Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
How Generative AI Helps Predictive AI
Originally published in Forbes, August 21, 2024 This is the...
4 Ways Machine Learning Can Perpetuate Injustice and What to Do About It
Originally published in Built In, July 12, 2024 When ML...
The Great AI Myth: These 3 Misconceptions Fuel It
Originally published in Forbes, July 29, 2024 The hottest thing...
Where FICO Gets Its Data for Screening Two-Thirds of All Card Transactions
Originally published in The European Business Review, March 21,...

On-Demand Webinar: Practical Customer Analytics using Predictive Approaches

Webinar ImagesAre you using predictive approaches to truly leverage customer analytics? If not, I highly recommend this webinar where we’ll review predictive analytic approaches to common customer analytics tasks such as predicting likelihood to purchase or expected near-term customer value.
Presented by: Dean Abbott, Co-Founder and Chief Data Scientist, SmarterHQ & Dell Statistica

Predictive approaches include considerable data cleaning and preparation, building predictive models, and assessing the predictive models. At each stage of the process, practical tips for accomplishing these tasks will be described with specific “how to’s”. We will also discuss compromises that inevitably need to be made because of data problems and time pressures to deploy solutions to operational systems.
Dean Abbott is Co-Founder and Chief Data Scientist of SmarterHQ, and President of Abbott Analytics, Inc. in San Diego, California. Mr. Abbott is an internationally recognized data mining and predictive analytics expert with over two decades of experience applying advanced data mining algorithms, data preparation techniques, and data visualization methods to real-world problems, including fraud detection, risk modeling, text mining, personality assessment, response modeling, survey analysis, planned giving, and predictive toxicology

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