Analytics Vidhya
MARCH 9, 2020
Learn how to build a decision tree model using Weka This tutorial is perfect for newcomers to machine learning and decision trees, and those. The post Build a Decision Tree in Minutes using Weka (No Coding Required!) appeared first on Analytics Vidhya.
Corinium
MARCH 9, 2020
The rise of data and analytics in the insurance industry means the underwriting profession is changing fast. Not everyone is thrilled about the rise of AI in the insurance industry.
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KDnuggets
MARCH 9, 2020
Upgrading your machine learning, AI, and Data Science skills requires practice. To practice, you need to develop models with a large amount of data. Finding good datasets to work with can be challenging, so this article discusses more than 20 great datasets along with machine learning project ideas for you to tackle today.
Data Science 101
MARCH 9, 2020
Emily Glassberg Sands is the Head of Data Science at Coursera. This is a nice talk about how Coursera uses data science to improve the scale of teaching and learning. This talk was delivered at Women in Data Science 2020. The post Emily Glassberg Sands – How Data Science Can Unlock Teaching & Learning at Scale appeared first on Data Science 101.
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.
KDnuggets
MARCH 9, 2020
In this article, we are listing down some excellent data science books which cover the wide variety of topics under Data Science.
Timo Elliott
MARCH 9, 2020
It’s always hard to make the right decisions when the data is uncertain. And that’s currently more important than ever, faced with the rise of the SARS-CoV-2 novel coronavirus and COVID-19, the disease it causes. For example, there are currently many discussions about the “true” mortality rate of the Covid-19 coronavirus. Some people insist that the currently reported mortality rates are wildly overestimated because of the “missing denominator” problem—the abs
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
IBM Big Data Hub
MARCH 9, 2020
The numbers are alarming. In 2018, the World Health Organization, reported the United States had the sixth highest number of preterm births in the world. In the United States today, 10 percent of children are born premature—three or more weeks before their due date. According to the 2019 March of Dimes Report Card, premature birth in the State of Ohio occurs at a rate of 10.3 percent.
Sisense
MARCH 9, 2020
Blog. In Transform to Win , we explore the challenges facing modern companies, diving into their individual digital transformations and the people who drive them. Learn about the changes they’re making to not just remain competitive, but win in the future to stand the test of time. One of the main goals of a digital transformation is to empower everyone within an organization to make smarter, data-driven decisions.
DataCamp
MARCH 9, 2020
To keep your competitive advantage, you’ll need to leverage ML in one form or another. But what exactly do business leaders need to know about ML to leverage it as effectively as possible? Read on to find out.
IBM Big Data Hub
MARCH 9, 2020
Staying at the forefront of digital transformation means embracing constant change. It’s about staying nimble to customer demands, tapping into the pulse of a shifting market, and taking actions on insights as they’re developed. All of this can be made possible through continuous intelligence (CI).
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.
Jet Global
MARCH 9, 2020
PeopleSoft, part of the Oracle family since 2004, transacts and stores key data for various ERP functions, including finance. As in any organization, financial functions are the heartbeat of the company and having accurate financial information, at any time, is critical to decision-making. But it’s not only about providing executive management with effective, flexible, and comparative reporting around income statements, balance sheets, and cash flow forecasts.
KDnuggets
MARCH 9, 2020
Learn from the head of the data science department in research and early development at Roche. Use the code KDNUGGETS for a 15% discount on your Predictive Analytics World ticket, 11-12 May in Munich.
Jet Global
MARCH 9, 2020
Executing the vision of your construction firm is priority number one, so we’ve crafted a list of the top ten ways fast and accurate financial reporting delivers increased value to your firm, helping to round out your vision. From enabling cash flow for new projects to the decision-making process needed for predictive trends, our infographic can empower your organization to meet both today’s and tomorrow’s challenges in the construction industry.
Andrew White
MARCH 9, 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. Alex Linden’s new note, focusing on how to select an AI solution from off-the-shelf to custom-made approaches , was at number 10 two weeks ago but last week it ran up to top spot!
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.
Perceptual Edge
MARCH 9, 2020
It galls me when people oversell data visualization. Data visualization combines technologies (visual representations of quantitative data) with specific skills (techniques for creating and interacting with those visual representations) to make sense of and communicate quantitative data. It does not replace the other technologies and skillsets that are also needed to derive value from quantitative data; it complements them.
Andrew White
MARCH 9, 2020
How Your Business Can Respond to Coronavirus (COVID-19)? Free Gartner webinar March 9th 2020 9pm eastern daylight time. Discussion Topics: How to prepare for pandemics. How data and analytics can be used effectively. How technology helps companies operate during a pandemic.
Teradata
MARCH 9, 2020
STC uses Teradata to serve each segment as one team, increasing response rates, customer satisfaction, and revenue as well as reducing operating and call center costs.
KDnuggets
MARCH 9, 2020
Also: Linear to Logistic Regression, Explained Step by Step; Trends in Machine Learning in 2020; Tokenization and Text Data Preparation with TensorFlow & Keras; The Death of Data Scientists — will AutoML replace them?
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.
Peter James Thomas
MARCH 9, 2020
The author, engaged in measuring maturity – © Jennifer Thomas Photography – view full photo. In the thirteen years that have passed since the beginning of 2007, I have helped ten organisations to develop commercially-focused Data Strategies [1]. I last wrote about the process of creating a Data Strategy back in 2014 and – with the many changes that the field has seen since then – am overdue publishing an update, so watch this space.
Andrew White
MARCH 9, 2020
Diane Coyle‘a new paper, The Value of Data , is most interesting. The paper’s findings and recommendations seem somewhat consistent, and are focused on public policy implications for private markets, as is the recent EU Data Strategy white paper. After reading both and comparing the recommendations made to how markets operate and how information drives competitive behaviour, I found questions and challenges in both papers and shared a few of them in a recent blog.
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