<translate> In the quest for continued knowledge, I found myself eager to explore an academic field called Machine Learning ML that is closely related to Data Science. Machine Learning, as the English name implies, involves how to teach a machine, say a computer, to be able to educate oneself using data and to be able to do things independently, for example choosing from multiple images, as many as millions or even billions, what cats have , or those with fleeing people. There are many uses of ML that permeate our daily lives, especially for many of us who use electronic devices such as phones and computers to share online networks. For those who use email, if you have seen a sentence proposal even before you have finished composing the sentence, this is also the use of ML. <swh>Katika harakati za kuendelea kupata maarifa, nilijipata na hamu ya kuchunguza uwanja wa kitaaluma unaoitwa Machine LearningML unaohusiana kwa karibu na Sayansi ya Data. Machine Learning, kama jina la kiingereza linavyodokeza, inahusisha jinsi ya kufundisha mashine, tuseme kama kompyuta, kuweza kujielimisha kwa kutumia data na kuweza kufanya mambo kwa kujitawala, kwa mfano kuchagua kutoka picha nyingi, kadri ya mamilioni ama hata bilioni, ni gani zilizo na paka, ama zile zilizo na watu wanaokimbia. Kuna matumizi mengi ya ML yanayoenea maisha yetu ya kila siku, hususan kwa wengi wetu tunaotumia vifaa vya kielectroniki kama simu na kompyuta kushiriki katika mitandao kwenye intaneti. Kwa wale wanaotumia barua pepe, iwapo umeona pendekezo la sentensi hata kabla hujamaliza kutunga sentensi hiyo, huu pia ni utumizi wa ML. 