In the US alone, 73% of smart phone users take pictures, according to Pew Research. It is therefore no surprise that people involved in neural networks (NN) consider photo management to be the “killer app” for NN’s on mobile devices. Imagination Technologies is working to deliver the potential. A recent webinar they held centered around their new PowerVR Neural Network Accelerators (NNA) and the one example used on the presentation was about vision, identifying images taken on phones.
Note: While my column will primarily focus on machine learning, the overlap with data analytics is strong, and a program focus on business intelligence (BI) will provide people also able to implement ML algorithms for a business audience. A constant refrain in business is that too many university graduates have a foundation in theory but not in practice. Within the BI community, there’s also a regular expression of the need for far more people who understand data analysis.
Remember when a software sales rep would put together a million-dollar quote for a prospective customer and spend...months working to find an internal champion, then convince multiple groups that such a large upfront expense was worth making? Those days aren't entirely gone, of course, but things are changing -- away from conventional licensing and toward software subscriptions.
Muck Rack makes it simple to find people, tweets, or articles that mention any name, keyword, company, hashtag etc. We've compiled this guide to help you make the most of your search.
Selecting a term
Start searching tweets, articles from media outlets, articles mentioned in tweets, journalists'
names, titles and bios with some suggested searches:
Companies or Topics (e.g. iPhone, Microsoft)
Phrases (e.g. "cloud computing") — use quotes to keep the terms together
Twitter handles (e.g. @username) — returns those who have mentioned or replied to
Names (e.g. "David Pogue")
Hashtags (e.g. #sxsw, #london2012)
Bio details (e.g. vegan, Olympics, father)
Muck Rack's Advanced Search allows for many boolean operators.
Find results that mention multiple specified terms, use AND or
+. For example, ensure each result contains both Elon Musk and Mark Zuckerberg by
searching Musk AND Zuckerberg or Musk + Zuckerberg.
Use the operators OR or , to broaden your search when you'd like either of
multiple terms to appear in results. (This is the default behavior of our search when no operators
are used). For example, results will contain either cake or cookie by searching cake OR cookie or cake,cookie
Use NOT or - to subtract results from your search. For
example, searching Disney will yield results about the Walt Disney Company as well as Walt Disney
World Resort. To exclude mentions of Disney World, search for Disney -World or Disney
When using one of these operators with a phrase, enclose it in quotation marks. For example, you can
find results about smartphones excluding Apple's iPhone 4S by searching smartphone -"iPhone
Exact case matching or punctuation
If you're searching for a brand name or keyword that relies on specific punctuation marks or capitalization, you can
find results that match your exact query by adding matchcase: before the keyword you're searching for, like matchcase:E*TRADE .
Use parentheses to separate multiple
boolean phrases. For example, to find journalists talking about having fun in Disney World or
Disneyland, search for ("disney world" OR disneyland) AND fun.
An asterisk can be used to search for any variation of a root word truncated by the asterisk. For example, searching for admin* will return results for administrator, administration, administer, administered, etc.
A near operator is an AND operator where you can control the distance between the words. You can vary the distance the near operation uses by adding a forward slash and number (between 0-99) such as strawberries NEAR/10 "whipped cream", which means the strawberries must exist within 10 words of "whipped cream".