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  • Authors: Gnana Lakshmi T C , Madeleine Shang
  • Authors: Satish Jain
  • Authors: T Ghosh, S K B Math

 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

Key Features
● Access to industry-recognized AI methodology and deep learning mathematics with simple-to-understand examples.
● Encompasses MDP Modeling, the Bellman Equation, Auto-regressive Models, BERT, and Transformers.
● Detailed, line-by-line diagrams of algorithms, and the mathematical computations they perform.

Price ₹1,099.00