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Steven Miller

stevenmiller888.github.io

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SEO audit: Content analysis

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Title Steven Miller
Text / HTML ratio 8 %
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Flash Excellent! The website does not have any flash contents.
Keywords cloud array networks keyboard shift neural learning Part left network explain Network Neural Build Mind back key I’m systems Nodejs WiFi
Keywords consistency
Keyword Content Title Description Headings
array 6
networks 5
keyboard 5
shift 4
neural 4
learning 4
Headings
H1 H2 H3 H4 H5 H6
1 0 4 0 0 0
Images We found 0 images on this web page.

SEO Keywords (Single)

Keyword Occurrence Density
array 6 0.30 %
networks 5 0.25 %
keyboard 5 0.25 %
shift 4 0.20 %
neural 4 0.20 %
learning 4 0.20 %
Part 3 0.15 %
left 3 0.15 %
network 3 0.15 %
explain 2 0.10 %
Network 2 0.10 %
Neural 2 0.10 %
Build 2 0.10 %
Mind 2 0.10 %
back 2 0.10 %
key 2 0.10 %
I’m 2 0.10 %
systems 2 0.10 %
Nodejs 2 0.10 %
WiFi 2 0.10 %

SEO Keywords (Two Word)

Keyword Occurrence Density
of the 5 0.25 %
the array 4 0.20 %
from the 3 0.15 %
the left 3 0.15 %
neural networks 3 0.15 %
networks are 3 0.15 %
the keyboard 3 0.15 %
to the 3 0.15 %
How to 3 0.15 %
the front 2 0.10 %
shift key 2 0.10 %
an element 2 0.10 %
left shift 2 0.10 %
Mind How 2 0.10 %
Part One 2 0.10 %
August 2015 2 0.10 %
to Build 2 0.10 %
Build a 2 0.10 %
a Neural 2 0.10 %
Neural Network 2 0.10 %

SEO Keywords (Three Word)

Keyword Occurrence Density Possible Spam
of the array 3 0.15 % No
Neural Network Part 2 0.10 % No
to explain how 2 0.10 % No
side of the 2 0.10 % No
Mind How to 2 0.10 % No
How to Build 2 0.10 % No
to Build a 2 0.10 % No
Build a Neural 2 0.10 % No
a Neural Network 2 0.10 % No
left shift key 2 0.10 % No
I’m going to 2 0.10 % No
the left shift 2 0.10 % No
neural networks are 2 0.10 % No
front of the 2 0.10 % No
the front of 2 0.10 % No
corresponding to the 2 0.10 % No
keyboard corresponding to 2 0.10 % No
the keyboard corresponding 2 0.10 % No
going to explain 2 0.10 % No
of the keyboard 2 0.10 % No

SEO Keywords (Four Word)

Keyword Occurrence Density Possible Spam
the front of the 2 0.10 % No
the left shift key 2 0.10 % No
Mind How to Build 2 0.10 % No
How to Build a 2 0.10 % No
to Build a Neural 2 0.10 % No
Build a Neural Network 2 0.10 % No
a Neural Network Part 2 0.10 % No
going to explain how 2 0.10 % No
I’m going to explain 2 0.10 % No
keyboard corresponding to the 2 0.10 % No
front of the array 2 0.10 % No
the keyboard corresponding to 2 0.10 % No
of the keyboard corresponding 2 0.10 % No
side of the keyboard 2 0.10 % No
an array with the 1 0.05 % No
to remembering them Picture 1 0.05 % No
all the time Here’s 1 0.05 % No
the time Here’s a 1 0.05 % No
time Here’s a little 1 0.05 % No
Here’s a little trick 1 0.05 % No

Stevenmiller888.github.io Spined HTML

Steven Miller Steven Miller Engineering Manager at Segment Twitter GitHub RSS Follow @stevenmiller888 Intruder: How to one-liner Wi-Fi networks in Node.js September 2015 I’m going to explain how to use Intruder to one-liner a Wi-Fi network in Node.js. Then, I’m going to explain how it works at a high-level. Mind: How to Build a Neural Network (Part Two) August 2015 In this second part on learning how to build a neural network, we will swoop into the implementation of a flexible library in JavaScript. In specimen you missed it, here is Part One, which goes over what neural networks are and how they operate. Mind: How to Build a Neural Network (Part One) August 2015 Artificial neural networks are statistical learning models, inspired by biological neural networks (central nervous systems, such as the brain), that are used in machine learning. These networks are represented as systems of interconnected “neurons”, which send messages to each other. The connections within the network can be systematically adjusted based on inputs and outputs, making them platonic for supervised learning. Remembering `.shift()` and `.unshift()` May 2015 If you’re like me, you forget the difference between .shift() and .unshift() all the time. Here’s a little trick to remembering them. Picture a keyboard. Now think of that keyboard as an array, with the left side of the keyboard respective to the front of the array, and the right side of the keyboard respective to the when of the array. Imagine yourself pressing lanugo the left shift key. Think of this as “removing” it from the keyboard (array). Similarly, the shift function removes an element from the front of the array. Now picture yourself removing your finger from the left shift key, and it comes when up. You just “added” (or unshifted) an element to the array.