Category Archives: Career Planning

Bias-Variance Trade-off Concepts & Interview Questions

Bias variance concepts and interview questions

Bias vs variance tradeoff is a big problem machine learning models face. In this post, you will learn about the the concepts of bias & variance in relation to the machine learning (ML) models. Bias refers to how well your model can represent all possible outcomes, whereas variance refers to how sensitive your predictions are to changes in the model’s parameters. In addition to learning the concepts related to Bias vs variance trade-off, 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 …

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Overfitting & Underfitting Concepts & Interview Questions

Overfitting and underfitting represented using Model error vs complexity plot

Machine learning models are built to learn from training and test data and make predictions on new, unseen data set. The machine learning model is said to overfit the data when it learns patterns that exist only in the training set make prediction with high accuracy. On the other hand, machine learning model underfits if it cannot find any pattern or relationship between variables in both training and testing data sets. 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 …

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Data Analytics – Different Career Options / Opportunities

data analytics career options

Data analytics career paths span a wide range of career options, from data scientist to data engineer. Data scientists are often interested in what they can do with the data that is analyzed, while data engineers are more focused on the analysis itself. Whether you’re looking for a career as a data scientist, data analyst, ML engineer, or AI researcher, there’s something for everyone! In this blog post, we will different types of jobs and careers available to those interested in data analytics and data science. What are some of the career paths in data analytics? Here are different career paths for those interested in data analytics career: Data Scientists: …

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Posted in AI, Career Planning, Data analytics, data engineering, Data Science, Machine Learning. Tagged with , , , .

Top 50 Interview Questions for Beginner Data Scientists

interview questions for machine learning

What interview questions should a beginner data scientist prepare for? This is an important question that many interviewees have. If you are going for a data scientist interview and don’t know what interview questions will you be asked, this blog post has some of the common interview questions that will help you excel in your interview. These interview questions are perfect for beginners because they cover basic topics about data science and machine learning and how it works. We hope this list helps! What is the difference between AI, machine learning, deep learning? Do you know how machine learning works? How is machine learning different from statistical modeling techniques like linear …

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50+ Machine learning & Deep learning Youtube Courses

In this post, you get an access to curated list of 50+ Youtube courses on machine learning, deep learning, NLP, optimization, computer vision, statistical learning etc. You may want to bookmark this page for quick reference and access to these courses. This page will be updated from time-to-time. Enjoy learning! Course title Course type URL MIT 6.S192: Deep Learning for Art, Aesthetics, and Creativity Deep learning https://www.youtube.com/playlist?list=PLCpMvp7ftsnIbNwRnQJbDNRqO6qiN3EyH AutoML – Automated Machine Learning AutoML https://ki-campus.org/courses/automl-luh2021 Probabilistic Machine Learning Machine learning https://www.youtube.com/playlist?list=PL05umP7R6ij1tHaOFY96m5uX3J21a6yNd Geometric Deep Learning Geometric deep learning https://www.youtube.com/playlist?list=PLn2-dEmQeTfQ8YVuHBOvAhUlnIPYxkeu3 CS224W: Machine Learning with Graphs Machine learning  https://www.youtube.com/playlist?list=PLoROMvodv4rPLKxIpqhjhPgdQy7imNkDn MIT 6.S897 Machine Learning for Healthcare Machine learning https://www.youtube.com/playlist?list=PLUl4u3cNGP60B0PQXVQyGNdCyCTDU1Q5j Deep Learning and Combinatorial Optimization Deep …

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

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 , , , .

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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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

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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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 , .