Ashok Srivastava
Mountain View, California, United States
8K followers
500+ connections
About
Ashok N. Srivastava, Ph.D. is Senior Vice President and Chief Data Officer at Intuit. He…
Articles by Ashok
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Can AI and ML help both consumers and small businesses deal with the complexity of financial transactions?
Can AI and ML help both consumers and small businesses deal with the complexity of financial transactions?
By Ashok Srivastava
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Applied Data Science Invited Talks at KDD 2017: Session on Data Science with Sensor Data
Applied Data Science Invited Talks at KDD 2017: Session on Data Science with Sensor Data
By Ashok Srivastava
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The Data Science Revolution: Why It’s Changing Every Aspects of Our Lives
The Data Science Revolution: Why It’s Changing Every Aspects of Our Lives
By Ashok Srivastava
Activity
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Intuit’s VP, Global Data Krithika Swaminathan shares more about her career journey and her advice for aspiring leaders. "What’s stayed consistent…
Intuit’s VP, Global Data Krithika Swaminathan shares more about her career journey and her advice for aspiring leaders. "What’s stayed consistent…
Liked by Ashok Srivastava
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There’s nothing more inspiring than random acts of kindness. When Olympic gold winner, Torri Huske shared her moment of joy with Gretchen Walsh…
There’s nothing more inspiring than random acts of kindness. When Olympic gold winner, Torri Huske shared her moment of joy with Gretchen Walsh…
Liked by Ashok Srivastava
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(*Trigger Warning*) My parents worked two jobs to afford to send my siblings and me to private schools. I studied for a month for the placement…
(*Trigger Warning*) My parents worked two jobs to afford to send my siblings and me to private schools. I studied for a month for the placement…
Liked by Ashok Srivastava
Experience
Education
Publications
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Advances in Machine Learning and Data Mining for Astronomy
CRC Press, Taylor and Francis Group
This book documents numerous successful collaborations among computer scientists, statisticians, and astronomers who illustrate the application of state-of-the-art machine learning and data mining techniques in astronomy. Due to the massive amount and complexity of data in most scientific disciplines, the material discussed in this text transcends traditional boundaries between various areas in the sciences and computer science.
Other authorsSee publication -
nu-Anomica: A Fast Support Vector Based Anomaly Detection Technique
IEEE International Conference on Data Mining
In this paper we propose $nu$-Anomica, a novel anomaly detection technique that can be trained on huge data sets with much reduced running time compared to the benchmark one-class Support Vector Machines algorithm. In $nu$-Anomica, the idea is to train the machine such that it can provide a close approximation to the exact decision plane using fewer training points and without losing much of the generalization performance of the classical approach. We have tested the proposed algorithm on a…
In this paper we propose $nu$-Anomica, a novel anomaly detection technique that can be trained on huge data sets with much reduced running time compared to the benchmark one-class Support Vector Machines algorithm. In $nu$-Anomica, the idea is to train the machine such that it can provide a close approximation to the exact decision plane using fewer training points and without losing much of the generalization performance of the classical approach. We have tested the proposed algorithm on a variety of continuous data sets under different conditions. We show that under all test conditions the developed procedure closely preserves the accuracy of standard one-class Support Vector Machines while reducing both the training time and the test time by 5-20 times.
Other authorsSee publication -
nu-Anomica: A Fast Support Vector Based Anomaly Detection Technique
IEEE International Conference on Data Mining
In this paper we propose $nu$-Anomica, a novel anomaly detection technique that can be trained on huge data sets with much reduced running time compared to the benchmark one-class Support Vector Machines algorithm. In $nu$-Anomica, the idea is to train the machine such that it can provide a close approximation to the exact decision plane using fewer training points and without losing much of the generalization performance of the classical approach. We have tested the proposed algorithm on a…
In this paper we propose $nu$-Anomica, a novel anomaly detection technique that can be trained on huge data sets with much reduced running time compared to the benchmark one-class Support Vector Machines algorithm. In $nu$-Anomica, the idea is to train the machine such that it can provide a close approximation to the exact decision plane using fewer training points and without losing much of the generalization performance of the classical approach. We have tested the proposed algorithm on a variety of continuous data sets under different conditions. We show that under all test conditions the developed procedure closely preserves the accuracy of standard one-class Support Vector Machines while reducing both the training time and the test time by 5-20 times.
Other authorsSee publication -
Stable and efficient Gaussian process calculations
Journal of Machine Learning Research
The use of Gaussian processes can be an effective approach to prediction in a supervised learning environment. For large data sets, the standard Gaussian process approach requires solving very large systems of linear equations and approximations are required for the calculations to be practical. We will focus on the subset of regressors approximation technique. We will demonstrate that there can be numerical instabilities in a well known implementation of the technique. We discuss alternate…
The use of Gaussian processes can be an effective approach to prediction in a supervised learning environment. For large data sets, the standard Gaussian process approach requires solving very large systems of linear equations and approximations are required for the calculations to be practical. We will focus on the subset of regressors approximation technique. We will demonstrate that there can be numerical instabilities in a well known implementation of the technique. We discuss alternate implementations that have better numerical stability properties and can lead to better predictions. Our results will be illustrated by looking at an application involving prediction of galaxy redshift from broadband spectrum data.
Other authorsSee publication -
Comparison of Unsupervised Anomaly Detection Methods for Systems Health Management Using Space Shuttle Main Engine Data
Proceedings of the Joint Army Navy NASA Air Force Conference on Propulsion
Honors & Awards
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Fellow, American Association for the Advancement of Science
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Fellow, American Institute of Aeronautics and Astronautics
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IEEE Fellow
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Organizations
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American Association for the Advancement of Science
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American Institute of Aeronautics and Astronautics
Fellow
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IEEE
Fellow
Recommendations received
3 people have recommended Ashok
Join now to viewMore activity by Ashok
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Just wrapped up an incredible offsite with my amazing team, and I couldn't be prouder of what we've achieved together! We started by celebrating…
Just wrapped up an incredible offsite with my amazing team, and I couldn't be prouder of what we've achieved together! We started by celebrating…
Liked by Ashok Srivastava
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Finances are personal, and so is how people manage their money. Intuit Credit Karma is leading the industry in providing personalized financial…
Finances are personal, and so is how people manage their money. Intuit Credit Karma is leading the industry in providing personalized financial…
Liked by Ashok Srivastava
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Welcome Forrest Norrod to Intuit's Board of Directors! Forrest has deep expertise in AI and technology innovation from his senior executive roles at…
Welcome Forrest Norrod to Intuit's Board of Directors! Forrest has deep expertise in AI and technology innovation from his senior executive roles at…
Liked by Ashok Srivastava
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Intuit’s Ashok Srivastava understands that clean data is crucial for quality #AI outcomes for customers. “Our data is cleaner now than it ever has…
Intuit’s Ashok Srivastava understands that clean data is crucial for quality #AI outcomes for customers. “Our data is cleaner now than it ever has…
Liked by Ashok Srivastava
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Intuit’s VP, Global Data Krithika Swaminathan shares more about her career journey and her advice for aspiring leaders. "What’s stayed consistent…
Intuit’s VP, Global Data Krithika Swaminathan shares more about her career journey and her advice for aspiring leaders. "What’s stayed consistent…
Liked by Ashok Srivastava
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I am very pleased to announce Kaleidescape's newest and best movie player, Strato V ... Dolby Vision, lossless audio decode, runs standalone, or add…
I am very pleased to announce Kaleidescape's newest and best movie player, Strato V ... Dolby Vision, lossless audio decode, runs standalone, or add…
Liked by Ashok Srivastava
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Leading with Pride—a mentorship program that inspires change for LGBTQ+ and allies https://dy.si/dqcCCV
Leading with Pride—a mentorship program that inspires change for LGBTQ+ and allies https://dy.si/dqcCCV
Liked by Ashok Srivastava
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I am so grateful for my 9 years in the Nebraska School of Computing at the University of Nebraska-Lincoln. My collaborators, the various…
I am so grateful for my 9 years in the Nebraska School of Computing at the University of Nebraska-Lincoln. My collaborators, the various…
Liked by Ashok Srivastava
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Many colleagues and friends were notified that they would be leaving Intuit soon. I wanted to take a minute to thank everyone for all their…
Many colleagues and friends were notified that they would be leaving Intuit soon. I wanted to take a minute to thank everyone for all their…
Liked by Ashok Srivastava
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Intuit’s VP, Global Data Krithika Swaminathan shares more about her career journey and her advice for aspiring leaders. "What’s stayed consistent…
Intuit’s VP, Global Data Krithika Swaminathan shares more about her career journey and her advice for aspiring leaders. "What’s stayed consistent…
Liked by Ashok Srivastava
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It was a pleasure speaking about Intuit's GenAI work with Matt Marshall this morning at VentureBeat Transform. It was great to hear from leading AI…
It was a pleasure speaking about Intuit's GenAI work with Matt Marshall this morning at VentureBeat Transform. It was great to hear from leading AI…
Liked by Ashok Srivastava
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Intuit’s VP, Global Data Krithika Swaminathan shares more about her career journey and her advice for aspiring leaders. "What’s stayed consistent in…
Intuit’s VP, Global Data Krithika Swaminathan shares more about her career journey and her advice for aspiring leaders. "What’s stayed consistent in…
Liked by Ashok Srivastava
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Intuit’s VP, Global Data Krithika Swaminathan shares more about her career journey and her advice for aspiring leaders. "What’s stayed consistent…
Intuit’s VP, Global Data Krithika Swaminathan shares more about her career journey and her advice for aspiring leaders. "What’s stayed consistent…
Liked by Ashok Srivastava
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I used to be depressed, broke, and anxious. Now, I only work 4 hours per day, travel the world, and make $1.23 million dollars every month. 10…
I used to be depressed, broke, and anxious. Now, I only work 4 hours per day, travel the world, and make $1.23 million dollars every month. 10…
Liked by Ashok Srivastava
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