Category Archives: Career Planning

List of Machine Learning Topics for Learning

List of machine learning topics for learning

Are you looking for a list of machine learning topics to learn more about? If so, you’ve come to the right place. In this post, we will share a variety of machine learning topics that you can explore to boost your knowledge and skills. So, whether you’re a data scientist or machine learning engineer, there’s something here for everyone. The following represents a list of topics which can be taken up for learning and mastering artificial intelligence / machine learning: Introduction to data science Introduction to machine learning Check out this detailed post on machine learning concepts & examples. Introduction to deep learning Introduction to reinforcement learning Introduction to linear …

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

Sequence Models Quiz 1 – Test Your Understanding

interview questions for machine learning

Sequence modeling is extremely important for data scientists as it can be used in a variety of real-world applications. Sequence modeling is used in speech recognition, image recognition, machine translation, and text summarization. These are all important applications that data scientists must be familiar with. As a data scientist, it is important to have a good understanding of sequence modeling and how it can be used to solve real-world problems. In this blog, we’ll be looking at a quiz around sequence models, more specifically the different types of sequence models. This will help us understand how sequence models work and can be used in an interview situation. Before getting into …

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Posted in Career Planning, Data Science, Interview questions, Machine Learning.

Data Analyst Technical & Soft Skills

data analyst skills experience jobs salaries

Do you want to become a data analyst? It’s a great career choice! Data analysts are in high demand these days. Companies rely on data analysts to help them make better decisions by turning data into insights. In order to be successful, data analysts need a mix of technical skills and soft skills. Technical skills include expertise in analyzing data. Soft skills include communication and problem-solving skills. Data analysts must be able to take data and turn it into insights that help their company make better decisions. They also need to be able to effectively communicate those insights to people who may not have a technical background. In this blog …

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Posted in Big Data, Career Planning, Data, Data analytics, data engineering, Data Mining. Tagged with , .

100 Interview Questions for Deep Learning

Interview questions deep learning

If you’re looking for a job in deep learning, you’ll need to be prepared to answer some tough questions. In order to help you get started, we’ve put together a list of 100 interview questions for deep learning. While many of these questions are related to deep learning concepts, we have also listed several frameworks (Tensorflow, Pytorch, etc) related questions. By being prepared for these questions, you’ll be able to demonstrate your knowledge and expertise in this area, and increase your chances of landing the job! What is deep learning? How does machine learning differ from deep learning? What are the differences between shallow and deep learning? How does deep …

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

Code Quality Interview Questions for Software Developers

software code quality interview questions

Code quality concepts must be understood well by software developers to write a good quality code. Also, technical lead and technical architects must understand the code quality (or coding) concepts very well in order to review the code (termed as code review) and ensure that good quality software is delivered to the customer. Pictorially, the following represents some of the experiences that software developers, tech leads or technical architects go through while developing software or reviewing software code quality. Enjoy the pictures :).   Often code quality review of poorly written code results in lot of frustrations among project stakeholders. Thus, it is of utmost important to understand different nuances of writing …

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Posted in Interview questions, Software Engg, Software Quality. Tagged with , .

Who is a Data Scientist? Test your Knowledge

Interview questions

Do you know what a data scientist is? You may think you do, but take this quiz to find out for sure! Data scientists are essential to modern business and it’s important to know who they are and what they do. This quiz is just for fun, but it’s also a great opportunity to learn more about one of the most in-demand professions today. So put your data scientist knowledge to the test and see how well you really know this profession! And, feel free to share your thoughts if you disagree with the answer of any of the questions. Here are a few related posts on this topic: What …

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

Interns – Machine Learning Interview Questions & Answers: Set 1

interns machine learning interview questions and answers

This page lists down first set of machine learning / data science interview questions and answers for interns / freshers / beginners. If you are an intern or a fresher or a beginner in machine learning field, and, you are looking for some practice tests before appearing for your upcoming machine learning interview, these practice tests would prove to be very useful and handy. Machine Learning topics covered in Test In this set, some of the following topics have been covered: Machine learning fundamentals (Supervised and unsupervised learning algorithms) Different types of machine learning problems and related algorithms with examples Concepts related with regression, classification and clustering Practice Test (Questions …

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

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. Q1. 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 , , , .

85+ Free Online Books, Courses – Machine Learning & Data Science

Machine Learning Books

This post represents a comprehensive list of 85+ free books/ebooks and courses on machine learning,  deep learning, data science, optimization, etc which are available online for self-paced learning.  This would be very helpful for data scientists starting to learn or gain expertise in the field of machine learning / deep learning. Please feel free to comment/suggest if I missed mentioning one or more important books that you like and would like to share. Also, sorry for the typos. Following are the key areas under which books are categorized: Data science Pattern Recognition & Machine Learning Probability & Statistics Neural Networks & Deep Learning Optimization Data mining Mathematics Here is my post …

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Posted in Big Data, Books, Career Planning, Data Science, Deep Learning, Machine Learning, Online Courses. Tagged with , , , .

Machine Learning with Graphs: Free online course(Stanford)

what is machine learning

Are you interested in learning the concepts of machine learning with Graphs? Stanford University is offering a free online course in machine learning titled Machine Learning with Graphs (CS224W). The lecture videos will be available on Canvas for all the enrolled Stanford students. The lecture slides and assignments will be posted online as the course progresses. This class will be offered next in Fall 2022. After completing this course, you will be able to apply machine learning methods to a variety of real-world problems. The course titled Machine learning with Graphs, will teach you how to apply machine learning methods to graphs and networks. Complex data can be represented as …

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Posted in Machine Learning, Online Courses. Tagged with .

Linear Regression Interview Questions for Data Scientists

linear regression questions

This page lists down 40 regression (linear/univariate, multiple/multilinear/multivariate) interview questions  (in form of objective questions) which may prove to be helpful for Data Scientists / Machine Learning enthusiasts. Those appearing for interviews for machine learning/data scientist freshers/intern/beginners positions would also find these questions very helpful and handy enough to quickly brush up / check your knowledge and prepare accordingly. Practice Tests on Regression Analysis These interview questions are split into four different practice tests with questions and answers which can be found on following page: Linear, Multiple regression interview questions and answers – Set 1 Linear, Multiple regression interview questions and answers – Set 2 Linear, Multiple regression interview questions …

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

Most In-Demand Skills for Data Scientists in 2022

most in-demand data science skills

The data science field is growing rapidly and data scientists are in high demand. If you want to enter this field, it’s important that you have the right skills. In this blog post, we’ll explore the most in-demand skills of data scientist employers are looking for the most and how to develop these skills so that you can find a job as a data scientist. Strong knowledge and experience with Statistical/ML methods: Strong familiarity with statistical concepts such as probability distributions (e.g., normal distribution), concepts of hypothesis testing, regression analysis, etc is essential for becoming a great data scientist. One of the most important ask for a data scientist is …

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Posted in Career Planning, Data Science, Interview questions. Tagged with , .

Z-test MCQs with Answers: Interview Questions

Z-test MCQs with questions and answers

In this blog post, you can test your knowledge about Z-test, Z-statistics and related concepts through multiple choice questions (MCQs) and answers. Getting a good understanding of Z-tests, Z-statistics and Z-distribution is of utmost importance for data scientists at large. The following are key concepts around which the MCQs are posted: Z-score or Z-statistics concepts Estimation of population mean and proportion 1-sample Z-test for mean and proportion 2-samples Z-test for mean and proportion Z-test Interview Questions Samples The following is a list of interview questions that you would want to learn: What is Z-score? Explain with an example and formula. What are different types of Z-tests? Explain with formula and …

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Posted in Career Planning, Data Science, Interview questions, statistics. Tagged with , , .

15 Tricky DevOps Architect Interview Questions & Answers

DevOps Architect Interview Topics

DevOps and DevSecOps are two sides of the same coin. They both share some goals, but they also have their differences. It is important to understand what each one means so that you can implement them properly in your organization. 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 …

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

Normal Distributions Questions and Answers for Interviews

normal distribution with different means and standard deviations

In order to be successful in normal distribution interviews, you need a solid understanding of the normal distribution. This blog post will focus on normal distribution questions and answers that are commonly asked in the data science and statistics interviews. Before jumping into questions and answers, lets quickly understand what normal distribution is. What is normal distribution?  A normal distribution is a symmetric, bell-shaped curve that describes the distribution of many types of data. The normal distribution has two parameters, mean and standard deviation. It is important to know these two parameters because they are used to calculate probabilities associated with the normal distribution. The normal curve describes how data …

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Posted in Career Planning, Data Science, Interview questions, statistics. Tagged with , .

Free AI / Machine Learning Courses at Alison.com

free machine learning courses at alison

Are you interested in learning about AI / machine learning / data sicence and looking for free online courses? As per MANUELA M. VELOSO, Herbert A. Simon University Professor at CMU,Machine Learning (ML) is a fascinating field of Artificial Intelligence (AI) research and practice where  we investigate how  computer agents can improve their perception, cognition, and action  with experience. Machine Learning is about machines improving from  data, knowledge, experience, and interaction. Machine Learning  utilizes a variety of techniques to intelligently handle large and complex amounts of  information build upon foundations  in many disciplines, including  statistics, knowledge representation, planning and control, databases, causal inference, computer systems, machine vision, and natural  language …

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Posted in AI, Career Planning, Data Science, Deep Learning, Machine Learning, Online Courses. Tagged with , , .