KDnuggets

JANUARY 3, 2020

Why do most data scientists love Python? Learn more about how so many well-developed Python packages can help you accomplish your crucial data science tasks.

Data Science 152

Data Science 152

Data Science 101

JANUARY 3, 2020

Happy New Year. 2020 is here. A new decade! Unfortunately, it did not bring a flurry of data science announcements. I did create my list of 3 predictions for 2020, so those will be coming out soon. News. No significant news to report. Hopefully some releases and announcements will be coming next week. Videos. Machine Learning with Kubernetes on AWS A talk from Container Day 2019 in San Diego.

Data Science 78

Data Science Machine Learning Data Strategy Strategy 78

KDnuggets

JANUARY 3, 2020

This post presents a pipeline of building a KNN model in R with various measurement metrics.

Metrics 138

Metrics Measurement Modeling 138

Andrew White

JANUARY 3, 2020

Click here for an interactive PDF to connect to the most read data and analytics research directly. This list excludes our branded research such as Magic Quadrants etc. Ehtisham Zaidi scores his third “number 1” hit of 2019 with a new note targeting the data fabric. This will give you some inkling into new content for the data management thread at our upcoming data and analytics conference season (around the world).

Analytics 59

Analytics Interactive Management 59

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.

Experimentation

KDnuggets

JANUARY 3, 2020

The gender gap can extend to the lack of equal representation in certain industries or career paths, and there's an extraordinarily long way to go before people will be on equal footing in the labor market. Human resources professionals can rely on data analytics to make progress.

Data Science 54

Data Science Analytics Marketing Data Analytics 54

Andrew White

JANUARY 3, 2020

What are the assumptions you use to base your plans for 2020? It probably makes sense to be clear what assumptions underpin your plans for the coming year. After all, you need some foundations in place in order to take decision or create the framework on which others will take decisions. Here are a couple of assumptions that might impact information and technology investment decisions.

Testing 59

Testing Technology Analytics IT 59

Jet Global

JANUARY 3, 2020

When companies talk about becoming data-driven, they’re really talking about having a single source of truth (SSOT). It’s the holy grail of today’s insight-driven businesses, and it promises to transform how every decision is made to give companies complete control over their competitive advantage. Here’s the only problem: Very few companies actually have an SSOT to rely on.

Business Intelligence 69

Business Intelligence Forecasting Data-driven Metrics 69

Juice Analytics

JANUARY 3, 2020

Juice wouldn’t be the successful company that it is today without our friends who have championed our mission and expanded our network. We have identified several of Juice’s closest friends and advocates and we want to introduce them to you! Meet Terri Hall! Terri is the Director of Business Research Intelligence at the University of Notre Dame, where she has spent the last 21 years of her career.

Data Lake 55

Data Lake Dashboards Visualization Reporting 55

erwin

JANUARY 3, 2020

Understanding the data governance trends for the year ahead will give business leaders and data professionals a competitive edge … Happy New Year! Regulatory compliance and data breaches have driven the data governance narrative during the past few years. While these will remain big data governance trends for 2020, we anticipate organizations will finally begin tapping into the true value of data as the foundation of the digital business model.

Data Governance 139

Data Governance Digital Transformation IoT Metadata 139

Timo Elliott

JANUARY 3, 2020

This is a copy of a blog post that appeared in Digitalist Magazine , ably assisted by Shelly Dutton. . Among the world’s small and midsize companies, millions of multi-generational family businesses underpin many economies. They have proven their staying power by defeating the overwhelming odds of not surviving past the second generation of ownership.

Key Performance Indicator 68

Key Performance Indicator Machine Learning Digital Transformation Strategy 68

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.

Management

erwin

JANUARY 3, 2020

Understanding the data governance trends for the year ahead will give business leaders and data professionals a competitive edge … Happy New Year! Regulatory compliance and data breaches have driven the data governance narrative during the past few years. While these will remain big data governance trends for 2020, we anticipate organizations will finally begin tapping into the true value of data as the foundation of the digital business model.

Data Governance 52

Data Governance Digital Transformation IoT Metadata 52

Smarten

JANUARY 3, 2020

Assisted Predictive Modeling Delivers Predictive Analytics to Business Users! When we use terms like ‘predictive analytics’, it sometimes puts off the general business population. Team members might envision everything from a crystal ball to complex charts and graphs with unreadable numbers and conclusions. While predictive analytics techniques and predictive modeling does include complicated algorithms.

Predictive Modeling 52

Predictive Modeling Modeling Predictive Analytics Forecasting 52