Ứng dụng của AI trong các bài toán thực tế

Brief Summary

This video discusses various aspects of AI, data science, and machine learning, with a focus on job roles, technologies, and community engagement in Vietnam. It covers topics such as job descriptions, data annotation, object detection, and the use of platforms like LinkedIn and YouTube for professional networking and learning.

  • Job roles and descriptions in AI and data science
  • Data annotation and labeling techniques
  • Object detection and classification in computer vision
  • Community engagement and networking in Vietnam

Introduction

The video starts with the host greeting the audience and making some ambiguous statements. There are mentions of "python door" and "big moon," creating a somewhat unclear and informal opening.

Job Descriptions and Titles

The host discusses job descriptions, titles, locations, functions, and industries, emphasizing the importance of these elements in defining a role. He mentions using platforms like Google and LinkedIn to find relevant job postings and tailor them to junior audiences.

LinkedIn and Networking

The host talks about using LinkedIn for job searching and networking, particularly within the Vietnamese community. He mentions channels like "Lincoln Continental" and discusses various job levels, including CEO, CTO, and COO, and their relevance in the Vietnamese job market.

Private Channels and Posting

The host touches on the topic of private channels and how postings about job opportunities are shared. He discusses the importance of knowing how to approach CEOs and other high-level executives when seeking job opportunities.

Job Descriptions and CV Matching

The host emphasizes the importance of matching job descriptions with CVs to increase the chances of getting noticed by recruiters. He suggests highlighting relevant qualifications and experiences to align with the job requirements.

Email and Messaging Strategies

The host discusses strategies for sending emails and messages to potential employers, emphasizing the need to personalize the message and highlight relevant skills and experiences. He suggests mentioning a specific position and explaining why you would be a good match for the company.

Data Science and Machine Learning Roles

The host talks about data science and machine learning roles, including data scientists and machine learning engineers. He mentions the Vietnamese community and the importance of having a good CV and relevant skills for these positions.

Community and Positive Engagement

The host discusses the importance of positive engagement within the community. He encourages viewers to maintain a positive attitude and support each other in their professional endeavors.

Data Annotation and Labeling

The host touches on data annotation and labeling, which are crucial for training machine learning models. He mentions the need for high-quality data and the importance of accurate annotations for effective model performance.

Object Detection and Classification

The host discusses object detection and classification, which are key tasks in computer vision. He explains how these techniques are used to identify and categorize objects in images and videos.

CPU and GPU Considerations

The host briefly discusses the importance of CPUs and GPUs in AI and machine learning tasks. He mentions Nvidia and the need for powerful hardware to handle complex computations.

Deployment and Gambling Analogy

The host uses a gambling analogy to explain the concept of deployment in AI. He emphasizes the need to take calculated risks and make informed decisions when deploying machine learning models.

Occlusion and Object Detection

The host discusses occlusion, which refers to the obstruction of objects in images or videos. He explains how occlusion can affect object detection and the need for robust algorithms to handle such situations.

Temporal Object Detection

The host introduces the concept of temporal object detection, which involves tracking objects over time in videos. He explains how this technique can be used to improve the accuracy and reliability of object detection systems.

Community and Networking in Vietnam

The host reiterates the importance of community and networking in Vietnam. He encourages viewers to connect with each other and share their knowledge and experiences.

Camera and Lens Discussion

The host briefly discusses cameras and lenses, mentioning Mongolian and Vietnamese contexts. He touches on the technical aspects of camera technology and its relevance in computer vision applications.

Action Recognition and Statistics

The host introduces action recognition and statistics, explaining how these techniques are used to analyze and understand human actions in videos. He mentions the importance of personal and team statistics in evaluating performance.

Image and Video Processing

The host discusses image and video processing techniques, including frame detection and classification. He mentions the use of raw frames and the need for calibration to achieve accurate results.

Analytics and Production

The host touches on analytics and production, explaining how these processes are used to extract insights from data and create valuable products. He mentions the importance of support analytics and the role of production companies.

Object Detection and Classification Revisited

The host revisits object detection and classification, emphasizing their importance in various applications. He mentions the need for accurate data labeling and annotation to train effective models.

Data Annotation and Segmentation

The host discusses data annotation and segmentation, explaining how these techniques are used to label and segment images for machine learning tasks. He mentions the importance of pre-annotation and the role of segmentation in various applications.

Nvidia and Video Conversion

The host discusses Nvidia and video conversion, mentioning the use of Nvidia devices for video processing tasks. He touches on the trade-offs between performance and memory when converting videos.

Final Remarks

The video concludes with the host making some final remarks, expressing his appreciation for the audience and encouraging them to continue learning and engaging with the community.

Summarize any YouTube video in seconds

Get summaries like this one for any video, in your language, with the free Summ app.

Download on the App Store
Get it on Google Play

Transcript

Full transcript of “Ứng dụng của AI trong các bài toán thực tế”. Click a timestamp to open the video at that moment. Need another video? Use the YouTube transcript generator.

0:06 Um, can I know today? where python door they python door? Wow home 90 big moon? oh my you might not even more like i already Um, Very clear. OK Google

1:08 Hey, he let me know like about. You get a tattoo? remember Foreign

1:57 Okay. they wanted Okay. and Oh, here

2:49 Oh, okay. Miss out. he please.

3:50 Team the Calamity I'm good. here. please subscribe. He died.

5:01 while being say that I love Don't go away like that. I Don't know. then Bye they like about you. then I got Yeah. well

5:47 I just Let me talk. to you. Um or even data help me when the but I hope you are. Okay.

6:40 That I mean we were inside now, okay. description and description function name industry night for my God Corral level. Google. title. Job description title, location description function industry level. hey.

7:37 name industry night for my God, whatever. Hey Google. Hey that the junior audience in your here you know that my man. Can you hear? All you have to do. okay job description.

8:30 Talk about me. Tell about me. No Cup mean well. cool pineapple too My arms are yeah. level 29 hey, Google

9:41 oh look at god idea here

10:27 Yeah. Okay. Mean I give you. these are only about So he came here. Baby, like chicken team the more

11:12 King Louis for her Channel. It is. He enjoy Fame. Welcome back.

12:00 the what he complet. Junior famech. Coming here.

12:48 here Foreign speech. Foreign speech. Foreign speech. That's a child. He he. here

13:41 me that contact me. So I didn't mean Taylor. Okay, they offer. Okay leaving now ever. but yeah you Okay. hi, okay. Oh my okay. Contact me. Contact me. Oh, yeah. No, no. upcoming value

14:39 He look underway corporate my way. do you mean? he'll tell Hema hot tube Vietnam complet? there you

15:37 Okay. here, you know simple. English. Of vietnaming about meeting a channel called Lincoln Continental. It will not turkey. Yeah top TV. All

16:23 right. you are here whole head is that it no. Yeah. the Nila Hong Kong and cabin

17:12 here. CEO CO8 Now talk about Visalia. Vietnam here. here CEO What is reason? the sound V sound like team Viet linking indeed, but he will

17:59 continue. these are So good job my level you didn't. Lincoln indeed. Job, never counted in my hand. the good.

18:55 complet Uh, job communication video here

19:44 we sound like a job level CEO CTO CEO Auto in good. news Vietnam workload Lincoln the Google Do you? but about CEO, CTO, COO here Tina Top CV. Vietnam data

20:31 job when he tend to give you. More good job team. More good job team. Give it easy. Oh CTO. CEO learn you talk about should he says that? Talk about Q. I CEO, CTO, COO

21:23 the long I don't get it. He went out my Poland DM sound he completely about it. quite old tester The home town. Where did you hear? Well, I don't know. I don't know.

22:11 Well, all right. Private Channel. they are. Hey there. to the horsey approach you own CEO when you complet. here, you know, how posting about letting you know, well here. private channel.

23:05 when you Why? China libert it

24:02 here

24:53 le;? the 1180 that I you

26:02 Ngoa Hai. Chang man to joke please No, no you. might okay.

26:59 a good community job description how hot after you see me so hard. Shimla the job 19 match with a CV now the job here.

27:50 Are taxi. It got a note he know yeah like Like I quality connect Bachelor combo that I I

28:56 just a call wake up at I description

29:55 here like okay job description. We got title. description. description here job description please

30:56 How how is going well? the I know that you're looking for this company? I happen. I have a good position. We could be a good match for you and I want to learn so yeah. okay. email. Okay message. I really good. But yeah. I know that you're working for this company. I have an I have a good position which could be a good match for you. and you

31:43 just random? Okay. Okay, Siri. The okay job description make a guy CV going to be here. Back I job description. Hai. here

32:37 Job description. We could talk about.

33:55 it Now completing the tranquility. know like I'm not.

34:51 Okay. What the job description requirement here TTT Channel

35:38 United regular expression lazy, no, it's a great. email? later? Yeah. and you just continue?

36:25 Data scientist. Well, thank you Vietnam commun. about conching more lemong suing on

37:18 To having trouble infinite I could Medina Vietnam commun to Data Center data and This night whatever. machine learning engineer Near United well the hack it Tina.

38:06 here you Machine learning engineer. Okay. No problem today. well, well here job description. Doctor, doctor, match job description. The soccer ball then you talk about We're more monkey job.

38:54 He means they come. Okay, let's go movie. Okay Vietnam. Okay CV no messenger. no messenger because you go. so let's talk about the town. Okay, but I said to look good. Okay my channel. Short Rely, sauqui mamina. Minhagui Hai Greetings. Is here positive? Positive laugh and hoi good. Lord that I

39:40 hope you like behind love phanoi to that negative. negative when he was like interested well, but you know, right. people negative.

40:30 guy fortnite data headphone, and it was

41:29 while making the Lamb of a teaching Wow, it completely the name of modern Africa. now, we got it. He just data right here

42:31 I mean It is. okay tonight. Okay. here

43:50 Okay, didn't I completely? the company Yeah here. Quan your TV like okay

44:50 here you yeah. right Hai backhandle is already you.

46:14 It model. Hema mean lunch one time so then you know same like

47:08 One time so then you know, we celebrate, you know complete. game tomorrow here today

48:01 Okay. no no game. What about Saturday? who eating you get in? Oh. well come here. Okay. Till I can definitely all right. He Say quiet here.

49:07 can. Yeah. My second home. I can do to send like a completely out of the Soul money. Maybe easily always.

50:01 here you complete data and I said, okay. Neymar who knows that you

50:48 Okay. data warehouse. Um

51:36 and I look at I mean, I mean I completely Go deny, like a complet. pepp Ina Viet MC. Yeah, make sure big

52:21 scene Like to be nice here. Alright. library

53:32 It is. you guy. Back, okay. That I will always.

54:39 but it is here you

55:35 Game right here. more videos Yeah. until about About Nvidia. not just a device just Yes soon. No, no. Come on.

56:20 Good. like but not Nvidia hardcore the London guy. come here, right? Okay. CPU. nokozi poo, but I don't know. no matter the Okay. Right. Nvidia CPU. Okay. okay.

57:44 Later, take me go and media. And yeah. yeah, right he but mean I More often could be gay. he come on. Yeah here. Now, you know the Streamliner. Night time. All right. The good here.

58:44 Why Mom? I said, I don't know it. He never know. only M Tina. Hi, welcome. all Hi man go back and go back and moving. Okay.

59:32 OB Semi sem detection. Came here. tonight Okay.

1:00:23 Don't know even if you listen. object the detection Right, okay. cut Coincide at home. so good checking. object checking Account checking account, you know. object Edition you see Cut. Object checking. Object checking.

1:01:17 Maybe today Object detection. Can check that calzone? Well, there's already took a cooling here. So the only glass indication could See fication why like I

1:02:06 know in Miami. Oklahoma Classification. Last cification one here right? I didn't mean no money tonight, right?

1:03:06 here. Welcome. CPU memory. Memory. The law. Oh fun Jam, so you Don't know. how they just

1:03:54 Oh, yeah. right but now that I foreign. deployment today. Oh yeah. I'm sorry. Well, then I deployment.

1:04:58 Chin Hai no change it today. Right here. you know, yeah, well, I just

1:05:43 Gambling movie night. and well Not okay. here about the better for me today.

1:06:32 Got Nina. No, yeah. Okay. that I That honey.

1:07:40 Yeah. Well what Amazon welcome. I just so

1:08:29 Okay Ming. guy. These are not. Okay. Mongolian Channel

1:09:43 Alright, okay. Okay, but not okay. Hi. I mean, oh didn't win even occlusion only. Go back go back. I mean you Want you? here Okay. Okay. occlusion. won't be

1:10:37 here learn Hey, Google. Hey. of mentioning Zuma, but you know

1:11:27 Okay. Save that. the Okay. There. other day Monica

1:12:17 may not hear How much? Hello. Yeah. that Villa not Be like, but you know what he knows. him. Feel good. Like a whole circle. goodbye to not say home you tomorrow

1:13:22 and you yeah. Fore Now monkey about it. Master. How master that you making it Yeah.

1:14:18 Mastercheign. he or how to data down here

1:15:07 you I will talk about harmful that I see now. some Come vision. by Tran. commun ities night night be sorry. Up close and then occlusion.

1:15:53 hotel and limit Fine. up up lotion. the lion Lab, looking good. Oblution. Why don't I? Up close and jump up.

1:16:38 next make me uplion. Oh, yeah. closer than I the because often if you like Occlusion. Yeah. Conclusion. temporal that I

1:17:27 power row Object detection the lazy and I okay. here. model. Temporal. Uh temporal object detection. here more here, you know fully occlusion. That's okay fully upload. There are the be checking plan. a plan.

1:18:17 Like he La Vietnam. here online Hai offline check online at the like the humming in now. Here check online like you call. Or like you call it now maybe me know that I love you. he say right? Okay.

1:19:20 Right here. know who here you

1:20:35 here right, okay. There they look guys and from Mommy now my complete. the power company that I just

1:21:36 Loi so I mean I Can't do that. I continue. completely connecting Vietnam connect Ing oven, okay. Come on here.

1:22:35 Yeah. Let me down. Let me know. How about same that? I? now Vietnam All right.

1:23:22 Okay. now No, no. you. Just wait. you.

1:24:26 All the holiday. Are you? Okay. you are

1:25:22 Doing coming out of here. you Based onion no. idea between here

1:26:17 you the lamb cell day Hong Kong vegan tip Hong Kong community.

1:27:25 here. We continue. About You video video on you you

1:28:19 Oh, yeah. Come on, Nina. Got Tina. See you there. No. Yeah. Panoramic are about now

1:29:24 that you know, yeah. Okay. something listen and yeah Like we said, yeah. My camera Zone wait cover. give more coming here. Okay lens Mongolian said who Vietnam I mean more time. OK Google. Sorry back again.

1:30:16 Later to help go there. tonight. But yeah.

1:31:02 I mean lamb sound my chief got more camera doesn't know but go too, you detection. Object detection. I mean lamb

1:31:49 sound my chief got more camera doesn't know but hey, Google. classifications Martini lavema Al quakular out then here

1:32:52 that is coming over here actually recognition. they actually well Obama. you know guys statistics more team statistic for highlight personal statistics Team statistics team. go to swim because you Action recognition. Action recognition. Okay. Teams that like a team statistic. Team statistic. We're not. good well. Personal statistic. Team statistic

1:33:55 How much are you? Personal statist on target. Okay. my channel

1:34:48 please. bombing they must No Hong Kong. to the land you know

1:35:37 that I completely very down Here now. you Lazio Roma Vietnam because you Roma

1:36:25 video please Oh, right. We're completely right. here

1:37:34 That's okay. he Good. I know. Okay, go united.

1:38:31 autom Got the dimming. and image. like that I

1:39:19 I It opens ago video. Thank you. again Okay. Naughty alamink. Okay frame rough raw raw frame it again.

1:40:07 Hangout Frame raw frame frame detection classification You know. Now yeah, okay making me find a minime.

1:40:53 okay that I must. By the way, I'm sorry 2K. I'll put it. Okay. calibration. Cal Bird eye views. standard view that okay. Who won? Thank a minimately. one then only Bird eyes calibration. here

1:41:43 continue. Convert standard viewput calibration. because you Analytics. that's okay. He's over here. okay? so when I'm a complete

1:42:46 I mean you know that. I I guess I'm too high because I'm broadcasting broadcasting Tina.

1:44:05 I maybe production how to production company. now you interested reason of Internet he who doesn't know. Well, then I'm so human now that yeah. Follow hang that will go to well Hai that we could. how to production how to production right now.

1:44:51 follow. Auto production. Auto production. you They're not good. Here. okay panoramic view Okay coming over time.

1:45:41 well if you Okay. Like, okay. Spot support analytic. right now. Okay.

1:46:32 you you Support analytic. might think that the input of our Channel. Now go hardiko have a meeting later today

1:47:21 oh as I have only here tomorrow.

1:48:16 that I

1:49:09 the United To be done. I'm gonna moving tell Me when you know object detection area code tonight. because uh object

1:49:54 detection classification. Okay. knowing that I go to.

1:50:39 see Set a complet. foreign. I'm not see Um, Car, um, can I get out and I got data labeling Hai annotation? Come back. Tell me.

1:51:28 that I Data labeling data annotation. Go to around here. go to Adonai. So I was in I hang up on you now Well, demon China even five, you annotation. here

1:52:28 he told Vietnam because you It up. here. That's about a Vietnam.

1:53:15 kid of Vietnam commun. He celebrating at night. already. Met classification. I don't know they got one for Life Okay, so I was right here too.

1:54:16 data annotation or the labeling like that? I and I could Click, well object you. Must cementation is right here.

1:55:02 free annotation. Does he come here? They wanted. I segmentation pre-anotation

1:55:56 Here season are not gang by head against. because Could be what Nvidia take about space La Mot? Fore, Amazon. vanilla about moonshin family about five convert. No, thank

1:56:41 you exact my heart you go. He looked like that. I conver Nvidia. I like a complet. well. Hey there you. Justin saviano you device.

1:57:32 Exactly. that I right email come back Saturday like about that. video converter, you know. he know it memory on some cake performance. He got new life. I bet you sacrify everybody. he sing. Yeah. He

1:58:30 relative equal and media, Tina Are you? apply Tia planay that Long they look at exactly. because for don't like maybe Okay. what he might. Okay. banana for

1:59:16 another lackaw when I say I love you, baby. Okay, Michael. Okay.

2:00:05 Here, okay. Okay. So okays are coming. But yeah. foreign. Okay. okay that I

Share

More video summaries