Nand Kishor Contributor

Nand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc... ...

Full Bio 
Follow on

Nand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc...

3 Best Programming Languages For Internet of Things Development In 2018
374 days ago

Data science is the big draw in business schools
547 days ago

7 Effective Methods for Fitting a Liner
557 days ago

3 Thoughts on Why Deep Learning Works So Well
557 days ago

3 million at risk from the rise of robots
557 days ago

Top 10 Hot Artificial Intelligence (AI) Technologies
312795 views

Here's why so many data scientists are leaving their jobs
81258 views

2018 Data Science Interview Questions for Top Tech Companies
77841 views

Want to be a millionaire before you turn 25? Study artificial intelligence or machine learning
76995 views

Google announces scholarship program to train 1.3 lakh Indian developers in emerging technologies
61803 views

Singapore's unemployment rates up in Q1 2017 for most age, education groups

By Nand Kishor |Email | Jun 14, 2017 | 6705 Views

SINGAPORE'S resident unemployment rates for most age and education groups were higher in the first quarter of this year compared to a year ago, according to figures released by the Ministry of Manpower (MOM) on Tuesday.

The increase in resident unemployment rates was more pronounced among residents aged below 30 (from 3.8 per cent to 4.6 per cent), and 50 and over (2.2 per cent to 3.1 per cent), as well as among those with diploma and professional qualifications (2.3 per cent to 3.5 per cent), and below secondary (1.8 per cent to 2.7 per cent) qualifications.

More job seekers took a longer time to find work. The resident long-term unemployment rate was 0.8 per cent in March 2017, marginally higher than the 0.7 per cent in March last year.

The seasonally-adjusted resident unemployment rate in March 2017 remained unchanged at 3.2 per cent over the previous quarter.

Total employment declined by 6,800 in Q1 2017, after a modest growth of 2,300 in the previous quarter. MOM said that the decline reflected a reduction in the foreign workforce, mainly due to a decrease in work permit holders in manufacturing and construction, which was a result of low oil prices and continued weakness in private sector construction activity, respectively.

At the same time, employment continued to grow in sectors such as community, social and personal services, and financial and insurance services.

Redundancies declined to 4,000 in Q1 2017, from 5,440 in Q4 2016 and 4,710 a year ago.

In particular, manufacturing redundancies were the lowest in the past six quarters. The six-month re-entry rate among residents made redundant was 64 per cent in Q1 2017, comparable to the previous quarter (65 per cent).

In particular, both younger workers aged below 30 and workers in the clerical, sales and service sector had the highest rates of re-entry, at 78 per cent. Continue Reading>>

Source: Business Times