19 Basic Machine Learning Interview Questions and Answers

machine learning interview questions and answers

There are several companies who hire data engineers or data scientists to make their data more reliable and secure; and for that purpose they use machine learning. The companies may hire number of engineers who are data analyst, machine learning engineers, deep learning engineer. All these posts are of similar job nature. The employer can … Read more

Linear Algebra in TensorFlow (Scalars, Vectors & Matrices)

Linear Algebra in TensorFlow

Linear Algebra in TensorFlow: TensorFlow is open source software under Apache Open Source license for dataflow which is frequently being used for machine learning applications like deep-neural-network to improve the performance of search engines, such as, Google, image captioning, recommendation and translation. For example, when a user types a keyword in Google’s search bar, it … Read more

Scalars, Vector and Matrices in Python (Using Arrays)

Arrays in Python to Work with Scalars, Vector and Matrices

Arrays in python, are frequently used to work with scalars, vectors and matrices, a topic of today’s post. This post is continuation of linear algebra for data science. We use NumPy, a library for the python programming which allows us to work with multidimensional arrays and matrices along with a large collection of high-level mathematical … Read more

Linear Algebra for Data Science

linear algebra for data science

Linear Algebra for Data Science and machine learning is very essential as the concepts of linear algebra are used to understand the working of algorithms. In this post, we are going to discuss the basic concepts of linear algebra. Why Linear Algebra? Enormous datasets mostly contain hundreds to a large number of individual data objects. … Read more

Logistic Regression (Python) Explained using Practical Example

logistic regression python example

Logistic Regression is a predictive analysis which is used to explain the data and relationship between one dependent binary variable and one or more nominal, ordinal, interval or ratio-level independent variables. It is mostly used in biological sciences and social science applications. For instance, predict whether received email is spam or not. Similarly, predict whether … Read more

How to install Anaconda (Python Distribution) on Windows

How to install Anaconda (Python Distribution) on Windows

Anaconda Installation and setup guide for Windows. You will learn how to install Python on windows, step by step. Anaconda is most widely used open source distribution to perform Python/R for data science and machine learning. Data Scientists can easily analyze the data and visualize the results by using Python/R. Anaconda Download Link How to … Read more

42 Must Know Data Science Interview Questions and Answers

data science interview questions

To get the Data Scientist job, you must have grip on practical as well as theoretical knowledge of data science. You should be fully prepared before going through interview. For your convenience, we have gathered 42 data science interview questions and their answers. These will enable you grab the basic concepts of data science. Further … Read more

Different Types of Probability Distribution (Characteristics & Examples)

different types of probability distribution

What is distribution? A distribution represent the possible values a random variable can take and how often they occur. Mean – it represent the average value which is denoted by µ (Meu) and measured in seconds. Variance – it represent how spread out the data is, denoted by σ2 (Sigma Square). It is pertinent to … Read more

Probability for Data Science

Probability for data science

Probability is simply defined as a chance of something happening or the likelihood of an event is to happen. Probability played a vital role in decision making that’s why companies’ executives based on it before going to take any decision prior to investment. Probability for Data Science An event can be likely or unlikely and … Read more