Analytics Vidhya
MARCH 27, 2019
Introduction Q-learning became a household name in data science when DeepMind came up with an algorithm that reached superhuman levels on ATARI games. It’s. The post Nuts and Bolts of Reinforcement Learning: Introduction to Temporal Difference (TD) Learning appeared first on Analytics Vidhya.
Dataconomy
MARCH 28, 2019
What do fat fingers, power failures, and Godzilla have in common? Answer: They have all been responsible for IT outages that, even if they aren’t caused by Godzilla, can cause monster-sized budget holes for companies. How monster-sized? A Rand Organization report says that according to 98% of organizations, IT outages. The post Why There Are IT Outages – And What to Do About Them?
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Smart Data Collective
MARCH 28, 2019
If someone asked you which industry is the most innovative , you probably wouldn’t say the financial industry. In fact, that would probably be the last industry on your list. Nonetheless, the financial industry is using big data more than ever. The success of both Fintech companies and traditional banks will hinge on their ability to leverage big data to its fullest potential.
DataRobot
MARCH 29, 2019
AI has tremendous potential for benefiting humanity in every area of how we live and work. While most people realize this fact, their hopes for AI also come with a note of caution. A recent survey reported that 77% of Americans expressed that AI would have a “very positive” or “mostly positive” impact on how people work and live in the next 10 years.
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
MARCH 24, 2019
Introduction Computer vision is among the hottest fields in any industry right now. It is thriving thanks to the rapid advances in technology and. The post 16 OpenCV Functions to Start your Computer Vision journey (with Python code) appeared first on Analytics Vidhya.
Victor Zhou
MARCH 29, 2019
If you look at the documentation for the DecisionTreeClassifier class in scikit-learn , you’ll see something like this for the criterion parameter: The RandomForestClassifier documentation says the same thing. Both mention that the default criterion is “gini” for the Gini Impurity. What is that?! TLDR: Read the Recap. Decision Trees ? Training a decision tree consists of iteratively splitting the current data into two branches.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
DataRobot
MARCH 25, 2019
Data scientist time is a precious, expensive commodity. Do you truly understand what your data science talent works on all day? Are they spending way too much time researching data science theory, coding the same data preparation tasks over and over again, and maintaining scripts for model factories? Take a serious look at what your data scientists actually do.
Smart Data Collective
MARCH 28, 2019
The Internet of Things is one of the most groundbreaking trends affecting consumers and businesses all over the world. According to a report by Gartner, the economic impact of all products connected to the IoT will exceed $300 billion by next year. A number of factors are contributing to the proliferation of the IoT. One of the most influential changes is the increasing capacity of big data.
Smart Data Collective
MARCH 25, 2019
Technology has had a profound impact on the insurance industry. Insurers are relying heavily on big data as the number of insurance policyholders also grow. Big data analytics can help solve a lot of data issues that insurance companies face, but the process is a bit daunting. It can be challenging for insurance companies who have not adjusted to this just yet.
Smart Data Collective
MARCH 26, 2019
Forbes contributor Kalev Leetaru recently wrote a fantastic article about the intersection of big data and website hosting. Leetaru notes that big data and cloud technology have led to the evolution of web hosting services. Cloud technology is changing the logistics of many traditional hosting plans. WordPress hosting is a prime example. How Big Data is Changing the Future of WordPress.
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
MARCH 24, 2019
To start and run an e-commerce business is, by no means, an easy feat. When you start an online store , to ensure it actually succeeds and makes a name for itself is another challenge altogether. In a world as competitive as today, where businesses aren’t just competing at a local level, but at a global scale, too, competition is as fierce as ever. And this competition is especially evident in the world of e-commerce.
Smart Data Collective
MARCH 27, 2019
. Frugal living has become a major fad since the onset of the recession in 2008. In particular, extreme couponing has become a hobby that is practiced by tens of thousands of people all over the United States. Consumers saved $3.1 billion with coupons in 2017. However, in the quest to save money through couponing, many people don’t get the value they are looking for.
Smart Data Collective
MARCH 29, 2019
. The market for cryptocurrencies has opened the door for a number of new opportunities and challenges. One of the biggest difficulties that crypto traders, brokers and entrepreneurs face is a rising number of security risks. In 2019, crypto scams where the most common type of online security breaches. CIO reports that CryptoLocker was one of the worst ransomware attacks of 2019.
DataRobot
MARCH 26, 2019
DataRobot was proud to be a sponsor of the 2019 Queen City Hackathon in Charlotte, North Carolina. Although DataRobot did not officially compete in the hackathon, we had the opportunity to do a test-run of the DataRobot platform against the dataset used in the hackathon.
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
Victor Zhou
MARCH 25, 2019
Why? I started this blog at the beginning of last month (February 2019) because I wanted to become a better writer. I felt like I had some interesting/useful things to say. I’d sold both of my main side projects and wanted a new challenge. I didn’t like the old victorzhou.com and had been itching to rewrite it for a while. I wanted to learn more about and get firsthand experience with SEO.
Smart Data Collective
MARCH 28, 2019
The life insurance industry will soon undergo a dramatic transformation in response to advances in big data. A growing number of digital startups are starting to emphasize the impact of big data in this antiquated business. A number of insurance executives have been reluctant to embrace the changes of big data. One study found that 74% of respondents felt that the insurance industry had done an inadequate job addressing the need for big data.
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