Machine Learning
The JNTUK Machine Learning online BITS Mid-2 details likely cover a range of topics related to machine learning. Based on the provided sources, the syllabus covered in this context may include:
- Design, development, and deployment of machine learning algorithms
- Implementation of machine learning algorithms into autonomous systems frameworks
- Introduction to machine learning and deep learning
- Concepts like linear regression, Bayesian learning, unsupervised learning techniques, and deep learning
- Specific topics from lecture notes and practice materials available on my platforms
These details suggest that the syllabus for JNTUK's Machine Learning online BITS Mid-2 likely encompasses a comprehensive range of machine learning concepts, algorithms, and applications to provide students with a solid understanding of this evolving field.
Computer Networks
Based on the search results provided, the JNTUK Computer Networks online BITS Mid-2 details likely cover the following syllabus:
- Introduction to computer networks and network architectures
- Network layers and protocols, including the OSI and TCP/IP models
- Data link layer concepts like error detection, flow control, and multiple access techniques
- Network layer protocols and algorithms, such as routing, congestion control, and IP addressing
- Transport layer protocols like TCP and UDP, including flow control and error recovery
- Application layer protocols and services, e.g. HTTP, FTP, SMTP, DNS
- Network security fundamentals, including cryptography, firewalls, and VPNs
- Network management and performance analysis
The online BITS likely provide practice questions, sample papers, and other resources to help students prepare for the Mid-2 examination on the Computer Networks subject at JNTUK.