AMITSHARMA.IN: Keyword Density Checker

Total words: 2986 | 2-word phrases: 778 | 3-word phrases: 858 | 4-word phrases: 881

PAGE INFO

Title	Try to keep the title under 60 characters (37 characters) Amit Sharma \| Researcher at Microsoft
Description	Try to keep the meta description between 50 - 160 characters (20 characters) Principal Researcher
Keywords	Meta keywords are not recommended anymore (0 characters)
H1	H1 tag on the page (6 characters) Search

ONE WORD PHRASES 469 Words

#	Keyword	Frequency	Density
1	and	25	5.33%
2	the	22	4.69%
3	causal	22	4.69%
4	amit	19	4.05%
5	sharma	16	3.41%
6	in	16	3.41%
7	for	13	2.77%
8	on	13	2.77%
9	a	13	2.77%
10	inference	13	2.77%

TWO WORD PHRASES 778 Words

#	Keyword	Frequency	Density
1	amit sharma	18	2.31%
2	causal inference	11	1.41%
3	pdf cite	9	1.16%
4	machine learning	8	1.03%
5	in r	6	0.77%
6	and i	4	0.51%
7	on causal	4	0.51%
8	conference on	4	0.51%
9	min read	4	0.51%
10	inference in	3	0.39%
11	of a	3	0.39%
12	computing and	3	0.39%
13	the causal	3	0.39%
14	impact of	3	0.39%
15	duncan j	3	0.39%
16	causal effect	3	0.39%
17	in a	3	0.39%
18	divyat mahajan	2	0.26%
19	causal effects	2	0.26%
20	gave a	2	0.26%

THREE WORD PHRASES 858 Words

#	Keyword	Frequency	Density
1	causal inference in	3	0.35%
2	amit sharmaresearcher at	2	0.23%
3	duncan j watts	2	0.23%
4	for machine learning	2	0.23%
5	amit sharma emre	2	0.23%
6	causal inference for	2	0.23%
7	sharma emre kiciman	2	0.23%
8	j watts january	2	0.23%
9	in computer science	2	0.23%
10	conference on computing	2	0.23%
11	acm conference on	2	0.23%
12	jake m hofman	2	0.23%
13	on causal inference	2	0.23%
14	library for causal	2	0.23%
15	and i gave	2	0.23%
16	sharmaresearcher at microsoft	2	0.23%
17	on computing and	2	0.23%
18	for causal inference	2	0.23%
19	if you are	2	0.23%
20	machine learning systems	2	0.23%
21	the impact of	2	0.23%
22	pdf cite doi	2	0.23%
23	i gave a	2	0.23%
24	emre and i	2	0.23%
25	pdf cite doipress	1	0.12%
26	2019 nature human	1	0.12%
27	nature human behavior	1	0.12%
28	introduction to causal	1	0.12%
29	inference in practice	1	0.12%
30	june 2019 nature	1	0.12%

FOUR WORD PHRASES 881 Words

#	Keyword	Frequency	Density
1	library for causal inference	2	0.23%
2	amit sharma emre kiciman	2	0.23%
3	conference on computing and	2	0.23%
4	amit sharmaresearcher at microsoft	2	0.23%
5	and i gave a	2	0.23%
6	emre and i gave	2	0.23%
7	duncan j watts january	2	0.23%
8	jake m hofman amit	1	0.11%
9	year i attended the	1	0.11%
10	last year i attended	1	0.11%
11	acm conference on fairness	1	0.11%
12	on fairness accountability and	1	0.11%
13	conference on fairness accountability	1	0.11%
14	sharma chenhao tan january	1	0.11%
15	fairness accountability and transparency	1	0.11%
16	explaining machine learning classifiers	1	0.11%
17	machine learning classifiers through	1	0.11%
18	learning classifiers through diverse	1	0.11%
19	chenhao tan january 2020	1	0.11%
20	kothiya mothilal amit sharma	1	0.11%
21	amit sharma chenhao tan	1	0.11%
22	mothilal amit sharma chenhao	1	0.11%
23	compass 2nd conference on	1	0.11%
24	ramaravind kothiya mothilal amit	1	0.11%
25	i attended the inaugural	1	0.11%
26	attended the inaugural acm	1	0.11%
27	the inaugural acm conference	1	0.11%
28	inaugural acm conference on	1	0.11%
29	acm conference on computing	1	0.11%
30	attacks via causal learning	1	0.11%
31	privacy attacks via causal	1	0.11%
32	alleviating privacy attacks via	1	0.11%
33	sustainable societies compass and	1	0.11%
34	2nd conference on computing	1	0.11%
35	from acm compass 2nd	1	0.11%
36	acm compass 2nd conference	1	0.11%
37	1200 am chicago usa	1	0.11%
38	criterion identification of causal	1	0.11%
39	splitdoor criterion identification of	1	0.11%
40	methods pitfalls and best	1	0.11%

EXTERNAL LINKS

#	URL	Whois	Check
1	https://www.microsoft.com/en-us/research/blog/dowhy-evolves-to-independent-pywhy-model-to-help-causal-inference-grow/	Whois	microsoft.com
2	https://github.com/py-why/dowhy	Whois	github.com
3	https://arxiv.org/abs/2011.04216	Whois	arxiv.org
4	http://kiciman.org	Whois	kiciman.org
5	https://note.microsoft.com/MSR-Webinar-DoWhy-Library-Registration-On-Demand.html	Whois	microsoft.com
6	https://humansofai.podbean.com/	Whois	podbean.com
7	https://podcasts.apple.com/au/podcast/emre-kiciman-amit-sharma-causal-inference-microsofts/id1464995550?i=1000487994771	Whois	apple.com
8	https://open.spotify.com/episode/6Rc3rZsAfcNGOQFXop7p0P	Whois	spotify.com
9	https://causalai.net/	Whois	causalai.net
10	https://athey.people.stanford.edu/	Whois	stanford.edu
11	https://cheng-zhang.org/	Whois	cheng-zhang.org
12	https://www.microsoft.com/en-us/research/video/frontiers-in-machine-learning-big-ideas-in-causality-and-machine-learning/	Whois	microsoft.com
13	https://arxiv.org/abs/2006.07500	Whois	arxiv.org
14	https://github.com/microsoft/robustdg	Whois	github.com
15	http://arxiv.org/abs/1905.07697	Whois	arxiv.org
16	https://github.com/Microsoft/DiCE	Whois	github.com
17	https://www.microsoft.com/en-us/research/blog/open-source-library-provides-explanation-for-machine-learning-through-diverse-counterfactuals/	Whois	microsoft.com
18	http://kiciman.org	Whois	kiciman.org
19	http://www.kdd.org/kdd2018/	Whois	kdd.org
20	https://causalinference.gitlab.io/kdd-tutorial	Whois	gitlab.io
21	https://www.microsoft.com/en-us/research/msr-india-hiring/	Whois	microsoft.com
22	https://www.microsoft.com/en-us/research/lab/microsoft-research-india/research-fellow-program/	Whois	microsoft.com
23	https://sourcethemes.com/academic/	Whois	sourcethemes.com
24	https://gohugo.io	Whois	gohugo.io

AMITSHARMA.IN KEYWORD DENSITY CHECKER

PAGE INFO

ONE WORD PHRASES 469 Words

TWO WORD PHRASES 778 Words

THREE WORD PHRASES 858 Words

FOUR WORD PHRASES 881 Words

EXTERNAL LINKS

Email Tools

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AMITSHARMA.IN KEYWORD DENSITY CHECKER

PAGE INFO

ONE WORD PHRASES 469 Words

TWO WORD PHRASES 778 Words

THREE WORD PHRASES 858 Words

FOUR WORD PHRASES 881 Words

EXTERNAL LINKS

Email Tools

Website Tools

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