WildML – Artificial Intelligence, Deep Learning, and NLP

Thanks a lot to @aerinykim, @suzatweet and @hardmaru for the useful feedback! The academic Deep Learning research community has largely stayed away from the financial markets. Maybe that’s because the finance industry has a bad reputation, the problem doesn’t seem interesting from a research perspective, or because data is difficult and expensive to obtain. In this post, I’m going to argue that tr...

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wildml.com was registered 8 years 10 months ago. It has a alexa rank of #915,835 in the world. It is a domain having .com extension. It is estimated worth of $ 1,440.00 and have a daily income of around $ 6.00. As no active threats were reported recently, wildml.com is SAFE to browse.

Updated 3 years 6 months ago

Traffic Report

Daily Unique Visitors:	957
Daily Pageviews:	1,914

Estimated Valuation

Income Per Day:	$ 6.00
Estimated Worth:	$ 1,440.00

Search Engine Indexes

Google Indexed Pages:	Not Applicable
Yahoo Indexed Pages:	Not Applicable
Bing Indexed Pages:	Not Applicable

Search Engine Backlinks

Google Backlinks:	Not Applicable
Bing Backlinks:	Not Applicable
Alexa BackLinks:	Not Applicable

Safety Information

Google Safe Browsing:	No Risk Issues
Siteadvisor Rating:	Not Applicable
WOT Trustworthiness:	Very Poor
WOT Privacy:	Very Poor
WOT Child Safety:	Very Poor

Website Ranks & Scores

Alexa Rank:	915,835
PageSpeed Score:	89 ON 100
Domain Authority:	49 ON 100
Bounce Rate:	Not Applicable
Time On Site:	Not Applicable

Web Server Information

Hosted IP Address:

35.224.76.8

Hosted Country:

Location Latitude:

41.2619

Location Longitude:

-95.8608

Traffic Classification

Total Traffic:	Not Applicable
Direct Traffic:	Not Applicable
Referral Traffic:	Not Applicable
Search Traffic:	Not Applicable
Social Traffic:	Not Applicable
Mail Traffic:	Not Applicable
Display Traffic:	Not Applicable

Search Engine Results For wildml.com

WildML – Artificial Intelligence, Deep Learning, and NLP

- http://www.wildml.com/

The reason to use cryptocurrencies is that data is free, public, and easily accessible. Anyone can sign up to trade. The barriers to trading in the financial markets ...

Understanding Convolutional Neural Networks for NLP – WildML

- http://www.wildml.com/2015/11/understanding-convolutional-neural-networks-for-nlp/

7 Nov 2015 ... CNNs are basically just several layers of convolutions with ...

Recurrent Neural Networks Tutorial, Part 1 – Introduction to ... -...

- http://www.wildml.com/2015/09/recurrent-neural-networks-tutorial-part-1-introduction-to-rnns/

17 Sep 2015 ... What are RNNs? The idea behind RNNs is to make use of ...

Attention and Memory in Deep Learning and NLP – WildML

- http://www.wildml.com/2016/01/attention-and-memory-in-deep-learning-and-nlp/

3 Jan 2016 ... Attention Mechanisms in Neural Networks are (very) loosely ...

Implementing a Neural Network from Scratch in Python - WildML

- http://www.wildml.com/2015/09/implementing-a-neural-network-from-scratch/

3 Sep 2015 ... In this post we will implement a simple 3 -layer neural network ...

The Wild Week in AI Newsletter – WildML

- http://www.wildml.com/newsletter/

The Wild Week in AI is a weekly newsletter with hand-curated stories in Deep ...

Deep Learning Glossary – WildML

- http://www.wildml.com/deep-learning-glossary/

I am trying to keep the glossary specific to Deep Learning, but these decisions ...

Recurrent Neural Network Tutorial, Part 4 – Implementing ... - WildML

- http://www.wildml.com/2015/10/recurrent-neural-network-tutorial-part-4-implementing-a-grulstm-rnn-with-python-and-theano/

27 Oct 2015 ... Recurrent Neural Network Tutorial, Part 4 – Implementing a GRU/LSTM ... You can essentially treat LSTM (and GRU) units as a black boxes.

Implementing a CNN for Text Classification in TensorFlow – WildML

- http://www.wildml.com/2015/12/implementing-a-cnn-for-text-classification-in-tensorflow/

11 Dec 2015 ... Also, the dataset doesn't come with an official train/test split, so ...

Deep Learning for Chatbots, Part 1 – Introduction – WildML

- http://www.wildml.com/2016/04/deep-learning-for-chatbots-part-1-introduction/

6 Apr 2016 ... Deep Learning for Chatbots, Part 1 – Introduction · Retrieval- ...

‪Denny Britz‬ - ‪Google 學術搜尋‬ - Google Scholar

- https://scholar.google.com/citations?user=zZNKHdEAAAAJ&hl=zh-TW

URL: http://www. wildml. com/2015/11/understanding-convolutional …, 2015. 60, 2015. Effective domain mixing for neural machine translation. D Britz, Q Le, ...

Attention models in NLP a quick introduction | by Manish Chablani ...

- https://towardsdatascience.com/attention-models-in-nlp-a-quick-introduction-2593c1fe35eb

Credits: Here is abridged version of wildml article: http://www.wildml.com/2016/01 /attention-and-memory-in-deep-learning-and-nlp/ Typical seq2seq models ...

Generative Indonesian Conversation Model using Recurrent Neural ...

- https://www.sciencedirect.com/science/article/pii/S1877050918314844

URL: http://www wildml com/2015/11/understanding-convolutional- neuralnetworks-for-nlp/(visited on 28/05/2018) 2015;. Google Scholar. 3: Shao, Y ., Gouws, S., ...

How can we find the number of connections in a recurrent neural ...

- https://www.researchgate.net/post/How-can-we-find-the-number-of-connections-in-a-recurrent-neural-network

... look at the following links: www.cs.bham.ac.uk/~jxb/INC/l12.pdf · http://www. wildml.com/2015/09/recurrent-neural-networks-tutorial-part-1-introduction-to-rnns /.

Adjusting weights in an convolutional neural network - Data Science...

- https://datascience.stackexchange.com/questions/15885/adjusting-weights-in-an-convolutional-neural-network

src:http://www.wildml.com/2015/11/understanding-convolutional-neural-networks -for-nlp/. In the picture above we just see the input and the convolution layer.

LSTM and GRU

- http://akkikiki.github.io/assets/pdf/LSTM+and+GRU.html

References¶. [1] http://www.wildml.com/2015/10/recurrent-neural-networks- tutorial-part-3-backpropagation-through-time-and-vanishing-gradients/ ...

Recurrent neural networks - Machine Learning for Artists

- https://ml4a.github.io/ml4a/RNNs/

RNN tutorial http://www.wildml.com/2015/10/recurrent-neural-networks-tutorial- part-3-backpropagation-through-time-and-vanishing-gradients/.

Denny Britz - Quora

- https://www.quora.com/profile/Denny-Britz

High-school dropout. CS @ Stanford, Berkeley. Into Startups, VC, Machine Learning. Living in Asia. Writing at http://wildml.com and http://blog.dennybritz. com.

Passed the Machine Learning Specialty and my 11th AWS ...

- https://acloud.guru/forums/aws-certified-machine-learning-specialty/discussion/-LoZ8PVUYVE9V4F1K4ho/Passed the Machine Learning Specialty and my 11th AWS Certification

... http://www.wildml.com/2015/09/recurrent-neural-networks-tutorial-part-1- introduction-to-rnns/ I am still not an ML Engineer, but I know enough now to continue ...

Classifying radio galaxies with deep learning - CERN Indico

- https://indico.cern.ch/event/745580/attachments/1725269/2786700/Vesna_Lukic_Presentation.pdf

Convolutional neural networks http://www.wildml.com/2015/11/understanding- convolutional-neural-networks-for-nlp/. Pooling ...

Page Resources Breakdown

Homepage Links Analysis

Page Title of wildml.com

WildML – Artificial Intelligence, Deep Learning, and NLP

Website Inpage Analysis

H1 Headings:	1	H2 Headings:	16
H3 Headings:	27	H4 Headings:	5
H5 Headings:	Not Applicable	H6 Headings:	Not Applicable
Total IFRAMEs:	2	Total Images:	25
Google Adsense:	Not Applicable	Google Analytics:	Not Applicable

Two Phrase Analysis

Words	Occurrences	Density	Possible Spam
of the	64	0.481 %	No
in the	57	0.429 %	No
Reinforcement Learning	51	0.383 %	No
Deep Learning	36	0.271 %	No
such as	26	0.196 %	No
For example	25	0.188 %	No
order book	24	0.18 %	No
to the	24	0.18 %	No
the market	23	0.173 %	No
we can	21	0.158 %	No
want to	20	0.15 %	No
on the	20	0.15 %	No
the price	17	0.128 %	No
the order	17	0.128 %	No
and the	16	0.12 %	No
is a	15	0.113 %	No
the agent	15	0.113 %	No
in a	15	0.113 %	No
based on	15	0.113 %	No
need to	14	0.105 %	No

Four Phrase Analysis

Words	Occurrences	Density	Possible Spam
Learning for Chatbots Part	6	0.045 %	No
Deep Learning for Chatbots	4	0.03 %	No
the order book and	4	0.03 %	No
Convolutional Neural Networks for	4	0.03 %	No
Memory in Deep Learning	3	0.023 %	No
the response of the	3	0.023 %	No
and Memory in Deep	3	0.023 %	No
in Deep Learning and	3	0.023 %	No
come up with a	3	0.023 %	No
2 3 4 5	3	0.023 %	No
3 4 5 6	3	0.023 %	No
take a look at	3	0.023 %	No
for Chatbots Part 2	3	0.023 %	No
Chatbots Part 2 –	3	0.023 %	No
for Chatbots Part 1	3	0.023 %	No
Implementing a RetrievalBased Model	3	0.023 %	No
For example if we	3	0.023 %	No
a RetrievalBased Model in	3	0.023 %	No
Chatbots Part 1 –	3	0.023 %	No
– Implementing a RetrievalBased	3	0.023 %	No

Mobile Friendly Check

Mobile Friendly : Unknown
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No data to show.

HTTP Header Analysis

Http-Version: 1.1
Status-Code: 200
Status: 200 OK
Date: Mon, 21 Dec 2020 08:02:48 GMT
Server: Apache/2.4.38 (Debian)
X-Powered-By: PHP/7.4.13
Link: ; rel=shortlink
Vary: Accept-Encoding
Content-Encoding: gzip
Transfer-Encoding: chunked
Content-Type: text/html; charset=UTF-8

Domain Information

Domain Registrar:	Google LLC
Registration Date:	2015-08-26 8 years 10 months 4 days ago
Last Modified:	2020-08-26 3 years 10 months 4 days ago

Domain Nameserver Information

Host	IP Address	Country
ns-cloud-d1.googledomains.com	216.239.32.109	United States
ns-cloud-d2.googledomains.com	216.239.34.109	United States
ns-cloud-d3.googledomains.com	216.239.36.109	United States
ns-cloud-d4.googledomains.com	216.239.38.109	United States

DNS Record Analysis

Host	Type	TTL	Extra
wildml.com	A	277	IP: 35.224.76.8
wildml.com	NS	21600	Target: ns-cloud-d3.googledomains.com
wildml.com	NS	21600	Target: ns-cloud-d1.googledomains.com
wildml.com	NS	21600	Target: ns-cloud-d2.googledomains.com
wildml.com	NS	21600	Target: ns-cloud-d4.googledomains.com
wildml.com	SOA	21600	MNAME: ns-cloud-d1.googledomains.com RNAME: dns-admin.google.com Serial: 13 Refresh: 21600 Retry: 3600 Expire: 1209600
wildml.com	MX	3600	Priority: 40 Target: alt4.gmr-smtp-in.l.google.com
wildml.com	MX	3600	Priority: 10 Target: alt1.gmr-smtp-in.l.google.com
wildml.com	MX	3600	Priority: 20 Target: alt2.gmr-smtp-in.l.google.com
wildml.com	MX	3600	Priority: 5 Target: gmr-smtp-in.l.google.com
wildml.com	MX	3600	Priority: 30 Target: alt3.gmr-smtp-in.l.google.com
wildml.com	TXT	3600	TXT: v=spf1 include:servers.mcsv.net ?all

Alexa Traffic Rank

Alexa Search Engine Traffic

Full WHOIS Lookup

Domain Name: WILDML.COM
Registry Domain ID:
1955362918_DOMAIN_COM-VRSN
Registrar WHOIS Server:
whois.google.com
Registrar URL:
http://domains.google.com
Updated Date:
2020-08-26T07:40:23Z
Creation Date:
2015-08-26T03:55:58Z
Registry Expiry Date:
2021-08-26T03:55:58Z
Registrar: Google LLC
Registrar IANA ID:
895
Registrar Abuse Contact Email:
[email protected]
Registrar Abuse Contact Phone:
+1.8772376466
Domain Status: clientTransferProhibited
https://icann.org/epp#clientTransferProhibited
Name Server:
NS-CLOUD-D1.GOOGLEDOMAINS.COM
Name Server:
NS-CLOUD-D2.GOOGLEDOMAINS.COM
Name Server:
NS-CLOUD-D3.GOOGLEDOMAINS.COM
Name Server:
NS-CLOUD-D4.GOOGLEDOMAINS.COM
DNSSEC: unsigned
URL of the
ICANN Whois Inaccuracy Complaint Form:
https://www.icann.org/wicf/
>>> Last update of whois database:
2020-12-21T08:02:51Z

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Traffic Report

Estimated Valuation

Search Engine Indexes

Search Engine Backlinks

Safety Information

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Traffic Classification

Search Engine Results For wildml.com

WildML – Artificial Intelligence, Deep Learning, and NLP

Understanding Convolutional Neural Networks for NLP – WildML

Recurrent Neural Networks Tutorial, Part 1 – Introduction to ... -...

Attention and Memory in Deep Learning and NLP – WildML

Implementing a Neural Network from Scratch in Python - WildML

The Wild Week in AI Newsletter – WildML

Deep Learning Glossary – WildML

Recurrent Neural Network Tutorial, Part 4 – Implementing ... - WildML

Implementing a CNN for Text Classification in TensorFlow – WildML

Deep Learning for Chatbots, Part 1 – Introduction – WildML

‪Denny Britz‬ - ‪Google 學術搜尋‬ - Google Scholar

Attention models in NLP a quick introduction | by Manish Chablani ...

Generative Indonesian Conversation Model using Recurrent Neural ...

How can we find the number of connections in a recurrent neural ...

Adjusting weights in an convolutional neural network - Data Science...

LSTM and GRU

Recurrent neural networks - Machine Learning for Artists

Denny Britz - Quora

Passed the Machine Learning Specialty and my 11th AWS ...

Classifying radio galaxies with deep learning - CERN Indico

Page Resources Breakdown

Homepage Links Analysis

Website Inpage Analysis

Two Phrase Analysis

Four Phrase Analysis

Mobile Friendly Check

HTTP Header Analysis

Domain Information

Domain Nameserver Information

DNS Record Analysis

Alexa Traffic Rank

Alexa Search Engine Traffic

Full WHOIS Lookup

Similarly Ranked Websites

403: Access Forbidden

縱橫遊WWPKG -日本旅行團、自由行套票、郵輪及樂園門票首選

Moto Benzyna - dane techniczne, silniki, opinie, raporty spalania

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Hearing and balance assessment and rehabilitation systems |...