BRB, checking my CMS's version number ...
https://www.surveymonkey.com/r/RandsAgencySurvey <---- by giving your input, you'll help create aggregated, anonymous data that can be used by all agencies and consultants to benchmark themselves and see how their practices and numbers compare.
Would also love help spreading if you know anyone who should fill this out!
From: linda morris <email@example.com>
Date: 4 November 2015 at 18:25
We are one of the great company in India having the SEO/PPC/Web designing profile, serving in US Uk Aus & CAN, but in your country it seems so hard for us to close the leads,
As we have a vaste email marketing team who get good no. of leads from country for SEO/Link Building & Web designing, but it seems your people are not interested with Indians,
That I can observe, So If you can purchase leads to close for SEO, then please reply,
Thanks & Regards,
Email Marketing Solutions
"You are in one of the most competitive verticals in legal. It's even worse if the city is large. 100k population tuff, 250k, 5 times harder, 500k ug.
It's not just the other lawyers that you are up against. You are up against the firm's that they hire like Nifty Law. They have 10 years experience on you.
I am not trying to discourage you. But the biggest mistake I made early in my career was underestimating the budget required to compete on the first page. Do not over promise! He most likely has 12 to 24 months of work to start competing."
I'm very excited to announce the open source release of the TensorFlow machine learning library that I and many others at Google have been building.
This blog post gives an overview:
The web site has a number of tutorials and documentation about the system:
The source is on GitHub:
You might also be interested in the whitepaper we've prepared that describes TensorFlow in more detail:
We'd love to hear what people think.
What happened? Back in 2005, the Bureau of Justice Statistics (a branch of the DOJ) did a study on recidivism, and found out that the rate is tremendously high: 68% of state prisoners end up back behind bars within three years of release. Once a criminal, always a criminal, they concluded -- and people have been shaping policy to match.
But a team read through it carefully, and it turns out that the BJS made a basic, bonehead, mistake in their statistical analysis. They thought they were measuring whether people who go to prison will reoffend; what they actually measured was that most people in prison, on any given day, are repeat offenders.
Which makes sense, because repeat offenders spend a lot more time in prison than one-time offenders.
These are not the same thing. At all. It turns out that if you do the analysis right, only 30% or so of prisoners will ever re-offend, and only 11% will do so multiple times. In fact, this "once a criminal, always a criminal" rule appears to be completely false -- unless, that is, you structure policies so that anyone with a criminal conviction is treated like a permanent criminal, and so not allowed to (say) get virtually any job other than "criminal." In which case, you will in fact end up with lots of criminals.
In the post linked below, gives some of the explanation of what went wrong in the study. You can read more at the linked Slate article (http://www.slate.com/articles/news_and_politics/crime/2015/10/why_do_so_many_prisoners_end_up_back_in_prison_a_new_study_says_maybe_they.html), and even more with the paper that actually found the mistake. (http://cad.sagepub.com/content/early/2014/09/26/0011128714549655.abstract)
The most important lesson in all of this is that it's easy to make bonehead mistakes in statistics. If the statistics matter -- if you're going to use them to prescribe drugs or set public policy or something like that -- it's very important to have people check your work, repeatedly, and ask the right questions. The most important question is "have you actually measured what you think you measured," because there are all sorts of ways to screw that up.
There's also a great new book on that subject: Alex Reinhart's Statistics Done Wrong. (http://www.statisticsdonewrong.com/) Please, if you do statistics in your daily life, read it.
- University of Michigan2001
- Wayne State University Law School2005
- AttorneySyncOwner, 2008 - presentCo-Founder
- EPL DigitalDirector, 2013 - presentHelping businesses grow revenue and decrease costs with internet marketing (SEO, SEM, Analytics).
(312) 207 0133
208 S. Jefferson St. #203 Chicago, IL 60661
Introducing Search Response and Airings Data in TV Attribution - Analyti...
The following is a cross post from Adometry by Google, a Marketing Analytics and Attribution product. Mass media drives people to interact w
The 25 Hottest Skills That Got People Hired in 2014
Believe it or not, 2014 is almost over and 2015 is right around the corner. With a new year comes new opportunities, and around this time we
How to Not Suck at Local SEO - MN Search Summit 2014
What really matters in local search? Which activities are going to have a high return on investment, and which activities are just a waste o
Local Citation Services Compared - MozLocal vs Yext vs UBL vs BrightLoca...
Read our detailed comparison of MozLocal vs Yext vs UBL vs BrightLocal vs.Whitespark and see which citation building service is right for yo
Official Google Webmaster Central Blog: Understanding web pages better