Title
Mathematics Of Big Data: Spreadsheets, Databases, Matrices, And Graphs (Mit Lincoln Laboratory Series)
Delivery time: 8-12 business days (International)
The First Book To Present The Common Mathematical Foundations Of Big Data Analysis Across A Range Of Applications And Technologies.Today, The Volume, Velocity, And Variety Of Data Are Increasing Rapidly Across A Range Of Fields, Including Internet Search, Healthcare, Finance, Social Media, Wireless Devices, And Cybersecurity. Indeed, These Data Are Growing At A Rate Beyond Our Capacity To Analyze Them. The Toolsincluding Spreadsheets, Databases, Matrices, And Graphsdeveloped To Address This Challenge All Reflect The Need To Store And Operate On Data As Whole Sets Rather Than As Individual Elements. This Book Presents The Common Mathematical Foundations Of These Data Sets That Apply Across Many Applications And Technologies. Associative Arrays Unify And Simplify Data, Allowing Readers To Look Past The Differences Among The Various Tools And Leverage Their Mathematical Similarities In Order To Solve The Hardest Big Data Challenges.The Book First Introduces The Concept Of The Associative Array In Practical Terms, Presents The Associative Array Manipulation System D4M (Dynamic Distributed Dimensional Data Model), And Describes The Application Of Associative Arrays To Graph Analysis And Machine Learning. It Provides A Mathematically Rigorous Definition Of Associative Arrays And Describes The Properties Of Associative Arrays That Arise From This Definition. Finally, The Book Shows How Concepts Of Linearity Can Be Extended To Encompass Associative Arrays. Mathematics Of Big Data Can Be Used As A Textbook Or Reference By Engineers, Scientists, Mathematicians, Computer Scientists, And Software Engineers Who Analyze Big Data.
By changing our most important processes and
products, we have already made a big leap forward. This ranges from the
increased use of more sustainable fibers to the use of more
environmentally friendly printing processes to the development of
efficient waste management in our value chain.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.
Shipping & Returns
Shipping
We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.
Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
Shipping & Returns
Shipping
We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.
Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
Warranty
We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
Warranty
We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
Secure Payment
Your payment information is processed securely. We do not store credit card details nor have access to your credit card information.
We accept payments with :
Visa, MasterCard, American Express, Paypal, Shopify Payments, Shop Pay and more.
Secure Payment
Your payment information is processed securely. We do not store credit card details nor have access to your credit card information.
We accept payments with :
Visa, MasterCard, American Express, Paypal, Shopify Payments, Shop Pay and more.
Related Products
You may also like
Frequently Asked Questions
- Q: What is the main focus of the book 'Mathematics of Big Data'? A: The book focuses on presenting the common mathematical foundations of big data analysis across various applications and technologies, including tools like spreadsheets, databases, and graphs.
- Q: Who is the author of 'Mathematics of Big Data'? A: The author of the book is Jeremy Kepner.
- Q: What topics are covered in the book? A: The book covers topics such as associative arrays, data manipulation systems, graph analysis, and machine learning, providing a mathematically rigorous definition of associative arrays.
- Q: Is this book suitable for beginners? A: While the book can be complex, it is designed to be used as a textbook or reference by engineers, scientists, mathematicians, and computer scientists, making it more suitable for those with some background in mathematics or data analysis.
- Q: What is the publication date of 'Mathematics of Big Data'? A: The book was published on July 17, 2018.
- Q: How many pages does the book contain? A: The book contains a total of 448 pages.
- Q: What is the binding type of the book? A: The book is available in hardcover binding.
- Q: Can this book be used as a textbook? A: Yes, 'Mathematics of Big Data' can be used as a textbook for courses related to big data analysis and mathematics.
- Q: What kind of readers would benefit from this book? A: The book is beneficial for engineers, scientists, mathematicians, computer scientists, and software engineers who are involved in analyzing big data.
- Q: Does the book include practical examples or applications? A: Yes, the book includes practical examples and applications of associative arrays and their manipulation in various data analysis contexts.