Examples of using We explore in English and their translations into Chinese
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Political
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Ecclesiastic
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Programming
Today we explore that story.
Our home is the base from which we explore the world.
Today we explore the old city.
The connection between ideas doesn't happen unless we explore a little.
Why should we explore the Moon?
People also translate
We explore the possible programs.
Please join us as we explore“The Future of Energy.”.
We explore, but you call us criminals.
At icebreaker we explore the relationship between people and nature.
We explore the ten best restaurants in the area.
As a company we explore the synergies between arts and science.
We explore why it's so hard to change our minds.
During two days, we explore complexity and trends in the digital world.
We explore what helped the children settle in to new homes.
Below, we explore the research behind using honey for asthma.
We explore many of Jerusalem's major sights and finest examples of architecture.
For two days we explore complexity and trends in the digital world of ours.
And we explore three key trends that we expect will influence its price performance:.
Here, we explore a brief history of drama as literature.
Sure, we explore those things too, but we do so much more.
So, when we explore space, we need to bring our own oxygen supply.
We explore whether countries with better financial systems can exploit FDI more efficiently.
We explore fundamental principles of business and management with a focus on your employability.
We explore and compare the political, economic, social, cultural and intellectual life of many early civilizations.
We explore how innovations in postdigital cultures can help us to rethink our ways of being/doing in the 21st century.
When we explore major programming languages and platforms, some that stand out besides Android include PHP, Python, and R.
When we explore other, older design disciplines, their evolution may begin to guide ours, and we may begin to truly innovate.
The approach we explore, called reinforcement learning, is much more focused on goal-directed learning from interaction than are other approaches to machine learning.
We explore how using relational inductive biases within deep learning architectures can facilitate learning about entities, relations, and rules for composing them.
We explore how using relational inductive biases within deep learning architectures can facilitate learning about entities, relations, and rules for composing them.