{
"item_title" : "Numsense! Data Science for the Layman",
"item_author" : [" Kenneth Soo", "Annalyn Ng "],
"item_description" : "Reference text in top universities like Stanford and CambridgeSold in over 85 countries, translated into more than 5 languagesWant to get started on data science? Our promise: no math added. This book has been written in layman's terms as a gentle introduction to data science and its algorithms. Each algorithm has its own dedicated chapter that explains how it works, and shows an example of a real-world application. To help you grasp key concepts, we stick to intuitive explanations and visuals. Popular concepts covered include:A/B TestingAnomaly DetectionAssociation RulesClusteringDecision Trees and Random ForestsRegression AnalysisSocial Network AnalysisNeural NetworksFeatures:Intuitive explanations and visualsReal-world applications to illustrate each algorithmPoint summaries at the end of each chapterReference sheets comparing the pros and cons of algorithmsGlossary list of commonly-used termsWith this book, we hope to give you a practical understanding of data science, so that you, too, can leverage its strengths in making better decisions.",
"item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/81/111/068/9811110689_b.jpg",
"price_data" : {
"retail_price" : "28.99", "online_price" : "28.99", "our_price" : "28.99", "club_price" : "28.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : ""
}
}
Overview
Reference text in top universities like Stanford and Cambridge
Sold in over 85 countries, translated into more than 5 languages
Want to get started on data science? Our promise: no math added. This book has been written in layman's terms as a gentle introduction to data science and its algorithms. Each algorithm has its own dedicated chapter that explains how it works, and shows an example of a real-world application. To help you grasp key concepts, we stick to intuitive explanations and visuals. Popular concepts covered include:
- A/B Testing
- Anomaly Detection
- Association Rules
- Clustering
- Decision Trees and Random Forests
- Regression Analysis
- Social Network Analysis
- Neural Networks
- Intuitive explanations and visuals
- Real-world applications to illustrate each algorithm
- Point summaries at the end of each chapter
- Reference sheets comparing the pros and cons of algorithms
- Glossary list of commonly-used terms
This item is Non-Returnable
Customers Also Bought
Details
- ISBN-13: 9789811110689
- ISBN-10: 9811110689
- Publisher: Annalyn Ng & Kenneth Soo
- Publish Date: March 2017
- Dimensions: 9 x 6 x 0.38 inches
- Shipping Weight: 0.62 pounds
- Page Count: 146
Related Categories
