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Transcript
- 0:01SPEAKER_00: Ma hamatava nashima nahnube odsa kustava Ken Zayom, Fatrima Kutsa Kustah, AI Dabel, Buzzword, ML, Deep Learning, Data Science, Technologia, and I'm not going to be able to get the first thing.
- 0:41SPEAKER_00: So, and welcome.
- 0:47SPEAKER_00: So, we have to use the same thing.
- 2:36SPEAKER_00: Okay, so we can analyst, uh, can you as well?
- 3:15SPEAKER_01: AI, often automatically, the course, uh, tulfany has it kilo colour of the hotitza.
- 3:38SPEAKER_01: Avalima tahum metachnet, it's a very good, mashushekil Sebashnia, Lanu ka tchovcama if him, at its case options, the call de varia hold bitum la vovilashlata.
- 3:54SPEAKER_00: Can a valima takovotov hot dog or not hot dog and it's cavanti hot dog.
- 4:11SPEAKER_01: Ivo the zin, kamut me oddman modola shelt munot ko mm shell kelevma, the same.
- 4:26SPEAKER_01: Lavo veladat, makula features, shanim kelev.
- 4:29SPEAKER_01: Makula features shamafyanim katul, Brice Shaker Bachama, uh, the oznaimum dot, weze.
- 4:40SPEAKER_02: As an Yosef, uh domain, it's Michael Vovel parametrium we have shrimp, so we have to algorithm, mathematics, we'll be able to get the same thing parametri machin the computer vision class, and feature him too.
- 5:46SPEAKER_02: Bonnire, the varishon, amon, at a algorithm.
- 5:54SPEAKER_02: Call he put by Google, audio, telephone, the AI text.
- 6:06SPEAKER_02: Call me, but online how to call as man ka day bonus, and YouTube or call platform.
- 6:56SPEAKER_01: She's a very similar output, but we're going to model a sort of personalization of BI, Netflix, she's a sort of sugameze genre, and we can see that.
- 10:05SPEAKER_02: And the text, we are texting.
- 10:11SPEAKER_02: We text stack overflow, we can see the GitHub, call GitHub, call Wikipedia.
- 10:20SPEAKER_02: Call text, we've got transcription YouTube and call, yes, the data set.
- 10:29SPEAKER_02: And we have milliards parameters.
- 10:32SPEAKER_01: Parametrium, Michel Lamak, and parametri and hyperparameters.
- 12:19SPEAKER_02: Contra la co-pilot GitHub, okay, alpha code.
- 12:34SPEAKER_02: Anilode, the Talou by Google.
- 13:18SPEAKER_00: AI machlif and a shimmatasia, the Lomash.
- 13:45SPEAKER_01: Google it's suit.
- 20:32SPEAKER_01: Okay.
- 20:35SPEAKER_02: As Zeliga Bay Truman biologists, the bar no code, GPT-3.
- 20:46SPEAKER_02: Deep mind the Google.
- 20:50SPEAKER_02: As well, the Trumakh, the GPT-3, Metzakamolo, if Shark Varium is a very good thing.
- 22:01SPEAKER_02: We have a gitlit, and we have a lot of people who have a lot of people, and we have a lot of people, and we have a lot of people, and we have a lot of things, and then we have to go to the house.
- 46:25SPEAKER_02: The sentiment analysis and vampire.
- 47:45SPEAKER_02: Okay, as a committee varim shallim and modules for him.
- 48:28SPEAKER_02: Methodological tapito, intuitive, we're talking to you katan by data, but it's a very good idea.
- 49:06SPEAKER_00: Hello, Shav.
- 50:51SPEAKER_02: Hello, data scientists.