O'Reilly on Data

JUNE 18, 2019

“AI starts with ‘good’ data” is a statement that receives wide agreement from data scientists, analysts, and business owners. As model building become easier, the problem of high-quality data becomes more evident than ever. As model building become easier, the problem of high-quality data becomes more evident than ever.

Machine Learning 264

Machine Learning Data Quality Statistics Modeling 264

CIO Business Intelligence

APRIL 25, 2022

An education in data science can help you land a job as a data analyst , data engineer , data architect , or data scientist. WeCloudData is a data science and AI academy that offers a number of bootcamps as well as a diploma program and learning paths composed of sequential courses. SIT Academy.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

Sisense

APRIL 15, 2021

Analytics is the future. Your company is gathering data (and has likely been doing so for years), and you’ve probably got a system or two to glean insights from that data to make smarter decisions. The good news is that augmented analytics will make your life a lot easier! Simplify analytics with AI.

Analytics 98

Analytics Data Science Modeling Machine Learning 98

datapine

AUGUST 14, 2019

Data science has become an extremely rewarding career choice for people interested in extracting, manipulating, and generating insights out of large volumes of data. To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

IBM Big Data Hub

NOVEMBER 29, 2023

For instance, if a business prioritizes accuracy in generating synthetic data, the resulting output may inadvertently include too many personally identifiable attributes, thereby increasing the company’s privacy risk exposure unknowingly. How to get started with synthetic data in watsonx.ai

Metrics 80

Metrics Machine Learning Statistics Risk 80

O'Reilly on Data

JULY 28, 2020

These measures are commonly referred to as guardrail metrics , and they ensure that the product analytics aren’t giving decision-makers the wrong signal about what’s actually important to the business. Acquiring data is often difficult, especially in regulated industries. Data Quality and Standardization.

Marketing 363

Marketing Experimentation Metrics Testing 363

O'Reilly on Data

MARCH 31, 2020

Pragmatically, machine learning is the part of AI that “works”: algorithms and techniques that you can implement now in real products. We won’t go into the mathematics or engineering of modern machine learning here. After training, the system can make predictions (or deliver other results) based on data it hasn’t seen before.

Management 339

Management Machine Learning Experimentation Metrics 339