Manav Rachna Edge https://validator.w3.org/feed/docs/rss2.html MODULE 2 – Quiz LIVE SESSION – 4th Oct – Part 1 SDP LIVE SESSION SDP LIVE SESSION SDP LIVE SESSION SDP LIVE SESSION SDP LIVE SESSION SDP LIVE SESSION 3.8 Operating System Tools to Implement Security Functions and Rootkit: Phone Rootkit, Sony XCP Rootkit, TLBSS Rootkits LIVE SESSION – 4th Oct – Part 2 3.7 Security requirements of database, Security in operating systems: Operating System Structure 3.6 SSL, IPSec, E-mail Security–PGP, Email attacks 3.4 Digital Signature Concept; Compare Digital Signature with Public Key Cryptography, Digital Signature Scheme 3.3 Biometric Authentication and Third Party Authentication using KDCs and Kerberos Version 5 3.2 Modes of Operation of Block Ciphers: ECB, CBC, OFB, CTR, DES, RSA 3.1 Concept of symmetric and asymmetric cryptography LIVE SESSION – 4th Oct 3.5 Hash functions Properties; Algorithm: MDC, MAC, HMAC, MD5, and SHA 512 LIVE SESSION – 4th Oct Certification in Data Intelligence Batch 1 (JULY 26) 3.7 Sustainability as a cornerstone of future marketing strategies. Strategic Human Resource Management Batch 1 (JULY 26) Certification in Data Intelligence Batch 1 (JULY 26) MODULE 2 Main Demo Strategic Human Resource Management Batch 1 (JULY 26) The rise of agile HR: A paradigm shift for an unpredictable tomorrow Staffing analytics and mastering the art of cross-cultural collaboration HR Metrics and Dashboard Fundamentals to R; Excel for analytics Descriptive and Predictive Statistics Leadership and its styles: The Guiding Stars of OD Nurturing culture as a living, breathing competitive advantage MODULE 3 – QUIZ 3.7 Applications of Ensemble Methods in Supervised and Unsupervised Learning 3.6 Graphical Models and Evaluation Measures The art of turning resistance into opportunity: Techniques for smooth transitions Embracing transformative change with purpose and precision Delving into the timeless OD models Weaving the intricate threads of OD into the fabric of organizational growth The Living Pulse of Organization Development (OD)- Introduction 3.5 Decision Trees and Ensemble Models (Bagging and Boosting) 3.4 Generative Models: Linear Discriminative Analysis and Naïve Bayes Classifier MODULE 3- Quiz 3.3 Principal Component Analysis (PCA) 3.2 Reinforcement Learning and Dimensionality Reduction Reflective presentations that synthesize learning and showcase innovation 3.1 Clustering, Gaussian Mixture Models, and Spectral Clustering SDP LIVE SESSION Blog