THEMLBOOK.ORG: Keyword Density Checker

Total words: 1761 | 2-word phrases: 456 | 3-word phrases: 514 | 4-word phrases: 534

PAGE INFO

Title	Try to keep the title under 60 characters (40 characters) Introduction - The Machine Learning Book
Description	Try to keep the meta description between 50 - 160 characters (81 characters) Who is this for, what is deep learning, and motivation for learning these skills.
Keywords	Meta keywords are not recommended anymore (0 characters)
H1	H1 tag on the page (12 characters) Introduction

#	Keyword	Frequency	Density
1	motivation for learning	3	0.58%
2	is deep learning	3	0.58%
3	what is deep	3	0.58%
4	is deep learning?	3	0.58%
5	image and speech	2	0.39%
6	the forefront of	2	0.39%
7	for learning these	2	0.39%
8	learning these skills	2	0.39%
9	natural language processing	2	0.39%
10	learn deep learning	2	0.39%
11	introduction to python	2	0.39%
12	and deep learning	2	0.39%
13	python and deep	2	0.39%
14	this book is	2	0.39%
15	deep learning from	2	0.39%
16	deep learning is	2	0.39%
17	at the forefront	2	0.39%
18	sections of this	2	0.39%
19	book will cover	2	0.39%
20	this book will	2	0.39%
21	these skills you	2	0.39%
22	recognition to natural	2	0.39%
23	what this book	2	0.39%
24	of machine learning	2	0.39%
25	from image and	2	0.39%
26	deployment learn the	1	0.19%
27	learn the practical	1	0.19%
28	the practical aspects	1	0.19%
29	practical aspects of	1	0.19%
30	accessible to the	1	0.19%

#	Keyword	Frequency	Density
1	what is deep learning?	3	0.56%
2	what is deep learning	3	0.56%
3	at the forefront of	2	0.37%
4	python and deep learning	2	0.37%
5	for learning these skills	2	0.37%
6	learn deep learning from	2	0.37%
7	from image and speech	2	0.37%
8	motivation for learning these	2	0.37%
9	what this book will	2	0.37%
10	this book will cover	2	0.37%
11	pytorch explore the powerful	1	0.19%
12	learning about tensors neural	1	0.19%
13	the basics of building	1	0.19%
14	and the basics of	1	0.19%
15	networks and the basics	1	0.19%
16	neural networks and the	1	0.19%
17	tensors neural networks and	1	0.19%
18	about tensors neural networks	1	0.19%
19	language understanding by acquiring	1	0.19%
20	acquiring these skills you	1	0.19%
21	explore the powerful pytorch	1	0.19%
22	understanding by acquiring these	1	0.19%
23	by acquiring these skills	1	0.19%
24	the powerful pytorch library	1	0.19%
25	introduction to pytorch explore	1	0.19%
26	to pytorch explore the	1	0.19%
27	challenges from image and	1	0.19%
28	the machine learning book	1	0.19%
29	realworld challenges from image	1	0.19%
30	convolutional neural networks cnns	1	0.19%
31	realworld problems deep learning	1	0.19%
32	rnns and transfer learning	1	0.19%
33	problems deep learning allows	1	0.19%
34	deep learning allows you	1	0.19%
35	learning allows you to	1	0.19%
36	cnns recurrent neural networks	1	0.19%
37	networks cnns recurrent neural	1	0.19%
38	neural networks cnns recurrent	1	0.19%
39	of convolutional neural networks	1	0.19%
40	plays in this field	1	0.19%

#	URL	Whois	Check
1	https://github.com/themlbook/docs	Whois	github.com
2	https://github.com/themlbook/docs	Whois	github.com
3	https://mintlify.com/community	Whois	mintlify.com
4	https://mintlify.com/blog	Whois	mintlify.com
5	https://twitter.com/mintlify	Whois	twitter.com
6	https://github.com/mintlify	Whois	github.com
7	https://www.linkedin.com/company/mintsearch	Whois	linkedin.com