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Loan Approval Prediction Machine Learning

Analytics Vidhya

Introduction In this article, we are going to solve the Loan Approval Prediction Hackathon hosted by Analytics Vidhya. classification refers to a predictive modeling problem where a class label is predicted for a given example of […].

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Automating the Automators: Shift Change in the Robot Factory

O'Reilly on Data

Building Models. A common task for a data scientist is to build a predictive model. You’ll try this with a few other algorithms, and their respective tuning parameters–maybe even break out TensorFlow to build a custom neural net along the way–and the winning model will be the one that heads to production.

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What to Do When AI Fails

O'Reilly on Data

All predictive models are wrong at times?—just As the renowned statistician George Box once quipped , “All models are wrong, but some are useful.” In the context of AI incidents, this complexity is problematic because it can make audits, debugging, and simply even understanding what went wrong nearly impossible.

Risk 364
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Cloudera AI Inference Service Enables Easy Integration and Deployment of GenAI Into Your Production Environments

Cloudera

To unlock the full potential of AI, however, businesses need to deploy models and AI applications at scale, in real-time, and with low latency and high throughput. It is ideal for deploying always-on AI models and applications that serve business-critical use cases. This is where the Cloudera AI Inference service comes in.

Metrics 73
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Private cloud makes its comeback, thanks to AI

CIO Business Intelligence

Private cloud providers may be among the key beneficiaries of today’s generative AI gold rush as, once seemingly passé in favor of public cloud, CIOs are giving private clouds — either on-premises or hosted by a partner — a second look. The excitement and related fears surrounding AI only reinforces the need for private clouds.

IT 143
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Why you should care about debugging machine learning models

O'Reilly on Data

Security vulnerabilities : adversarial actors can compromise the confidentiality, integrity, or availability of an ML model or the data associated with the model, creating a host of undesirable outcomes. Privacy harms : models can compromise individual privacy in a long (and growing) list of ways. [8]

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Cloudera Partners with Allitix to Fuel Enterprise Connected Planning Solutions

Cloudera

Cloudera is excited to announce a partnership with Allitix, a leading IT consultancy specializing in connected planning and predictive modeling. Data-backed Decisions Through Predictive Models Predictive models use historical data and analytics to forecast future outcomes through mathematical processes.