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  • Authors: Dr. Sudip Sharma
  • Authors: Dr Anand Nayyar
  • Authors: Gnana Lakshmi T C , Madeleine Shang
  • Authors: Satish Jain
  • Authors: V.N.NIGAM

 You will be introduced to Supervised Learning algorithms and Unsupervised Learning algorithms and the difference between them. We will focus on learning supervised machine learning algorithms covering Linear Regression, Logistic Regression, Support Vector Machines, Decision Trees and Artificial Neural Networks. For each of these algorithms, you will work hands-on with open-source datasets and use python programming to program the machine learning algorithms. 

Price ₹799.00

 This chapter explains how to select object and change with the selection tool. The focus of this chapter is modifying individual paths by cutting, combining and adjusting them. Chapter 5- Describes the working with Color, Gradient and Mesh. It explains how to use Color, Swatches and Stroke panels as well as how to create and edit gradients. 

Price ₹270.00

The book primarily aims to present testing concepts, principles, practices, methods cum approaches used in practice. The book will help the readers to learn and detect faults in software before delivering it to the end user. The book is a judicious mix of software testing concepts, principles, methodologies, and tools to undertake a professional course in software testing. The book will be a useful resource for students, academicians, industry experts, and software architects to learn artefacts of testing.

Price ₹499.00