Analytics Vidhya
JUNE 24, 2019
Overview Which programming language should you pick for data science? Here’s a list of 6 powerful ones that are not Python or R These. The post 6 Useful Programming Languages for Data Science You Should Learn (that are not R and Python) appeared first on Analytics Vidhya.
Dataconomy
JUNE 28, 2019
Fintech is opening floodgates of opportunity for ambitious startups that previously had no hopes of overcoming barriers to entry in the finance field. With the desire to innovate and succeed, however, gutsy startups are now promoting financial literacy and reaching previously underserved groups with brand-new retail banking and investment services. The post Here is a look at where Fintech is leading us and Why appeared first on Dataconomy.
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Smart Data Collective
JUNE 26, 2019
There’s a growing number of tools that you can use to analyze data for a business. But you may not be overly confident in the results if you don’t take the data’s blind spots into account. There’s no single way to do that, but we’ll look at some possibilities here. The first thing to keep in mind is that a blind spot generally represents an “unknown unknown.” In other words, it’s a factor you didn’t take into account because you didn’t
DataRobot
JUNE 28, 2019
It’s been a fun year in the world of professional tennis. From the men’s tour, we’ve witnessed Novak Djokovik winning in Australia, Rafael Nadal winning in France, and Roger Federer rounding out the continued domination of the Big Three. With the emergence of a new generation on the women’s tour, it’s been exciting to watch Naomi Osaka win in Australia and Ashleigh Barty win in France.
Speaker: Tamara Fingerlin, Developer Advocate
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
Analytics Vidhya
JUNE 26, 2019
Overview What does a data scientist do on a day-to-day basis? A popular and must-know question We analyze this question from a data scientist’s. The post Top 5 Must-Read Answers – What does a Data Scientist do on a Daily Basis? appeared first on Analytics Vidhya.
Dataconomy
JUNE 28, 2019
What is the future of AI in Europe and what does it take to build an AI solution that is attractive to investors and customers at the same time? How do we reimagine the battle of “AI vs Human Creativity” in Europe? Is there any company that is not using. The post Where does Europe stand in the development of AI? appeared first on Dataconomy.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
DataRobot
JUNE 25, 2019
Making predictions has been a part of the banking industry since the world was flat. These days, you would be hard-pressed to identify a line of business or function in a bank that doesn’t have multiple needs for predictive analytics.
Analytics Vidhya
JUNE 26, 2019
DataHack Summit 2019 Bringing Together Futurists to Achieve Super Intelligence DataHack Summit 2018 was a grand success with more than 1,000 attendees from various. The post Announcing DataHack Summit 2019 – The Biggest Artificial Intelligence and Machine Learning Conference Yet appeared first on Analytics Vidhya.
DataCentric podcast
JUNE 24, 2019
During this wide-ranging half-hour discussion recorded live at the 2019 HPE Discover in Las Vegas, hosts Steve McDowell and Matt Kimball talk to HPE's Director of Server Software and Product Security, Bob Moore, about the insidious attack vectors that are emerging. This covers everything from firmware attacks to supply chain interceptions, along with the growth of mafia-like organizations that are driving attacks at an unprecedented scale.
Smart Data Collective
JUNE 23, 2019
Do you want to create Instagram stories like a pro, but don’t know how to go about it? You have come to the right page because we are going to discuss how you create the storyboard for Instagram stories. The good news is that big data has made it easier than ever to create powerful Instagram content. How Big Data is Making Instagram Stories More Effective.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
Smart Data Collective
JUNE 26, 2019
The insurance industry is based on the idea of managing risk. To determine this risk, the industry must consult data and see what trends are evident to draft their risk profiles. The journal Risk Management and Insurance Review mentions that historically, in the latter half of the twentieth century, the analysis of trends was the primary driver in determining risk in the insurance business.
Smart Data Collective
JUNE 25, 2019
Technological development is only speeding up. Virtual reality and high-tech solutions are changing reality in its numerous aspects. Today, we have smart homes with internet-connected kettles and robotic vacuum cleaners, job interviews are conducted by AI, and countless gadgets are meant to make our lives more comfortable and cozy. Very soon, humans may even be able to communicate without words , converting thoughts into electric signals.
Smart Data Collective
JUNE 25, 2019
Big data is making it easier for marketers to make the most of their campaigns. Facebook, Google and other major companies collect massive troves of data , which are invaluable for advertisers. Unfortunately, this data is useless without a well-thought out strategy. You need to know how to apply your data before you can get any value from it. Leveraging Data for an Optimal Audience Targeting Campaign.
Smart Data Collective
JUNE 25, 2019
If you haven’t been paying attention over the last several years, big data is the reigning web 2.0 business model. In an age of global competition and nearly limitless offerings, your customers demand personalization. If they don’t feel like you are speaking to them directly, and considering their unique needs, they’re likely to take their business elsewhere.
Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri
Smart Data Collective
JUNE 26, 2019
Python is arguably the best programming language for machine learning. However, many aspiring machine learning developers don’t know where to start. They should look into the scikit-learn library, which is one of the best for developing machine learning applications. It is free and relatively easy to install and learn. Why machine learning programmers should be familiar with scikit-learn.
Smart Data Collective
JUNE 26, 2019
Medical care has relied on the education and expertise of doctors. Human error is common and 250,000 people per year die from medical errors. As the third-leading cause of death in the United States, limiting errors is a key focus in the healthcare industry. Big data and predictive analytics will lead to healthcare improvement. But how? Health IT Analytics previously published an excellent paper on some of the best use cases of predictive analytics in healthcare.
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