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The Science of T20 Cricket: Decoding Player Performance with Predictive Modeling

Analytics Vidhya

This article explores how data analytics optimizes strategies by leveraging player performances and opposition weaknesses. Python programming predicts player performances, aiding team selections and game tactics.

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Rapidminer Platform Supports Entire Data Science Lifecycle

David Menninger's Analyst Perspectives

Rapidminer is a visual enterprise data science platform that includes data extraction, data mining, deep learning, artificial intelligence and machine learning (AI/ML) and predictive analytics. It can support AI/ML processes with data preparation, model validation, results visualization and model optimization.

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White Paper: Enabling Business Optimization and Expense Reduction Through the Use of Augmented Analytics

Smarten

No matter the reason or the goal, when an enterprise chooses the right Augmented Analytics solution and carefully plans for and executes its implementation, it can optimize business results, reduce expenses and improve its market position, customer satisfaction and user adoption, and it is key to transforming business users to Citizen Data Scientists (..)

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Assisted Predictive Modeling for Business Users!

Smarten

How Can I Leverage Assisted Predictive Modeling to Benefit My Business? Some people hear the term ‘assisted predictive modeling’ and their eyes cross. Analyze, share and optimize business potential. Explore Assisted Predictive Modeling and find out how it can benefit your organization.

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Predictive Analytics Use Case: Marketing Optimization!

Smarten

Without a fundamental understanding of how a customer makes a buying decision and how customers choose a product or service, the marketing and advertising process is based only on guesswork, and that guesswork is bound to result in lost revenue and poor optimization of the marketing budget. Learn More: Marketing Optimization.

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Shoot and Score With NBA Fantasy Predictive Modeling in Dataiku

Dataiku

In this series, we explore constructing a fantasy sports roster as an example use case of an organization having to optimally allocate resources. Here in part one, we introduce the topic of optimization in enterprise contexts and begin building an end-to-end solution with data exploration and predictive analytics in Dataiku.

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12 data science certifications that will pay off

CIO Business Intelligence

The certification consists of several exams that cover topics such as machine learning, natural language processing, computer vision, and model forecasting and optimization. You need experience in machine learning and predictive modeling techniques, including their use with big, distributed, and in-memory data sets.