Our Books


DSTK 3 Book (FREE)


We have develop our own Data and Text Mining software at DSTK.Tech. This technical book aim to equip the reader with Data and Text Mining fundamentals in a fast and practical way using our DSTK - Data Science ToolKit 3 software. There will be many examples and explanations that are straight to the point.

Contents
1. Introduction
2. Getting Started
3. DSTK ScripWriter Essentials
4. DSTK Studio Essentials
5. DSTK Text Explorer Essentials
6. Conclusion

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Python Book


This technical book aim to equip the reader with Python programming fundamentals in a fast and practical way. There will be many examples and explanations that are straight to the point. You will develop your own Python programs for Data Mining application.

Contents
1. Introduction
2. Language Essentials I (Variables, Lists, ...)
3. Language Essentials II (Loops, Conditions, ...)
4. OBject Essentials (Modules, Objects and Classes, ...)
5. Data Mining walkthrough with Python (Pandas, Scikit Learn, ...)
6. Conclusion

PC and Mac Version, Buy Now »


R Book


This technical book aim to equip the reader with R programming fundamentals in a fast and practical way. There will be many examples and explanations that are straight to the point. You will develop your own R programs for Statistical application.

Contents
1. Introduction
2. R Syntax (Variables, Lists, ...)
3. Descriptive Statistics (Standard Deviation, Percentile, ...)
4. Data Visualizations (boxplot, histogram, scatter, ...)
5. Inferential Statistics (ANOVA, Wilcoxon, ...)
6. Conclusion

PC and Mac Version, Buy Now »

The Kindle version may lose some formatting, hence, released at low cost. If you want the original version, please purchase PDF format from Google Book and "PC and Mac Version". Google Book offers preview of the Books.



Java Programming Book


This technical book aim to equip the reader with Java programming, Text Mining, and Natural Language Processing fundamentals in a fast and practical way. There will be many examples and explanations that are straight to the point. You will develop your own Text Mining Application at the end of the book.

Contents
1. Introduction
2. Getting Started (Installing IDE, ...)
3. Language Essentials I (variables, data types, ...)
4. Language Essentials II (loops, if... else..., methods)
5. Object Essentials (classes, inheritance, polymorphism, encapsulation, ...)
6. Text Mining Essentials (Import Text Files, Text Transformation (lowercase, stopwords), Text Understanding (Stanford NLP), Text Classification (Stanford Classifier) )
7. Conclusion

PC and Mac Version, Buy Now »

Internet of Things Book


This technical book aim to equip the reader with Arduino programming fundamentals in a fast and practical way. There will be many examples and explanations that are straight to the point. You will develop your own Arduino Projects for Internet of Things at the end of the book.

Contents
1. Introduction
2. Basics (IoT, Data Science, Product Design...)
3. Arduino Programming (Variables, Arrays, ...)
4. Digital and Analog I/O (incld. sensors data prediction with regression)
5. Arduino Projects (Servos, DC, IoT)
6. Conclusion

PC and Mac Version, Buy Now »

C# Programming Book


This technical book aim to equip the reader with C# programming (C Sharp Programming) fundamentals in a fast and practical way. There will be many examples and explanations that are straight to the point. You will develop your own C# programs such as web browser at the end of the book.

Contents
1. Introduction
2. Language Essentials I (Variables, Arrays, ...)
3. Language Essentials II (Loops, Conditions, ...)
4. OBject Essentials (Polymorphism, Inheritance, ...)
5. GUI Design and Labs
6. Conclusion

PC and Mac Version, Buy Now »


The Kindle version may lose some formatting, hence, released at low cost. If you want the original version, please purchase PDF format from Google Book and "PC and Mac Version". Google Book offers preview of the Books.



Why Learn From Us?



We Are Real Data Scientist and Developers... Not Fake and Baseless...



DSTK - Data Science ToolKit 3 - Desktop Version


DSTK - Data Science Toolkit 3 is a set of data and text mining softwares, following the CRISP DM model. DSTK offers data understanding using statistical and text analysis, data preparation using normalization and text processing, modeling and evaluation for machine learning and statistical learning algorithms.

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Download Data Science TooKit 3

JAOSS - Online Statistical System


JAOSS - Just Another Online Statistical System. A simple statistical system with fairly sophisticated features such as descriptive statistics analysis, inferential statistics with ANOVA and T-Test, Predictive Analytics with Neural Network. The application is written in R and Shiny, with an aim in mind to provide online access to simplistic statistical system before proceed to advanced softwares such as SPSS or DSTK. This product is currently available as FREEware.

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Demo »

JATAS - Online Text Analysis


JATAS - Just Another Text Analysis System. A simple text analytics system with fairly sophisticated features such as text preprocessing (stemmer, stopwords...), Visualizations, and Predictive Analytics with SVM. The application is written in R and Shiny, with an aim in mind to provide online access to simplistic text analysis system before proceed to advanced softwares such as SPSS Modeler or DSTK. This product is currently available as FREEware..

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Demo »

And We Started Our Online Course...



Fundamentals of Python for Data Mining


Have you ever wanted to learn data mining? Data Science is a very hot trend now. This course will equip you with the fundamentals of data mining knowledge, with the use of Python programming language. This course is based on our ebook at SVBook.com.

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Fundamentals of R for Applied Statistics


Have you ever wanted to learn data mining? Data Science is a very hot trend now. This course will equip you with the fundamentals of R Programming knowledge for applied Statistics used in data exploration. This course is based on our ebook at SVBook.com.

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Introduction to Data and Text Mining with DSTK 3 (FREE)


Have you ever wanted to learn data and text mining? Data Science is a very hot trend now. This FREE course will equip you with the fundamentals of data and text mining knowledge, with the use of our own DSTK - Data Science Toolkit 3. This course is based on our ebook at SVBook.com.

View Course »

About The Author...






Mr. Eric M. H. Goh

Eric Goh is a data scientist, software engineer, adjunct faculty and entrepreneur with years of experiences in multiple industries. His varied career includes data science, data and text mining, natural language processing, machine learning, intelligent system development, and engineering product design. He founded SVBook and extended it with DSTK.Tech and EMHAcademy.com. DSTK.Tech is where Eric develops his own DSTK data science softwares. Eric also publishes 5 books at LeanPub and SVBook, and teaches the content at Udemy and EMHAcademy.com. During his free time, Eric is also an adjunct faculty at University of the People.

Eric Goh has been leading his teams for various industrial projects, including the advanced product code classification system project which automates Singapore Custom’s trade facilitation process, and Nanyang Technological University's data science projects where he develop his own DSTK data science software. He has years of experience in C#, Java, C/C++, SPSS Statistics and Modeller, SAS Enterprise Miner, R, Python, Excel, Excel VBA and etc. He won Tan Kah Kee Young Inventors' Merit Award and Shortlisted Entry for TelR Data Mining Challenge.

He holds a Masters of Technology degree from the National University of Singapore, an Executive MBA degree from U21Global (currently GlobalNxt) and IGNOU, a Graduate Diploma in Mechatronics from A*STAR SIMTech (a national research institute located in Nanyang Technological University), and Coursera Specialization Certificate in Business Statistics and Analysis from Rice University. He possessed a Bachelor of Science degree in Computing from the University of Portsmouth after National Service. He is also a AIIM Certified Business Process Management Master (BPMM), GSTF certified Big Data Science Analyst (CBDSA), and IES Certified Lecturer.

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