Mon.Jun 29, 2020

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4 Simple Ways to Split a Decision Tree in Machine Learning

Analytics Vidhya

Overview How do you split a decision tree? What are the different splitting criteria when working with decision trees? Learn all about decision tree. The post 4 Simple Ways to Split a Decision Tree in Machine Learning appeared first on Analytics Vidhya.

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Usage of Programming Languages by Data Scientists: Python Grows while R Weakens

Business Over Broadway

The practice of data science, including work in machine learning and artificial intelligence, requires the use of analytics tools, technologies and programming languages. A recent survey of nearly 20,000 data professionals by Kaggle revealed that Python, SQL and R continue to be the most popular programming languages. The most popular, by far, was Python (87% used).

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Is Yann LeCun the New Marie Curie?

Dataiku

Deep learning has met increasing hype in the last few years, and with lots of practical success. But does that necessarily indicate an exponential growth in AI over the next few years? A Parallel History.

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Announcing Vantage Trial

Teradata

Vantage Trial provides free, 30-day access to Teradata Vantage in the cloud along with easy-to-use, web-based tools and applications for performing advanced analytics. Learn more.

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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An Enterprise Guide to Building a Data Literacy Program

DataCamp

How to create a purposeful, scalable data program that balances learning with productivity.

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Five real-life Netezza performance server use cases

IBM Big Data Hub

Follow @IBMAnalytics. Right now, businesses are focused on getting the most out of their Data and AI platform without overspending to make sure it is operational and running productive workloads. This means having an always-on, 24x7 system that can handle huge spikes in workloads when needed. Many customers have turned to Netezza for this reason, depending on its record of reliability and simplicity.

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Data and Analytics in the Coming Cash and M&A Bonanza

Andrew White

Back in April as the Covid-19 reset was winding itself around the global economy I asked in a blog if your company had stashed enough cash away. I asked this question as several threads had converged in my head and has been triggered by an article in the Economist: Firms that enter an economic downturn with riskier balance sheets may find access to re-finance options harder just at the time they might need them.

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Self-Service Business Intelligence – Reporting that will Drive Your Company’s Success

ScienceSoft

ScienceSoft shares which components a self-service BI solution should support and what tools enable intuitive business intelligence reporting.

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Are You Afraid of Advanced Analytics?

Jet Global

In business, you have access to so much data that it can be scary. With loads of information coming at you, how do you know where to start? It’s easy to get buried under it all and feel haunted by the overload of information, not knowing where to start digging in to improve business operations. That’s where advanced analytics comes in. Advanced analytics is autonomous or semi-autonomous examination of data using techniques and tools that typically go beyond business intelligence (BI).