Analytics Vidhya
MARCH 16, 2020
Introduction Like any discipline, data science also has a lot of “folk wisdom”. This folk wisdom is hard to teach formally or in a. The post 8 Powerful Hacks to Ace Data Science Hackathons appeared first on Analytics Vidhya.
Corinium
MARCH 16, 2020
Customer experience optimization initiatives that depend too heavily on customer surveys or focus groups can lead organizations to make poor business decisions. When an executive wants to find out what customers think of their business, a logical ‘first thought’ might be to go out and ask them. This will work a lot of the time. But in certain circumstances, can also lead businesses to make terrible decisions.
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KDnuggets
MARCH 16, 2020
Will AI always be 5-10 years away? The majority of respondents to this poll think that AutoML will reach expert level in 5-10 years. Interestingly, it is about the same as 5 years ago. We examine the trends by AutoML experience, industry, and region.
Data Science 101
MARCH 16, 2020
To be great with machine learning, it helps to be a great engineer. That means doing the following: write simple code make it readable comment it fix the ever present sign mistake leverage peer review and version control track performance launch and iterate. Those are the general rules for software engineering, this video contains some specific rules for software with machine learning.
Speaker: Anne Steiner and David Laribee
As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.
DataCamp
MARCH 16, 2020
Dive deeper into what you need to know about machine learning to sustainably grow your data function and your company at large.
FineReport
MARCH 16, 2020
Kenapa semua orang suka menggunakan jenis peta yang berbeda-beda untuk memvisualisasi informasi di laporan berita atau laporan analisa data? Selain tingkat efisiensi yang tinggi dalam mengirimkan informasi, ada alasan penting lain, yaitu, menarik. Tidak peduli seberapa membosankan sebuah konten, asalkan dilengkapi dengan peta yang keren, pasti akan menarik perhatian.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
KDnuggets
MARCH 16, 2020
Let’s see whether robots will become "grave diggers" of the proletariat, what do we lack to get total automation, and what compromises exist.
Sisense
MARCH 16, 2020
Blog. Data’s more influential than ever, but just how much data is there? In The Wide World of Data , we dig into astonishing facts and trends about the size and growth of the datasphere, how data is being used, and how it truly makes up the entire world around us. We’re in the midst of a new era in human and social development: the data revolution.
Data Science 101
MARCH 16, 2020
To be great with machine learning, it helps to be a great engineer. That means doing the following: write simple code make it readable comment it fix the ever present sign mistake leverage peer review and version control track performance launch and iterate. Those are the general rules for software engineering, this video contains some specific rules for software with machine learning.
FineReport
MARCH 16, 2020
Kenapa semua orang suka menggunakan jenis peta yang berbeda-beda untuk memvisualisasi informasi di laporan berita atau laporan analisa data? Selain tingkat efisiensi yang tinggi dalam mengirimkan informasi, ada alasan penting lain, yaitu, menarik. Tidak peduli seberapa membosankan sebuah konten, asalkan dilengkapi dengan peta yang keren, pasti akan menarik perhatian.
Speaker: Margaret-Ann Seger, Head of Product, Statsig
Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating
Data Virtualization
MARCH 16, 2020
There is a common saying in entrepreneurial circles that goes, “During a gold rush, sell shovels.” The origin of this saying dates back to the California Gold Rush of the mid 1800s, in which thousands of gold prospectors across the.
ScienceSoft
MARCH 16, 2020
ScienceSoft provides expertise on the components of data warehouse pricing and the ranges of DWH costs.
KDnuggets
MARCH 16, 2020
Also: 50 Must-Read Free Books For Every Data Scientist in 2020; Decision Boundary for a Series of Machine Learning Models; 20 AI, Data Science, Machine Learning Terms You Need to Know in 2020 (Part 2).
Nutanix
MARCH 16, 2020
As Coronavirus continues to spread, we want to take a moment to inform our community about the steps Nutanix is taking to ensure the well-being of our employees while continuing to serve our customers and partners.
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.
KDnuggets
MARCH 16, 2020
The framework uses a multi-hop QA method to answer complex questions by reasoning through Wikipedia’s datasets.
Nutanix
MARCH 16, 2020
Breaking cluster boundaries for seamless data management.
Octopai
MARCH 16, 2020
Access all your business intelligence processes and information from wherever you are, on a single centralized cloud metadata platform. Well before this coronavirus pandemic, zero-touch or remote work had already been revolutionizing the way businesses operate. Organizations and their workers are turning to this form of work- a.k.a. remote work from home – either as a mandatory employer request or a voluntary option to prevent further spread of coronavirus.
Nutanix
MARCH 16, 2020
As Coronavirus continues to spread, we want to take a moment to inform our community about the steps Nutanix is taking to ensure the well-being of our employees while continuing to serve our customers and partners.
Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO
The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.
Smart Data Collective
MARCH 16, 2020
Democrat presidential hopeful Bernie Sanders is running on a Medicare for All platform. He intends to give free healthcare to every American. The effort is laudable and realistic, but he needs to come up with a solution to contain costs. Deep learning is likely to play an essential role in keeping costs in check. Deep Learning is Necessary to Create a Sustainable Medicare for All System.
Nutanix
MARCH 16, 2020
As Coronavirus continues to spread, we want to take a moment to inform our community about the steps Nutanix is taking to ensure the well-being of our employees while continuing to serve our customers and partners.
Nutanix
MARCH 16, 2020
As Coronavirus continues to spread, we want to take a moment to inform our community about the steps Nutanix is taking to ensure the well-being of our employees while continuing to serve our customers and partners.
Nutanix
MARCH 16, 2020
Breaking cluster boundaries for seamless data management.
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.
Nutanix
MARCH 16, 2020
Breaking cluster boundaries for seamless data management.
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