-
W empik go
Machine Learning for Data Mining - ebook
Słuchaj i czytaj w abonamencie Go Standard już za 24,99 zł / 30 dni. Subskrypcja Go Standard daje możliwość dodania do biblioteki 3 dowolne tytuły w danym okresie rozliczeniowym (30 dni). Wybierasz z ponad 200 tys. audiobooków, ebooków i podcastów.
Machine Learning for Data Mining - ebook
Get efficient in performing data mining and machine learning using IBM SPSS Modeler
Key Features:
Learn how to apply machine learning techniques in the field of data scienceUnderstand when to use different data mining techniques, how to set up different analyses, and how to interpret the resultsA step-by-step approach to improving model development and performance
Book Description:
Machine learning (ML) combined with data mining can give you amazing results in your data mining work by empowering you with several ways to look at data. This book will help you improve your data mining techniques by using smart modeling techniques.
This book will teach you how to implement ML algorithms and techniques in your data mining work. It will enable you to pair the best algorithms with the right tools and processes. You will learn how to identify patterns and make predictions with minimal human intervention. You will build different types of ML models, such as the neural network, the Support Vector Machines (SVMs), and the Decision tree. You will see how all of these models works and what kind of data in the dataset they are suited for. You will learn how to combine the results of different models in order to improve accuracy. Topics such as removing noise and handling errors will give you an added edge in model building and optimization.
By the end of this book, you will be able to build predictive models and extract information of interest from the dataset
What you will learn:
Hone your model-building skills and create the most accurate modelsUnderstand how predictive machine learning models workPrepare your data to acquire the best possible resultsCombine models in order to suit the requirements of different types of dataAnalyze single and multiple models and understand their combined resultsDerive worthwhile insights from your data using histograms and graphs
Who this book is for:
If you are a data scientist, data analyst, and data mining professional and are keen to achieve a 30% higher salary by adding machine learning to your skillset, then this is the ideal book for you. You will learn to apply machine learning techniques to various data mining challenges. No prior knowledge of machine learning is assumed.
Jesus Salcedo has a PhD in psychometrics from Fordham University. He is an independent statistical consultant and has been using SPSS products for over 20 years. He is a former SPSS Curriculum Team Lead and Senior Education Specialist who has written numerous SPSS training courses and trained thousands of users.
| Kategoria: | Computer Technology |
| Język: | Angielski |
| Zabezpieczenie: |
Watermark
|
| ISBN: | 978-1-83882-155-5 |
| Rozmiar pliku: | 33 MB |
