ISBN
9781847192929
Verifying Dynamics AX customization to the Microsoft IBI Standards :
This book primarily targets IT professionals in the field of SOA and Integration solutionsâ€â€Âin other words, intermediate to advanced users. You are likely to find the book useful if you fall into any of the following categories: A programmer, designer, or architect in Java who wants to learn and code in JBI or ESB. A programmer, designer, or architect who doesn't normally code in Java can still benefit from this book, since we 'assemble integration components' using XML with little to no Java code. An IT Manager or an Officer who knows well about SOA or SOI but want to see something in code (you can adorn your flashy presentations with some live code too).
Author/Authors: Gupta, Anil Kumar
Pages: 168 | Published Date: 39507
Category: Business & Other
ISBN
9781783989072
Over 80 recipes to help you breeze through your data analysis projects using R :
"This book is ideal for those who are already exposed to R, but have not yet used it extensively for data analytics and are seeking to get up and running quickly for analytics tasks. This book will help people who aspire to enhance their skills in any of the following ways: • perform advanced analyses and create informative and professional charts • become proficient in acquiring data from many sources • apply supervised and unsupervised data mining techniques • use R's features to present analyses professionally"
Author/Authors: Viswanathan, Viswa | Viswanathan, Shanthi
Pages: 342 | Published Date: 42151
Category: Data
ISBN
9781787125315
Over 80 recipes to help you breeze through your data analysis projects using R :
This book is for data scientists, analysts and even enthusiasts who want to learn and implement the various data analysis techniques using R in a practical way. Those looking for quick, handy solutions to common tasks and challenges in data analysis will find this book to be very useful. Basic knowledge of statistics and R programming is assumed.
Author/Authors: Ganguly, Kuntal
Pages: 560 | Published Date: 42998
Category: Data
ISBN
9781788620574
Get valuable insights from your data by building data analysis systems from scratch with R. :
If you are looking for a book that takes you all the way through the practical application of advanced and effective analytics methodologies in R, then this is the book for you. A fundamental understanding of R and the basic concepts of data analysis is all you need to get started with this book.
Author/Authors: Subramanian, Gopi
Pages: 366 | Published Date: 43056
Category: Data
ISBN
9781787129238
Mine valuable insights from your data using popular tools and techniques in R :
If you are a budding data scientist, or a data analyst with a basic knowledge of R, and want to get into the intricacies of data mining in a practical manner, this is the book for you. No previous experience of data mining is required.
Author/Authors: Cirillo, Andrea
Pages: 442 | Published Date: 43068
Category: Data
ISBN
9781785286360
Learn the essence of data science and visualization using R in no time at all :
If you are an aspiring data scientist or analyst who has a basic understanding of data science and has basic hands-on experience in R or any other analytics tool, then R Data Science Essentials is the book for you.
Author/Authors: Koushik, Raja B. | Ravindran, Sharan Kumar
Pages: 154 | Published Date: 42382
Category: Data
ISBN
9781786464163
Increase speed and performance of your applications with efficient data structures and algorithms :
In this book, we cover not only classical data structures, but also functional data structures. We begin by answering the fundamental question: why data structures? We then move on to cover the relationship between data structures and algorithms, followed by an analysis and evaluation of algorithms. We introduce the fundamentals of data structures, such as lists, stacks, queues, and dictionaries, using real-world examples. We also cover topics such as indexing, sorting, and searching in depth. Later on, you will be exposed to advanced topics such as graph data structures, dynamic programming, and randomized algorithms. You will come to appreciate the intricacies of high performance and scalable programming using R. We also cover special R data structures such as vectors, data frames, and atomic vectors. With this easy-to-read book, you will be able to understand the power of linked lists, double linked lists, and circular linked lists. We will also explore the application of binary search and will go in depth into sorting algorithms such as bubble sort, selection sort, insertion sort, and merge sort.
Author/Authors: Prakash, Dr. PKS | Rao, Achyutuni Sri Krishna
Pages: 276 | Published Date: 42695
Category: Programming
ISBN
9781783989515
Over 80 recipes to analyze data and create stunning visualizations with R :
If you are a data journalist, academician, student or freelance designer who wants to learn about data visualization, this book is for you. Basic knowledge of R programming is expected.
Author/Authors: Gohil, Atmajitsinh
Pages: 236 | Published Date: 42033
Category: Data
ISBN
9781788394079
Translate your data into info-graphics using popular packages in R :
If you are looking to create custom data visualization solutions using the R programming language and are stuck somewhere in the process, this book will come to your rescue. Prior exposure to packages such as ggplot2 would be useful but not necessary. However, some R programming knowledge is required.
Author/Authors: Lanzetta, Vitor Bianchi
Pages: 334 | Published Date: 43061
Category: Data
ISBN
9781787127111
Powerful, independent recipes to build deep learning models in different application areas using R libraries :
Data science professionals or analysts who have performed machine learning tasks and now want to explore deep learning and want a quick reference that could address the pain points while implementing deep learning. Those who wish to have an edge over other deep learning professionals will find this book quite useful.
Author/Authors: Prakash, Dr. PKS | Rao, Achyutuni Sri Krishna
Pages: 288 | Published Date: 42951
Category: Data
ISBN
9781785284717
Build automatic classification and prediction models using unsupervised learning :
This book caters to aspiring data scientists who are well versed in machine learning concepts with R and are looking to explore the deep learning paradigm using the packages available in R. You should have a fundamental understanding of the R language and be comfortable with statistical algorithms and machine learning techniques.
Author/Authors: Wiley, Dr. Joshua F.
Pages: 170 | Published Date: 42459
Category: Data
ISBN
9781788997805
A step-by-step guide to building deep learning models using TensorFlow, Keras, and MXNet, 2nd Edition :
This book demonstrates how to use deep Learning in R for machine learning, image classification, and natural language processing. It covers topics such as convolutional networks, recurrent neural networks, transfer learning and deep learning in the cloud. By the end of this book, you will be able to apply deep learning to real-world projects.
Author/Authors: Hodnett, Mark | Wiley, Joshua F.
Pages: 378 | Published Date: 43336
Category: Data
ISBN
9781788474559
5 real-world projects to help you master deep learning concepts :
Machine learning professionals and data scientists looking to master deep learning by implementing practical projects in R will find this book a useful resource. A knowledge of R programming and the basic concepts of deep learning is required to get the best out of this book.
Author/Authors: Liu, Yuxi (Hayden) | Maldonado, Pablo
Pages: 258 | Published Date: 43153
Category: Data
ISBN
9781784392659
Learn and explore the fundamentals of data science with R :
If you are a data analyst who has a firm grip on some advanced data analysis techniques and wants to learn how to leverage the features of R, this is the book for you. You should have some basic knowledge of the R language and should know about some data science topics.
Author/Authors: Toomey, Dan
Pages: 364 | Published Date: 41997
Category: Data
ISBN
9781784392048
Over 100 hands-on recipes to effectively solve real-world data problems using the most popular R packages and techniques :
R for Data Science Cookbook is intended for those who are already familiar with the basic operation of R, but want to learn how to efficiently and effectively analyze real-world data problems using practical R packages.
Author/Authors: Yu-Wei | Chiu (David Chiu)
Pages: 452 | Published Date: 42580
Category: Data
