Vijay Ganti
3 SlideShares 42 Abonné 11 Suivis
Personal Information
Entreprise/Lieu de travail
San Francisco Bay Area United States
Profession
Product Leader at VMware (Networking & Security Business Unit)
Secteur d’activité
Technology / Software / Internet
Site Web
http://www.mamigoinc.com
À propos
I am a product, marketing, and strategy professional with an entrepreneurial background. Some of the products I built - - A mobile app in 2007 (pre-iPhone days) that lets you take a picture of a wine bottle and get reviews. Tested with one wine store in NJ. Used image matching with SIFT features. - A home monitoring device, with PIR intrusion detection and video alerting capability that could run in Indian conditions. It could be operated with SMS, voice calls, and a web portal. Built ground up on Blackfin 537 DSP. Learned hardware design, programming, recruited the team for enclosure design and software development. Built the complete product in 6 months with a BOM of
Coordonnées
Mots-clés
machine learning python nlp deep learning natural language processing analytics content analytics
Tout plus

Présentations

(3)

NLP & Machine Learning - An Introductory Talk

il y a 7 ans • 181 Vues

NLP & Machine Learning - An Introductory Talk

il y a 7 ans • 690 Vues

Machine Learning in NLP

il y a 7 ans • 650 Vues

J’aime

(1)

NLP & Machine Learning - An Introductory Talk

Vijay Ganti • il y a 7 ans
Personal Information
Entreprise/Lieu de travail
San Francisco Bay Area United States
Profession
Product Leader at VMware (Networking & Security Business Unit)
Secteur d’activité
Technology / Software / Internet
Site Web
http://www.mamigoinc.com
À propos
I am a product, marketing, and strategy professional with an entrepreneurial background. Some of the products I built - - A mobile app in 2007 (pre-iPhone days) that lets you take a picture of a wine bottle and get reviews. Tested with one wine store in NJ. Used image matching with SIFT features. - A home monitoring device, with PIR intrusion detection and video alerting capability that could run in Indian conditions. It could be operated with SMS, voice calls, and a web portal. Built ground up on Blackfin 537 DSP. Learned hardware design, programming, recruited the team for enclosure design and software development. Built the complete product in 6 months with a BOM of
Mots-clés
machine learning python nlp deep learning natural language processing analytics content analytics
Tout plus