Fri.Sep 20, 2019

article thumbnail

The Hidden Risk of AI and Big Data

KDnuggets

With recent advances in AI being enabled through access to so much “Big Data” and cheap computing power, there is incredible momentum in the field. Can big data really deliver on all this hype, and what can go wrong?

Big Data 112
article thumbnail

Nuts About Data Book Review

Data Science 101

Just released this week, Nuts about Data , is a fun introductory book about the data science process. Meor Amer tells a witty story about squirrels, mining for nuts, teamwork, and survival. It brings together the entire data science lifecycle from asking questions to final storytelling. It is a quick read and really fun. I highly recommend it and hope you enjoy it.

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

A Gentle Introduction to PyTorch 1.2

KDnuggets

This comprehensive tutorial aims to introduce the fundamentals of PyTorch building blocks for training neural networks.

117
117
article thumbnail

How Data is Powering The Future of Business: Trends and Opportunities

Timo Elliott

At the SAP UK Journey to the Top event this week, I presented a keynote on “How Data is Powering The Future of Business: Trends and Opportunities.” After struggling to find some way to talk about data that hasn’t already been covered a thousand times over the last few decades, I ended up focusing on real-world examples of organizations that have used data to innovate the way they do business.

ROI 65
article thumbnail

Beyond the Basics of A/B Tests: Innovative Experimentation Tactics You Need to Know as a Data or Product Professional

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

article thumbnail

Automate Hyperparameter Tuning for Your Models

KDnuggets

When we create our machine learning models, a common task that falls on us is how to tune them. So that brings us to the quintessential question: Can we automate this process?

article thumbnail

How to Choose Between Cloud-Based and On-premise Solutions

BizAcuity

Today, businesses run on huge amounts of data. Data is the backbone of most business decisions and hence data storage and management is a huge question. Businesses today have many choices when it comes to data storage. The obvious choice is to rely on traditional, time-tested legacy and on premise applications and software to do business. The other emerging option is to use the cloud to host your data as against just keeping everything within your own network.

More Trending

article thumbnail

Beyond Explainability: A Practical Guide to Managing Risks in Machine Learning Models

KDnuggets

This white paper provides the first-ever standard for managing risk in AI and ML, focusing on both practical processes and technical best practices “beyond explainability” alone. Download now.

Risk 49
article thumbnail

AI for Retail and CPG in a Consumer-Driven Era

Dataiku

With AI and new technologies radically transforming the way consumers engage with brands, products, and services in our everyday lives, there’s hardly been a more exciting time to be in the retail industry.