In this tutorial, you'll learn about Backus–Naur form notation (BNF), which is typically used for defining the grammar of programming languages. Python uses a variation of BNF, and here, you'll learn how to read it to get a better understanding of some
of data science and want to see machine learning in action and explore its real-world application. Prior knowledge of Python programming and mathematics is must with basic knowledge of machine learning concepts. What You Will Learn Learn to write clean and elegant Python code that will optimize ...
Gain practical and theoretical understanding of cutting-edge deep learning algorithms * [*]Solve unique tasks by building models * [*]Get grips on the machine learning design process Who this book is for: This title is for data scientist and researchers who are already into the field of data...
theoretical understanding of cutting-edge deep learning algorithms Solve unique tasks by building models Get grips on the machine learning design process In Detail Machine learning and predictive analytics are becoming one of the key strategies for unlocking growth in a challenging contemporary marketplace...
Due to the diverse capabilities of such ML models, whose accuracy varies based on data and region, the development of [Math Processing Error] prediction methods and understanding of their predicted uncertainties is an ongoing research area. Recently, deep learning (DL) models have become ...
During this meeting, we discuss the product’s target audience, goals, and conditions of use. The key here is to come to a mutual agreement and understanding. The discovery phase is essential because both parties are encouraged to ask questions about the project and make sure that everyone is...
ll build your own game engine in Metal where you can create 3D scenes and build your own 3D games. This book is for intermediate Swift developers interested in learning 3D graphics or gaining a deeper understanding of how game engines work. Topics Covered in Metal by Tutorials The Rendering ...
Visualizing and understanding convolutional networks[C]//European conference on computer vision. Springer, Cham, 2014: 818-833. [21] Szegedy C, Liu W, Jia Y, et al. Going deeper with convolutions[C]//Proceedings of the IEEE conference on computer vision and pattern recognition. 2015: 1-9....
hypothesis and cognitive parameters. An online assessment system usually provides a score to quantify the performance of the learner. The proposed learner assessment system will provide a deeper understanding of what cognitive factors influenced the learner’s performance and provide personalized feedback....