Examples of using Professional data in English and their translations into Chinese
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Call a professional data recovery company.
Tapping the full potential of the market with professional data management.
Professional data such as job position, skills, etc.
In many situations, this will eliminate the need for professional data scientists.
Professional data and insights experts understand that decisions must have support from data. .
In addition, backup services are much cheaper than professional data recovery center services.
By using a professional data centre, it is very likely that the data connection speed can be faster than your home broadband.
Therefore, we recommend that corporate users use a professional data sharing system to avoid unwanted trouble.
Through 2020, the number of citizen data scientistsis predicted to grow five times faster than professional data scientists.
The following data is based on professional data sampling and models, which is more stable and comparable between different years.
Through 2020, the number of citizen data scientists will grow five times faster than professional data scientists.
The more capable and proficient use of professional data center systems can provide a much higher guarantee for reliability and network availability.
Through 2020, the number of citizen data scientists will grow five times faster than professional data scientists.
With the company's data securely stored in a professional data center, IT leaders are free to focus on business-changing opportunities.
Through 2020, the number of citizen data scientistsis predicted to grow five times faster than professional data scientists.
Professional data recovery services deal with everything from deleted and overwritten files to dying hard drives that need to be disassembled and repaired.
Therefore, many of us recommend that corporate users use a professional data sharing system to avoid unneeded trouble.
However, sixty-four percent of respondents said they still frequentlyuse cloud-based apps to store their personal and professional data.
As data is collected and analysed in all areas of society,demand for professional data scientists is high and will grow higher.
Some 600,000 professional data crunchers use Kaggle to build prediction models for such heady challenges as cancer detection and heart disease diagnoses.
On the one hand, the acquisition of all that business-related individual professional data, makes the acquisition valuable.
Hengtian offers a complete set of professional data integration services to help clients determine the most accurate solutions to improve the performance of their systems.
According to Gartner, through 2020, the number of citizen data scientists will grow five times faster than professional data scientists.
Develop third party credit evaluating,encourage energy companies or professional data services company to develop independence of energy data and information services.
According to Gartner, the analytics output of businessusers with self-service capabilities will surpass that of professional data scientists in 2019.
Cisco networking professional data center gives a thorough grounding in the design of data equipment, the installation process and the best maintenance practices.
Gartner predicted that in 2019 the analytics output of businessusers with self-service capabilities will surpass that of professional data scientists.
Professional data centers operators and integrators are interested in the developing cloud solutions, for they are flexible, scalable and more durable for the business.
The first phase of the review will be completed by the end of December 2011,with the development of a framework and procedures for professional data collection at each duty station.
As already mentioned, many professional data scientists choose to use open source machine learning tools, such as TensorFlow, Apache Spark's MLlib or Caffe.