Wed.Aug 28, 2019

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3 Beginner-Friendly Techniques to Extract Features from Image Data using Python

Analytics Vidhya

Overview Did you know you can work with image data using machine learning techniques? Deep learning models are the flavor of the month, but. The post 3 Beginner-Friendly Techniques to Extract Features from Image Data using Python appeared first on Analytics Vidhya.

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Your Definitive Guide To Building Valuable Narratives Through Data Storytelling

datapine

Stories inspire, engage, and have the unique ability to transform statistical information into a compelling narrative that can significantly enhance business success. By gaining centralized access to business data and presenting it in a visual way that follows a logical path and provides invaluable insights on a particular area or subject, you stand to set yourself apart from your competitors and become a leader in your field.

KPI 193
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New Poll: Data Science Skills

KDnuggets

New KDnuggets poll asks 1) What Data Science/Machine Learning-related skills you currently have, and 2) Which skills you want to add or improve? If you are human, please vote and we will analyze and publish the results.

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Building Smarter Reports with Conditional Hide – Webinar September 12, 2019

Jet Global

When building a report, you’ll often want to hide entire rows, columns, or even worksheets – all based on some criteria that may or may not be present. For instance, do you only want the report to show the list of customers that return a positive balance? How about hiding worksheets of vendors you don’t have outstanding orders with? Instead of lengthy workarounds, or even worse, maintaining multiple reports, you can use conditional hiding.

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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.

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A 2019 Guide to Human Pose Estimation

KDnuggets

Human pose estimation refers to the process of inferring poses in an image. Essentially, it entails predicting the positions of a person’s joints in an image or video. This problem is also sometimes referred to as the localization of human joints.

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BRIDGEi2i Newsletter: Q2 2019 Recap

bridgei2i

BRIDGEi2i Connect: Quarterly Newsletter. 96. Hi , It’s been an eventful quarter at BRIDGEi2i; from big new logo wins to inspiring client transformation stories shaping up and notable recognition from the industry, it’s been all action. Here are some highlights: SMART BI – AI powers the future of BI. Businesses today are demanding real-time intelligence for decision making creating a clear shift towards predictive and prescriptive insights.

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BRIDGEi2i Newsletter: Q1 2019 Recap

bridgei2i

BRIDGEi2i Connect: Quarterly Newsletter. 96. Hi , Hope 2019 is treating you and your business well! At BRIDGEi2i, we’ve been busy wrapping up what’s been a spectacular FY18-19. Here are some highlights from the last quarter of our financial year. Significant traction for BRIDGEfunnel: Our AI-powered guided-selling product that delivers improved win-rates.

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KDnuggetsâ„¢ News 19:n32, Aug 28: Handy SQL Features for Data Scientists; Nothing but NumPy: Creating Neural Networks with Computational Graphs

KDnuggets

Most useful SQL features for Data Scientist; Excellent tutorial on creating neural nets from scratch with Numpy; TensorFlow 2.0 highlights, explained; How to sell your boss on Data Analytics; and more.

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AI Maturity Survey: Where Are We in the Path to Enterprise AI?

Dataiku

With all the media hype and coverage around AI, one might think that every company out there has Enterprise AI all figured out and is extremely mature in their data journey. However, we surveyed more than 350 data professionals and found a different story.

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Why Your BI and Analytics Platform Should be Cloud-Agnostic

Sisense

Blog. In the early days of software development, applications were built to run on a single, compatible, physical machine. With the introduction of VMware in the 1990s, developers embraced the ability to run their applications on virtual machines that could then run on any physical machine architecture. And with the turn of the new millennium, cloud computing made its debut.

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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Top 6 Mistakes to Avoid When Running a Data Science POC

Dataiku

A proof of concept (POC) is a popular way for businesses to evaluate the viability of a system, product, or service to ensure it meets specific needs or sets of predefined requirements. But what does running a POC mean in practice specifically for data science?

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One simple chart: Who is interested in Apache Pulsar?

O'Reilly on Data

Multi-layer architecture, scalability, multitenancy, and durability are just some of the reasons companies have been using Pulsar. With companies producing data from an increasing number of systems and devices, messaging and event streaming solutions—particularly Apache Kafka —have gained widespread adoption. Over the past year, we’ve been tracking the progress of Apache Pulsar ( Pulsar ), a less well-known but highly capable open source solution originated by Yahoo.