Category Archives: Career Planning

Support Vector Machine (SVM) Interview Questions – Set 1

neural networks interview questions

This quiz consists of questions and answers on Support Vector Machine (SVM). This is a practice test (objective questions and answers) that can be useful when preparing for interviews. The questions in this and upcoming practice tests could prove to be useful, primarily, for data scientists or machine learning interns/freshers/beginners. The questions are focused on some of the following areas: Introduction to SVM Types of SVM such as maximum-margin classifier, soft-margin classifier, support vector machine Some of the key SVM concepts to understand while preparing for the machine learning interviews are following: SVM concepts and objective functions SVM kernel functions, tricks Concepts of C and Gamma value Scikit learn libraries for …

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Data Science Architect Interview Questions

interview questions

In this post, you will learn about interview questions that can be asked if you are going for a data scientist architect job. Data science architect needs to have knowledge in both data science/machine learning and cloud architecture. In addition, it also helps if the person is hands-on with programming languages such as Python & R. Without further ado, let’s get into some of the common questions right away. I will add further questions in the time to come. Q. How do you go about architecting a data science or machine learning solution for any business problem? Solving a business problem using data science or machine learning based solution can …

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Posted in Career Planning, Data Science, Enterprise Architecture, Interview questions, Machine Learning. Tagged with , , , .

Bias & Variance Concepts & Interview Questions

Bias variance concepts and interview questions

In this post, you will learn about the the concepts of bias & variance in relation to the machine learning (ML) models. In addition to learning the concepts, you would also get a chance to take quiz which would help you prepare for data scientists / ML Engineer interviews. As data scientists / ML Engineer, you must get a good understanding of Bias and Variance concepts in order to build models that generalizes in a better manner or have lower generalization error. Bias & Variance of Machine Learning Models Bias of the model, intuitively speaking, can be defined as affinity of the model to make predictions or estimate based on only …

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Machine Learning Free Course at Univ Wisconsin Madison

Dr Sebastian Raschka Machine Learning Course

In this post, you will learn about the free course on machine learning (STAT 451) recently taught at University of Wisconsin-Madison by Dr. Sebastian Raschka. Dr. Sebastian Raschka in currently working as an assistant Professor of Statistics at the University of Wisconsin-Madison while focusing on deep learning and machine learning research. The course is titled as “Introduction to Machine Learning”. The recording of the course lectures can be found on the page – Introduction to machine learning. The course covers some of the following topics: What is machine learning? Nearest neighbour methods Computational foundation Python Programming (concepts) Machine learning in Scikit-learn Tree-based methods Decision trees Ensemble methods Model evaluation techniques Concepts of …

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Overfitting & Underfitting Concepts & Interview Questions

Overfitting and underfitting represented using Model error vs complexity plot

In this post, you will learn about some of the key concepts of overfitting and underfitting in relation to machine learning models. In addition, you will also get a chance to test you understanding by attempting the quiz. The quiz will help you prepare well for interview questions in relation to underfitting & overfitting. As data scientists, you must get a good understanding of the overfitting and underfitting concepts.  Introduction to Overfitting & Underfitting Assuming independent and identically distributed (I.I.d) dataset, when the prediction error on both the training and test dataset is high, the model is said to have underfit. This is called as underfitting the model or model …

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Posted in Data Science, Interview questions, Machine Learning. Tagged with , , .

MIT Free Course on Machine Learning (New)

MIT Free Course on Machine Learning

In this post, the information regarding new free course on machine learning launched by MIT OpenCourseware. In case, you are a beginner data scientist or ML Engineer, you will find this course to be very useful.  Here is the URL to the free course on machine learning: https://bit.​ly/37iNNAA. This course, titled as Introduction to Machine Learning, introduces principles, algorithms, and applications of machine learning from the point of view of modeling and prediction. It includes formulation of learning problems and concepts of representation, over-fitting, and generalization. These concepts are exercised in supervised learning and reinforcement learning, with applications to images and to temporal sequences. Here are some of the key topics for which lectures can be found: …

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Posted in Career Planning, Data Science, Machine Learning, Tutorials. Tagged with , , .

500+ Machine Learning Interview Questions

machine learning interview questions

This post consists of all the posts on this website in relation to interview questions / quizzes related to data science / machine learning topics.  These questions can prove to be helpful for the following: Product managers Data scientists Product Managers Interview Questions Find the questions for product managers on this page – Machine learning interview questions for product managers Data Scientists Interview Questions Here are posts representing 500+ interview questions which will be helpful for data scientists / machine learning engineers. You will find it useful as practise questions and answers while preparing for machine learning interview. Decision tree questions Machine learning validation techniques questions Neural networks questions – …

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Free MIT Course on Machine Learning for Healthcare

machine learning and healthcare MIT free course

In this post, you will get a quick overview on free MIT course on machine learning for healthcare. This is going to be really helpful for machine learning / data science enthusiasts as building machine learning solutions to serve healthcare requirements comes with its own set of risks. It will be good to learn about different machine learning techniques, applications related disease progression modeling, cardiac imaging, pathology etc, risks and risk mitigation techniques. Here is the link to the course – Machine Learning for Healthcare Here are the links to some of the important course content: Video lectures Lecture notes (PDF) The entire course material can be downloaded from this page – …

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Product Manager – Machine Learning Interview Questions

product manager interview questions for machine learning

In this post, you will learn about some of the interview questions which can be asked in the AI / machine learning based product manager / business analyst job.  Some of the questions listed in this post can also prove to be useful for the interview for the job position of director  or vice president, product management. The interview questions can be categorized based on some of the following topics: Machine learning high level concepts Identifying a problem as machine learning problems Identifying business metrics vs value generation Feature engineering Working with data science team in model development lifecycle Monitoring model performance Model performance metrics presentation to key stakeholders Setting up …

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Posted in Interview questions, Machine Learning, Product Management. Tagged with , , .

Yann LeCun Deep Learning Free Online Course

Yann LeCun Deep Learning Course Free Online Course

This post is about listing down free online course materials for deep learning (PyTorch) by none other than Yann LeCun.  Here are some useful links to the deep learning course: Deep Learning course – Homepage Deep learning lecture slides Github pages having Jupyter notebooks having PyTorch code Lectures slides, notebooks and related YouTube videos can be found on the deep learning (DL) course home page. It is a 14 week course and covers different topics such as following: Introduction to deep learning (What DL can do, what are good features / representations) Gradient descent and back propagation algorithm Artificial neural networks Convolution neural networks (Convnets) and related applications Regularization / Optimization …

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Posted in Career Planning, Deep Learning, Machine Learning. Tagged with , , , , .

Flutter Interview Questions for Beginners #1

flutter quiz time

This post is aimed to test your understanding on very basics of Flutter app development using most fundamental questions. It covers some of the following Flutter topics: Basic understanding of widgets and elements Basic understanding of stateful and stateless widgets

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GitFlow Workflow Best Practices & Quiz Questions

Gitflow Workflow - Master, Release, Develop, Feature

In this post, you will learn about some of the best practices in relation to managing your development and production releases using GitFlow Workflow. There will be a master branch which is called as an official repository. Forking a develop branch of the master: To start with, we will fork off another branch of the master which we may call as “develop”. This branch will act as an integration branch for features branches. NOTE: feature in features branches does not represent the features in machine learning. “Develop” branch will act as a parent to the feature branches. This means that developers would fork from “develop” branch and their changes are merged back into “develop” branch. In real-world scenarios, …

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15 Tricky DevOps Architect Interview Questions & Answers

DevOps Architect Interview Topics

In this post, you will learn about some of the questions (and answers) which could be asked in the DevOps Architect interview. The following are some of the topics you might want to cover for doing interview preparation for DevOps Architect position: DevOps & DevSecOps concepts Setting up DevOps implementation DevOps reference architecture DevOps reference implementation Continuous delivery concepts & reference architecture Technologies (Tools s& Frameworks) Here is a related diagram on topics which are useful for DevOps architect interview preparation. DevOps Architect Interview Q&A The following are some of the interview questions and answers for DevOps Architect: What is DevOps or DevSecOps? Ans: DevOps or DevSecOps can be defined …

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Posted in Architecture, Career Planning, DevOps, Interview questions. Tagged with , .

Learning Blockchain – Free Online Courses & Training – 1

learning blockchain technology

This is the first blog representing a series of posts on enabling you to learn Blockchain online. Such posts would also represent some interesting projects for you to learn the different aspects of Blockchain implementation. This post is aimed to represent some links in relation to learning Blockchain concepts vis-a-vis free online courses, training. (Learning) Center for Blockchain Research (CBR) by Stanford: The following are free textbook and Coursera course on Cryptography: Free online Cryptography course on Coursera Free online textbook on applied cryptography (Case Study) Distributed Contracting Blockchain Network by Microsoft & EY: The diagram below demonstrates the following different aspects of blockchain: Permissioned blockchain registering entertainment, gaming industry …

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Kerala to lead Blockchain Training in India

kerala blockchain training India

Kerala becomes the first Indian state to set up a goal of providing Blockchain training creating to IT community stakeholders (primarily students) and create 25000 Blockchain professionals in 3 years time frame. They have designed a program called ABCD (Accelerated Blockchain Competency Development) Programme which comprise of courses such as following: Foundation training programme aimed to provide training in skills such as HTML, MEAN stack, GoLang etc. This programme comprises of 82 Hrs of classroom training and around 42 Hrs on self-learning activities (total of 124 hrs over a period of 6 months for students, 1 month for graduates and 6 weeks for working professionals). The course fee is Rs. …

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Lessons on Blockchain & Cryptocurrency for MBA Students

blockchain lessons for MBA students

Given that both, financial and non-financial businesses are trying to figure out how they could use Blockchain to impact their business in a positive manner, it is becoming imperative for MBA students to learn the basics of Blockchain & related technologies. The following are some of the topics which could be included in the course-curriculum for MBA courses related to Blockchain and cryptocurrency. Blockchain fundamentals Distributed ledger technology (DLT) Types of Blockchains (public, private/permissioned) Terminologies such as a unit of value, transaction, a block of transaction Consensus algorithms Authentication mechanisms for permissioned blockchain Blockchain platforms such as Ethereum, Hyperledger, Corda, EOS, Multichain etc. Smart Contracts Cryptocurrency – Bitcoin, Ether & Others Hard forks such as Bitcoin Cash Cryptocurrency exchanges Initial …

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