Reading Time: 3 minutes In this blog we are going to learn about some of the key Big Query DML statements. Data plays an integral part in any organisation. With the data-driven nature of modern organisations, almost all businesses and their technological decisions are based on the available data. Let’s assume that we have an application distributed across multiple servers in different regions of a cloud service provider, and Continue Reading
Reading Time: 3 minutes Natural Language Processing or NLP is now one of the most important machine learning techniques that one AI/ML practitioner should possess. It the current world we can see a vast use of NLP implementations. Such as text reading, number plate reading,email spam filtering, predictive text and so on. In this blog we are going to see some key things to know, in order to implement Continue Reading
Reading Time: 2 minutes In this blog we will see the use of TensorFlow graphics on three dimensional objects. So what is computer graphics? Computer Graphics is a sub-field of computer science which studies methods for digitally synthesising and manipulating visual content. Today Computer graphics is a core technology used in films, games, videos, phones, computer display etc. It has evolved overs the years, today you can make amazing Continue Reading
Reading Time: 3 minutes In this blog we are diving into a multiclass classification problem, and how you can make a good predictive model over an image data set. Classification is one of the most important practice among the AI/ML practitioner. It it important to master this skill as in real world see a lot of use of this. Ex: Tesla uses it to classification among with other models Continue Reading
Reading Time: 3 minutes Introduction: As you might know, Neural networks reflect the behaviour of the human brain, allowing computer programs to recognise patterns and solve common problems in the fields of AI, machine learning, and deep learning. Neural networks are comprised of a node layers, containing an input layer, one or more hidden layers, and an output layer. Each node, or artificial neuron, connects to another and has Continue Reading
Reading Time: 4 minutes Many might have heard about openCV, and how you can do various image processing using this library. OpenCV is a huge open source library for computer vision, machine learning and image processing. It is something very interesting and any AI/ML enthusiast should definitely having a look on this library. Today, We are going to see an interesting usage of OpenCV, on how to make an Continue Reading
Reading Time: 4 minutes For any Data Scientist, its very normal to deal with data sets having missing terms and still be able to manage and create a good predictive model out of it. Here we will discuss some techniques to handle missing data in a given data set. Missing Value occur when no data is stored for a variable or feature. It could be represented as “?”, “NA”, Continue Reading
Reading Time: 4 minutes In this blog we will understand about the logistic regression and see its practical implementation on loan prediction. What is Logistic Regression? Logistic regression is a statistical and machine learning technique for classifying records of a data set based on the values of the input fields. Let’s say we have a loan data set that we’d like to analyse in order to understand which customers might be Continue Reading
Reading Time: 3 minutes This article is for Scala programmers who are curious about the next features in Scala 3. In this, we are discussing particularly Match Type. Pattern Matching is one of the most powerful construct tools in Scala. One can say it is a powerful form of switch statements of Java or C++. We will get to know what are the advancement done in Scala 3 from Continue Reading
