- Java for Data Science
- Java for Data Science
- Credits
- About the Authors
- About the Reviewers
- www.PacktPub.com
- Customer Feedback
- Preface
- 1. Getting Started with Data Science
- Problems solved using data science
- Understanding the data science problem - solving approach
- Acquiring data for an application
- The importance and process of cleaning data
- Visualizing data to enhance understanding
- The use of statistical methods in data science
- Machine learning applied to data science
- Using neural networks in data science
- Deep learning approaches
- Performing text analysis
- Visual and audio analysis
- Improving application performance using parallel techniques
- Assembling the pieces
- Summary
- 2. Data Acquisition
- 3. Data Cleaning
- 4. Data Visualization
- 5. Statistical Data Analysis Techniques
- 6. Machine Learning
- 7. Neural Networks
- 8. Deep Learning
- 9. Text Analysis
- 10. Visual and Audio Analysis
- 11. Mathematical and Parallel Techniques for Data Analysis
- 12. Bringing It All Together
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Authors
Richard M. Reese
Jennifer L. Reese
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Copy Editors
Vikrant Phadkay
Safis Editing
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Reviewers
Walter Molina
Shilpi Saxena
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Project Coordinator
Nidhi Joshi
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Commissioning Editor
Veena Pagare
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Proofreader
Safis Editing
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Acquisition Editor
Tushar Gupta
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Indexer
Aishwarya Gangawane
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Content Development Editor
Aishwarya Pandere
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Graphics
Disha Haria
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Technical Editor
Suwarna Patil
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Production Coordinator
Nilesh Mohite
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