data Mining and Machine Learning
Social Media Mining An Introduction
Suitable for utilise in avant-garde undergraduate and beginning graduate courses every bit well as professional short courses, the text contains exercises of different degrees of difficulty that improve understanding and help use concepts in social media mining
Data Mining and Automobile Learning
Theory and Applications for Advanced Text Mining
This book is equanimous of 9 chapters introducing avant-garde text mining techniques. They are diverse techniques from relation extraction to under or less resourced language.
four.two (86 Ratings)
Data Mining and Car Learning
Understanding Machine Learning: From Theory to Algorithms
The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled fashion.
4.0 (three Ratings)
Data Scientific discipline in Full general
An Introduction to Data Science
This volume was adult for the Document of Data Scientific discipline pro- gram at Syracuse Academy's School of Information Studies.
3.8 (217 Ratings)
Information Scientific discipline in General
Data Jujitsu: The Art of Turning Data into Product
Learn how to use a problem's "weight" confronting itself. Learn more about the issues before starting on the solutions—and employ the findings to solve them, or determine whether the problems are worth solving at all.
Data Scientific discipline in General
Schoolhouse of Data Handbook
The Schoolhouse of Information Handbook is a companion text to the School of Data. Its role is something similar a traditional textbook – it will provide the detail and background theory to back up the Schoolhouse of Data courses and challenges.
3.7 (12 Ratings)
Data Science in Full general
The Art of Information Science
This book describes the process of analyzing data. The authors have extensive feel both managing data analysts and conducting their own information analyses, and this volume is a distillation of their experience...
Languages: JavaScript
3.9 (eight Ratings)
Data Visualization
D3 Tips and Tricks
D3 Tips and Tricks is a volume written to help those who may be unfamiliar with JavaScript or web page cosmos go started turning information into visualization.
4.1 (424 Ratings)
Data Visualization
Interactive Data Visualization for the Spider web
Create and publish your own interactive data visualization projects on the Web—even if you have little or no experience with data visualization or web development. Information technology's easy and fun with this practical, easily-on introduction.
iv.1 (27 Ratings)
Distributed Calculating Tools
Data-Intensive Text Processing with MapReduce
MapReduce [45] is a programming model for expressing distributed computations on massive amounts of information and an execution framework for large-scale data processing on clusters of commodity servers. Information technology was originally adult by Google...
Distributed Calculating Tools
Hadoop Illuminated
'Hadoop illuminated' is the open source book well-nigh Apache Hadoop™. It aims to make Hadoop noesis accessible to a wider audience, not just to the highly technical.
Distributed Calculating Tools
Hadoop Tutorial equally a PDF
Intro to Hadoop - An open-source framework for storing and processing big information in a distributed environment across clusters of computers using simple programming models. Information technology is designed to scale up from unmarried servers to thousands of machines.
3.6 (53 Ratings)
Distributed Computing Tools
Programming Pig
This guide is an platonic learning tool and reference for Apache Grunter, the open source engine for executing parallel data flows on Hadoop.
3.6 (320 Ratings)
Forming Data Scientific discipline Teams
Building Data Science Teams
In this in-depth written report, data scientist DJ Patil explains the skills,perspectives, tools and processes that position data science teams for success.
three.8 (352 Ratings)
Forming Data Science Teams
Data Driven: Creating a Data Civilization
In this O'Reilly report, DJ Patil and Hilary Mason outline the steps you lot need to accept if your company is to be truly information-driven—including the questions you should ask and the methods you should adopt.
four.0 (37 Ratings)
Interviews with Data Scientists
The Information Scientific discipline Handbook
The Information Science Handbook is a compilation of in-depth interviews with 25 remarkable information scientists, where they share their insights, stories, and communication.
Languages: Python
4.i (23 Ratings)
Learning Languages
A Byte of Python
'A Byte of Python' is a free volume on programming using the Python language. It serves as a tutorial or guide to the Python linguistic communication for a beginner audition. If all you know almost computers is how to save text files, then this is the book for y'all.
Languages: R
4.v (223 Ratings)
Learning Languages
Advanced R
Useful tools and techniques for attacking many types of R programming bug, helping y'all avoid mistakes and dead ends. With ten+ years of experience programming in R, the writer illustrates the elegance, beauty, and flexibility at the heart of R.
Languages: R
Learning Languages
A Little Book of R for Fourth dimension Series
This is a elementary introduction to fourth dimension serial assay using the R statistics software.
Languages: Python
4.3 (1884 Ratings)
Learning Languages
Automate the Boring Stuff with Python: Practical Programming for Total Beginners
Practical programming for total beginners. In Automate the Slow Stuff with Python, yous'll acquire how to use Python to write programs that do in minutes what would take you hours to do by hand-no prior programming experience required.
Languages: Python
3.8 (260 Ratings)
Learning Languages
Dive Into Python 3
This is a hands-on guide to Python 3 and its differences from Python 2. Each chapter starts with a real, consummate lawmaking sample, picks information technology apart and explains the pieces, then puts information technology all back together in a summary at the end.
Languages: R
4.2 (38 Ratings)
Learning Languages
Ecological Models and Data in R
The starting time truly practical introduction to modernistic statistical methods for ecology. In footstep-by-pace detail, the book teaches ecology graduate students and researchers everything they need to know to analyze their ain data using the R language.
Languages: Python
4.1 (130 Ratings)
Learning Languages
Invent with Python
"Invent Your Own Computer Games with Python" teaches you computer programming in the Python programming language. Each affiliate gives you the complete source code for a new game and teaches the programming concepts from these examples.
Languages: R
Learning Languages
Learning Statistics with R
I (Dani) started teaching the introductory statistics grade for psychology students offered at the University of Adelaide, using the R statistical parcel equally the primary tool. These are my own notes for the grade which were trans-coded to book form.
Languages: Python
4.1 (14 Ratings)
Learning Languages
Learning with Python 3
Introduction to computer scientific discipline using the Python programming language. Information technology covers the basics of estimator programming in the first part while later chapters cover basic algorithms and data structures.
Languages: Python
4.0 (nine Ratings)
Learning Languages
Larn Python, Pause Python
This is a hands-on introduction to the Python programming language, written for people who have no feel with programming whatever. After all, everybody has to start somewhere.
Languages: Python
3.9 (136 Ratings)
Learning Languages
Larn Python the Hard Way
This is a free sample of Learn Python 2 The Difficult Style with 8 exercises and Appendix A bachelor for yous to review.
Languages: R
Learning Languages
Applied Regression and Anova using R
This book is NOT introductory. The accent of this text is on the exercise of regression and analysis of variance. The objective is to learn what methods are bachelor and more importantly, when they should be applied.
Languages: Python
4.three (449 Ratings)
Learning Languages
Python for Everybody
This book is designed to introduce students to programming and computational thinking through the lens of exploring data. Yous tin can think of Python every bit your tool to solve problems that are far beyond the capability of a spreadsheet.
Languages: Python
Learning Languages
Python for You and Me
This is a uncomplicated book to larn the Python programming language, it is for the programmers who are new to Python.
Languages: Python
Learning Languages
Python Practise Book
This book is prepared from the preparation notes of Anand Chitipothu.
Languages: Python
Learning Languages
Python Programming
This book describes Python, an open up-source general-purpose interpreted programming language bachelor for a broad range of operating systems. This volume describes primarily version two, but does at times reference changes in version 3.
Languages: R
Learning Languages
R past Example
Languages: R
Learning Languages
R Programming
The aim of this Wikibook is to exist the place where anyone can share his or her knowledge and tricks on R. It is supposed to be organized by chore just non past subject. We effort to make a cross-disciplinary book, i.e. a book that can be used past all.
Languages: R
Learning Languages
R Programming for Data Science
This book is about the fundamentals of R programming. You will get started with the basics of the language, learn how to dispense datasets, how to write functions, and how to debug and optimize code.
Languages: R
Learning Languages
Spatial Epidemiology Notes: Applications and Vignettes in R
My intent is to present a relatively brief, non-jargony overview of how practicing epidemiologists can utilise some of the extremely powerful spatial analytic tools that are easily bachelor to them.
Languages: R
4.0 (7 Ratings)
Learning Languages
The R Inferno
An essential guide to the trouble spots and oddities of R. In spite of the quirks exposed here, R is the best computing environment for most data analysis tasks.
Languages: R
Learning Languages
The R Manuals
The R Manuals.
Languages: Python
4.1 (75 Ratings)
Learning Languages
Think Python 2d Edition
This hands-on guide takes y'all through Python a step at a fourth dimension, beginning with basic programming concepts before moving on to functions, recursion, information structures, and object-oriented blueprint. Updated to Python 3.
3.7 (2 Ratings)
Math Topics
A First Form in Linear Algebra
This is an introduction to the bones concepts of linear algebra, along with an introduction to the techniques of formal mathematics. Information technology has numerous worked examples, exercises and complete proofs, ideal for independent study.
4.two (24 Ratings)
Math Topics
Elementary Applied Topology
This text gives a brisk and engaging introduction to the mathematics behind the recently established field of Applied Topology.
4.5 (half-dozen Ratings)
Math Topics
Elementary Differential Equations
This text has been written in clear and authentic linguistic communication that students tin read and comprehend. The author has minimized the number of explicitly state theorems and definitions, in favor of dealing with concepts in a more than conversational manner.
4.3 (xiii Ratings)
Math Topics
Introduction to Probability
This book is designed for an introductory probability course at the university level for sophomores, juniors, and seniors in mathematics, physical and social sciences, engineering, and information science.
Math Topics
Linear Algebra
Math Topics
Linear Algebra: An Introduction to Mathematical Discourse
3.five (i Ratings)
Math Topics
Linear Algebra, Theory And Applications
This book gives a self- contained handling of linear algebra with many of its most important applications. It is very unusual if not unique in being an elementary book which does not neglect arbitrary fields of scalars and the proofs of the theorems
Math Topics
Ordinary Differential Equations
Math Topics
Probabilistic Models in the Report of Language
Math Topics
Probability and Statistics Cookbook
The probability and statistics cookbook is a succinct representation of various topics in probability theory and statistics. It provides a comprehensive mathematical reference reduced to its essence, rather than aiming for elaborate explanations.
Languages: Cassandra
SQL, NoSQL, and Databases
Cassandra Tutorial as a PDF
Languages: NoSQL
SQL, NoSQL, and Databases
Extracting Data from NoSQL Databases
Languages: Graph DB
3.6 (22 Ratings)
SQL, NoSQL, and Databases
Graph Databases
Get started with O'Reilly'southward Graph Databases and observe how graph databases tin assistance you manage and query highly connected data.
Languages: NoSQL
SQL, NoSQL, and Databases
NoSQL Databases
Languages: SQL
SQL, NoSQL, and Databases
SQL for Web Nerds
Languages: SQL
SQL, NoSQL, and Databases
SQL Tutorial as a PDF
This tutorial will give you lot a quick start to SQL. It covers most of the topics required for a basic agreement of SQL and to get a experience of how it works.
Languages: MongoDB
SQL, NoSQL, and Databases
The Little MongoDB Book
MongoDB is an open source NoSQL database, easily scalable and high performance. It retains some similarities with relational databases which, in my stance, makes it a dandy choice for anyone who is approaching the NoSQL globe.
ii.9 (13 Ratings)
Statistics
A Starting time Grade in Blueprint and Analysis of Experiments
Suitable for either a service course for non-statistics graduate students or for statistics majors. Unlike most texts for the one-term grad/upper level grade on experimental pattern, this book offers a superb residue of both assay and design.
four.6 (1831 Ratings)
Statistics
An Introduction to Statistical Learning with Applications in R
This book presents some of the virtually important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, and much more than.
iii.6 (21 Ratings)
Statistics
Artificial Intelligence: Foundations of Computational Agents
This is a textbook aimed at junior to senior undergraduate students and first-year graduate students. It presents bogus intelligence (AI) using a coherent framework to study the design of intelligent computational agents.
iii.8 (eleven Ratings)
Statistics
Intro Stat with Randomization and Simulation
The foundations for inference are provided using randomization and simulation methods. In one case a solid foundation is formed, a transition is made to traditional approaches, where the normal and t distributions are used for hypothesis testing and...
4.0 (34 Ratings)
Statistics
OpenIntro Statistics
Probability is optional, inference is key, and nosotros characteristic real data whenever possible. Files for the entire book are freely available at openintro.org.
iv.4 (281 Ratings)
Statistics
The Elements of Statistical Learning: Information Mining, Inference, and Prediction
This book describes the important ideas in a variety of fields such equally medicine, biological science, finance, and marketing in a common conceptual framework. While the arroyo is statistical, the emphasis is on concepts rather than mathematics.
3.nine (49 Ratings)
Statistics
Think Bayes: Bayesian Statistics Made Elementary
Think Bayes is an introduction to Bayesian statistics using computational methods. The premise of this book, and the other books in the Recollect 10 series, is that if you know how to program, yous tin use that skill to larn other topics.
Languages: Python
3.6 (348 Ratings)
Statistics
Think Stats: Exploratory Data Analysis in Python
This concise introduction shows you how to perform statistical assay computationally, rather than mathematically, with programs written in Python.
4.3 (1646 Ratings)
Pattern Recognition and Machine Learning
This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents estimate inference algorithms that allow fast approximate answers in situations where exact answers are non feasible.
Source: https://www.learndatasci.com/free-data-science-books/
Belum ada Komentar untuk "Statistics the Art and Science of Learning From Data 3rd Edition Torrent"
Posting Komentar