Fri.Jul 26, 2019

article thumbnail

Big Data, Machine Learning and Alteryx Inspires 2019

David Menninger's Analyst Perspectives

Alteryx Inspire 2019, this year's user conference for Alteryx, drew around 4500 customers, partners, and prospects to Nashville’s Gaylord Opryland Resort & Convention Center in Tennessee last month. The strong attendance was a reflection of the strong growth Alteryx has experienced over the last year; roughly 50% growth year-over-year. This year's conference focused on Alteryx's evolution from data preparation to AI and machine learning, and both were front and center.

article thumbnail

Convolutional Neural Networks: A Python Tutorial Using TensorFlow and Keras

KDnuggets

Different neural network architectures excel in different tasks. This particular article focuses on crafting convolutional neural networks in Python using TensorFlow and Keras.

122
122
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

Why EA Needs to Be Part of Your Digital Transformation Strategy

erwin

Enterprise architecture (EA) isn’t dead, you’re just using it wrong. Part three of erwin’s digital transformation blog series. . I’ll let you in on a little secret: the rumor of enterprise architecture’s demise has been greatly exaggerated. However, the truth for many of today’s fast-moving businesses is that enterprise architecture fails. But why?

article thumbnail

Top 13 Skills To Become a Rockstar Data Scientist

KDnuggets

Education, coding, SQL, big data platforms, storytelling and more. These are the 13 skills you need to master to become a rockstar data scientist.

Big Data 122
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

Many Blockchain Use Cases Need IoT To Succeed, And More

Martha Bennett

Many of the most advanced and successful blockchain projects involve use cases related to supply chain and logistics, ranging from documentation management and goods tracking to trade finance. Having access to a ‘golden record’ of key data is clearly a benefit in its own right – no more phone calls and email exchanges to reconcile […].

IoT 91
article thumbnail

Fantastic Four of Data Science Project Preparation

KDnuggets

This article takes a closer look at the four fantastic things we should keep in mind when approaching every new data science project.

More Trending

article thumbnail

5 Technologies That Will Disrupt Your Industry

Grooper

The extent to which technology benefits our organizations can't be overstated. This applies not only to processes and procedures intended to streamline and improve upon internal operations, but also to the goal of providing products, services and experiences that meet the expectations of clients whose lives are becoming more and more dependent on digital solutions.

article thumbnail

Many Blockchain Use Cases Need IoT To Succeed, And More

Martha Bennett

Many of the most advanced and successful blockchain projects involve use cases related to supply chain and logistics, ranging from documentation management and goods tracking to trade finance. Having access to a “golden record” of key data is clearly a benefit in its own right — no more phone calls and email exchanges to reconcile […].

IoT 40
article thumbnail

Okay, You Got a Knowledge Graph Built with Semantic Technology… And Now What?

Ontotext

Frequently dubbed too difficult to build or too complicated to understand, semantic technology is increasingly gaining popularity. Again. In case you missed the party, travel back to 2015 or to 2006 or maybe to the moderately noisy one in 1999. Whether you refer to the use of semantic technology as Linked Data technology or smart data management technology, these concepts boil down to connectivity.