Analytics Vidhya
OCTOBER 2, 2019
Overview Here are eight ambitious data science projects to add to your data science portfolio We have divided these projects into three categories – The post Add Shine to your Data Science Resume with these 8 Ambitious Projects on GitHub appeared first on Analytics Vidhya.
Corinium
OCTOBER 2, 2019
C. ustomers demand more instantaneous, personalized attention, and companies are leveraging new technologies that go beyond traditional voice and email customer service channels to meet those demands. But just how meaningful are these experiences on consumer buying behavior? How long does the effect last? Do new technologies and recent cultural. shifts significantly change the way experiences are evaluated?
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KDnuggets
OCTOBER 2, 2019
Applying a clustering algorithm is much easier than selecting the best one. Each type offers pros and cons that must be considered if you’re striving for a tidy cluster structure.
Data Science 101
OCTOBER 2, 2019
A few weeks ago, I attended my first SQLSaturday event. I brought along my camera and was lucky enough to record a couple interviews. This is one of those interviews. I sat down with John Byrnes and we discussed: Where has SQL taken his career? What does the SQLSaturday community mean to him? Why should someone attend a SQLSaturday event? SQLSaturday Interview with John Byrnes.
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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.
KDnuggets
OCTOBER 2, 2019
As data scientists who are the brains behind the AI-based innovations, you need to understand the significance of data preparation to achieve the desired level of cognitive capability for your models. Let’s begin.
Smart Data Collective
OCTOBER 2, 2019
According to a recent Adobe report , marketers have identified data-driven marketing as the most important business opportunity for 2019. That clearly indicates the importance that marketers give to data and why you should too. After all, data-driven marketing can help you achieve numerous benefits for your business, ultimately leading to an increase in conversions.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Sisense
OCTOBER 2, 2019
Blog. Different Business Needs Changes Convergence What to Do Now. Reporting and business intelligence are often used to refer to the same thing — but wrongly so! The difference between reporting and business intelligence goes beyond charts for the first or data correlations for the second. To understand how they compare, it’s best to start with the separate business and end-user needs that each of these two functions is meant to satisfy.
Domino Data Lab
OCTOBER 2, 2019
This article covers causal relationships and includes a chapter excerpt from the book Machine Learning in Production: Developing and Optimizing Data Science Workflows and Applications by Andrew Kelleher and Adam Kelleher. A complementary Domino project is available. . Introduction. As data science work is experimental and probabilistic in nature, data scientists are often faced with making inferences.
KDnuggets
OCTOBER 2, 2019
The tech giant Baidu unveiled its state-of-the-art NLP architecture ERNIE 2.0 earlier this year, which scored significantly higher than XLNet and BERT on all tasks in the GLUE benchmark. This major breakthrough in NLP takes advantage of a new innovation called “Continual Incremental Multi-Task Learning”.
Jet Global
OCTOBER 2, 2019
Financial ratios are one of the best resources in your performance management toolkit. Tracking various KPIs helps decision makers understand their strengths and weaknesses in depth. However, focusing on the relationship between various metrics improves understanding broadly and deeply. Corporate finance departments have been tracking ratios for years, but the practice has been less common at small and midsize businesses.
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.
KDnuggets
OCTOBER 2, 2019
This week, find out what the future of analytics and data science holds; get an introduction to spaCy for natural language processing; find out how to use time series analysis for baseball; get to know your data; read 6 bits of advice for data scientists; and much, much more!
Jet Global
OCTOBER 2, 2019
Performance either fuels or inhibits growth. That’s important to keep in mind in the context of a recent Gartner survey showing that growth is the top business priority for CEOs in 2019 and 2020. The economy is booming and opportunities abound, so now seems like an ideal time to expand. Whether or not that happens, however, depends entirely on how companies manage their performance.
KDnuggets
OCTOBER 2, 2019
Also: Top KDnuggets tweets, Sep 18-24: Python Libraries for Interpretable Machine Learning; Scikit-Learn: A silver bullet for basic ML; Automatic Version Control for Data Scientists; My journey path from a Software Engineer to BI Specialist to a Data Scientist.
Jet Global
OCTOBER 2, 2019
A recent survey conducted by Grant Thornton International offers important insights about the mindset of today’s CFOs. Almost all the respondents (95%) agree that finance must improve its technological expertise, especially in terms of data analytics. Half of the executives even identified analytics as the number one skill they want to cultivate moving forward.
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
OCTOBER 2, 2019
This online course is available – for free – to anyone interested in building practical skills in using data to solve problems better.
Jet Global
OCTOBER 2, 2019
The business world is at an inflection point when it comes to the application of Artificial Intelligence (or AI). While the technology behind enabling computers to simulate human thought has been developing, at times slowly, over the past half-century, the cost of implementation, readily available access to cloud computing, and practical business use cases are primed to help AI make a dramatic impact in the enterprise over the next few years.
CONTACT Software
OCTOBER 2, 2019
When I first heard about agility years ago, I first had the impression that processes and rules should be thrown overboard in order to miraculously realize volatile requirements in the twinkling of an eye. I couldn’t imagine how this would work: agility sounded to me like an unattainable wish concert. Initially, when our software development … Continue reading "Being agile or appearing agile?".
Nutanix
OCTOBER 2, 2019
The power of information is undeniable, and collecting and utilizing information in a timely manner can be a significant competitive advantage.
Speaker: Kevin Kai Wong, President of Emergent Energy Solutions
In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.
Dataiku
OCTOBER 2, 2019
In 2018, O’Reilly conducted a survey regarding the stage of machine learning adoption in organizations, and among the more than 11,000 respondents, almost half were still in the exploration phase. It’s probably safe to say that for at least some of those explorers, the prospect of risk when it comes to data and AI projects is paralyzing, causing them to stay in a phase of experimentation.
Jet Global
OCTOBER 2, 2019
We all know that data is the key to actionable decision making. In a fast-paced job like sales, you are surrounded by it. From gathering customer data to monitoring sales status to tracking goals, salespeople are collecting and using data at every possible minute. The challenge with having all of this data at your fingertips is organizing it. Without the right strategy and business intelligence tool in place, you are not able to derive meaningful insights from the data you work so hard to accumu
Jet Global
OCTOBER 2, 2019
When Oracle discontinued its Discover reporting tool , it left companies scrambling to find an alternative. Regardless of the strengths or weaknesses of Discover, many users relied on it as their primary reporting solution. In its absence, there was no way to access critical ERP data, which threw enterprise performance management into turmoil. Taking more time to evaluate enterprise IT is always recommended, but the terminal nature of Discover left companies without much time to plan their migra
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