Sat.Mar 23, 2019 - Fri.Mar 29, 2019

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16 OpenCV Functions to Start your Computer Vision journey (with Python code)

Analytics Vidhya

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.

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Why There Are IT Outages – And What to Do About Them?

Dataconomy

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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How to Achieve Consistent Quality in AI

DataRobot

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.

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How Financial Institutions Are Becoming Champions Of Big Data

Smart Data Collective

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.

Big Data 101
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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Nuts and Bolts of Reinforcement Learning: Introduction to Temporal Difference (TD) Learning

Analytics Vidhya

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.

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A Simple Explanation of Gini Impurity

Victor Zhou

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.

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Your Guide To Understanding Various Types of Data Masking

Smart Data Collective

“Google Search Reveals Community College Student’s Social Security Number.” While this may seem like a headline you would find on sites like The Onion , this is something that actually happened. This situation occurred when staff members at a community college started to test a new type of online application that utilized files full of sensitive and unaltered data on a server that was not secure.

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Optimizing the IoT Infrastructure for Enhanced Big Data Performance

Smart Data Collective

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.

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Why Data Analytics In The Insurance Industry Is A Major Game Changer

Smart Data Collective

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.

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Big Data is Transforming the Future of WordPress Hosting

Smart Data Collective

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.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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7 Ways Big Data Is Essential For Life Insurance Settlements

Smart Data Collective

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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Four Data-Driven Tactics For A Successful eCommerce Website

Smart Data Collective

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.

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Hadoop Solutions Make Frugal Living and Extreme Couponing Easier than Ever

Smart Data Collective

. 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.

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Sponsoring the 2019 Queen City Hackathon: Data Science with a Community Impact

DataRobot

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.

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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Predictive Analytics Solutions Bolster Crypto Trading Security in 2019

Smart Data Collective

. 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.

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My First 50 Days of Blogging

Victor Zhou

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.

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