Cracking the PM interview — Product Questions

Good framework have the following characteristics:

1. Ask appropriate questions
2. Understand and assess a goal
3. Apply a structured approach to accomplish the goal
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Login to my server:

ssh xx306@login.student.eecs.qmul.ac.uk -A

“The Eagle” Remote Sensing Reconnaissance System

2018 Google - China MoE University-Industry Collaboration Program

This project intends to adopt a light-weight compression deep learning algorithm, based on Google open source artificial intelligence learning system TensorFlow, to propose and implement a set of intelligent processing solutions for mobile remote sensing images (target detection and semantic segmentation) on the mobile artificial intelligence computing platform.

The mobile platform can be carried on the satellite to realize on-orbit real-time remote sensing image information extraction, which provides a basis for subsequent data classification and efficient retrieval, and can filter the target data of interest according to user instructions for downlink transmission, thereby greatly reducing data. The transmission volume, alleviating the bandwidth pressure of the network link, reducing the energy consumption of data transmission, improving the targeting of the downlink data and the timeliness of information acquisition.

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Reference: The Age of Social Sensing
1st paper review for 2019 iSURE @ Social Sensing Lab at University of Notre Dame.

Social Sensing aims to better understand the physical world through social networks. The challenge is how to extract information form the medium and find appropriate properties to characterize the extracted information and the world it represents.

four of the most common stressors on social media

This TedTalk by Robert Waldinger describes a study that began in 1938 and followed the lives of 724 men from their adolescence to their death (60% of them were still alive and participating in the study when the talk is given).
The Harvard Study of Adult Development is one of the longest studies of adult life which follows two groups of men:

1. men who were sophomores at Harvard
2. boys in the lower socioeconomic group/disadvantaged families in Boston’s poorest neighborhood.

Each participant was medically examined, interviewed in their homes and had their families also interviewed. Every two years, the participants would answer another set of questions about their life (work, home, health…), complete a face-to-face interview, and a multitude of other data submissions.
The main conclusion of this 75-year study is this: Good relationships keep us happier and healthier.

This is a previous auto-generated hexo user manual. And I keep adding some new issues.

Reference: Towards Scalable and Dynamic Social Sensing Using A Distributed Computing Framework
2nd paper review for 2019 iSURE @ Social Sensing Lab at University of Notre Dame.

This paper developed a Scalable Streaming Truth Discovery (SSTD) solution to address the problems of truth discovery: dynamic truth, scalability and heterogeneity of streaming data.

1. Dynamic truth discovery: the ground truth of claims changes over time.
2. Scalability to large-scale social sensing events.
3. The heterogeneity and unpredictability of the social sensing data traffic. And additional challenges to the resource allocation and system responsiveness.

Methods in the solution:

1. Hidden Markov Models(HMM) help the dynamic truth discovery scheme effectively infer the evolving truth of reported claims.
2. A distributed framework implements the dynamic truth discovery scheme using Work Queue in HTCcondor system.
3. the SSTD scheme intergraded with an optimal workload allocation mechanism .

Evaluation using Twitter data feeds: Boston Bombing, Paris Shooting and College Football