Project Oxford coming of age!!!
Microsoft Cognitive Services - Inspiring!!!
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Arabinda Nag Chowdhury的更多文章
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Personal insights from tough times2023年12月27日
Personal insights from tough times
The last few days were not easy. My father's physical situation worsened suddenly, and we passed few tensed days in the…
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30 条评论 -
An unforgettable experience2022年3月15日
An unforgettable experience
This was few years back. It happened during one of my business travels.
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Our Covid Experience2021年1月14日
Our Covid Experience
Both of us, me and my better half, work in IT and are fortunate to have the option of working from home. Hence, our…
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From Data "Awareness" to Data "Consciousness"2020年8月3日
From Data "Awareness" to Data "Consciousness"
Gartner has reported that by 2021 75% of the organizations will have a CDO (Chief Data Officer). There is no gainsaying…
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The Supply Crunch2016年7月31日
The Supply Crunch
I liked the way Rainer Strack explained the current and future workforce supply scenarios in one slide. Brilliant!
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The First Program I wrote2016年7月31日
The First Program I wrote
That was in 1991. It was in COBOL.
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5 条评论 -
Workforce Productivity Whitepaper link2015年9月28日
Workforce Productivity Whitepaper link
Workforce Productivity
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社区洞察
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Computer HardwareYou want to improve your computer’s performance for AI and machine learning. How can you do it?
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Artificial IntelligenceHere's how you can enhance AI performance through hardware and software integration.
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Artificial IntelligenceHow can you optimize machine learning models on GPU and CPU?
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Machine LearningHow do you deploy your machine learning model on different platforms and devices?
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Artificial IntelligenceHow can you integrate computer vision technology into your business?
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Quality of Service (QoS)How do you leverage machine learning and artificial intelligence for QoS enhancement in 5G networks?
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Artificial IntelligenceHow do you validate computer vision hypotheses?
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AlgorithmsBalancing algorithm accuracy with real-time deadlines: Are you equipped to handle the challenge?
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Machine LearningWhat do you do if your Machine Learning dataset is imbalanced?
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AlgorithmsHere's how you can resolve common conflicts in the field of Algorithms.
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