{"title":"机器学习及其重要性","authors":"Priyanka R. Gondaliya","doi":"10.55041/ijsrem36768","DOIUrl":null,"url":null,"abstract":"In today’s digital era, businesses are actively generating an astonishing 2.5 quintillion bytes of data every single day. For those of you wondering how much that is—well, there are 18 zeroes at a quintillion! With people using social media platforms, digital communication channels, and various contactless services, it is no surprise that big data continues to grow at a colossal rate. But how can we harness the potential of all this information in the future? And what’s machine learning have to do with it? First of all we have To better understand the future of machine learning, one must be able to differentiate between these 3 concepts deep learning (DL), artificial intelligence (AI) and machine learning (ML) interchangeably. machine learning (ML)","PeriodicalId":504501,"journal":{"name":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","volume":"114 23","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Machine Learning and their Importance\",\"authors\":\"Priyanka R. Gondaliya\",\"doi\":\"10.55041/ijsrem36768\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In today’s digital era, businesses are actively generating an astonishing 2.5 quintillion bytes of data every single day. For those of you wondering how much that is—well, there are 18 zeroes at a quintillion! With people using social media platforms, digital communication channels, and various contactless services, it is no surprise that big data continues to grow at a colossal rate. But how can we harness the potential of all this information in the future? And what’s machine learning have to do with it? First of all we have To better understand the future of machine learning, one must be able to differentiate between these 3 concepts deep learning (DL), artificial intelligence (AI) and machine learning (ML) interchangeably. machine learning (ML)\",\"PeriodicalId\":504501,\"journal\":{\"name\":\"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT\",\"volume\":\"114 23\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.55041/ijsrem36768\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.55041/ijsrem36768","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In today’s digital era, businesses are actively generating an astonishing 2.5 quintillion bytes of data every single day. For those of you wondering how much that is—well, there are 18 zeroes at a quintillion! With people using social media platforms, digital communication channels, and various contactless services, it is no surprise that big data continues to grow at a colossal rate. But how can we harness the potential of all this information in the future? And what’s machine learning have to do with it? First of all we have To better understand the future of machine learning, one must be able to differentiate between these 3 concepts deep learning (DL), artificial intelligence (AI) and machine learning (ML) interchangeably. machine learning (ML)