Personal Information
Organization / Workplace
Bengaluru Area, India, Karnataka India
Occupation
AI Product Engineering Leader
Website
saurabhkaushik.wordpress.com
About
Passionate about Product Engineering and Management of Digital Intelligent products, deploying them at global scale to make our clients more successful and their customers more delightful.
Tags
artificial intelligence
machine learning
architecture
product management
intelligent apps
intelligent systems
innovation
design thinking
data science
natural language processing
deep learning
nlp
social marketing
strategic marketing
digital marketing
tensorflow
production
mlops
kubernetes
kubeflow
google
devops
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containerization
information technology
engineering
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deals
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case studies
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- Presentations
- Documents
- Infographics
Deep Learning, an interactive introduction for NLP-ers
Roelof Pieters
•
9 years ago
Deep Learning for NLP Applications
Samiur Rahman
•
9 years ago
Deep Learning & NLP: Graphs to the Rescue!
Roelof Pieters
•
9 years ago
Deep Learning for NLP: An Introduction to Neural Word Embeddings
Roelof Pieters
•
9 years ago
Reinventing the Record-to-Report Process for Worry-Free Governance, Risk & Compliance
Proformative, Inc.
•
10 years ago
SAP Order To Cash Cycle
Mohamed Talaat
•
14 years ago
A Simple Introduction to Word Embeddings
Bhaskar Mitra
•
8 years ago
23 Tips From Comedians to Be Funnier in Your Next Presentation (via the book Do You Talk Funny?)
David Nihill
•
8 years ago
Understanding Feature Space in Machine Learning
Alice Zheng
•
8 years ago
Machine Learning system architecture – Microsoft Translator, a Case Study : Vishal chowdhary Strata 2014
Vishal Chowdhary
•
9 years ago
Maximizing a churn campaign’s profitability with cost sensitive predictive analytics
Alejandro Correa Bahnsen, PhD
•
9 years ago
Introduction to Machine Learning and Deep Learning
Terry Taewoong Um
•
8 years ago
Machine Learning: Applications, Process and Techniques
Rui Pedro Paiva
•
10 years ago
Applying Robotic Process Automation in Banking: Innovations in Finance and Risk
accenture
•
8 years ago
50 Ways To Understand The Digital Customer Experience
Cognizant
•
8 years ago
Crafting Strong Value Propositions
Jill Konrath
•
11 years ago
Making Customer Data Actionable With Predictive Analytics In The Automotive Market
Outsell
•
9 years ago
Bridging the Gap Between Data Science & Engineer: Building High-Performance Teams
ryanorban
•
8 years ago
Visualising Data with Code
Ri Liu
•
8 years ago
An Introduction in 10 slides to Digital Customer Experience
Capgemini
•
10 years ago