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ML Concepts – Encoding Categorical Data
There are two types of encoding the Categorical Data: One Hot Encoding Label Encoding or Target Encoding Example: One Hot Encoding – 100, 101, 010 Label Encoding – Normal = 0, Malicious = 1
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ML Concepts – ROC vs AUC
ROC (Receiver Operating Characteristic) AUC (Area Under Curve) – ROC Curve represents relationship between Recall and Specificity. – It is a performance measurement for the binary classification. – It is probability curvet plotted with TPR against the FPR. – AUC Curve represent the degree of measure of separability. – Higher the AUC, the better the…
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ML Concepts – What is Feature Scaling?
Feature Scaling Feature scaling is technique that will get mean and standard deviation of your feature in order to scale your feature. If we apply the feature scaling before the splitting the dataset, then it takes the mean and standard deviation of all the values including training set. It will cause the information leakage. We…
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ML Concepts – Feature Selection – Filter Method vs Wrapper Method
Feature selection is a critical step that affects the ML model performance directly. Reducing the number of features has two main benefits in developing machine learning models. First, extracting a subset from the whole feature list helps to build a more accurate model by removing the noise caused by unnecessary features. Second, model training time…
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ML Concepts – Some common questions need to be answered when you start Data Processing
When you are doing any research for any purpose or performing any task related to Data Processing, you need to understand few questions before start this. I am mentioning few here, you can also add more questions in comment box based on your experience. What is Structure and Unstructured Dataset? What is Primary and Secondary…
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Protected: Most common questions that you need to find before starting a Research
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List of Publications – Journal Articles, Books, Chapters
Title of Publication Name of Journal / Conference Authors ISSN No/ VOL No, Issue No How can your IT Infrastructure Withstand the Pressure of Digitalization? International Journal of Research in Electronics and Computer Engineering Dr. Pranay Jha*, Dr Ashok Sharma http://nebula.wsimg.com/b205966c404e7bf650de85b2f6c3a86e?AccessKeyId=DFB1BA3CED7E7997D5B1&disposition=0&alloworigin=1 IJRECE Vol.7 Issue 1(January-March 2019)ISSN:2393-9028(Print)|ISSN:2348-2281(Online) Behavior Analysis and Crime Prediction using Big Data and…
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Cisco UCS – Part 1 – Getting Start with Implementation of New Cisco UCS Domain
When we are starting with implementing new Cisco UCS Domain environment, there are few steps that need to be follow to complete installation and configuration part. Steps are mentioned in below table. We will discuss the same in detailed information in coming articles. Step 1 Console Setup Step 2 Configure Administration Policies Step 3 Configure…
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How to Upgrade from Windows vCenter 5.5 to VCSA 6.5 including SRM
In last couple of days, I heard this question many times for below scenario. Since 5.5 is about to expire this month, so IT admins are upgrading their environment to new version of vSphere. Though going directly to 6.7 is something that do not meet N-1 requirement for most of the environment. Hence most of…
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How VMware HA Works | Deep Dive
Overview of HA (High Availability): – When you creates HA cluster very first time, then Virtual Machines are configured with cluster default settings. VM Restart Priority Host Isolation Response VM Monitoring There is master host election when the cluster is first created. All other hosts are slaves. Master host is responsible for monitoring the host…
Architect’s Toolkit
PJ’s Tools
VMware Cloud Foundation
- VCF Documentation
- VCF 9 Planning & Preparation Workbook
- VCF Bill of Materials (BoM)
- VMware Compatibility Guide
- VMware Interoperability Matrix
- VMware Configuration Maximums
- VMware Ports & Protocols
- VMware Hands-on Labs
- RVTools Download
Nutanix
AI & Cloud-Native Platform
- NVIDIA Build (Model Catalog)
- NVIDIA AI Enterprise Reference Architecture
- NVIDIA NIM Performance Benchmarking
- NVIDIA NGC Catalog
- NeMo Microservices Helm Chart
- Helm Charts Repository
- Hugging Face Models
Architecture & Design
About the Author
Dr Pranay Jha
Dr. Pranay Jha is a Cloud and AI Consultant with 18+ years of experience in hybrid cloud, virtualization, and enterprise infrastructure transformation. He specializes in VMware technologies, multi-cloud strategy, and Generative AI solutions. He holds a PhD in Computer Applications with research focused on Cloud and AI, has published multiple research papers, and has been a VMware vExpert since 2016 and a VMUG Community Leader.
Recommendations & Endorsements
Pranay has very deep technical knowledge and exceptional capabilities. He has strong ability to well-manage complex situations and deliver the customer expectations with high standards of satisfaction. We worked together in one of most complex migration projects and Pranay delivered flawlessly.
Pranay was my VMware Architect on one of our financial accounts at IBM. He was instrumental in documenting and recommending our reference architecture. As a Chief Architect, you are only as good as your team that supports you. Pranay was top notch.
Pranay is proactive, result oriented, responsible and technically sound. Always ready to put all his energy to get the job done. Exceptional troubleshooting skills in Windows Server, virtualization and VMware — a great asset to any company.
Pranay is one of the most talented and dedicated persons I have ever worked with. His vast knowledge from different domains enables him to discuss and help on almost every topic in IT. Needless to say, he is expert of experts in VMware.
DrJha