Author Archives: kumar Gandharv - Page 7
The funds will primarily be utilised to develop new courses and hire the instructors and the teaching staff, including Teaching Assistants and video processing staff.
18
Oct
Digital Transformation Is Not A Sprint, But A Fast Marathon: Shoaib Mohammad, Founder & CEO, Lumiq
In terms of technology, there are issues related to rising concerns of data security and compliance in the cloud adoption in the financial services sector.
AVT would be a strong candidate for tasks beyond anticipation, such as self-supervised learning, general action recognition in tasks that require modelling temporal ordering, and even for discovering action schemas and boundaries.
AVT would be a strong candidate for tasks beyond anticipation, such as self-supervised learning, general action recognition in tasks that require modelling temporal ordering, and even for discovering action schemas and boundaries.
Women are discouraged from continuing their careers in data science and AI because of the gender pay gap, poor career growth for women, male-dominated office culture, lack of access to mentors, and gender bias in recruiting.
![[Jobs Roundup] Latest Data Science And ML Jobs In India image-27443](https://analyticsindiamag.com/wp-content/uploads/2021/10/latest-datascience-and-analytics-ML-jobs-in-India.jpg)
![[Jobs Roundup] Latest Data Science And ML Jobs In India image-27443](https://analyticsindiamag.com/wp-content/uploads/2021/10/latest-datascience-and-analytics-ML-jobs-in-India.jpg)
We have listed the latest data science and machine learning jobs in India this week.
13
Oct
InMobi Signs Definitive Agreement To Acquire Appsumer Analytics, An Insights Platform For Marketers
Appsumer’s workspace allows customers a single source of truth to track performance, analyse results and use that data to plan more effective campaigns.
All the accepted papers are published in Lattice – an international peer-reviewed and refereed journal on machine learning, hosted and managed by the Association of Data Scientists (ADaSci).
It aims to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in commercial products.
The research advances understanding across various tasks crucial for robotic perception, including semantic segmentation, 3D object detection, and multi-object tracking.

