Author Archives: Ajitesh Kumar
Blockchain Usecase – Air Cargo Industry (Supply-chain)
Blockchain is being aggressively pursued by business owners and technology / business evangelists in order to determine if it would help business grow in addition to bringing competitive edge as a result of technology benefits provided by the Blockchain. Recently, a Blockchain proof-of-concept (POC) is successfully completed by Dnata, a provider of air and travel services in the Middle East. They evaluated the Blockchain potential in Dubai Air Cargo industry. The following company participated in the Blockchain POC: DNata flydubai Cargo IBM Blockchain Technology Benefits As a result of Blockchain POC, following benefits were realized: Elimination of redundant data Enhance visibility and transparency for all stakeholders Business Goal vis-a-vis Business …
Chief Robotics Officer (CRO) – Roles and Responsibilities
If your organization depends on supply chain management (SCM) or you are a manufacturing / logistics company, sooner than later, you would be needing smart machines and robotics to manage one or more business processes. And, given AI and robotics technology trends, the need for robotics to improve supply chain / manufacturing business processes by managing the blend of human and robotics / automated workers, is only going to increase in time to come. This would essentially mean that management would require to strategize appropriately to make best use of robotics / smart machines technologies in order to manage robotics workers in supply chain processes. This would require elevation of …
Martin Ford on Impact of AI & Robots on Society
This is a featured post on (Martin Ford), a futurist and author focusing on the impact of artificial intelligence (AI) and robotics on society and the economy. What Martin Ford has been saying / talking about? Here are some news feeds on Martin Ford which features his thoughts on AI and related topics: Who’s enjoying fruits of Innovation: In this article, he pointed out that AI is benefitting business owners, managers and investors more than the average workers. Earlier, workers knowing how to operate machines used to make them valuable enough to help them earn their livelihood. In the current age, machines are becoming autonomous and moving ahead in the …
70 Regression Analysis Interview Questions & Practice Tests
This page lists down practice tests (questions and answers), links to PDF files (consisting of interview questions) on Linear / Logistic Regression for machine learning / data scientist enthusiasts. These questions can prove to be useful, especially for machine learning / data science interns / freshers / beginners to check their knowledge from time-to-time or for upcoming interviews. Practice Tests on Linear / Multilinear Regression These are a set of four practice tests (consisting of 40 questions) covering linear (univariate) and multilinear (multivariate) regression in detail. Linear, Multiple regression interview questions and answers – Set 1 Linear, Multiple regression interview questions and answers – Set 2 Linear, Multiple regression interview …
Logistic Regression Interview Questions & Practice Tests
This page lists down a set of 30 interview questions on Logistic Regression (machine learning/data science) in form of objective questions and also provides links to a set of three practice tests that would help you test / check your knowledge on an ongoing basis. These questions and practice tests are intended to primarily help interns/freshers/beginners to help them brush up their knowledge in logistic regression from time to time. The following is a list of topics covered on this page. Introduction to logistic regression Logistic regression examples Evaluating performance of logistic regression and related techniques including AIC, deviance, ROC etc. Difference between linear and logistic regression Here is another post on …
OWASP 2017 Top 10 Web App Security Vulnerabilities
The following is a list of web application security vulnerabilities which made into the list of OWASP 2017 top 10 security vulnerabilities. Injection: Injection attack can lead to commands such as SQL, NoSQL, OS, LDAP executed by the related command interpretor resulting into execution of unintended commands thereby modifying the datasets or providing unauthorized access to the data. Broken authentication: Broken authentication attacks can lead to compromising passwords, keys or session tokens etc. Sensitive data exposure: Sensitive data exposure vulnerability would allow attackers to get an access to sensitive data such as identity related data (email address, mobile numbers), credit card related details etc. These data can be obtained from …
Top 6 IT Automation Framework for DevOps (2017-2018)
This page lists down top 6 IT automation framework which can be used to achieve DevOps goals in relation with IT automation. Chef: Chef claims to achieve speed, scale, and consistency by automating the infrastructure. Ansible: Open-source framework in order to scale automation, manage complex deployments and speed productivity. Puppet: Puppet claims to achieve IT automation in relation with delivering and operating software. CFEngine: Open-source light-weight automation fraemwork for automating large-scale, complex and mission critical IT infrastructure. It claims that it is known for its speed, stability, security and scalability. SaltStack: IT automation framework for DevOps RunDeck Trends for IT Automation Tools (2017) Below represents the trends of Chef, Puppet …
AWS Architects – Best Practices to build Efficient Systems
Here is a great resource (best practices and guidelines) which would help cloud architects (especially, AWS Solution architects) build the most secure, high-performing, resilient, and efficient infrastructure possible for their applications. That said, these cloud architecture whitepapers (pdf) would also prove helpful and useful for all kinds of cloud architects including Azure, Google Cloud, IBM, Oracle cloud etc. The following lists down the links for pages in related areas of interest: Operational excellence: Includes topics such as managing and automating changes, responding to events, and defining standards to successfully manage daily operations. Security: Includes aspects such as confidentiality and integrity of data, access-control, data audit etc Reliability: Includes topics such as recovery …
Architects – How to Calculate Service Availability Time?
This page lists down different aspects which can be considered by solution architects / technical architects / application architects on how to calculate service availability time. Given that microservices architecture style / cloud-native is adopted in modern age applications development, it would be good to know this piece of information. Service availability is commonly defined as the percentage of time that an application is operating normally. The following are different techniques which can be used to calculate service availability: Availability as function of MTBF and MTTR Availability with hard dependencies Availability with redundant components / services Service Availability as a function of MTBF and MTTR Service availability can be calculated based …
Top 4 Tutorials for Machine Learning Beginners
This page lists down top 4 video tutorials on machine learning for the year 2017. The tutorials is best suited for those who are very new (beginners / rookies) to the machine learning concepts. The video is primarily aimed to provide an introduction to machine learning. What is Artificial Intelligence (or Machine Learning)? What is machine learning and how to learn it ? The 7 Steps of Machine Learning Introduction to Machine Learning (MIT OpenCourseware)
Tutorials – Top 6 Linear Regression Tutorials for 2017
This page lists down top 6 machine learning tutorials (from Youtube) for the topic, Linear (Univariate) and Multilinear (Multivariate) regression from the perspective of most viewed / popularity. Following are the topics for these videos: How to Do Linear Regression using Gradient Descent Interpreting Output for Multiple Regression using SPSS R programming for beginners – statistic with R Linear Regression with Gradient Descent – Intelligence and Learning Linear Regression – Machine Learning Fun and Easy Linear Regression Algorithm | Linear Regression in R How to Do Linear Regression using Gradient Descent This tutorial video is posted on the channel Siraj Raval. They have got some real cool tutorial videos on …
Unit Testing Interview Questions – Set 1
This page lists down the practice tests / interview questions and answers for unit testing (general concepts) which applies for all programming languages. Those wanting to test their unit testing knowledge would find this test useful enough. The goal for this practice test is to help you do quick check of your knowledge in unit testing and prepare appropriately. More importantly, when you are preparing for interviews, these practice tests are intended to be handy enough. Those going for freshers / intern interviews in the area of programming language or for developer positions would also find these practice tests / interview questions to be very helpful. Following topics have been covered as part of …
Linear, Multiple Regression Interview Questions Set 4
This page lists down the practice tests / interview questions for Linear (Univariate / Simple Linear) / Multiple (Multilinear / Multivariate) regression in machine learning. Those wanting to test their machine learning knowledge in relation with linear/multi-linear regression would find the test useful enough. The goal for these practice tests is to help you check your knowledge in numeric regression machine learning models from time-to-time. More importantly, when you are preparing for interviews, these practice tests are intended to be handy enough. Those going for freshers / intern interviews in the area of machine learning would also find these practice tests / interview questions to be very helpful. This test primarily …
Linear, Multiple Regression Interview Questions Set 3
This page lists down the practice tests / interview questions for Linear (Univariate / Simple Linear) / Multiple (Multilinear / Multivariate) regression in machine learning. Those wanting to test their machine learning knowledge in relation with linear/multi-linear regression would find the test useful enough. The goal for these practice tests is to help you check your knowledge in numeric regression machine learning models from time-to-time. More importantly, when you are preparing for interviews, these practice tests are intended to be handy enough. Those going for freshers / intern interviews in the area of machine learning would also find these practice tests / interview questions to be very helpful. This test primarily …
Linear, Multiple Regression Interview Questions Set 2
This page lists down the practice tests / interview questions and answers for Linear (Univariate / Simple Linear) / Multiple (Multilinear / Multivariate) regression in machine learning. Those wanting to test their machine learning knowledge in relation with linear/multi-linear regression would find the test useful enough. The goal for these practice tests is to help you check your knowledge in numeric regression machine learning models from time-to-time. More importantly, when you are preparing for interviews, these practice tests are intended to be handy enough. Those going for freshers / intern interviews in the area of machine learning would also find these practice tests / interview questions to be very helpful. This …
Linear, Multiple Regression Interview Questions Set 1
This page lists down the practice tests / interview questions and answers for Linear (Univariate / Simple Linear) / Multiple (Multilinear / Multivariate) regression in machine learning. Those wanting to test their machine learning knowledge in relation with linear/multi-linear regression would find the test useful enough. The goal for these practice tests is to help you check your knowledge in numeric regression machine learning models from time-to-time. More importantly, when you are preparing for interviews, these practice tests are intended to be handy enough. Those going for freshers / intern interviews in the area of machine learning would also find these practice tests / interview questions to be very helpful. Note that …
I found it very helpful. However the differences are not too understandable for me