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10 BEST ARMORED ENGINEERING VEHICLES IN THE WORLD
| May 16, 2019
For more than a century, Aecon and our predecessor companies have helped build many of Canada's most famous landmarks – from the CN Tower and the St. Lawrence Seaway, to the Vancouver Sky Train and the Halifax Shipyards.
Article | July 13, 2021
The Office for Budget Responsibility (OBR) in its latest Fiscal Risks Report has forecast the cost to the UK public finances from climate change (physical risks) and the transition to net-zero (transition risks) across a range of different scenarios.
Describing the challenge, the OBR states:
There are many other policy challenges to overcome, so the path to net zero can be expected to involve many policy levers on top of carbon taxes and emissions trading schemes, including bans and other regulations, and public subsidies and investment. These will all have economic and fiscal implications of one sort or another – either directly (via taxes and spending) or indirectly (via wider economic outcomes).
Taking early action to achieve net zero would add 21% of GDP to public sector net debt by 2050, a smaller amount than that added by the Covid-19 pandemic. This amount comes from increased spending on net-zero investment, the loss of tax revenues (such as fuel duty), revenues from tax on carbon and other costs such as increased debt interest payments.
Article | April 3, 2020
It’s been 12 23 days since the World Health Organization proclaimed the coronavirus outbreak a pandemic. In the U.S., as of March 23 April 3, there have been approximately 38,500 245,000 cases and over 400 6,000 deaths due to the virus. The situation is really starting to worsen as we’re seeing more states, counties, and cities choose to close nonessential businesses or issue some sort of stay at home or shelter in place orders. These include states like California, Connecticut, Delaware, Kentucky, Illinois, Louisiana, New Jersey, New York, Ohio, Pennsylvania.
Article | May 17, 2021
Andrew Jones MP, Chair of the All-Party Parliamentary Group on Infrastructure, comments on last week's Queen’s Speech announcements.
Article | April 24, 2020
Feature engineering is the process of extracting new variables by transforming raw data to improve the predictability of a machine learning model. But feature engineering is not just this kind of simple translation of categories like names or colors into numbers. The following section includes a collection of different kinds of engineering approaches that go beyond a translation of categories into numbers and address needs such as transforming numbers into categories or filtering data points due to missing or false data.
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