Coding Theory Algorithms, Architectures, And Applications

Innovations in Computing Sciences and Software Engineering includes a set of rigorously reviewed world-class manuscripts addressing and detailing state-of-the-art research projects in the areas of Computer Science, Software Engineering, Computer Engineering, and Systems Engineering and Sciences.

Innovations in Computing Sciences and Software Engineering includes a set of rigorously reviewed world-class manuscripts addressing and detailing state-of-the-art research projects in the areas of Computer Science, Software Engineering, Computer Engineering, and Systems Engineering and Sciences.

Learn Natural Language Processing using Spacy, NLTK, PyTorch, Text Pre-Processing, Embeddings, Word2Vec & Deep Learning

Leverage the power of Tensorflow to Create powerful software agents that can self-learn to perform real-world tasks

Learn Deep learning practically from scratch using Python

Object Detection for Computer Vision using Deep Learning with PyTorch & Python. Train & Deploy Models (Detectron2, RCNN)

After "A Mathematical theory of communication" by C. E. Shannon, the 'Coding Theory' has begun its tremendous development as interface between Engineering, Computer Science and Mathematics.

Computer Vision with Python using Deep Learning for Classification, Instance & Semantic Segmentation, & Object Detection