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The Martian
by Andy Weir
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IDR 52.000
IDR 52.000
The Martian
by Andy Weir
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The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World
by
Domingos, Pedro
(Paperback - English - 9780465094271)
Recommended by Bill Gates A thought-provoking and wide-ranging exploration of machine learning and the race to build computer intelligences as flexible as our own In the world's top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want, before we even ask. In The Master Algorithm , Pedro Domingos lifts the veil to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He assembles a blueprint for the future universal learner--the Master Algorithm--and discusses what it will mean for business, science, and socie ..
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Restocking
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HARGA DISKON 29-31 MARET 2023
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349.000
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Rp.
411.000
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Bayesian Statistics the Fun Way: Understanding Statistics and Probability with Star Wars, Lego, and Rubber Ducks
by
Kurt, Will
(Paperback - English - 9781593279561)
Fun guide to learning Bayesian statistics and probability through unusual and illustrative examples. Probability and statistics are increasingly important in a huge range of professions. But many people use data in ways they don't even understand, meaning they aren't getting the most from it. Bayesian Statistics the Fun Way will change that. This book will give you a complete understanding of Bayesian statistics through simple explanations and un-boring examples. Find out the probability of UFOs landing in your garden, how likely Han Solo is to survive a flight through an asteroid shower, how to win an argument about conspiracy theories, and whether a burgla ..
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593.000
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Mathematical Statistics
by
Leemis, Lawrence
(Paperback - English - 9780982917466)
Mathematical Statistics describes the mathematical underpinnings associated with the practice of statistics. The pre-requisite for this book is a calculus-based course in probability. Nearly 200 figures and dozens of Monte Carlo simulation experiments in R help develop the intuition behind the statistical methods. Real-world problems from a wide range of fields help the reader apply the statistical methods. Over 300 exercises are used to reinforce concepts and make this book appropriate for classroom use. The table of contents for this book is: 1. Random Sampling2. Point Estimation3. Interval Estimation4. Hypothesis Testing ..
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Think Bayes: Bayesian Statistics in Python
by
Downey, Allen B.
(Paperback - English - 9781492089469)
If you know how to program, you're ready to tackle Bayesian statistics. With this book, you'll learn how to solve statistical problems with Python code instead of mathematical formulas, using discrete probability distributions rather than continuous mathematics. Once you get the math out of the way, the Bayesian fundamentals will become clearer and you'll begin to apply these techniques to real-world problems. Bayesian statistical methods are becoming more common and more important, but there aren't many resources available to help beginners. Based on undergraduate classes taught by author Allen B. Downey, this book's computational approach helps you get a solid ..
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Mental Models: 30 Thinking Tools that Separate the Average From the Exceptional. Improved Decision-Making, Logical Analysis, and Prob
by
Hollins, Peter
(Hardcover - English - 9781647430375)
strong 30 Practical and applicable guidelines to think smarter, faster, and with expert insight (even if you aren't one). strong br Mental models are like giving a treasure map to someone lost in the woods. They provide instant understanding, context, and most importantly, strong a path to the end destination strong . Now imagine having such a map for all problems and decisions in your life. br strong Battle information overwhelm, focus on what really matters, and make complex decisions with speed and confidence. strong br strong Mental Models: 30 Thinking Tools strong sheds light on true intelligence: it's not about knowledge and knowing ..
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591.000
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Rp.
694.000
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Stochastic Processes and Filtering Theory
by
Jazwinski, Andrew H.
(Paperback - English - 9780486462745)
This unified treatment of linear and nonlinear filtering theory presents material previously available only in journals, and in terms accessible to engineering students. Its sole prerequisites are advanced calculus, the theory of ordinary differential equations, and matrix analysis. Although theory is emphasized, the text discusses numerous practical applications as well. br Taking the state-space approach to filtering, this text models dynamical systems by finite-dimensional Markov processes, outputs of stochastic difference, and differential equations. Starting with background material on probability theory and stochastic processes, the author introduces and d ..
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387.000
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Rp.
455.000
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Probability and Statistics for Computer Scientists
by
Baron, Michael
(Hardcover - English - 9781138044487)
Praise for the Second Edition: "The author has done his homework on the statistical tools needed for the particular challenges computer scientists encounter... [He] has taken great care to select examples that are interesting and practical for computer scientists. ... The content is illustrated with numerous figures, and concludes with appendices and an index. The book is erudite and ... could work well as a required text for an advanced undergraduate or graduate course." ---Computing Reviews Probability and Statistics for Computer Scientists, Third Edition helps students understand fundamental concepts of Probability and Statistics, general methods of stochast ..
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Rp.
3.466.000
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Introduction to Probability with R
by
Baclawski, Kenneth
(Paperback - English - 9781032477800)
Based on a popular course taught by the late Gian-Carlo Rota of MIT, with many new topics covered as well, strong Introduction to Probability with R strong presents R programs and animations to provide an intuitive yet rigorous understanding of how to model natural phenomena from a probabilistic point of view. Although the R programs are small in length, they are just as sophisticated and powerful as longer programs in other languages. This brevity makes it easy for students to become proficient in R. This calculus-based introduction organizes the material around key themes. One of the most important themes centers on viewing probability as a way to look at t ..
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Special Order
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Statistical Theory: A Concise Introduction
by
Abramovich, Felix
Ritov, Ya'acov
(Hardcover - English - 9781032007458)
Designed for a one-semester advanced undergraduate or graduate statistical theory course, strong Statistical Theory: A Concise Introduction, Second Edition strong clearly explains the underlying ideas, mathematics, and principles of major statistical concepts, including parameter estimation, confidence intervals, hypothesis testing, asymptotic analysis, Bayesian inference, linear models, nonparametric statistics, and elements of decision theory. It introduces these topics on a clear intuitive level using illustrative examples in addition to the formal definitions, theorems, and proofs. Based on the authors' lecture notes, the book is self-contained, which ma ..
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2.433.000
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Rp.
2.862.000
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Mental Models: 30 Thinking Tools that Separate the Average From the Exceptional. Improved Decision-Making, Logical Analysis, and Prob
by
Hollins, Peter
(Paperback - English - 9781647430368)
strong 30 Practical and applicable guidelines to think smarter, faster, and with expert insight (even if you aren't one). strong br Mental models are like giving a treasure map to someone lost in the woods. They provide instant understanding, context, and most importantly, strong a path to the end destination strong . Now imagine having such a map for all problems and decisions in your life. br strong Battle information overwhelm, focus on what really matters, and make complex decisions with speed and confidence. strong br strong Mental Models: 30 Thinking Tools strong sheds light on true intelligence: it's not about knowledge and knowing ..
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Biasanya terkirim dalam 8-14 hari kerja. Buku dikirim kurir lokal dengan nomor lacak
HARGA DISKON 29-31 MARET 2023
Rp.
426.000
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Rp.
501.000
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Bayesian Statistics for Beginners: A Step-By-Step Approach
by
Donovan, Therese M.
Mickey, Ruth M.
(Paperback - English - 9780198841302)
Bayesian statistics is currently undergoing something of a renaissance. At its heart is a method of statistical inference in which Bayes' theorem is used to update the probability for a hypothesis as more evidence or information becomes available. It is an approach that is ideally suited to making initial assessments based on incomplete or imperfect information; as that information is gathered and disseminated, the Bayesian approach corrects or replaces the assumptions and alters its decision-making accordingly to generate a new set of probabilities. As new data evidence becomes available the probability for a particular hypothesis can therefore be steadily refi ..
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1.527.000
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Rp.
1.796.000
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Time Series: Modeling, Computation, and Inference
by
Prado, Raquel
West, Mike
(Hardcover - English - 9781420093360)
Focusing on Bayesian approaches and computations using simulation-based methods for inference, strong Time Series: Modeling, Computation, and Inference strong integrates mainstream approaches for time series modeling with significant recent developments in methodology and applications of time series analysis. It encompasses a graduate-level account of Bayesian time series modeling and analysis, a broad range of references to state-of-the-art approaches to univariate and multivariate time series analysis, and emerging topics at research frontiers. The book presents overviews of several classes of models and related methodology for inference, statistical com ..
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Special Order
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3.244.000
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Non-Gaussian Autoregressive-Type Time Series
by
Balakrishna, N.
(Paperback - English - 9789811681646)
1. Basics of Time Series.- 2. Statistical Inference for Stationary Time Series.- 3. AR Models with Stationary Non-Gaussian Positive Marginals.- 4. AR Models with Stationary Non-Gaussian Real-Valued Marginals.- 5. Some Nonlinear AR-type Models for Non-Gaussian Time series.- 6. Linear Time Series Models with Non-Gaussian Innovations.- 7. Autoregressive-type Time Series of Counts. ..
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2.934.000
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Rp.
3.450.000
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Polya Urn Models
by
Mahmoud, Hosam
(Paperback - English - 9781032477794)
Incorporating a collection of recent results, Pólya Urn Models deals with discrete probability through the modern and evolving urn theory and its numerous applications. The book first substantiates the realization of distributions with urn arguments and introduces several modern tools, including exchangeability and stochastic processes via urns. It reviews classical probability problems and presents dichromatic Pólya urns as a basic discrete structure growing in discrete time. The author then embeds the discrete Pólya urn scheme in Poisson processes to achieve an equivalent view in continuous time, provides heuristical arguments to connect the Pólya process to ..
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1.253.000
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Rp.
1.474.000
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Bayesian Analysis for Population Ecology
by
King, Ruth
Morgan, Byron
Gimenez, Olivier
(Paperback - English - 9781032477718)
Novel Statistical Tools for Conserving and Managing Populations By gathering information on key demographic parameters, scientists can often predict how populations will develop in the future and relate these parameters to external influences, such as global warming. Because of their ability to easily incorporate random effects, fit state-space models, evaluate posterior model probabilities, and deal with missing data, modern Bayesian methods have become important in this area of statistical inference and forecasting. Emphasising model choice and model averaging, strong Bayesian Analysis for Population Ecology strong presents up-to-date methods for analys ..
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1.253.000
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Rp.
1.474.000
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Introduction to Statistical Modelling and Inference
by
Aitkin, Murray
(Hardcover - English - 9781032105710)
The complexity of large-scale data sets ("Big Data") has stimulated the development of advanced br computational methods for analysing them. There are two different kinds of methods to aid this. The br model-based method uses probability models and likelihood and Bayesian theory, while the model-free br method does not require a probability model, likelihood or Bayesian theory. These two approaches br are based on different philosophical principles of probability theory, espoused by the famous br statisticians Ronald Fisher and Jerzy Neyman. br Introduction to Statistical Modelling and Inference covers simple experimental and survey designs, br and probabi ..
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2.579.000
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Rp.
3.033.000
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Fundamentals of Data Science Part II: Statistical Modeling
by
Maruskin, Jared M.
(Paperback - English - 9781941043127)
strong In strong strong Part II strong strong of this series, we cover the elements of statistical modeling, focusing on: strong ul li strong validation methodology strong li li strong principles of object-oriented design strong li li strong linear and logistic regression strong li li strong generalized linear models strong li li strong causality strong li li strong time series analysis strong li li strong Bayesian statistics, including simulations in pymc3 strong li li strong Modeling customer lifetime values, including a detailed study of the beta-Bernoulli beta-binomial model, a discretized version of the classi ..
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HARGA DISKON 29-31 MARET 2023
Rp.
751.000
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Rp.
883.000
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Bayes' Rule: A Tutorial Introduction to Bayesian Analysis
by
Stone, James V.
(Paperback - English - 9780956372895)
What does a medical test tell us about the chances of having a particular disease? How can we tell if a spoken phrase is, 'four candles' or 'fork handles'? How do we a perceive a three-dimensional world from from the two-dimensional images on our retinas? The short answer is Bayes' rule, which transforms meaningless statistics and raw data into useful information. Discovered by an 18th century mathematician and preacher, Bayes' rule is a cornerstone of modern probability theory. In this richly illustrated book, intuitive visual representations of real-world examples are used to show how Bayes' rule is actually a form of commonsense reasoning. The tutorial style ..
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350.000
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Rp.
412.000
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Bayesian Statistics: An Introduction
by
Lee, Peter M.
(Paperback - English - 9781118332573)
Bayesian Statistics is the school of thought that combines prior beliefs with the likelihood of a hypothesis to arrive at posterior beliefs. The first edition of Peter Lee's book appeared in 1989, but the subject has moved ever onwards, with increasing emphasis on Monte Carlo based techniques. This new fourth edition looks at recent techniques such as variational methods, Bayesian importance sampling, approximate Bayesian computation and Reversible Jump Markov Chain Monte Carlo (RJMCMC), providing a concise account of the way in which the Bayesian approach to statistics develops as well as how it contrasts with the conventional approach. The theory is built up ..
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1.739.000
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Rp.
2.045.000
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A First Course in Bayesian Statistical Methods
by
Hoff, Peter D.
(Paperback - English - 9781441928283)
ol li A self-contained introduction to probability, exchangeability and Bayes' rule provides a theoretical understanding of the applied material. li li Numerous examples with R-code that can be run as-is allow the reader to perform the data analyses themselves. li li The development of Monte Carlo and Markov chain Monte Carlo methods in the context of data analysis examples provides motivation for these computational methods. li ol ..
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Rp.
1.310.000
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Rp.
1.540.000
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