Understanding Boxplots
KDnuggets
NOVEMBER 8, 2019
A boxplot. It can tell you about your outliers and what their values are. It can also tell you if your data is symmetrical, how tightly your data is grouped, and if and how your data is skewed.
Fri.Nov 08, 2019
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How to Choose Between Cloud-Based and On-premise Solutions
BizAcuity
NOVEMBER 8, 2019
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.
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Orchestrating Dynamic Reports in Python and R with Rmd Files
KDnuggets
NOVEMBER 8, 2019
Do you want to extract csv files with Python and visualize them in R? How does preparing everything in R and make conclusions with Python sound? Both are possible if you know the right libraries and techniques. Here, we’ll walk through a use-case using both languages in one analysis.
Whitepaper: The-Hitchhiker’s-Journey-from-Analytics-to-AI
bridgei2i
NOVEMBER 8, 2019
Unravelling the Enterprise roadmap to AI journey. Now that we’re on the spaceship to this new AI-enabled planet, it seems pertinent to understand the journey that we’ve had to get here. The shift of this big data journey from pure-play analytics to sophisticated artificial intelligence algorithms and techniques has been one with its own set of challenges.
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know
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.
3 Reasons to attend Data Natives, 25-26 November, Berlin
KDnuggets
NOVEMBER 8, 2019
Data Natives is an outstanding conference that lets you meet many talented Data Scientists and Data Professionals. Find your dream company or your dream employee and level up for 2020. Use code DN19_KDNuggets_50 to save.
Data and AI Forum: Highlights from Business Analytics
IBM Big Data Hub
NOVEMBER 8, 2019
IBM’s Data and AI Forum was chock full of the latest news and trends from all over the Data and AI landscape. Importantly, it was as especially important event for IBM Business Analytics users as we unveiled the latest and greatest from IBM Planning Analytics and IBM Cognos Analytics.
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How to Choose Between Cloud-Based and On-premise Solutions
BizAcuity
NOVEMBER 8, 2019
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.
Top October Stories: How to Become a (Good) Data Scientist; Everything a Data Scientist Should Know About Data Management; The Last SQL Guide for Data Analysis
KDnuggets
NOVEMBER 8, 2019
Also A European Approach to Master's Degrees in Data Science; How YouTube is Recommending Your Next Video.
Data Science Fails: Watch Out for Typos
DataRobot
NOVEMBER 8, 2019
Back when I was doing my undergraduate degree, I remember being asked to proofread a friend’s economics essay. I didn’t make it past the first paragraph before spotting the surprising phrase “John Maynard Keynes' work was impotent.” While there was a possibility that my friend wanted to criticize Keynes’ work, the remainder of the essay was pro-Keynes.
Two Large Barriers to Widescale AI Adoption in Chemical Manufacturing
Dataiku
NOVEMBER 8, 2019
A report by Accenture postulated $550 billion could be unlocked for the chemical industry in the next decade by digitalization. Though chemical companies are eager to embrace opportunities that will enhance efficiency and boost revenue and profitability, few have fully harnessed the available tools.
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.
How to choose the best dashboard tool for your business
BizAcuity
NOVEMBER 8, 2019
A BI dashboard — or business intelligence dashboard — is an information management tool that uses data visualization to display KPIs (key performance indicators) tracked by a business to assess various aspects of performance. They aim at simplifying huge amounts of data, into simpler insights that can been easily understood and used. The purpose of any BI dashboard is to help business users make better-informed decisions by letting them gather, consolidate and analyse their data.
What’s New in Excel for Financial Professionals?
Jet Global
NOVEMBER 8, 2019
Microsoft has announced several new calculation functions for Excel, from a better XLOOKUP function to new dynamic array functions SORT , FILTER , UNIQUE , and SEQUENCE , to a new geography and stock function FIELDVALUE. While these functions are already in Excel for Office Insiders, you should expect them to arrive in your subscription of Office 365 soon.
How to choose the best dashboard tool for your business
BizAcuity
NOVEMBER 8, 2019
A BI dashboard — or business intelligence dashboard — is an information management tool that uses data visualization to display KPIs (key performance indicators) tracked by a business to assess various aspects of performance. They aim at simplifying huge amounts of data, into simpler insights that can been easily understood and used. The purpose of any BI dashboard is to help business users make better-informed decisions by letting them gather, consolidate and analyse their data.
How to Build an Intelligent EPM Reporting Strategy
Jet Global
NOVEMBER 8, 2019
The details of an intelligent EPM reporting strategy are complex, but the concept is quite simple: Intelligent reporting differentiates itself from other types by putting the emphasis on the application of the reports rather than the creation. Previously, the process of reporting involved the systematic collection, integration, and analysis of data, which required the finance team to repeat the same inefficient routines anytime reports were required.
Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications
Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage
Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.
How to choose the best dashboard tool for your business
BizAcuity
NOVEMBER 8, 2019
A BI dashboard — or business intelligence dashboard — is an information management tool that uses data visualization to display KPIs (key performance indicators) tracked by a business to assess various aspects of performance. They aim at simplifying huge amounts of data, into simpler insights that can been easily understood and used. The purpose of any BI dashboard is to help business users make better-informed decisions by letting them gather, consolidate and analyse their data.
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