1. Apache Spark machine learning blueprints : develop a range of cutting-edge machine learning projects with Apache Spark using this actionable guide /: develop a range of cutting-edge machine learning projects with Apache Spark using this actionable guide. (2016) Authors: Liu, Alex Record Type: Book Extent: 1 online resource, illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. Building machine learning projects with TensorFlow : engaging projects that will teach you how complex data can be exploited to gain the most insight /: engaging projects that will teach you how complex data can be exploited to gain the most insight. (2016) Authors: Bonnin, Rodolfo Record Type: Book Extent: 1 online resource (1 volume), illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. Hadoop : data processing and modelling : unlock the power of your data with Hadoop 2.X ecosystem and its data warehousing techniques across large data sets /: data processing and modelling : unlock the power of your data with Hadoop 2.X ecosystem and its data warehousing techniques across large data sets. (2016) Authors: Turkington, Garry; Deshpande, Tanmay; Karanth, Sandeep Record Type: Book Extent: 1 online resource, illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. Large scale machine learning with Spark : discover everything you need to build robust machine learning applications with Spark 2.0 /: discover everything you need to build robust machine learning applications with Spark 2.0. (2016) Authors: Karim, Md. Rezaul; Kaysar, Md. Mahedi Record Type: Book Extent: 1 online resource, illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗
5. Mastering data mining with Python : find patterns hidden in your data : learn how to create more powerful data mining applications with this comprehensive Python guide to advance data analytics techniques /: find patterns hidden in your data : learn how to create more powerful data mining applications with this comprehensive Python guide to advance data analytics techniques. (2016) Authors: Squire, Megan Record Type: Book Extent: 1 online resource, illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗
6. PostgreSQL development essentials : develop programmatic functions to create powerful database applications /: develop programmatic functions to create powerful database applications. (2016) Authors: Kaur, Manpreet; Shaik, Baji Record Type: Book Extent: 1 online resource, illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗
7. Practical data analysis cookbook : over 60 practical recipes on data exploration and analysis /: over 60 practical recipes on data exploration and analysis. ([2016]) Authors: Drabas, Tomasz Record Type: Book Extent: 1 online resource (1 volume), illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗
8. Python data science essentials : become an efficient data science practitioner by understanding Python's key concepts /: become an efficient data science practitioner by understanding Python's key concepts. (2016) Authors: Boschetti Alberto; Massaron, Luca Record Type: Book Extent: 1 online resource (1 volume), illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗
9. R Deep learning essentials : build automatic classification and prediction models using unsupervised learning /: build automatic classification and prediction models using unsupervised learning. (2016) Authors: Wiley, Joshua F Record Type: Book Extent: 1 online resource, illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗