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Prash Majmudar Profile
Prash Majmudar

@prashmaj

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CTO @growthintel

Joined November 2013
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@rowancheung
Rowan Cheung
2 years
It's been an insane week for AI. Two GPT-4 level competitors, Google's AI espionage, Elon suing OpenAI, Midjourney drama, open-source robotics, and more. Here's everything that you need to know:
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@jamesspurin
James Spurin
7 years
I just published a summary of the Ansible London Meetup 19th March 2019 https://t.co/Gf9P7tgrsY #ansible #devops @ansible @the_gundalow @gregdek @the_shaps @AdamChainz @prashmaj
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@prashmaj
Prash Majmudar
7 years
And the simplified version...
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@prashmaj
Prash Majmudar
7 years
Wow the long list of variable precedence in @ansible !
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@prashmaj
Prash Majmudar
7 years
Looking forward to speaking about data deploys with @ansible tonight at @ansiblelondon !
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@gi_platform
Growth Intelligence
7 years
The efficiency dilemma of a B2B marketer: How do you grow a marketing channel that's already highly efficient? Read our latest customer success story with Peter Millichap at @TeletracNavUK about his journey in search of new growth opportunities https://t.co/D2ibKjD8Am
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@the_gundalow
John Barker
7 years
Join @prashmaj on Tue 19th March at @AnsibleLondon where you will about Data Deployments with @Ansible
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@gi_platform
Growth Intelligence
7 years
We are pleased to announce the successful close of a £1.7m investment round to help marketers and sales leaders drive faster growth with AI. For the full press release, visit
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@prashmaj
Prash Majmudar
7 years
Looking forward to Chirayu's talk from @growthintel at #ldndevops
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@prashmaj
Prash Majmudar
7 years
Datasets not algorithms limiting factor in AI development @kdd_news - #deeplearning day
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@gvanrossum
Guido van Rossum
8 years
“clever boy”
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@MarketingB2B
marketingb2b
8 years
Discover tomorrow's customers using @growthintel who are our insight session sponsors at #IgniteB2B @TheBDC 10 July. https://t.co/5lPShxblYR
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@DynamicWebPaige
👩‍💻 Paige Bailey
8 years
📈Example of a data validation schema, taken from @Google's TFX paper (2017). Example checks: - Features present in the data. - Expected type of each feature. - Expected presence of each feature, in terms of a minimum count and fraction of examples that must contain the feature.
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@FeedForwardAI
FeedForward
8 years
Do you have a deep audio catalogue? Our deep learning solution enables your users to find the music they want quickly & intuitively. Meet Figaro, AI for intuitive audio search. Our first solution for the creative industry. #usefulAI https://t.co/C4z6EllNO4
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@prashmaj
Prash Majmudar
8 years
Why predicting lifetime value matters @growthintel @pydatalondon #PyDataLDN
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@KrisGrosbergs
Kris Grosbergs
8 years
I'm hiring for an Enterprise Sales Development Rep. Apply here -
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@pydatalondon
PyData London
8 years
PyData London 2018: the conference schedule is online! Check it out
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@gi_platform
Growth Intelligence
8 years
Our very own @Tom_Gatten is giving a keynote tomorrow (1:15 pm) at the @SalesInnovExpo on adopting AI for outbound marketing. We'd love to see you in the audience.
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