Design optimization

Design optimization

https://medium.com/generative-design/design-optimization-2ec2ba3b40f7

Learning from nature

https://medium.com/generative-design/learning-from-nature-fe5b7290e3de

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Sayed Ahmed

BSc. Eng. in Comp. Sc. & Eng. (BUET)
MSc. in Comp. Sc. (U of Manitoba, Canada)
MSc. in Data Science and Analytics (Ryerson University, Canada)
Linkedin: https://ca.linkedin.com/in/sayedjustetc

Blog: http://Bangla.SaLearningSchool.com, http://SitesTree.com
Online and Offline Training: http://Training.SitesTree.com
FB Group on Learning/Teaching: https://www.facebook.com/banglasalearningschool
Our free or paid events on IT/Data Science/Cloud/Programming/Similar: https://www.facebook.com/justetcsocial

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If you want to contribute to the operation of this site (Bangla.SaLearn) including occasional free and/or low cost online/offline training: http://Training.SitesTree.com (or charitable/non-profit work in the education/health/social service sector), you can financially contribute to: safoundation at salearningschool.com using Paypal or Credit Card (on http://sitestree.com/training/enrol/index.php?id=114 ).

The World is for Polymaths: An Interview with Sajid Amit, Academic, Researcher, and Development Strategist (Part One)

"

The World is for Polymaths: An Interview with Sajid Amit, Academic, Researcher, and Development Strategist (Part One)

0
“When you have multiple lenses with which to consider a problem, it is an incredible advantage. The world is for polymaths,” says Sajid Amit as he makes his case for pursuing an interdisciplinary approach to seeking knowledge. Knowledge is combinatorial in nature. New knowledge emerges at the intersection of distinct verticals. New ideas come into being when two or more distinct ideas interact."
https://futurestartup.com/2019/11/04/polymaths-interview-with-sajid-amit/

Building An eLearning Platform In Bangladesh: An Interview With Md Yanur Islam Piash, Co-founder and CEO, Bohubrihi

"

Building An eLearning Platform In Bangladesh: An Interview With Md Yanur Islam Piash, Co-founder and CEO, Bohubrihi

Co-founder and CEO of eLearning Marketplace startup Bohubrihi, Md Yanur Islam Piash, reflects on his entrepreneurial journey, talks about Bohubrihi, how Bohubrihi came into being, the challenges of eLearning in Bangladesh, how Bohubrihi operates, its business model and product details, the state of Bohubrihi’s business today, its ambition going forward, shares his thoughts on the challenges of being a founder, putting things on paper and journaling as an antidote to stress of building a business, the importance of talking to your customers while building a company and much more. "

https://futurestartup.com/2019/11/13/md-yanur-islam-piash-on-bohubrihi/

Misc. Basic Concepts From Linear Algebra

"Vector Space

Description

A vector space is a collection of objects called vectors, which may be added together and multiplied by numbers, called scalars. Scalars are often taken to be real numbers, but there are also vector spaces with scalar multiplication by complex numbers, rational numbers, or generally any field. Wikipedia"

https://en.wikipedia.org/wiki/Vector_space

What is F in the Vector Space

"The general definition of a vector space allows scalars to be elements of any fixed field F. The notion is then known as an Fvector spaces or a vector space over F. A field is, essentially, a set of numbers possessing addition, subtraction, multiplication and division operations."
https://en.wikipedia.org/wiki/Vector_space

"

"What is a span of a set of vectors?

The span of a set of vectors is the set of all linear combinations of the vectors. For example, if and then the span of v1 and v2 is the set of all vectors of the form sv1+tv2 for some scalars s and t. The span of a set of vectors in gives a subspace of .

Linear Algebra basics


https://www.rpi.edu › ~mitchj › handouts › linalg
"

"

Gaussian elimination – Wikipedia


https://en.wikipedia.org › wiki › Gaussian_elimination

Gaussian elimination, also known as row reduction, is an algorithm in linear algebra for solving a system of linear equations. It is usually understood as a sequence of operations performed on the corresponding matrix of coefficients.

"
https://en.wikipedia.org/wiki/Gaussian_elimination

Linear Maps
"In mathematics, a linear map (also called a linear mapping, linear transformation or, in some contexts, linear function) is a mapping V → W between two modules (for example, two vector spaces) that preserves (in the sense defined below) the operations of addition and scalar multiplication.

Linear map – Wikipedia


https://en.wikipedia.org › wiki › Linear_map
"

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Linear Algebra

https://link-springer-com.libaccess.lib.mcmaster.ca/book/10.1007%2F978-3-319-11080-6

Sayed Ahmed

BSc. Eng. in Comp. Sc. & Eng. (BUET)
MSc. in Comp. Sc. (U of Manitoba, Canada)
MSc. in Data Science and Analytics (Ryerson University, Canada)
Linkedin: https://ca.linkedin.com/in/sayedjustetc

Blog: http://Bangla.SaLearningSchool.com, http://SitesTree.com
Online and Offline Training: http://Training.SitesTree.com
FB Group on Learning/Teaching: https://www.facebook.com/banglasalearningschool
Our free or paid events on IT/Data Science/Cloud/Programming/Similar: https://www.facebook.com/justetcsocial

Get access to courses on Big Data, Data Science, AI, Cloud, Linux, System Admin, Web Development and Misc. related. Also, create your own course to sell to others. http://sitestree.com/training/

If you want to contribute to the operation of this site (Bangla.SaLearn) including occasional free and/or low cost online/offline training: http://Training.SitesTree.com (or charitable/non-profit work in the education/health/social service sector), you can financially contribute to: safoundation at salearningschool.com using Paypal or Credit Card (on http://sitestree.com/training/enrol/index.php?id=114 ).

linkedin profile

Director/Course Designer/Trainer

Justetc (Just Et Cetera) Social Services

Non-profit. As we can basis, as time and schedule permit basis. Courses: https://SitesTree.com/training (Free and/or low cost workshops and training). Events: http://facebook.com/justetcsocial. Subject areas in order: Big-Data & Machine Learning (ML, DL, NN, RL, NLP, Visualization), Cloud, Linux/System Admin, Security, DBMS/BI, Web/Mobile/Software Dev.

Sayed Ahmed

BSc. Eng. in Comp. Sc. & Eng. (BUET)
MSc. in Comp. Sc. (U of Manitoba, Canada)
MSc. in Data Science and Analytics (Ryerson University, Canada)
Linkedin: https://ca.linkedin.com/in/sayedjustetc

Blog: http://Bangla.SaLearningSchool.com, http://SitesTree.com
Online and Offline Training: http://Training.SitesTree.com
FB Group on Learning/Teaching: https://www.facebook.com/banglasalearningschool
Our free or paid events on IT/Data Science/Cloud/Programming/Similar: https://www.facebook.com/justetcsocial

Get access to courses on Big Data, Data Science, AI, Cloud, Linux, System Admin, Web Development and Misc. related. Also, create your own course to sell to others. http://sitestree.com/training/

If you want to contribute to the operation of this site (Bangla.SaLearn) including occasional free and/or low cost online/offline training: http://Training.SitesTree.com (or charitable/non-profit work in the education/health/social service sector), you can financially contribute to: safoundation at salearningschool.com using Paypal or Credit Card (on http://sitestree.com/training/enrol/index.php?id=114 ).

How Big Tech is helping transform cars into smartphones

How Big Tech is helping transform cars into smartphones

"Those services – streaming video, vehicle performance upgrades, dashboard commerce – could answer a pressing need for automakers. They need to learn how to milk their hardware for revenue long after vehicles roll off dealers’ lots. Tech companies see cars and the time people spend in them as a new frontier for growth."

https://www.reuters.com/article/us-tech-ces-autos/how-big-tech-is-helping-transform-cars-into-smartphones-idUSKBN1Z81AG

*** . *** . ***

Sayed Ahmed

BSc. Eng. in Comp. Sc. & Eng. (BUET)
MSc. in Comp. Sc. (U of Manitoba, Canada)
MSc. in Data Science and Analytics (Ryerson University, Canada)
Linkedin: https://ca.linkedin.com/in/sayedjustetc

Blog: http://Bangla.SaLearningSchool.com, http://SitesTree.com
Online and Offline Training: http://Training.SitesTree.com
FB Group on Learning/Teaching: https://www.facebook.com/banglasalearningschool
Our free or paid events on IT/Data Science/Cloud/Programming/Similar: https://www.facebook.com/justetcsocial

Get access to courses on Big Data, Data Science, AI, Cloud, Linux, System Admin, Web Development and Misc. related. Also, create your own course to sell to others. http://sitestree.com/training/

If you want to contribute to the operation of this site (Bangla.SaLearn) including occasional free and/or low cost online/offline training: http://Training.SitesTree.com (or charitable/non-profit work in the education/health/social service sector), you can financially contribute to: safoundation at salearningschool.com using Paypal or Credit Card (on http://sitestree.com/training/enrol/index.php?id=114 ).

Misc: SVN and Git

SVN Vs Git: Which One Is Best For Your Needs?
https://hackbrightacademy.com/blog/svn-vs-git/

For me: it is Git (Sure, Github)
***
SVN: Basic Work Cycle: Simple Commands

http://svnbook.red-bean.com/en/1.0/ch03s05.html

SVN (Subversion): A simple workflow
"

  1. update to merge the latest changes from the server into your working copy;
  2. Perform whatever modifications you need to do;
  3. update again to make sure you’re up to date (you can skip this and the next step will fail if you’re not up to date);
  4. commit to push your changes to the server.

"
https://stackoverflow.com/questions/40349505/svn-pushing-changes

SVN Commit
http://svnbook.red-bean.com/en/1.8/svn.ref.svn.c.commit.html

SVN GUI Tool for MAC:
SvnX
https://www.switchingtomac.com/tutorials/general-software/get-started-with-subversion-using-svnx/

For Windows: TortoiseSVN

For Mac and Linux/Unix: command line is also a pretty good choice.

*** . **** . *** . *** ***

Sayed Ahmed

BSc. Eng. in Comp. Sc. & Eng. (BUET)
MSc. in Comp. Sc. (U of Manitoba, Canada)
MSc. in Data Science and Analytics (Ryerson University, Canada)
Linkedin: https://ca.linkedin.com/in/sayedjustetc

Blog: http://Bangla.SaLearningSchool.com, http://SitesTree.com
Online and Offline Training: http://Training.SitesTree.com
FB Group on Learning/Teaching: https://www.facebook.com/banglasalearningschool
Our free or paid events on IT/Data Science/Cloud/Programming/Similar: https://www.facebook.com/justetcsocial

Get access to courses on Big Data, Data Science, AI, Cloud, Linux, System Admin, Web Development and Misc. related. Also, create your own course to sell to others. http://sitestree.com/training/

If you want to contribute to the operation of this site (Bangla.SaLearn) including occasional free and/or low cost online/offline training: http://Training.SitesTree.com (or charitable/non-profit work in the education/health/social service sector), you can financially contribute to: safoundation at salearningschool.com using Paypal or Credit Card (on http://sitestree.com/training/enrol/index.php?id=114 ).

Math/Stat/CS/DS Topics that you need to know (with Cognitive, Psychomotor, Affective domain skills) to become a true and great Data Scientist

"The core topics are cross-validation, shrinkage methods (ridge regression, the LASSO, etc.), neural networks, gradient boosting, separating hyperplanes, support vector machines, basis expansion and regularization (e.g., smoothing splines, wavelet smoothing, kernel smoothing), generalized additive models, bump hunting, multivariate adaptive regression splines (MARS), self-organizing maps, mixture model-based clustering, ensemble learning, and p>>n problems. For computing, the R software will be used as well as either Julia or Python."

"Multivariate distributions: Normal, Wishart, T2 and others; regression, correlation, factor analysis, general linear hypothesis."

"Maximum Likelihood Estimation, Cramer-Rao bound, Likelihood Ratio tests, Multi-parameter likelihood methods, Sufficient Statistics, Completeness and MVUE, Exponential Family, Functions of parameters, Uniformly Most Powerful Tests, Generalized likelihood ratio tests, Quadratic forms, Analysis of variance, Introduction to Bayesian Inference"

"general linear model. Applied regression analysis. Incomplete block designs, intra- and inter-block analysis, factorial designs. Random and mixed models. Distribution theory, hypothesis testing, computational techniques."

"Stationary, auto-regressive and moving-average series, Box-Jenkins methods, trend and seasonal effects, tests for white noise, estimation and forecasting methods, introduction to time series in the frequency domain."

"multivariate latent variable models which assume low dimensional latent variable structures for the data. Multivariate statistical methods including Principal Component Analysis (PCA), and Partial Least Squares (PLS) are used for the efficient extraction of information from large databases typically collected by on-line process computers. These models are used for the analysis of process problems, for on-line process monitoring, and for process improvement"

"Searching, optimization, online search agents. Constraint satisfaction. Knowledge, Reasoning and Planning: Logic and Inference, Planning and Acting, Knowledge Representation. Knowledge and Reasoning with Uncertainty. Machine learning problems, training and testing, overfitting. Modelling strategies: data preprocessing, overfitting and model tuning. Measuring predictor importance. Factors that Can Affect Model Performance. Feature selection. Measuring performance of classification models."

From the Contents on: https://academiccalendars.romcmaster.ca/content.php?catoid=39&navoid=8149

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version control with subversion

"Version Control with

Subversion

Introduction

" Version Control with Subversion, a free book about the ubiquitous Apache™ Subversion® version control system "

published by O’Reilly Media.

Online Versions of the Book

"

For Subversion 1.7



*** *** ***

Sayed Ahmed

BSc. Eng. in Comp. Sc. & Eng. (BUET)
MSc. in Comp. Sc. (U of Manitoba, Canada)
MSc. in Data Science and Analytics (Ryerson University, Canada)
Linkedin: https://ca.linkedin.com/in/sayedjustetc

Blog: http://Bangla.SaLearningSchool.com, http://SitesTree.com
Online and Offline Training: http://Training.SitesTree.com
FB Group on Learning/Teaching: https://www.facebook.com/banglasalearningschool
Our free or paid events on IT/Data Science/Cloud/Programming/Similar: https://www.facebook.com/justetcsocial

Get access to courses on Big Data, Data Science, AI, Cloud, Linux, System Admin, Web Development and Misc. related. Also, create your own course to sell to others. http://sitestree.com/training/

If you want to contribute to the operation of this site (Bangla.SaLearn) including occasional free and/or low cost online/offline training: http://Training.SitesTree.com (or charitable/non-profit work in the education/health/social service sector), you can financially contribute to: safoundation at salearningschool.com using Paypal or Credit Card (on http://sitestree.com/training/enrol/index.php?id=114 ).