在机器学习 in English translation

• in machine learning
• machine-learning
• in ML

Examples of using 在机器学习 in Chinese and their translations into English

这些建议源于与机器学习工程师、研究人员和教育工作者的对话以及我在机器学习研究和行业角色方面的经验。
These recommendations stem from conversations with machine learning engineers, researchers, and educators, as well as my experience in machine learning research and industry roles.

回答摘选：HåkonHapnesStrand在多大程度上认为在机器学习算法中记住高级公式很重要？?
Excerpt from answer to: To what extent does Håkon Hapnes Strand feel that it's important to memorise advanced formulae in machine learning algorithms?

我们来研究一种更好的机制，这种机制在机器学习领域非常热门，称为梯度下降法。
Let's examine a better mechanism- very popular in machine learning- called gradient descent.

班加罗尔是印度的技术中心，它在机器学习、图像和语音识别领域都闯出了自己的名声。
Bangalore, the technology hub of India, is making a name for itself in the field of machine learning, image and voice recognition.

神经网络已经复苏，并且在机器学习新方法中扮演越来越重要的角色。
Neural networks have made a comeback and are playing a growing role in new approaches to machine learning.

这些工程师如今在结合机器学习、计算机视觉、传感器融合和链接的应用时，能够获得显著的优势。
These engineers can now realize significant advantages when combining machine learning, computer vision, sensor fusion, and connectivity.

随着技术的发展和进步，那些在机器学习和云计算采用方面不受重视的组织可能会发现自己落后于人。
As technology evolves, organisations that don't take the reins in terms of machine learning and cloud adoption may see themselves left behind.

汽车保险行业的远程信息处理解决方案提供商正在整合机器学习，以创建更准确的风险模型并预测索赔行为。
Telematics solution providers are integrating machine learning into the auto-insurance industry to create accurate risk models and predict claims behavior.

大多数平台正在试验机器学习，以从他们拥有的大量员工数据中获得有意义的见解。
Most platforms are experimenting with machine learning to derive meaningful insights from the masses of employee data they have.”.

在许多机器学习应用程序中，领域特定语言(DSL)是完美的解决方案。
There are many machine learning applications for which a domain specific language(DSL) is the perfect solution.

这两个项目给一窥在机器学习和数据科学，野生的增长领域的关键问题。
These two projects give a glimpse into the key problems in the growing field of machine learning and data science in the wild.

在机器学习，NLP，语音，视觉和生物信息学领域发表多篇论文，包括ICML和ECML的最佳论文奖。
He has authored papers in the areas of machine learning, NLP, speech, vision and bioinformatics, including best paper awards at ICML and ECML.

深度学习自动找到对分类重要的特征，而在机器学习，我们必须手工地给出这些特征。
Deep learning automatically finds out the features which are important for classification, wherein Machine Learning we had to manually give the features.

冬奥会虽然微软已经在机器学习领域耕耘了至少20年，但是Office和Windows这类部门一度小心谨慎地利用其预测功能。
Though Microsoft has been working on machine learning for at least 20 years, divisions like Office and Windows once harnessed its predictive qualities only sparingly.

在设计机器学习策略时，CIO们应将其视为数据分析的下一个技术浪潮。
When devising a machine learning strategy, CIOs should think of it as the next wave of analytics.

前两年，微软在机器学习和分析上加大了赌注。
During the last two years, Microsoft has upped the ante on Machine Learning and Analytics.

在机器学习和人工智能研究进行了几十年之后，我们现在已经走到了广泛应用高级智能的转折点上。
Following decades of research into machine learning and AI, we are now at a turning point in the widespread application of advanced intelligence.

区块链及其分类帐可以记录在机器学习下做出决策的所有数据和变量。
Blockchain and its ledger can record all data and variables that go through a decision made under machine learning.

但是，在机器学习过程的早期，你会发现，即使你并没有直接去优化，他们也都会上升。
However, early in the machine learning process, you will notice them all going up, even those that you do not directly optimize.

在机器学习和数据科学市场，Python,Java,和R的招聘需求最大；.
In the machine learning and data science markets, Python, Java, and R have the greatest recruitment needs;