BigData News Saturday, March 10 Data science, Favorite data science, Control.  video equipment & more…


BigData News TLDR / Table of Contents

[/vc_column_text][/vc_column][/vc_row][vc_row el_id=”Favorite-Data-Science-and-Machine-Learning-Blogs-Podcasts-and-Newsletters”][vc_column width=”1/2″][vc_separator][vc_column_text]

Favorite Data Science and Machine Learning Blogs, Podcasts and Newsletters

[/vc_column_text][vc_column_text el_class=”topfeed-summary-list”]

  • Over 16,000 data professionals were asked to indicate their favorite data science blogs, podcasts and newsletters.
  • In an earlier analysis of different platforms and resources for learning data science, I found that around 29% of data professionals rely on blogs, 7% rely on podcasts and 7% rely on newsletters.
  • In this post, we will identify data professionals favorite blogs, podcasts and newsletters.
  • I used data from theKaggle 2017 State of Data Science and Machine Learningsurvey of over 16,000 data professionals (survey data collected in August 2017).
  • The top 10 favorite data science blogs, podcasts and newsletters of data professionals are: – – There were many resources available to learn about data science, machine learning and AI.

[/vc_column_text][vc_column_text el_class=”topfeed-tags”]Tags: data science, favorite data science, data professionals, data science blogs, machine learning[/vc_column_text][/vc_column][vc_column width=”1/2″][vc_separator][vc_column_text el_class=”topfeed-tweet”]

[/vc_column_text][vc_column_text el_class=”topfeed-embedly”]Favorite Data Science and Machine Learning Blogs, Podcasts and Newsletters |[/vc_column_text][/vc_column][/vc_row][vc_row el_id=”Key-Questions-You-Should-Ask-Your-Industrial-Video-Provider”][vc_column width=”1/2″][vc_separator][vc_column_text]

Key Questions You Should Ask Your Industrial Video Provider

[/vc_column_text][vc_column_text el_class=”topfeed-summary-list”]

  • Frequently, video solutions intended for industrial use are purchased by the organizations security department.
  • Treating the video system as part of the SCADA system rather than the security system helps to clearly delineate videos use, purpose, form factor, and control.
  • Examples of where these types of systems are now in use include: – – This article was written byPaul Vanslette, Chief Technology Officer atIndustrial Video & Control.
  • Paul is responsible for planning and leading the initiative to design, develop, and implement industrial video software solutions for manufacturing, SCADA, and security applications that provide a sustained competitive advantage.
  • IVC delivers a broad range of quality IP-based video systems to industrial, commercial and military applications.

[/vc_column_text][vc_column_text el_class=”topfeed-tags”]Tags: control.  Video equipment, video solution vendors, industrial video software, IP-based video systems, video management software[/vc_column_text][/vc_column][vc_column width=”1/2″][vc_separator][vc_column_text el_class=”topfeed-tweet”]

[/vc_column_text][vc_column_text el_class=”topfeed-embedly”]Key Questions You Should Ask Your Industrial Video Provider[/vc_column_text][/vc_column][/vc_row][vc_row el_id=”Microsoft-s-Cortana-speaker-will-go-the-way-of-the-Zune”][vc_column width=”1/2″][vc_separator][vc_column_text]

Microsoft’s Cortana speaker will go the way of the Zune

[/vc_column_text][vc_column_text el_class=”topfeed-summary-list”]

    [/vc_column_text][vc_column_text el_class=”topfeed-tags”]Tags: Zune | Computerworld, Original URL, Cortana speaker, , [/vc_column_text][/vc_column][vc_column width=”1/2″][vc_separator][vc_column_text el_class=”topfeed-tweet”]

    [/vc_column_text][vc_column_text el_class=”topfeed-embedly”]Microsoft’s Cortana speaker will go the way of the Zune | Computerworld –[/vc_column_text][/vc_column][/vc_row]

    Top Big Data Courses

    The Ultimate Hands-On Hadoop - Tame your Big Data! (31,889 students enrolled)

    By Sundog Education by Frank Kane
    • Design distributed systems that manage "big data" using Hadoop and related technologies.
    • Use HDFS and MapReduce for storing and analyzing data at scale.
    • Use Pig and Spark to create scripts to process data on a Hadoop cluster in more complex ways.
    • Analyze relational data using Hive and MySQL
    • Analyze non-relational data using HBase, Cassandra, and MongoDB
    • Query data interactively with Drill, Phoenix, and Presto
    • Choose an appropriate data storage technology for your application
    • Understand how Hadoop clusters are managed by YARN, Tez, Mesos, Zookeeper, Zeppelin, Hue, and Oozie.
    • Publish data to your Hadoop cluster using Kafka, Sqoop, and Flume
    • Consume streaming data using Spark Streaming, Flink, and Storm

    Learn more.

    Taming Big Data with MapReduce and Hadoop - Hands On! (13,894 students enrolled)

    By Sundog Education by Frank Kane
    • Understand how MapReduce can be used to analyze big data sets
    • Write your own MapReduce jobs using Python and MRJob
    • Run MapReduce jobs on Hadoop clusters using Amazon Elastic MapReduce
    • Chain MapReduce jobs together to analyze more complex problems
    • Analyze social network data using MapReduce
    • Analyze movie ratings data using MapReduce and produce movie recommendations with it.
    • Understand other Hadoop-based technologies, including Hive, Pig, and Spark
    • Understand what Hadoop is for, and how it works

    Learn more.