REBATCH.BE: Keyword Density Checker

Total words: 1512 | 2-word phrases: 405 | 3-word phrases: 438 | 4-word phrases: 442

PAGE INFO

Title	Try to keep the title under 60 characters (53 characters) Rebatch \| Reproducible Machine Learning in production
Description	Try to keep the meta description between 50 - 160 characters (0 characters)
Keywords	Meta keywords are not recommended anymore (0 characters)
H1	No H1 tag on the page (0 characters)

#	Keyword	Frequency	Density
1	and data understanding	2	0.46%
2	business and data	2	0.46%
3	machine learning model	2	0.46%
4	privacy policycookie policy	1	0.23%
5	cpu gpu or	1	0.23%
6	a backup plan	1	0.23%
7	in production providing	1	0.23%
8	evaluation in production	1	0.23%
9	model evaluation in	1	0.23%
10	tpu model evaluation	1	0.23%
11	or tpu model	1	0.23%
12	gpu or tpu	1	0.23%
13	tasks inference hardware	1	0.23%
14	selection cpu gpu	1	0.23%
15	plan for modal	1	0.23%
16	following tasks inference	1	0.23%
17	the following tasks	1	0.23%
18	includes the following	1	0.23%
19	deployment includes the	1	0.23%
20	model deployment includes	1	0.23%
21	will be selected	1	0.23%
22	backup plan for	1	0.23%
23	for modal outages	1	0.23%
24	proper hardware will	1	0.23%
25	data drift or	1	0.23%
26	to decide whether	1	0.23%
27	evaluated to decide	1	0.23%
28	continuously evaluated to	1	0.23%
29	is continuously evaluated	1	0.23%
30	model is continuously	1	0.23%

#	Keyword	Frequency	Density
1	business and data understanding	2	0.45%
2	the art deep learning	1	0.23%
3	models and track model	1	0.23%
4	you requested from us	1	0.23%
5	requested from us from	1	0.23%
6	model performance over different	1	0.23%
7	track model performance over	1	0.23%
8	and track model performance	1	0.23%
9	train complex models and	1	0.23%
10	complex models and track	1	0.23%
11	services you requested from	1	0.23%
12	to train complex models	1	0.23%
13	time to time we	1	0.23%
14	team of data scientists	1	0.23%
15	a team of data	1	0.23%
16	or a team of	1	0.23%
17	data and model versions	1	0.23%
18	and services you requested	1	0.23%
19	data scientist or a	1	0.23%
20	evaluating a successful model	1	0.23%
21	deployed on premise in	1	0.23%
22	to administer your account	1	0.23%
23	the model can be	1	0.23%
24	model the model can	1	0.23%
25	successful model the model	1	0.23%
26	a successful model the	1	0.23%
27	and evaluating a successful	1	0.23%
28	products and services you	1	0.23%
29	training and evaluating a	1	0.23%
30	after training and evaluating	1	0.23%
31	and to provide the	1	0.23%
32	to provide the products	1	0.23%
33	provide the products and	1	0.23%
34	the products and services	1	0.23%
35	scientist or a team	1	0.23%
36	one data scientist or	1	0.23%
37	premise in the cloud	1	0.23%
38	art deep learning solutions	1	0.23%
39	specialization model training and	1	0.23%
40	contact you about our	1	0.23%

#	URL	Whois	Check
1	https://medium.com/rebatch-ml	Whois	medium.com
2	https://www.linkedin.com/company/rebatch-ml	Whois	linkedin.com
3	https://twitter.com/rebatch_ml	Whois	twitter.com