evaluation
-
Run into the paper statistics, helpless. On Qimo, I saw that Dr.Tong company provided the assistance of thesis statistics, and with the guidance and assistance of the doctor's teacher, I ran smoothly to get the results. Thank Dr.Tong for his high-level service.
Mr. Lin
from: tainan
-
When a doctoral dissertation encounters multiple linear regression, it has always been a difficult point and there is nothing to do. On Google, we can see that the doctor teacher of Dr.Tong statistics company provides statistical running and statistical guidance. The information and requirements to the doctor teacher, with the help of the teacher, smoothly run out the results. Thank you for the help and guidance from the doctor of Dr.Tong statistics company.
Dr. Li
from: taoyuan
-
When I met the difficulties in the statistical analysis of the doctoral thesis questionnaire, I couldn't find a clue. Finally, I saw Dr.Tong's assistance in the statistical analysis of the thesis questionnaire on qimo.com. With the assistance of the doctor, I got the results smoothly. Thank Dr.Tong for his assistance in the statistical analysis of the thesis questionnaire, which solved my urgent problem.
Dr. Li
from: Kaohsiung
-
Previously, a local statistics company in Hong Kong was entrusted, but it failed to do a good job in medical statistics. In my anxiety, I saw the doctor teacher of Dr.Tong statistics company provide statistical running and guidance, and sent the data and requirements to the doctor teacher. With the efforts of the doctor teacher, the analysis results were successfully made. I feel that Taiwan's statistics companies are more professional and the fees are reasonable.
Dr. Li
from: hongkong
-
Thank you for the efficient and high quality service provided by the doctor teacher of Dr.Tong statistics company. Solved my urgent need.
Mr. Lin
from: yunlin
-
When I met the difficulties in the statistical analysis of the pre-test and post-test of the thesis questionnaire, I couldn't solve them all the time. On Qimo, I saw that the doctoral teacher of Dr.Tong statistics company provided the tutoring service of thesis statistics, and sent the information and requirements to the doctoral teacher. With the help and guidance of the teacher, I got the results. Thank you very much for the tutoring service of the doctoral teacher of Dr.Tong statistics company There are two difficulties.
Miss Liu
from: Kaohsiung
-
It is difficult to analyze English papers by SPSS. On Google, we can see that the doctoral teacher of Dr.Tong statistics company provides the paper statistics running and guidance, sends the data and analysis requirements to the teacher, communicates with the teacher, and runs smoothly with the teacher's guidance and help. Thank you very much for the help of the doctor teacher of Dr.Tong statistics company. The teacher is serious, responsible and powerful.
Miss Zeng
from: london
-
It's difficult to analyze Stata data in accounting papers. On Yahoo Qimo, I saw the doctor teacher of Dr.Tong statistics company provide Stata statistical running guidance. The data and requirements were sent to the doctor's teacher. Under the guidance of the doctor's teacher, the Stata code was successfully designed, and the analysis results were also run out. I would like to thank the doctor's teacher of Dr.Tong statistics for his high level guidance and assistance.
Mr. Zhang
from: taizhong
-
Educational papers have quantitative statistics, which is a bit difficult! Helpless, I saw on Yahoo Qimo that Dr. and postdoctoral teachers from Dr.Tong Statistics Company provide doctoral thesis statistics and counseling services. I sent the questionnaire and sample data to the doctor, and with the guidance and assistance of the doctor, I successfully obtained the results and graduated. I am very grateful for the professional guidance of the doctor and postdoctoral teacher from Dr.Tong Statistics Company. The technical expertise, reliable quality, and reasonable fees have saved me a lot of trouble.
Dr. Song
from: Kaohsiung
|
|
|
|
| 2024-02-29 11:45:44 | onclick： | Thinking of Small Sample and Small Data to Solve Big Problems |
 |
|
Small samples and small data solutions can really embody the performance of intelligence.Traditional machine learning methods often rely on large amounts of sample data for training and learning, which can be challenging in some cases, especially when the available data is limited.However, intelligent systems should be able to learn and reason from limited data and provide effective solutions to problems.Small samples and small data solutions have the following characteristics:
Intelligent systems should be able to learn quickly and extract key information from a limited sample in order to make accurate predictions and decisions.
Intelligent systems should be able to infer universal laws from small samples and be able to adapt to new, unknown data.
Intelligent systems should be able to fill in missing information in the sample data and draw accurate conclusions through logical or model reasoning.
Intelligent systems should be able to build complex models and representations from limited data to better capture key features and patterns in the data.
Intelligent systems should be able to proactively select samples that are helpful for learning and reasoning based on existing knowledge and experience to improve learning efficiency and accuracy.
Small samples and small data solutions are the expression of intelligence, which refers to analysis and decision-making with less data, which not only makes full use of limited data resources, but also solves big problems through effective learning and reasoning.Here are some examples:
Doctors can diagnose a patient's disease with only a few case data.By analyzing these small samples, doctors can discover common characteristics of the disease, thus giving the right diagnosis and treatment options.
Banks or financial institutions can build models by analyzing small amounts of data about fraud in order to identify potential fraud cases.Although the data samples are limited, patterns and laws of fraud can be found through the application of intelligent algorithms.
By analyzing fewer user reviews or social media data, you can understand people's feelings and attitudes about a product or event.This analysis can help businesses and governments understand the public's perception of a particular issue, so that decisions and improvements can be made accordingly.
4, through the analysis of the user's behavior data, such as purchase records, browsing history, etc., you can personalize the recommended products or content.Even with a limited amount of users' personal data, intelligent algorithms can still make recommendations based on similar user behavior patterns and preferences.
In general, the key to solving big problems with small samples of small data lies in the use of intelligent algorithms and analytical methods.Through these methods, hidden patterns and patterns can be discovered from limited data to make accurate predictions and decisions.Human-machine fusion can initially realize small sample small data to solve big problems.Machine learning algorithms may not be very suitable when faced with small samples of small data because they require a large amount of training data to build models.Humans, on the other hand, can use their experience and intuition to reason and make decisions when confronted with new problems.Therefore, through human-machine fusion, machine learning algorithms can be combined with human intelligence to guide the learning process of machine learning algorithms through human experience and intuition to solve big problems in small samples and small data.
|
|
 |
|
|
|
|
|
