Open Education – Page 377

Nov 13

TFSA and Retirement income for Canadians

By Sayed in ব্লগ । Blog

TFSA and Retirement income for Canadians

"In a decade the contribution room has grown to $63,500, or $127,000 for a couple."

"It will be only another five years or so before the aggregate TFSA room climbs to $100,000 per person. At that time a couple in their early forties holding the maximum amount and making yearly contributions growing at 7% will have $1.26 million in tax-free accounts at age 65. That will throw off an income of about $76,000 per year in retirement which will not be counted as income, allowing full CPP and OAS collection. In other words, a household income of at least $110,000, with zero tax.
"

From: https://www.greaterfool.ca/2019/11/12/the-f-factor/

Nov 09

Can you answer these random questions on Data Science Project Development

By Sayed in AI ML DS RL DL NN NLP Data Mining Optimization, ব্লগ । Blog

Questions to answer

1. What does a data science project usually involve? What is the common theme across data science projects?

2. Does industry projects and research projects differ? Why and to what extent?

3. What are the some dataset repositories? Where can you get them?

4. Are all public datasets perfect for doing a project?

5. Can you get one dataset with all required data?

6. if you have different datasets with part of the data that you need — what do you do? do you just abandon the project?

7. True or false. you get a dataset and then directly apply your algorithm to get the answer or to predict?

8. Is there any benefit to check the data details such as see the distribution of the data? mean and median and mode of the data?

9. What are the usual steps in a data science research project?

10. what is univariate analysis?

11. what is bivariate analysis?

12. is multivariate analysis?

13. Why do you do univariate, bivariate or multivariate analysis?

14. What is exploratory data analysis?

15. What are the two types of exploratory data analysis.

16. What are the pros and cons of visualizing the raw data?

17. Is there any need to use clustering while doing data exploration? or this can be more of a methodology of the research process?

18. what is data synthesis?

19. What is study selection?

20. What do the materials and methods section in a data science research project contain?

21. Difference between Methodology and experiment?

22. Difference between Exploratory analysis step and methodology step?

23. What makes a good experiment?

24. what is a regression analysis? Can it be an exploratory analysis? can it be as part of experimental analysis.

25. what is PCA?

26. What is Principal Component Analysis?

27. What is factor analysis?

28. True or false => PCA and Factor analysis do the same thing i,e. they are the same? why, why not explain

29. What is the measure name that indicates whether factor analysis is required or not

30. With PCA, you can always ignore the similar behaving/contributing features?

31. can you find out the purpose of decision trees, SVM, deep learning. is there an opportunity to apply those for the project in concern? to what extent and how? is ther any more work to do for the dataset preparation?

32. Can you write Python code to visualize a feature with a box plot? If not, can you google/startpage to find out the code and implement? What does the Boxplot for this feature saying?

33. what are the prediction methodology used in the project? Which one performed the best? Does the result make sense? Does the perfect result make sense? Do you think there can be bias and the code will not be able to give similar output for other datasets?

34. What are the measures used for prediction performance?

35. What was used for the project: Linear/Polynomial Regression or Logistics Regression. What is a better measure between these two for this project or in general?

36. True or false, Logistic regression is for Regression

37. True or false, Linear regression is for Classification

38. What is the significance of R square? Low or high values of R square is desirable to say that the Regression outcome is important?

39. What is f-score?

40. What is the train-test-split method in Python?

41. Did I use SQL in the project? Was that a must? What else could you do?

42. Can you join multiple dataframe (i.e. table) in Python? Do you have left, right, inner or similar joins in Python.

Sayed Ahmed

Linkedin: https://ca.linkedin.com/in/sayedjustetc

Blog: http://Bangla.SaLearningSchool.com, http://SitesTree.com
Online and Offline Training: http://Training.SitesTree.com

If you want to contribute to the operation of this site including occasional free online training (using Skype, Zoom.us): http://Training.SitesTree.com (or charitable/non-profit work in the education sector), you can financially contribute to: safoundation at salearningschool.com using Paypal. Sometime, we also provide

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Nov 08

Reindex magento data using PHP (Shell) and Command Line

By Sayed in Magento 2, ব্লগ । Blog

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…

—

Sayed Ahmed

Linkedin: https://ca.linkedin.com/in/sayedjustetc

Blog: http://Bangla.SaLearningSchool.com, http://SitesTree.com
Online and Offline Training: http://Training.SitesTree.com

Nov 03

Example Health Condition Visualization

By Sayed in Data Visualization, ব্লগ । Blog

Example Health Condition Visualization. Only a doctor (related professional) can justify if the information is correct. Just the visualization. From: https://www.parathyroid.com/hyperparathyroidism-diagnosis.htm

Sayed Ahmed

Linkedin: https://ca.linkedin.com/in/sayedjustetc

Blog: http://Bangla.SaLearningSchool.com, http://SitesTree.com
Online and Offline Training: http://Training.SitesTree.com

Nov 03

Robotics: growth potential

By Sayed in ব্লগ । Blog

Robotics: growth potential doesn’t mean investment returns. Don’t get over excited when it comes to Investing.

https://lnkd.in/e5ZSX93

https://www.greaterfool.ca/wp-content/uploads/2019/11/DOUG-1.jpg

From: https://lnkd.in/e9tbFH5

Sayed Ahmed

Linkedin: https://ca.linkedin.com/in/sayedjustetc

Blog: http://Bangla.SaLearningSchool.com, http://SitesTree.com
Online and Offline Training: http://Training.SitesTree.com

Nov 03

Bangladesh Startup News

By Sayed in ব্লগ । Blog

‘
Future Startup Weekly

Nov 02

Might be of Interest to the readers of this platform

By Sayed in AI ML DS RL DL NN NLP Data Mining Optimization, ব্লগ । Blog

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

Linkedin: https://ca.linkedin.com/in/sayedjustetc

Blog: http://Bangla.SaLearningSchool.com, http://SitesTree.com
Online and Offline Training: http://Training.SitesTree.com

Affiliate Links:
Hottest Deals on Amazon USA: http://tiny.cc/38lddz

Hottest Deals on Amazon CA: http://tiny.cc/bgnddz

Hottest Deals on Amazon Europe: http://tiny.cc/w4nddz

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.

Nov 02

Industry Job Prospect for Graph Mining

By Sayed in ব্লগ । Blog

Industry Job Prospect for Graph Mining

Sample Jobs

https://www.careerbuilder.com/jobs-graph-mining

https://www.indeed.com/q-Graph-Mining-jobs.html

For example, Google works in these areas of Graph Mining and Google has jobs for such. Also, Facebook and any other social networking site will have jobs in relation to Graph Mining. For details, open this page.

Job Areas:

The general Mining (data based) jobs and Machine/Deep/Reinforcement Learning jobs will require Graph Mining expertise sometimes such as positions (real) : Research Intern – Deep Learning for Graphs, ML Engineer – Siri Knowledge Graph

Computer Networks, Network/Cyber Security application development (also R & D) positions might ask for Graph Mining expertise.

Graph Mining will have applications and jobs in Biological, Chemistry, Drug Design areas also in Transportation

Social Network Mining will always involve Graph Mining. Applications: Friend Recommendation

Trajectory Data Mining Jobs at Microsoft

https://www.microsoft.com/en-us/research/publication/trajectory-data-mining-an-overview/

Graph Mining Jobs (areas) at Google:
https://ai.google/research/teams/algorithms-optimization/graph-mining/

Large-Scale Balanced Partitioning: Example Google Maps Driving Directions, Large-Scale Clustering:clustering graphs at Google scale, Large-Scale Connected Components, Large-Scale Link Modeling: similarity ranking and centrality metrics: link prediction and anomalous link discovery., Large-Scale Similarity Ranking: Personalized PageRank, Egonet similarity, Adamic Adar, and others, Public-private Graph Computation, Streaming and Dynamic Graph Algorithms, ASYMP: Async Message Passing Graph Mining, Large-Scale Centrality Ranking, Large-Scale Graph Building

More Related Jobs:

Tools in Jobs/Jobs–https://www.researchgate.net/post/Can_you_suggest_a_graph_mining_tool

—https://www.linkedin.com/jobs/gephi-jobs/

—https://bit.ly/2Nwlnrp Data Scientist 2

Oct 26

Future Startup Weekly

By Sayed in Jobs in Canada and USA, ব্লগ । Blog

FS Weekly

Please find the updates that you missed from FS in last 7 days. If you enjoy them, please share the mail with others.

How GrameenPhone Was Created

Iqbal Quadir, founder of GrameenPhone and the founder and director emeritus of the Legatum Center for Development and Entrepreneurship at MIT, shared how Grameenphone was created and what it takes to make something of consequence. The story is an excerpt from this interview here. The journey I came from Bangladesh, from a relatively smaller town […]

How LightCastle Partners Was Created

Most journeys are nonlinear in nature. You don’t go straight from A to B. Rather you take a circuitous route – first go from A to C and then to B. For entrepreneurs, this is even more so. People who start companies don’t do it overnight. It is not like you to come up with […]

BProperty Expands Coverage To Tongi

Bproperty has signed an exclusive contract with Altaf Tower Ltd on 14 October 2019. Through this contract, Bproperty is expanding its’ operations out of the capital city, in Tongi. The Company will be responsible for the marketing of 54 units of the residential apartment – called Tahsia Manzil, constructed by Altaf Tower Ltd. The range […]

Building The Largest Digital Marketplace For Made In Bangladesh Products: An Interview With Zeeshan Khurshed Mazumder, Founder And CEO, BeshiDeshi

Zeeshan Khurshed Mazumder is the Founder And CEO of Beshi Deshi, a digital marketplace for made in Bangladesh products that helps artisans, craftsmen, and companies that make local products with customers both in Bangladesh and abroad. Founded in 2018, BeshiDeshi has grown significantly. The company says it has over 12,000 products of 200 different categories, 350+ Partners on its platform.

Inside Delivery Tiger’s Plans To Meaningfully Bring Down The Cost Of eCommerce Logistics

A new logistics company called Delivery Tiger, says it has figured a way to address the challenges of online delivery through building a logistics marketplace. Founded by Fahim Mashroor, Founder of Bdjobs.com and Ajkerdeal, Delivery Tiger says it can offer logistics services at a significantly lower price, 25 tk only anywhere in Bangladesh, and the widest coverage across the country.

How Solaric Was Created

Solaric is the SolarCity equivalent of Bangladesh – revolutionizing the solar energy space in this part of the world with innovations and better products. Officially launched in 2011, the company has seen meaningful growth over the past few years. In an interview with Future Startup, published in 2017, Mr. Didar Islam, Founder and Managing Director […]

How To Build A Profitable Tech Product Business In Bangladesh: An Interview With Abul Bashar Md Sharif, Director and COO, Easytrax

Abul Bashar Md Sharif is the Co-founder and COO of Easytrax, a Dhaka-based company that offers GPS tracking and fleet management solutions. Mr. Sharif co-founded the company along with his friend as a side project while working full-time at Grameenphone. After a few months into the business, he left his job at GP and became a full-time entrepreneur. The first year was tough. The growth was slow. There were too many challenges to address with limited resources. Mr. Sharif and his partner did not give up. Slowly and steadily the business grew. Today, Easytrax is one of the leading players in the GPS tracking and fleet management solutions space in Bangladesh. The company has built a profitable subscription business, expanded into new areas and is now looking to explore new growth opportunities.

How Can An Automated Dialer Help Your Startup Business Grow

Automatic or auto-dialers are part of Computer Telephone Integration (CTI) systems. Organizations use unique software, a modem, and a computer to let systems dial phone numbers. Many companies use these applications for cold calling and other marketing practices. If you’re interested in using an autodialer to help your startup business grow, continue reading to know […]

FS Weekly Review #31: Chaldal’s Pro-environment Initiative, Evaly Connect, IDLC VC Fund, And More

Grocery Shopping Without A Bag: How Chaldal Executed On An Ambitious Environmental Goal By Encouraging Its Users To Reuse Shopping Bags Chaldal, the leading online grocery company in Dhaka, has introduced an environment-friendly initiative a few months ago: its customers have to return the shopping bag that they receive during delivery of groceries. Customers could […]

Future Startup
Basilla Mohammadpur
Dhaka Dhaka 1209
Bangladesh

Oct 26