You can go to the shell folder, and run the following to reindex everything

php indexer.php –reindexall

Magento 2 has similar command line features.

php bin/magento indexer:reindex

—
To reindex individually

php yourmagentofolder/shell/indexer.php -reindex catalog_product_attribute
php yourmagentofolder/shell/indexer.php -reindex catalogsearch_fulltext
php yourmagentofolder/shell/indexer.php -reindex catalog_category_flat
php yourmagentofolder/shell/indexer.php -reindex cataloginventory_stock
php yourmagentofolder/shell/indexer.php -reindex catalog_category_product php yourmagentofolder/shell/indexer.php -reindex catalog_product_price
php yourmagentofolder/shell/indexer.php -reindex tag_summary
php yourmagentofolder/shell/indexer.php -reindex catalog_url

Reference:https://magento.stackexchange.com/questions/162166/how-to-reindex-magento-1-x-by-using-command-line
Sure, I also executed these/similar myself…

—

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Post Data:2019-11-08 10:44:46

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Self Learning AI-Agents Part II: Deep Q-Learning

https://towardsdatascience.com/self-learning-ai-agents-part-ii-deep-q-learning-b5ac60c3f47

Canada’s flawed financial advice industryCommissions and conflicting interests persist – when are we going to get the value we deserve?
https://www.morningstar.ca/ca/news/196072/canadas-flawed-financial-advice-industry.aspx

Whatever the Future Holds, Stocks Are Not Priced for a Recession
https://www.bloomberg.com/news/articles/2019-10-06/whatever-the-future-holds-stocks-are-not-priced-for-a-recession?srnd=premium-canada

Machine Learning Model Deployment: Strategy to Implementation
https://www.youtube.com/watch?v=xEG8u62TB2Q

—

Sayed Ahmed

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Post Data:2019-11-02 23:03:48

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If you are interested to get access to a course (under development) on Graph Mining (Part of AI/Data Science/Analytics/ML), please request using the following Google Form (or just inform us your email in a way so that we can give you access):

https://docs.google.com/forms/d/e/1FAIpQLSerGzkN9WlWW6SyDwaV-zdcYuSpXXODk9JIBTp7–EA_WTUCg/viewform?usp=sf_link

Or use the event to show your interest and inform the email

https://www.facebook.com/events/580536076020896/

The course will be posted on:

http://sitestree.com/training/enrol/index.php?id=112

What will be in the course:

Important topics to learn in Graph Mining, Important questions/concerns/Resources to read to answer those questions and concerns/reading/answers/research papers/projects/code/tools on different Graph Mining Topics (by topics)/quizzes to test your knowledge and learning, a set of possible assignments/labs for you to implement and practice, some example code, example assignments/problems & solutions, example researches that are going on, potential research topics, potential project problems, example use cases.

A chat option (every evening) to chat with others on the topics and questions, a discussion forum to discuss the topics, I believe that I will answer the sincere questions in the discussion forums.

This is more of a conceptual course where a course primarily on tools, code, and implementation might be created in the future.

The course is offered under Justetc Social Services (a non-profit in Canada), 81112223 Canada Inc. (Justetc Technologies)

Sayed Ahmed

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Post Data:2019-10-23 19:51:30

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Graph Mining: Louvian/Louvain Modularity: Learn by finding answers to the following questions. Can you answer the following questions?

I have seen both: Louvian Modularity and Louvain Modularity. I will use Louvain Modularity

What is the primary problem that Louvain Modularity solved?

Is Louvain good at detecting small communities?

What is modularity in Graphs?

What is the range of values used to show the modularity of a Graph?

What is the equation for Modularity? You can just only explain conceptually – what are the parameters/parts – how do the parameters work?

Give the algorithm for Louvain Modularity? You can just describe or you can show the steps.

Give the Pseudo-code for Louvain Modularity and implement in Python or R or C/C++?

Is Louvain Modularity easily parallelize-able or it is more sequential?

Investigate if any other algorithm is there that works like Louvain (i.e. can be an extension/modification of Louvain) that are better suited for Parallelization.

What is the first step in Louvain Algorithm?

True or False, at first step, all nodes are assigned to one community?

True or false, at first each node is assigned to it’s own community? i.e. no of vertices = no of communities

What are the two steps in Louvain Algorithm? What is the name of the steps?

What can be the terminating condition for the Louvain Algorithm?

How a node i is merged to a neighbor node/community to create a community? What is the measure used? Can you use the modularity equation as the measure to see how and to what node/community node i will merge to? Can it happen that node i will not be merged with anything though initially, you wanted to merge/assign i to another node/community?

When you will leave a node i alone without merging with a neighbor node/community? In that case, what will be the value of the modularity i.e. modularity change (i alone or i merged with a node/community)

when you try to merge node i with a neighbor node/community, do you try to assign node i to all possible neighbor node/community and calculate modularity change? If so, to which node/community i will get assigned to (describe in terms of modularity change)?

What is Modularity Optimization in Louvain modularity? Describe the steps/process for this Optimization.

What is the second step/phase for the Louvain Algorithm? What it is called? What happens here? what are the steps/process?

Is the Louvain Algorithm supervised?

Is the Louvain Algorithm fast or slow?

How many passes do the Louvain Algorithm require to create the communities?

What is the resolution limit for the Louvain Algorithm?

When the resolution limit is low, do you get more/smaller communities?

When the resolution limit is high, do you get less/larger output communities?

What is the numerical range used for the resolution limit?

Resources:
Louvain: Fast and Memory efficient. A Parallel Alternative
https://phys.org/news/2015-01-fast-problems.html

Modularity_(networks)
https://en.wikipedia.org/wiki/Modularity_(networks)

Louvain Modularity
https://en.wikipedia.org/wiki/Louvain_Modularity

Fast unfolding of communities in large networks
https://arxiv.org/pdf/0803.0476.pdf

Resolution Limit
https://en.wikipedia.org/wiki/Modularity_%28networks%29#Resolution_limit

By

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Not that this site is doing any great work; However, if you want to contribute to the operation of this site (or charitable/non-profit work in the education sector), you can financially contribute to: safoundation at salearningschool.com (Justetc Social Services) using Paypal.

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Post Data:2019-10-13 13:43:49

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Graph Mining: Introducing Graphs: Learn by finding answers to the following questions?

Questions

What is a Graph?

Give an example of a Graph?

What are the different Types of Graphs? i.e. Try to give some examples of different ways how Graphs are classified?

What is a directed Graph?

What is an undirected Graph?

What are Labeled Graphs?

What are Weighted Graphs?

What are the unweighted Graphs?

What are the Bipartite Graphs?

What is a Tree?

What is a Signed Graph?

What is a Looped Graph? i.e. What is a loop?

Compare Static and Time-evolving Graphs.

What is an Isomorphic Graph?

What does Isomorphism mean when it comes to Graphs?

What are different ways to represent Graphs? i.e. when implementing Graph Algorithms?

How to store a Graph data in programming languages?

Describe the Adjacency Matrix approach of Graph Representation.

Give a small example graph then represent it using the Adjacency Matrix approach of Graph Representation.

Represent the following Graph using Adjacency Matrix approach of Graph Representation
Edges: {0, 1} {0, 4} {1, 2} {1, 3} {1, 4} {2, 3} {3, 4}

What are the advantages/pros of the Adjacency Matrix Representation?

What are the disadvantages/cons of the Adjacency Matrix Representation?

Describe the Adjacency List approach of Graph Representation.

Give a small example graph then represent it using the Adjacency List approach of Graph Representation.

Represent the following Graph using Adjacency List approach of Graph Representation
Edges: {0, 1} {0, 4} {1, 2} {1, 3} {1, 4} {2, 3} {3, 4}

What are the advantages/pros of the Adjacency List Representation?

What are the disadvantages/cons of the Adjacency List Representation?

Describe the Adjacency Tensor approach of Graph Representation.

Give a small example graph then represent it using the Adjacency Tensor approach of Graph Representation.

Represent the following Graph using Adjacency Tensor approach of Graph Representation
Edges: {0, 1} {0, 4} {1, 2} {1, 3} {1, 4} {2, 3} {3, 4}

What are the advantages/pros of Adjacency Tensor Representation?

What are the disadvantages/cons of Adjacency Tensor Representation?

True or False? Adjacency Matrix is a 2D array of size V x V where V is the number of vertices in a graph.

Can the Adjacency Matrix represent weighted graphs?

How easy it is you think to represent graphs using Adjacency Matrix?

What is the complexity of removing an edge from Adjacency Matrix representation?

What is the complexity of queries such as whether there is an edge between vertex a and b for Adjacency Matrix representation?

What is the Space complexity for Adjacency Matrix representation? Use vertex count to represent.

What is the complexity of adding an edge from Adjacency Matrix representation?

For the Adjacency List approach, how many total lists are there? How many vertices each list can have at best?

For the Adjacency List approach, how many lists are there for one vertex?

How much Space does the Adjacency List approach take?

How many elements does an Adjacency list contain for an undirected graph? Represent using E = edge count. For the complete representation of the Graph.

Why the complete representation of an undirected Graph using Adjacency List will have 2|E| number of elements?

How many times does an edge appear in the complete representation of the Undirected Graph using the Adjacency List?

Why the complete representation of the Directed Graph using Adjacency List will have |E| number of elements?

How many times does an edge appear in the complete representation of the Directed Graph using the Adjacency List?

How many dimensions will an Adjacency Tensor have for Tensor? What is this for Dynamic Graphs?

Some Answers
What are the different Types of Graphs? i.e. Try to give some examples of different ways how Graphs are classified?

Ans: Undirected vs. Directed, Attributed/Labeled (e.g., vertex, edge) vs. Unlabeled, Weighted vs. Unweighted, General vs. Bipartite (Multipartite), Signed Graphs, Trees (no cycles), Simple vs. w/ loops vs. w/ multi-edges, Static vs. Time Evolving Graphs, Isomorphic Graphs

What are the different ways to represent Graphs? i.e. when implementing Graph Algorithms?
Ans: Static Graphs, Adjacency Matrix, Adjacency List, Dynamic Graphs, Adjacency 3D Tensor

Resources:
Graph mining – lesson 1 Introduction to graphs and networks Nathalie Vialaneix
http://www.nathalievialaneix.eu/teaching/m2se/M2SE-network_1.pdf

phpFox Features: Start your own Social Network
https://www.phpfox.com/features/

Bipartite graph
https://en.wikipedia.org/wiki/Bipartite_graph

Tree (data structure)
https://en.wikipedia.org/wiki/Tree_(data_structure)

Tree structure
https://en.wikipedia.org/wiki/Tree_structure

Signed graph
https://en.wikipedia.org/wiki/Signed_graph

Gene regulatory network
https://en.wikipedia.org/wiki/Gene_regulatory_network

Dynamic Influence Analysis in Evolving Networks (VLDB’16)
https://www.slideshare.net/todo314/dynamic-influence-analysis-in-evolving-networks-vldb16

Introduction to Graph Theory
https://www.csc2.ncsu.edu/faculty/nfsamato/practical-graph-mining-with-R/slides/ppt/Introduction_to_Graph_Theory.ppt

Graph and its representations
https://www.geeksforgeeks.org/graph-and-its-representations/

Representing graphs
https://www.khanacademy.org/computing/computer-science/algorithms/graph-representation/a/representing-graphs
https://www.geeksforgeeks.org/graph-and-its-representations/

By

Sayed Ahmed

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We do not claim that this site is doing any great work; However, if you want to contribute to the operation of this site (or charitable/non-profit work in the education sector), you can financially contribute to: safoundation at salearningschool.com using Paypal. Monthly our articles/short-notes sites usually have visitors in the range 10k to 20k. From: https://sitestree.com/graph-mining-introducing-graphs-learn-by-finding-answers-to-the-following-questions/
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Post Data:2019-10-10 14:40:23

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Robots for Biopsy and Surgery. The intersection of Medical and Engineering.

From Google search. I cannot say if the information on the URLs are reliable.

FDA Clears Intuitive Surgical’s Lung Cancer Biopsy Robot
https://www.mpo-mag.com/contents/view_breaking-news/2019-02-20/fda-clears-intuitive-surgicals-lung-cancer-biopsy-robot/

World’s smallest and most accurate 3-D-printed biopsy robot
https://phys.org/news/2017-07-world-smallest-accurate-d-printed-biopsy.html

Intuitive Surgical Releases Ion Robotic Lung Biopsy System
https://www.medgadget.com/2019/02/intuitive-surgical-releases-ion-robotic-lung-biopsy-system.html

Robot-assisted stereotactic brain biopsy: systematic review and bibliometric analysis
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5996011/

A student-designed device may allow faster, more accurate lung biopsies.
https://www.technologyreview.com/s/404729/robotic-biopsy/

More precise.1 More flexible.1 For more answers.
https://www.intuitive.com/en-us/products-and-services/ion

Robots from Space Lead to One-stop Breast Cancer Diagnosis Treatment
https://www.nasa.gov/mission_pages/station/research/news/b4h-3rd/hh-space-robots-breast-cancer-diagnosis/

Evolution of Robot-assisted ultrasound-guided breast biopsy systems
https://www.sciencedirect.com/science/article/pii/S1687850717301632

Ion lung biopsy system from Intuitive Surgical wins FDA approval
https://www.therobotreport.com/ion-lung-biopsy-intuitive-surgical-fda/

Robotic Partial Nephrectomy: Robotic Surgery for Kidney Cancer and Benign Kidney Tumors
https://med.nyu.edu/robotic-surgery/physicians/procedures/z-procedures-guide/robotic-partial-nephrectomy

Robotic kidney transplantation allows safe access for transplant renal biopsy and percutaneous procedures.
https://www.ncbi.nlm.nih.gov/pubmed/31483897

Robotic assisted kidney transplantation
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4120216/

Robotic & Image Guided Surgery
https://my.clevelandclinic.org/departments/urology-kidney/depts/robotic-laparoscopic-surgery

Laparoscopic and Robotic Partial Nephrectomy
https://urology.ufl.edu/patient-care/robotic-laparoscopic-urologic-surgery/procedures/laparoscopic-and-robotic-partial-nephrectomy/

Should I have surgery to remove part or all of my kidney for my kidney tumor?
A decision aid to discuss treatment options with your urologist
https://decisionaid.ohri.ca/docs/das/Surgery_for_Kidney_Cancer.pdf

Robotic kidney transplantation allows safe access for transplant renal biopsy and percutaneous procedures
https://onlinelibrary.wiley.com/doi/abs/10.1111/tri.13517

Ultrasound Imaging for Robotic Surgery
https://www.bkmedical.com/applications/robotic-assisted-surgery-ultrasound/

An MRI-Compatible Robotic System for Breast Biopsy
https://www.youtube.com/watch?v=TlLN9drqidU

Robotic biopsy tool could revolutionise cancer screening
https://www.reuters.com/video/2018/07/23/robotic-biopsy-tool-could-revolutionise?videoId=448136910

3D Printed MRI Biopsy Robot
https://www.youtube.com/watch?v=dF66T63jvhQ

—-

Sayed Ahmed

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Post Data:2019-10-08 21:28:12

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Tool: https://www.f-secure.com/en_GB/web/home_gb/router-checkerKnowledgebase: https://securitytrails.com/blog/dns-hijacking

By

Sayed Ahmed

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From: https://sitestree.com/has-your-dns-got-hijacked/
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Post Data:2019-10-07 19:50:29

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Answer the questions by reading the notes after the questions (i.e. by reading the paper if available online):

Can you use RNN-LSTM for Text Classification?
Can you use RNN-LSTM for Text Summarization?
Can you use CNN for Text Classification?
Can you use CNN for Text Classification?
What does CNN stand for?
What does RNN stand for?
What does CNN-LSTM stand for?
What is more used in NLP tasks: CNN or RNN-LSTM?
What are the types of CNN?
What is CNN-Static?
What is CNN-Multichannel?
What is Glove?
What is Word2Vec?
How does text-summarization by RNN-LSTM compare with human made summaries?
How can you compare the quality of summarization between summary created by RNN-LSTM and human made summaries?
Which method provided better result for text classification (CNN or RNN-LSTM) according to this paper?
What is text encoding?
Can you encode text with your own method?
What will you prefer between Glove and Word2Vec? Why and When?
What are the different types of text encoders available?
What is special about RNN than simple NN?
What is Gated RNN?
How does Gated RNN compare with Simple RNN for text classification? From: https://sitestree.com/nlp-answer-the-questions-by-reading-the-notes-after-the-questions-i-e-by-reading-the-paper-if-available-online/
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Post Data:2019-10-04 15:24:00

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Some Research on CKD Disease, Chronic Kidney Disease. Just to keep track

These are research i.e. studies. These are not to be interpreted by everyone; however, only for the people who have the background to interpret. There should be 1000s of studies or 100’s of 1000s studies on this and related topic. Hence, do not study these and apply to yourselves.

1. http://www.ncbi.nlm.nih.gov/pubmed/18262740
2. http://www.ncbi.nlm.nih.gov/pubmed/19146934
3. http://www.ncbi.nlm.nih.gov/pubmed/9255718
4. http://www.ncbi.nlm.nih.gov/pubmed/17619305
5. http://www.ncbi.nlm.nih.gov/pubmed/19545680
6. http://www.ncbi.nlm.nih.gov/pubmed/2045012
7. http://www.ncbi.nlm.nih.gov/pubmed/20951192
8. http://en.cnki.com.cn/Article_en/CJFDTOTAL-ZGTL200002007.htm
9. http://umm.edu/health/medical/altmed/herb/goldenrod
10. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2736774/
11. http://www.ncbi.nlm.nih.gov/pubmed/?term=Couch+grass+kidney
12. http://www.ncbi.nlm.nih.gov/pubmed/?term=goldenrod+kidney
13. http://www.ncbi.nlm.nih.gov/pubmed/15339033
14. http://www.ncbi.nlm.nih.gov/pubmed/21190603
15. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3062120/
16. http://www.ncbi.nlm.nih.gov/pubmed/21505983
17. http://www.ncbi.nlm.nih.gov/pubmed/22142357
18. http://www.ncbi.nlm.nih.gov/pubmed/22434410
19. http://www.sciencedirect.com/science/article/pii/S0144861712007357
20. http://www.ncbi.nlm.nih.gov/pubmed/22455126
21. http://www.ncbi.nlm.nih.gov/pubmed/22760215
22. http://www.ncbi.nlm.nih.gov/pubmed/22944441
23. http://www.ncbi.nlm.nih.gov/pubmed/2335959
24. http://www.ncbi.nlm.nih.gov/pubmed/26237835
25. http://www.ncbi.nlm.nih.gov/pubmed/26503560
26. http://www.ncbi.nlm.nih.gov/pubmed/26712211
27. http://www.sciencedirect.com/science/article/pii/S0378874113008222
28. http://www.umm.edu/altmed/articles/horsetail-000257.htm
29. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2695282/
30. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4177777/
31. https://www.ncbi.nlm.nih.gov/pubmed/11887407
32. https://www.ncbi.nlm.nih.gov/pubmed/15638071
33. https://www.ncbi.nlm.nih.gov/pubmed/2335959
34. https://www.ncbi.nlm.nih.gov/pubmed/24353832
35. https://www.ncbi.nlm.nih.gov/pubmed/25172798
36. https://www.ncbi.nlm.nih.gov/pubmed/25674203
37. https://www.ncbi.nlm.nih.gov/pubmed/26612737

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