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    <title>Digital Optimist - Episodes Tagged with “Ml”</title>
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    <pubDate>Tue, 24 Aug 2021 17:00:00 -0400</pubDate>
    <description>It is seductive to fear the future because we are biologically programmed to look for danger. This natural impulse is enabled by popular media.  However, this podcast is meant to awaken a sense of hope for a bright Humalogy™ future. With a more expansive view of the facts, history has proven that humanity constantly progresses. 
Technology is increasing the speed at which we experience this beneficial progression. 
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    <itunes:subtitle>Scott Klososky discusses the possibilities and opportunities of embracing Digital Transformation.</itunes:subtitle>
    <itunes:author>Scott Klososky</itunes:author>
    <itunes:summary>It is seductive to fear the future because we are biologically programmed to look for danger. This natural impulse is enabled by popular media.  However, this podcast is meant to awaken a sense of hope for a bright Humalogy™ future. With a more expansive view of the facts, history has proven that humanity constantly progresses. 
Technology is increasing the speed at which we experience this beneficial progression. 
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      <itunes:name>Scott Klososky</itunes:name>
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  <title>Episode 17: Machine Learning - Realtime Predictive Analytics </title>
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  <pubDate>Tue, 24 Aug 2021 17:00:00 -0400</pubDate>
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  <itunes:subtitle>The machines are learning. The latest in predictive analytics is called real-time predictive analytics, which uses data from sensors to make predictions about the present and future of an event. In this episode, host Scott Klososky explains why this technology has huge implications for industries like transportation, healthcare, and manufacturing that rely heavily on forecasting as a part of their workflows today.</itunes:subtitle>
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  <description>The machines are learning. The latest in predictive analytics is called real-time predictive analytics, which uses data from sensors to make predictions about the present and future of an event. In this episode, host Scott Klososky explains why this technology has huge implications for industries like transportation, healthcare, and manufacturing that rely heavily on forecasting as a part of their workflows today. 
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    <![CDATA[<p>The machines are learning. The latest in predictive analytics is called real-time predictive analytics, which uses data from sensors to make predictions about the present and future of an event. In this episode, host Scott Klososky explains why this technology has huge implications for industries like transportation, healthcare, and manufacturing that rely heavily on forecasting as a part of their workflows today.</p>]]>
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    <![CDATA[<p>The machines are learning. The latest in predictive analytics is called real-time predictive analytics, which uses data from sensors to make predictions about the present and future of an event. In this episode, host Scott Klososky explains why this technology has huge implications for industries like transportation, healthcare, and manufacturing that rely heavily on forecasting as a part of their workflows today.</p>]]>
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  <title>Episode 16: Machine Learning - How We Train An Artificial Intelligence </title>
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  <pubDate>Mon, 02 Aug 2021 22:00:00 -0400</pubDate>
  <author>Scott Klososky</author>
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  <itunes:subtitle>We're in the midst of a technological revolution. The machines are getting smarter and more powerful every day, but how do we train them? Machine Learning enables a computer to learn without being explicitly programmed or supervised on every step, meaning that they can identify patterns on their own without needing a human programmer's input. In this episode, host Scott Klososky explores  what machine learning means for our future as humans, and how it is impacting us already. </itunes:subtitle>
  <itunes:duration>38:21</itunes:duration>
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    <![CDATA[<p>We&#39;re in the midst of a technological revolution. The machines are getting smarter and more powerful every day, but how do we train them? Machine Learning enables a computer to learn without being explicitly programmed or supervised on every step, meaning that they can identify patterns on their own without needing a human programmer&#39;s input. In this episode, host Scott Klososky explores  what machine learning means for our future as humans, and how it is impacting us already. </p>]]>
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    <![CDATA[<p>We&#39;re in the midst of a technological revolution. The machines are getting smarter and more powerful every day, but how do we train them? Machine Learning enables a computer to learn without being explicitly programmed or supervised on every step, meaning that they can identify patterns on their own without needing a human programmer&#39;s input. In this episode, host Scott Klososky explores  what machine learning means for our future as humans, and how it is impacting us already. </p>]]>
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  <title>Episode 12: Machine Intelligence - Introduction</title>
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  <pubDate>Fri, 29 Jan 2021 16:30:00 -0500</pubDate>
  <author>Scott Klososky</author>
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  <itunes:subtitle>In this first episode in the Machine Intelligence series of Digital Optimist, Host Scott Klososky defines machine intelligence and the terminologies surrounding it, as well as discusses the potential positive impacts of this technology for our society. </itunes:subtitle>
  <itunes:duration>32:43</itunes:duration>
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