Analytics Vidhya
FEBRUARY 6, 2020
The Challenge of Underfitting and Overfitting in Machine Learning You’ll inevitably face this question in a data scientist interview: Can you explain what is. The post Underfitting vs. Overfitting (vs. Best Fitting) in Machine Learning appeared first on Analytics Vidhya.
Smart Data Collective
FEBRUARY 6, 2020
I had an interesting encounter at a young professionals’ group the other day. I ran into the head of an analytics company with a lot of experience in big data. When I talk to people from analytics companies, they usually emphasize the technical aspects of their profession. This man was different. He talked extensively about the types of clients he worked with the most.
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Dataiku
FEBRUARY 6, 2020
An organization's data changes over time, but part of scaling data efforts is having the ability to glean the benefits of analysis and models over and over and over, despite changes in data. That's where the concept of a data pipeline comes in: data might change, but the transformations, the analysis, the machine learning model training sessions, and any other processes that are a part of the pipeline remain the same.
Smart Data Collective
FEBRUARY 6, 2020
Big data is changing the world in tremendous ways. One of the areas where big data is having the largest effect is with software development. A growing number of DevOps platforms are using new data analytics and machine learning tools to boost performance. Docker is one of them. The Role of Big Data with Docker for Software Development. Enterprises around the world have recently gained interest in Docker.
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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.
bridgei2i
FEBRUARY 6, 2020
From references of Mechanical men and artificial beings in Greek myths, such as the golden robots of Hephaestus and Pygmalion’s Galatea, the antikythera to realistic humanoid automatons built by craftsmen from diverse civilizations, including Yan Shi, Hero of Alexandria, Al-Jazari, Pierre Jaquet-Droz, and Wolfgang von Kempelen to the discovery of Leonardo Da Vinci’s complex sentient machine diagrams, one thing has remained constant: Artificial intelligence has always piqued society’s interest.
Andrew White
FEBRUARY 6, 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. Wow what a week – so many newly published research notes entered the top 20 most-read D&A notes! Pieter den Hamer scored his second number 1 “hit” of 2020 last week with this: How to Manage the Risks of Decision Automation.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Ontotext
FEBRUARY 6, 2020
Even after the surge of online shopping, brick-and-mortar stores around the world are still thriving. However, unlike their virtual counterparts, physical stores continually face the challenging task of preventing shoplifting, customer theft and refund fraud. Shoplifting costs the retail industry billions of US dollars every year and is a major contributor to inventory shrinkage and loss.
Data Virtualization
FEBRUARY 6, 2020
The awareness of what we know is not just a nice-to-have, but the very essence of knowledge itself. Knowledge does not exist by acts of faith; it requires transparency, trust, and communicability. “Knowing something” means knowing the entire path that.
DataRobot
FEBRUARY 6, 2020
What are SHAP values and how are they being used to explain machine learning predictions?
Nutanix
FEBRUARY 6, 2020
While this blog focuses on VDI, the Nutanix platform supports both VDI and DaaS solutions addressing a broad range of use-cases.
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.
erwin
FEBRUARY 6, 2020
As organizations deal with managing ever more data, the need to automate data management becomes clear. Last week erwin issued its 2020 State of Data Governance and Automation (DGA) Report. The research from the survey suggests that companies are still grappling with the challenges of data governance — challenges that will only get worse as they collect more data.
Nutanix
FEBRUARY 6, 2020
My first six months at Nutanix have been an incredible experience. In addition to all that I have learned from my new hungry, humble, and honest organization -- I’ve had the opportunity to meet and, most importantly, listen to many valued Nutanix partners like yourself.
Sisense
FEBRUARY 6, 2020
Blog. In Data Surrounds Us , we take a look at how technology is used to optimize the processes and decisions we make in our professional and personal lives. It won’t come as a shock that working in a data analytics company means data is one of our principal obsessions. We’re more than just believers in the power of data. We’re evangelists. The problem is, there’s just a frankly humongous volume of data out there.
Nutanix
FEBRUARY 6, 2020
While this blog focuses on VDI, the Nutanix platform supports both VDI and DaaS solutions addressing a broad range of use-cases.
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.
BI-Survey
FEBRUARY 6, 2020
Recent years have seen extensive interest in topics around explorative BI such as advanced and predictive analytics. Modernizing and optimizing enterprise reporting – or classical BI – has not been such a priority for many of today’s organizations, even though it constitutes the backbone of information supply for decision support. It is an increasing challenge for organizations to deliver high quality yet more flexible reporting solutions and applications in less time.
Nutanix
FEBRUARY 6, 2020
My first six months at Nutanix have been an incredible experience. In addition to all that I have learned from my new hungry, humble, and honest organization -- I’ve had the opportunity to meet and, most importantly, listen to many valued Nutanix partners like yourself.
Nutanix
FEBRUARY 6, 2020
My first six months at Nutanix have been an incredible experience. In addition to all that I have learned from my new hungry, humble, and honest organization -- I’ve had the opportunity to meet and, most importantly, listen to many valued Nutanix partners like yourself.
Nutanix
FEBRUARY 6, 2020
While this blog focuses on VDI, the Nutanix platform supports both VDI and DaaS solutions addressing a broad range of use-cases.
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.
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