Category Archives: Career Planning

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 , , , .

How to become a Data Analyst? Skills & Experience

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, and with the right skills, you can make a good living doing something you love. In this blog post, we will discuss the skills required for data analysis, and provide some tips on how to acquire them. We will also recommend some courses and books that can help you get started on your data analyst career path! What is data analysis and what do data analysts do? Data analysis is the process of inspecting, cleansing, transforming, and creating data visualizations with the goal of discovering useful information, suggesting conclusions, and supporting …

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

Overfitting & Underfitting in Machine Learning

Overfitting and underfitting represented using Model error vs complexity plot

The performance of the machine learning models depends upon two key concepts called underfitting and overfitting. 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 your 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 an independent and identically distributed (I.I.d) dataset, when the prediction error on both the training and validation dataset is …

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

Bias-Variance Trade-off Concepts & Interview Questions

Bias variance concepts and interview questions

Bias and variance are two important properties of machine learning models. In this post, you will learn about 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. The tradeoff between bias and variance is a fundamental problem in machine learning, and it is often necessary to experiment with different model types in order to find the balance that works best for a given dataset. In addition to learning the concepts related to Bias vs variance trade-off, you would …

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

12 Weeks Free course on AI: Knowledge Representation & Reasoning (IIT Madras)

IIT madras free course ai knowledge representation

Are you interested in learning about exploring a variety of representation formalisms and the associated algorithms for reasoning in Artificial intelligence? IIT Madras is going to offer a free online course on AI: knowledge representation and reasoning. This course will help you understand the basics of knowledge representation and reasoning. You’ll learn how to solve problems using logic, how to build intelligent systems that can interpret natural language, reason using formal methods and more. The course is taught by Professor Deepak Khemani, who has over 20 years of experience teaching at IIT Madras. Prof. Khemani is a Professor at Department of Computer Science and Engineering. He’s also written several books …

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12 Weeks Free Course on IOT by IIT Kharagpur

Online course on IoT

Are you interested in learning about the Internet of Things (IoT)? The Internet of Things (IoT) is the network of physical objects or “things” embedded with electronics, software, sensors and connectivity to enable objects to exchange data. IoT allows devices such as heart monitoring implants, biochip transponders on farm animals and cars to communicate to other devices using IP addresses over the Internet without requiring human-to-human or human-to-computer interaction. It enables everyday objects to collect and exchange data. This course will help you learn about the fundamentals of IoT technology. IIT khargpur offers 12 weeks free online course on IOT. The course is designed to help students understand the fundamentals …

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Posted in Career Planning, IOT, Online Courses. Tagged with , .

NIT Warangal offers one-week online training on AI, Machine Learning

NIT Warangal one week course on AI and machine learning

Are you interested in learning about AI and Machine Learning, or refresing your concepts? NIT Warangal offers one-week online paid training (minimal fees) on AI, Machine Learning. This program is a great opportunity for students to learn about AI & machine learning basics and advanced concepts. It is organized by the Department of Electronics and Communication Engineering & Department of R&D in association with Center of Continuing Education. It will be taught by experience professors who have years of experience in their respective fields. The course will take place between 30th November to 4th December 2021, and it is open to all Faculty/ Research Scholars/Industry professionals/ and other eligible students …

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

Support Vector Machine (SVM) Interview Questions

neural networks interview questions

Support Vector Machine (SVM) is a machine learning algorithm that can be used to classify data. SVM does this by maximizing the margin between two classes, where “margin” refers to the distance from both support vectors. SVM has been applied in many areas of computer science and beyond, including medical diagnosis software for tuberculosis detection, fraud detection systems, and more. This blog post consists of quiz comprising of questions and answers on 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/ …

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

AI Product Manager Interview Questions

interview questions for machine learning

AI has become such an integral part of our lives that it is important to hire professionals who can help create AI / machine learning products that will be used by many people. These AI product manager interview questions will give you insight into your candidate’s experience, skills, and industry knowledge so that you can get prepared in a betterinterma manner before appearing for your next interview as an AI product manager. Check out a detailed interview questions and answers with greater focus on machine learning topics. Here are some interview questions that you can get when you are appearing for AI / Machine learning (ML) product manager (PM) job: …

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