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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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.
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.
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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?
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.
Smart Data Collective
MARCH 27, 2019
“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.
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 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.
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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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.
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.
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.
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.
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.
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.
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.
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