Data Science with Java: Practical Methods for Scientists and Engineers (Michael R. Brzustowicz Phd)(Paperback)

Nejnižší cena za posledních 60 dní: 1 109 Kč

ENbook.cz

Data Science with Java: Practical Methods for Scientists and Engineers (Michael R. Brzustowicz Phd)(Paperback)

1 116 Kč

Do obchodu

Ceny a dostupnost se mohou měnit i několikrát za den. Zkontrolujte si aktuální údaje přímo v e-shopech. Všechny dostupné barvy a velikosti naleznete přímo v e-shopech.

• Popis produktu
• Historie ceny
• Další zajímavé produkty
• Jak nakoupit nejvýhodnější?

Data Science with Java: Practical Methods for Scientists and Engineers (Michael R. Brzustowicz Phd)(Paperback) - popis produktu

Data Science with Java: Practical Methods for Scientists and Engineers (Michael R. Brzustowicz Phd)(Paperback) - historie ceny a dostupnosti

Data Science with Java: Practical Methods for Scientists and Engineers (Michael R. Brzustowicz Phd)(Paperback) - další zajímavé produkty

1 116 Kč

Data Science with Java: Practical Methods for Scientists and Engineers (Michael R. Brzustowicz Phd)(Paperback)

Data Science is booming thanks to R and Python, but Java brings the robustness, convenience, and ability to scale critical to today's data science applications. With this practical book, Java software engineers looking to add data science skills will take a logical journey through the data science

1 135 Kč

Sample Size Calculations: Practical Methods for Engineers and Scientists (Mathews Paul)(Paperback)

Sample Size Calculations: Practical Methods for Engineers and Scientists presents power and sample size calculations for common statistical analyses including methods for means, standard deviations, proportions, counts, regression, correlation, and measures of agreement. Topics of special interest

1 475 Kč

Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python (Bruce Peter)(Paperback)

Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this popular guide adds comprehensive examples in Python, provides

1 462 Kč

Technical Writing: A Practical Guide for Engineers, Scientists, and Nontechnical Professionals, Second Edition (Laplante Phillip A.)(Paperback)

Technical Writing: A Practical Guide for Engineers, Scientists, and Nontechnical Professionals, Second Edition enables readers to write, edit, and publish materials of a technical nature, including books, articles, reports, and electronic media. Written by a renowned engineer and widely published

1 629 Kč

Qualitative and Mixed Methods Data Analysis Using Dedoose: A Practical Approach for Research Across the Social Sciences (Salmona Michelle Suzanne)(Paperback)

Qualitative and Mixed Methods Data Analysis Using Dedoose(R) A Practical Approach for Research Across the Social Sciences by Michelle Salmona, Eli Lieber, Dan Kaczynski provides both new and experienced researchers with a guided introduction to dealing with the methodological complexity of mixed

1 452 Kč

R Graphics Cookbook: Practical Recipes for Visualizing Data (Chang Winston)(Paperback)

This O'Reilly cookbook provides more than 150 recipes to help scientists, engineers, programmers, and data analysts generate high-quality graphs quickly--without having to comb through all the details of R's graphing systems. Each recipe tackles a specific problem with a solution you can apply to

2 170 Kč

Advanced Mathematical Methods for Scientists and Engineers I: Asymptotic Methods and Perturbation Theory (Bender Carl M.)(Pevná vazba)

Intended for graduate students and advanced undergraduates, this book gives a clear, practical and self-contained presentation of the methods of asymptotics and perturbation theory for obtaining approximate analytical solutions to differential and difference equations. These methods allow one to

949 Kč

Tried and Tested Primary Science Experiments: Practical Enhancements for Science in the Primary Curriculum (Bertenshaw Kirsty)(Paperback)

The modern world needs more scientists and engineers, and good science education is key to filling this gap. Especially in the current climate of rapid curriculum changes, a lack of emphasis on training can result in unconfident teaching and monotonous lessons. To rectify this, this book offers

1 216 Kč

The New Statistics with R: An Introduction for Biologists (Hector Andy)(Paperback)

Statistical methods are a key tool for all scientists working with data, but learning the basics continues to challenge successive generations of students. This accessible textbook provides an up-to-date introduction to the classical techniques and modern extensions of linear model analysis-one of

1 205 Kč

Practical Data Science with R (Zumel Nina)(Paperback)

Summary Practical Data Science with R, Second Edition takes a practice-oriented approach to explaining basic principles in the ever expanding field of data science. You'll jump right to real-world use cases as you apply the R programming language and statistical analysis techniques to carefully

1 025 Kč

Data Science Foundations Tools and Techniques: Core Skills for Quantitative Analysis with R and Git (Freeman Michael)(Paperback)

The Foundational Hands-On Skills You Need to Dive into Data Science Using data science techniques, you can transform raw data into actionable insights for domains ranging from urban planning to precision medicine. Programming Skills for Data Science brings together all the foundational skills

3 115 Kč

Data Science for Business With R (Saltz Jeffrey S.)(Paperback / softback)

Data Science for Business with R, written by Jeffrey S. Saltz and Jeffrey M. Stanton, focuses on the concepts foundational for students starting a business analytics or data science degree program. To keep the book practical and applied, the authors feature a running case using a global airline

919 Kč

Scientists Must Write: A Guide to Better Writing for Scientists, Engineers and Students (Barrass Robert)(Paperback)

Good writing and communication skills are essential in many areas of science and engineering, to help observation, thinking and remembering, to organize work and to avoid stress. Written by a scientist for scientists, this book is much more than a textbook of English grammar - it is a valuable

1 139 Kč

Optimizing Java: Practical Techniques for Improving Jvm Application Performance (Evans Benjamin J.)(Paperback)

Performance tuning is an experimental science, but that doesn't mean engineers should resort to guesswork and folklore to get the job done. Yet that's often the case. With this practical book, intermediate to advanced Java technologists working with complex technology stacks will learn how to tune

2 759 Kč

Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data (Friendly Michael)(Pevná vazba)

An Applied Treatment of Modern Graphical Methods for Analyzing Categorical Data Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data presents an applied treatment of modern methods for the analysis of categorical data, both discrete response data and

726 Kč

Data Analytics with Hadoop: An Introduction for Data Scientists (Bengfort Benjamin)(Paperback)

Ready to use statistical and machine-learning techniques across large data sets? This practical guide shows you why the Hadoop ecosystem is perfect for the job. Instead of deployment, operations, or software development usually associated with distributed computing, you'll focus on particular

1 574 Kč

Doing Data Science in R: An Introduction for Social Scientists (Andrews Mark)(Paperback)

This approachable introduction to doing data science in R provides step-by-step advice on using the tools and statistical methods to carry out data analysis. Introducing the fundamentals of data science and R before moving into more advanced topics like Multilevel Models and Probabilistic Modelling

1 109 Kč

Practical Data Science: A Guide to Building the Technology Stack for Turning Data Lakes Into Business Assets (Vermeulen Andreas Franois)(Paperback)

Learn how to build a data science technology stack and perform good data science with repeatable methods. You will learn how to turn data lakes into business assets.The data science technology stack demonstrated in Practical Data Science is built from components in general use in the industry. Data

1 175 Kč

Data Management in R: A Guide for Social Scientists (Elff Martin)(Paperback)

An invaluable, step-by-step guide to data management in R for social science researchers. This book shows students how to recode data, combine data from different sources, document data, and import data from statistical packages other than R. It explores both qualitative and quantitative data and

2 129 Kč

Model-Based Clustering and Classification for Data Science: With Applications in R (Bouveyron Charles)(Pevná vazba)

Cluster analysis finds groups in data automatically. Most methods have been heuristic and leave open such central questions as: how many clusters are there? Which method should I use? How should I handle outliers? Classification assigns new observations to groups given previously classified

1 452 Kč

R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics (Long Jd)(Paperback)

Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its structure can be difficult to master. These task-oriented recipes make you productive with R

692 Kč

Efficient R Programming: A Practical Guide to Smarter Programming (Gillespie Colin)(Paperback)

There are many excellent R resources for visualization, data science, and package development. Hundreds of scattered vignettes, web pages, and forums explain how to use R in particular domains. But little has been written on how to simply make R work effectively--until now. This hands-on book

515 Kč

Next Gen PhD: A Guide to Career Paths in Science (Sinche Melanie V.)(Paperback)

For decades, top scientists in colleges and universities pursued a clear path to success: enroll in a prestigious graduate program, conduct research, publish papers, complete the PhD, pursue postdoctoral work. With perseverance and a bit of luck, a tenure-track professorship awaited at the end. In

709 Kč

Python for Data Science for Dummies (Mueller John Paul)(Paperback)

Python is a general-purpose programming language that is popular with data scientists. It is free, as are a number of open-source libraries help acquire, organize, and process information. This book is designed for beginners to data analysis and covers the basics of Python data analysis programming

Data Science with Java: Practical Methods for Scientists and Engineers (Michael R. Brzustowicz Phd)(Paperback) - jak nakoupit nejvýhodnější?

• Prohlédněte si také další produkty z jednotlivých e-shopů.
• Porovnejte si cenu produktu spolu s doplňkovým příslušenstvím.
• Zjistěte, zda můžete získat doručení zdarma.
• Zjistěte, zda můžete získat prodlouženou záruku nebo jiné výhody.
• Zjistěte, zda můžete získat doplňkové služby – montáž, odvoz starého spotřebiče a jiné.
• Nesoustřeďte se jen na cenu, ale na nabídku jako celek.