article thumbnail

12 data science certifications that will pay off

CIO Business Intelligence

The exam tests general knowledge of the platform and applies to multiple roles, including administrator, developer, data analyst, data engineer, data scientist, and system architect. Candidates for the exam are tested on ML, AI solutions, NLP, computer vision, and predictive analytics.

article thumbnail

The top 15 big data and data analytics certifications

CIO Business Intelligence

Organization: AWS Price: US$300 How to prepare: Amazon offers free exam guides, sample questions, practice tests, and digital training. The exam tests general knowledge of the platform and applies to multiple roles, including administrator, developer, data analyst, data engineer, data scientist, and system architect.

Big Data 126
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

CBRE’s Sandeep Davé on accelerating your AI ambitions

CIO Business Intelligence

Sandeep Davé knows the value of experimentation as well as anyone. As chief digital and technology officer at CBRE, Davé recognized early that the commercial real estate industry was ripe for AI and machine learning enhancements, and he and his team have tested countless use cases across the enterprise ever since.

article thumbnail

Ask Why! Finding motives, causes, and purpose in data science

Data Science and Beyond

Some people equate predictive modelling with data science, thinking that mastering various machine learning techniques is the key that unlocks the mysteries of the field. However, there is much more to data science than the What and How of predictive modelling. Causality and experimentation.

article thumbnail

DataRobot Notebooks: Enhanced Code-First Experience for Rapid AI Experimentation

DataRobot Blog

ML model builders spend a ton of time running multiple experiments in a data science notebook environment before moving the well-tested and robust models from those experiments to a secure, production-grade environment for general consumption. Capabilities Beyond Classic Jupyter for End-to-end Experimentation.

article thumbnail

Of Muffins and Machine Learning Models

Cloudera

They define each stage from data ingest, feature engineering, model building, testing, deployment and validation. Each time a project is successfully deployed, the trained model is recorded within the Models section of the Projects page. This might require making batch and individual predictions.

article thumbnail

Advanced Data Discovery and Augmented Analytics: Simple, Sophisticated Tools for Business Users

Smarten

Empowers business users with access to meaningful data to test theories and hypotheses without the assistance of data scientists or IT staff. Empowers business users with access to meaningful data to test theories and hypotheses without the assistance of data scientists or IT staff.