Cloudera

DECEMBER 4, 2024

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

Metrics Data Processing Machine Learning Deep Learning 73

O'Reilly on Data

DECEMBER 12, 2019

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]

Machine Learning 282

Machine Learning Modeling Testing Risk Management 282

CIO Business Intelligence

APRIL 25, 2022

The course includes instruction in statistics, machine learning, natural language processing, deep learning, Python, and R. Due to the short nature of the course, it’s tailored to those already in the industry who want to learn more about data science or brush up on the latest skills. Remote courses are also available.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

Smart Data Collective

MAY 17, 2021

All that performance data can be fed into a machine learning tool specifically designed to identify certain events, failures or obstacles. Predictive models, estimates and identified trends can all be sent to the project management team to speed up their decisions. That’s also where big data can step in and vastly expand ops.

Big Data 132

Big Data Cost-Benefit IoT Machine Learning 132

IBM Big Data Hub

JULY 6, 2023

An e-commerce conglomeration uses predictive analytics in its recommendation engine. An online hospitality company uses data science to ensure diversity in its hiring practices, improve search capabilities and determine host preferences, among other meaningful insights. Machine learning and deep learning are both subsets of AI.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

Domino Data Lab

JULY 9, 2019

He advocated that an impactful ML solution does not end with Google Slides but becomes “a working API that is hosted or a GUI or some piece of working code that people can put to work” Wiggins also dove into examples of applying unsupervised, supervised, and reinforcement learning to address business problems.

Data Science 112

Data Science Machine Learning Advertising Modeling 112