{"title":"Machine Learning in Google Cloud Big Query using SQL","authors":"Ravi Kashyap","doi":"10.14445/23488387/ijcse-v10i5p103","DOIUrl":null,"url":null,"abstract":"- In today's world, data has become a valuable resource for businesses, governments, researchers, and individuals alike. However, to truly extract value from data, it is essential to provide the proper context. Simply collecting and analyzing data without understanding its context can lead to inaccurate conclusions and misguided decision-making. An important factor that drives a successful organization is gathering data that can be analyzed to gain greater insights into the business and enable new opportunities, allowing the business to innovate products/services based on consumer preference. Data is the lifeblood of all businesses, and data-driven decisions can make a significant difference in staying ahead of the competition. Machine learning can be the key to unlocking the value of corporate and customer data, enabling businesses to leverage their data to make more accurate predictions and decisions. It can help businesses to identify patterns and trends in their data that might not be apparent to humans, leading to more accurate predictions and better decisions.","PeriodicalId":186366,"journal":{"name":"International Journal of Computer Science and Engineering","volume":"111 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Computer Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14445/23488387/ijcse-v10i5p103","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
- In today's world, data has become a valuable resource for businesses, governments, researchers, and individuals alike. However, to truly extract value from data, it is essential to provide the proper context. Simply collecting and analyzing data without understanding its context can lead to inaccurate conclusions and misguided decision-making. An important factor that drives a successful organization is gathering data that can be analyzed to gain greater insights into the business and enable new opportunities, allowing the business to innovate products/services based on consumer preference. Data is the lifeblood of all businesses, and data-driven decisions can make a significant difference in staying ahead of the competition. Machine learning can be the key to unlocking the value of corporate and customer data, enabling businesses to leverage their data to make more accurate predictions and decisions. It can help businesses to identify patterns and trends in their data that might not be apparent to humans, leading to more accurate predictions and better decisions.