Examples of using Science problems in English and their translations into Chinese
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NASA is applying AI to space science problems.
There are atmospheric science problems, measurement problems, heat transfer problems, and a wide range of problems. .
Are able to identify and solve physical science problems.
Due to the inaccuracy, many basic science problems related to it cannot be solved.
We provide online solutions of actuarial science problems.
You will alsolearn ways to solve classical computer science problems, principles of software design, and how to analyze algorithm performance.
And fosters students' abilities to solve computer science problems.
It could help use solve some very important science problems including materials and catalyst design.”.
You might beknowing that it allows users to solve math and science problems.
Because biological systems are so complex,solving life science problems requires linking concepts and information between disciplines and organizational scales.
Likes to study and solve math or science problems;
Beginners will learn the basics of programming and will be able to writecodes that solve beginner level computer science problems.
The field isbeginning to see application to solve basic science problems in structural biology and biophysics.
Derive and solve a linear regression model,and apply it appropriately to data science problems.
It will equip you with the knowledge andskills to tackle real-world life science problems from an informatic and computational perspective.
In the future, machine learning as an effective analyticaltool will help solve more quantum science problems.
Ask your team why they are spending money on consultantsand/or packaged software for solving data science problems without considering what's available for free.
In general,girls have less self-confidence than boys in their ability to solve mathematics or science problems.
And it's during this step that some of the most common data science problems appear.
Instead, MENNDL is a tool for testing andtraining thousands of potential neural networks to work on unique science problems.
XGBoost provides a parallel tree boosting(also known as GBDT, GBM)that solve many data science problems in a fast and accurate way.
Methods like decision trees, random forest, gradient boosting are being popularlyused in all kinds of data science problems.
The Scikit-learn Python library, initially released in 2007,is commonly used in solving machine learning and data science problems- from the beginning to the end.
In this instructor-led, live training, participants will learn how to useF to solve a series of real-world data science problems.
How To Save the World with Salad Dressing andOther Outrageous Science Problems.
It's just got a really, really vibrant community of open source folks who areusing Python to solve interesting data science problems,” she said.
In this course, students will learn how to apply Supervised,Unsupervised and Reinforcement Learning techniques for solving a range of data science problems.
On the Profiler their highest score is for the Investigative type,misinforming them that their primary interest is in solving math and science problems.
These systems demonstrate massive performance capability as measured by the LINPACK benchmark,while driving commerce and helping researchers investigate complex science problems.
Full state sharding is an unsolved computer science problem.