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  • Putting the science back in data science – O’Reilly Media

    Putting the science back in data science – O’Reilly Media

    One of key tenets of science (physics, chemistry, etc.), or at least the theoretical ideal of science, is reproducibility. Truly “scientific” results should not be accepted by the community unless they can be clearly reproduced and have undergone a peer review process. Of course, things get messy in practice for both academic scientists and data […]

  • #389) A Simpler Take on Lying: Narrative Dynamics | The Benshi

    #389) A Simpler Take on Lying: Narrative Dynamics | The Benshi

    LIAR, LIAR, WORDS ON FIRELast fall Noah Zandan, who is big on “quantified communication” posted a fun TED ED video about ways to spot liars using “communications theory.” He opens the video with a simple ABT about how lots of ways have been developed over the ages to detecting lying AND they all work to […]

  • In a post-truth world, data science could provide an essential public service

    In a post-truth world, data science could provide an essential public service

    “There is great potential for us to mobilise the power of data to help us make better decisions. However, the technology that has allowed us all to be so wonderfully connected has also allowed us each to live in our own world, separated from others. In our online lives, we risk connecting only with those […]

  • The Data Science That Turned the World Upside Down

    The Data Science That Turned the World Upside Down

    How dangerous is big data? Anyone who has not spent the last five years living on another planet will be familiar with the term Big Data. Big Data means, in essence, that everything we do, both on and offline, leaves digital traces. Every purchase we make with our cards, every search we type into Google, […]

  • 10 Principles For Design In The Age Of AI | Co.Design | business + design

    10 Principles For Design In The Age Of AI | Co.Design | business + design

    “I think in general you don’t want to replace behavior or human-led functionality,” Béhar says. Instead, AI can remove some of the pain points of life by reducing complexity and freeing up people’s cognitive space so they can focus on more important endeavors. But ultimately designers must act as a bulwark against irresponsible, unethical use […]

  • Insight Data Science Fellows Program

    Insight Data Science Fellows Program

    An intensive 7-week post-doctoral training fellowship bridging the gap between academia & data science. Join top companies working on data science. Anyone who gets through this program will qualify immediately from an interview for a job with Science4Data.  Contact us if you get accepted. Source: Insight Data Science Fellows Program

  • Science to Data Science

    Science to Data Science

    you work on real-life data science problems with a company from a range from exciting start-ups, SMEs, and charities, to large multi-national companies like KPMG, Barclays and M&S. We will immerse you into data science from day one; making sure you will learn more in a shorter time than you have ever done before – […]

  • The United States of Artificial Intelligence

    The United States of Artificial Intelligence

    Deals to AI startups reached a record high last year, from 160 deals in 2012 to 658 in 2016. Although non-US deal share has been increasing over the time period, well over a majority of deals, around 70%, went to startups in the US in the last 5 years. Source: The United States of Artificial […]

  • Genetic algorithms for feature selection in Data Analytics | Neural Designer

    Genetic algorithms for feature selection in Data Analytics | Neural Designer

    Feature selection is the process of finding the most relevant variables for a predictive model. These techniques can be used to identify and remove unneeded, irrelevant and redundant features that do not contribute or decrease the accuracy of the predictive model. Mathematically, feature selection is formulated as a combinatorial optimization problem. Here the function to […]

  • How Artificial Intelligence Will Redefine Management

    How Artificial Intelligence Will Redefine Management

    How can managers — from the front lines to the C-suite — thrive in the age of AI? To find out, we surveyed 1,770 managers from 14 countries and interviewed 37 executives in charge of digital transformation at their organizations. Using this data, we identified five practices that successful managers will need to master. Source: How Artificial […]

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