Showing all 20 results
100 Excel VBA Simulations: Using Excel VBA to Model Risk, Investments, Genetics. Growth, Gambling, and Monte Carlo AnalysisBy (2016), Alexander, Arshdeep Bahga, Dick, Dr. Gerard M. Verschuuren, Flavio Morgado, Fons Trompenaars, Gayle Greene, Hector Guerrero, Holger Bernt Hansen, Jason Jay, John Walkenbach, Kusleika, Michael, Michael Alexander, Michael Rees, Michael Twaddle, Nelson E.C., Nelson S.L., Piet Hein Coebergh, Rees, Richard Kusleika, Vijay Madisetti
Covering a variety of Excel simulations by using Visual Basic VBA, from gambling to genetics, this introduction is for people interested in modeling future events, without the cost of an expensive textbook...120 real data science interview questionsBy And William Chen, Aoife D'Arcy, Arshdeep Bahga, Brian Mac Namee, Cady, Carl Shan, Field, Henry Wang, John D. Kelleher, Matsui Elizabeth., Max Song, Peng Roger D., Schmarzo B., Sebastian Raschka, Sinan Ozdemir, Vahid Mirjalili, Vamsee Puligadda, Vijay Madisetti, Липпман С., Станислав Юрьевич Махов
This is a collection of 120 real data science interview questions, covering a wide range of questions you might face when interviewing for a data science position...Analytics in a Big Data World: The Essential Guide to Data Science and its ApplicationsBy Aoife D'Arcy, Arshdeep Bahga, Bart Baesens, Brian Mac Namee, EMC Education Services, John D. Kelleher, Matsui Elizabeth., Michael S. Gendron, Peng Roger D., Phil M Jones, Rob Kitchin, Sinan Ozdemir, Vijay Madisetti, Е. Н. Челак, И. В. Матвеева, Н. К. Конопатова и др.
The guide to targeting and leveraging business opportunities using big data analytics By leveraging big data analytics, businesses create the potential to better understand, manage, and strategically exploiting the complex dynamics of customer behavior...Applied Natural Language Processing with Python: Implementing Machine Learning and Deep Learning Algorithms for Natural Language ProcessingBy Adarsha Shivananda, Afshin Rostamizadeh, Akshay Kulkarni, and Ameet Talwalkar, Aoife D'Arcy, Arshdeep Bahga, Brian Mac Namee, John D. Kelleher, Krishna Bhavsar, Manuel Amunategui, Mehdi Roopaei, Mohri Mehryar, Naresh Kumar, Palash Goyal, Patrick Flandrin, Pratap Dangeti, Puneet Mathur, Sumit Pandey, Sumit Raj, Taweh Beysolow II, Terence C. Mills, Vijay Madisetti
Learn to harness the power of AI for natural language processing, performing tasks such as spell check, text summarization, document classification, and natural language generation...Applied Time Series Analysis: A Practical Guide to Modeling and ForecastingBy Aoife D'Arcy, Arshdeep Bahga, Avishek Pal, Brian Mac Namee, C. Scott Littleton, Daniel Slater, Eric Goh Ming Hui, Gianmario Spacagna, Hector Guerrero, Ivan Vasilev, John Chinnery, John D. Kelleher, Larry Wasserman, Marc S. Paolella, Mary McGee, Ornan Rotem, Peter Roelants, PKS Prakash, Richard E. Neapolitan, Scott E. Page, Stephen L. Little, Terence C. Mills, Valentino Zocca, Vijay Madisetti, Xia Jiang
Written for those who need an introduction,Applied Time Series Analysisreviews applications of the popular econometric analysis technique across disciplines...Data Science with R A Step By Step Guide With Visual Illustrations and ExamplesBy Andrew Bruce, Andrew Oleksy, Aoife D'Arcy, Arshdeep Bahga, B. Nair, Brian Mac Namee, Elaine Rich, Eric Goh Ming Hui, Eric Pimpler, François Chollet with J.J. Allaire, Hector Guerrero, John D. Kelleher, Kevin Knight, Marc S. Paolella, Mutlu Hoca, Neil J. Salkind, Peter Bruce, Terence C. Mills, Vijay Madisetti
A Step By Step Guide with Visual Illustrations and ExamplesThe Data Science field is expected to continue growing rapidly over the next several years and Data Scientist is consistently rated as a top career...Data Visualization and Exploration with R A Practical Guide to Using R RStudio and Tidyverse for Data Visualization Exploration and Data Science ApplicationsBy Andrew Oleksy, Arshdeep Bahga, Candace Moore, Clemens Reimann, Daniela Witten, Eric Goh Ming Hui, Eric Pimpler, François Chollet with J.J. Allaire, Gareth James, Garrett Grolemund, Gregory Zambrano, Hadley Wickham, Hector Guerrero, Joshua F. Wiley, Matt Wiley, Peter Filzmoser, Robert Garrett, Robert Tibshirani, Rudolf Dutter, Terence C. Mills, Trevor Hastie, Vijay Madisetti
Today, data science is an indispensable tool for any organization, allowing for the analysis and optimization of decisions and strategy...First Course in Algorithms Through PuzzlesBy Adarsha Shivananda, Akshay Kulkarni, Alexander S. Kulikov, Andriy Burkov, Arshdeep Bahga, Daniel Slater, Denis Rothman, Dian Hanson, Gianmario Spacagna, Giles Tremlett, Ivan Vasilev, Narasimha Karumanchi, Pavel Pevzner, Peter Roelants, Puneet Mathur, Richard E. Neapolitan, Ryuhei Uehara, Valentino Zocca, Vijay Madisetti, William Wood, Xia Jiang
This textbook introduces basic algorithms and explains their analytical methods...Information theory, inference, and learning algorithmsBy Arshdeep Bahga, David J. C. MacKay, Ian Mackenzie, MacKay D.J.C., Steven T. Karris, Vijay Madisetti, Wes McKinney
Information theory and inference, often taught separately, are here united in one entertaining textbook...Introducing Data Science: Big Data, Machine Learning, and more, using Python toolsBy Andreas C. Müller, Andriy Burkov, Arno Meysman, Arshdeep Bahga, Chris Albon, Daniel Slater, Daniela Witten, David J. Pine, Davy Cielen, Fritz Gesztesy, Gareth James, Garrett Grolemund, Gianmario Spacagna, Gilles Godefroy, Hadley Wickham, Igor Verbitsky, Ivan Vasilev, Jack Bennett, Jake VanderPlas, Loukas Grafakos, Mohamed Ali, Peter Roelants, Robert Tibshirani, Sarah Guido, Sinan Ozdemir, Trevor Hastie, Valentino Zocca, Vijay Madisetti
Introducing Data Science teaches you how to accomplish the fundamental tasks that occupy data scientists...Number, Shape, & Symmetry: An Introduction to Number Theory, Geometry, and Group TheoryBy Andrew M. Steane, Arshdeep Bahga, Bjørn Ian Dundas, David J. Griffiths, Diane L. Herrmann, Douglas Reed, Graeme Were, J. C. H. King, Lieven Vandenberghe, Paul J. Sally Jr., Rita Carter, Roger B. Nelsen, Stephen Boyd, Vijay Madisetti
Through a careful treatment of number theory and geometry, Number, Shape, Symmetry An Introduction to Number Theory, Geometry, and Group Theory helps readers understand serious mathematical ideas and proofs...Probability and statistics by example. Basic probability and statisticsBy Andrew Bruce, Arak M. Mathai, Arshdeep Bahga, Douglas C. Montgomery, Gábor J. Székely, George A. Marcoulides, George C. Runger, Hans J. Haubold, Jordan M. Stoyanov, Kelbert M., Larry Wasserman, Neil J. Salkind, Peter Bruce, Suhov Y., Tenko Raykov, Vijay Madisetti
Probability and statistics by example Basic probability and statistics...Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPythonBy Aoife D'Arcy, Arshdeep Bahga, Brian Mac Namee, Charles Rearick, Chris Albon, Daniel Slater, Farrell, Garrett Grolemund, Gianmario Spacagna, Hadley Wickham, Hector Guerrero, Ivan Vasilev, John D. Kelleher, Joshua Eckroth, Kamran Scot Aghaie, P, Peter Roelants, Robert Johansson, Sebastian Raschka, Vahid Mirjalili, Valentino Zocca, Vijay Madisetti, Wes McKinney
Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python...Python for Graph and Network AnalysisBy Mohammed Zuhair Al-Taie and Seifedine Kadry, В.В. Енютин, Долматовский Е.А., Adarsha Shivananda, Akshay Kulkarni, Arshdeep Bahga, Robert Johansson, Ryuhei Uehara, Vijay Madisetti
This research monograph provides the means to learn the theory and practice of graph and network analysis using the Python programming language...Quantitative Methods for the Social Sciences: A Practical Introduction with Examples in SPSS and StataBy Andy Field, Arshdeep Bahga, Clark Vicki L Plano, Creswell John W., Daniel J. Denis, Daniel Stockemer, Hector Guerrero, Hermann Pálsson, Julie Pallant, Paul Edwards (transl.), Rowena Murray and Sarah Moore, S P Mukherjee, Sarah J. Tracy, Tusdata Eğitmenleri, Vijay Madisetti
This textbook offers an essential introduction to survey research and quantitative methods...Spatial Data Analysis in Ecology and Agriculture Using RBy Alboukadel Kassambara, Arshdeep Bahga, Clemens Reimann, Daniel Slater, Daniela Witten, Gareth James, Gianmario Spacagna, Ivan Vasilev, John Fox, Joseph Schmuller, Joshua F. Wiley, Kaori O’Connor, Marc S. Paolella, Matt Wiley, Peter Filzmoser, Peter Roelants, Richard E. Plant, Robert Garrett, Robert Tibshirani, Rudolf Dutter, Sanford Weisberg, Song S. Qian, Trevor Hastie, Valentino Zocca, Vijay Madisetti, Д. А. Боронина (сост.)
Spatial Data Analysis in Ecology and Agriculture Using R, 2nd Edition provides practical instruction on the use of the R programming language to analyze spatial data arising from research in ecology, agriculture, and environmental science...Supplemental text material for design and analysis of experimentsBy Douglas C. Montgomery (Author), Martin Palmer, Paula R. Hartz, Arshdeep Bahga, Douglas C. Montgomery, George C. Runger, Hector Guerrero, Vijay Madisetti
Supplemental text material for design and analysis of experiments...The Art of Data Science: A guide for everyone who works with dataBy Arshdeep Bahga, Bart Baesens, Cole Nussbaumer Knaflic, EMC Education Services, Garrett Grolemund, Hadley Wickham, Matsui Elizabeth., Megan Squire, Peng Roger D., Pierson L., Rob Kitchin, Sinan Ozdemir, Vijay Madisetti, Черкашин А.Д., Шеффле А.
Leanpub, 2015...The Elements of Statistical Learning: Data Mining, Inference, and PredictionBy Andriy Burkov, Aoife D'Arcy, Arshdeep Bahga, Brian Mac Namee, Christopher Bishop, Collectif, Daniela Witten, Gareth James, Hector Guerrero, Jerome Friedman, John D. Kelleher, Larry Wasserman, Northrop Frye, Robert Tibshirani, Sebastian Raschka, Terence C. Mills, Trevor Hastie, Vahid Mirjalili, Vijay Madisetti
During the past decade there has been an explosion in computation and information technology...The Oxford Handbook of Applied Bayesian Analysis (Oxford Handbooks)By Alex Galea, Anthony O'Hagan, Mike West, The Institution of Structural Engineers, Arshdeep Bahga, Keith J. Holyoak Ph.D., Neil J. Salkind, Robert G. Morrison Ph.D., Vijay Madisetti, Will Durant
Bayesian analysis has developed rapidly in applications in the last two decades and research in Bayesian methods remains dynamic and fast-growing...