Tue.Nov 26, 2019

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What is the Chi-Square Test and How Does it Work? An Intuitive Explanation with R Code

Analytics Vidhya

Overview What is the chi-square test? How does it work? Learn about the different types of Chi-Square tests and where and when you should. The post What is the Chi-Square Test and How Does it Work? An Intuitive Explanation with R Code appeared first on Analytics Vidhya.

Testing 306
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Probability Learning: Naive Bayes

KDnuggets

This post will describe various simplifications of Bayes' Theorem, that make it more practical and applicable to real world problems: these simplifications are known by the name of Naive Bayes. Also, to clarify everything we will see a very illustrative example of how Naive Bayes can be applied for classification.

IT 104
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Challenges of Data Science Projects

Data Science 101

It is no secret that data science is difficult. Companies struggle to succeed with data science projects. Even Gartner predicts that by 2022 only 20% of analytics projects will deliver business value. That means about 80% will fail to deliver value. Thus, companies need to be very careful about running data analytics projects. There are many reasons for the failure of data science projects.

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Top 6 Data Analytics Tools in 2019

FineReport

When it comes to data analytics tools, we always have questions. What is the difference between so many data analysis tools? Which is better? Which one should I study? Although this is a commonplace topic, it is really important, and I have been working hard to pursue the answer to this ultimate problem. If you go online to search for relevant information in this area, it is difficult to see a fair point of view.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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Machine Learning 101: The What, Why, and How of Weighting

KDnuggets

Weighting is a technique for improving models. In this article, learn more about what weighting is, why you should (and shouldn’t) use it, and how to choose optimal weights to minimize business costs.

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Challenges in replacing SSRS with Microsoft Power BI

BizAcuity

There are several reporting tools and platforms available today, and enterprises usually choose the one that is best suited for their business needs. Two popular options for reporting platforms are SQL Server Reporting Services (SSRS) and Microsoft Power BI. SSRS and Microsoft Power BI. SSRS is a server-based reporting platform that comes free with SQL Server 2012.

More Trending

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Top 5 Cities for Data Scientists to Thrive In

MLWhiz

Technological developments have paved the way for new niche industries, where professions like data science have appeared. Data scientists have the knowledge and expertise to perform the work that data analysts do, and then some. They analyze and interpret complex data sets of varying structures, and are able to solve obscure problems with codes, models, and machine-learning algorithms.

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AXA, State Auto and Hippo on how to fuse innovative tech to your company

KDnuggets

Join this live webinar: Fast, Agile, Service-Driven Insurance: Fuse Innovative Tech to Your Company DNA - AI, Chatbots, Automation and More, Dec 11 at 10:00am EST, to get actionable insight to develop your strategy.

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Unpacking Gartner’s assessment of IBM in the 2019 Magic Quadrant for Operational DBMS

IBM Big Data Hub

With the publication of Gartner’s 2019 Magic Quadrant (MQ) for Operational Database Management Systems, we were happy to see recognition of some of our key efforts from the past year. The integration of the Db2 common SQL engine and other rich features, edition simplification, commitment to multicloud and open source, and continued high-performance from our global support organization were praised as strengths among other notable AI benefits like machine learning optimization and natural languag

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3 Data Visualization “Aha” Moments to Ensure Your Data Has the Impact it Should

Depict Data Studio

Hi, I’m Cheryl D. Davis, a Senior Analyst for the Center for Education Innovation, Evaluation, & Research at the Willamette Education Service District. I work to help school districts turn data into actionable information. I’m interested in hearing assistance technology, grants management, Getting Things Done, and using Excel to its fullest! I am in the process of completing the Great Graphs on-line course Ann offers.

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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Getting to Know Your Speaker Armel Lupapi

Corinium

In the next addition of our 'getting to know your speaker', we are proud to bring you Armel Lupapi.

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Why Cloud-Native Management Tools Aren’t Enough

Nutanix

Keeping track of various and sundry cross-cloud resources has the potential to become mind-numbingly complex as hybrid and multi-cloud deployments heat up.

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Healthfirst: Using Data Science to Improve the Health of New Yorkers

DataRobot

If you’ve got tons of data but haven’t actually deployed models to real-life use cases, then what’s the point? How can your organization grow and make a difference? Organizations around the world want to make better predictions faster but are held back by manual processes and lack of resources. Healthfirst was in this exact position.

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Cost Management Tips for Your Private Cloud

Nutanix

Private clouds offer some very distinct benefits to IT teams. Most notably, security and predictability have become synonymous with private clouds.

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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.

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Winning the Future: Digital Transformation, the Cloud, and AWS

Sisense

Blog. With data growing at a staggering rate, managing and structuring it is vital to your survival. In our Event Spotlights series, we cover the biggest industry events helping builders learn about the latest tech, trends, and people innovating in the space. We live in a world of data. Think back to when your company first started storing data, years ago: do any of you remember those clunky tapes, floppy disks, burning CDs, and DVDs?

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Is AI Disrupting the Field of Behavioral Change Marketing?

Smart Data Collective

Artificial intelligence is intended to mimic the behavior of humans. However, AI technology can be applied in reverse – it can be used to change human behavior. There are a number of reasons AI can be great for social engineering, especially in the field of marketing. Julita Vassileva, a Professor at the University of Saskatchewan in Canada wrote a great paper on AI for Human Learning and Behavior.

Marketing 107