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can you me data set

this was such a nice podcast, i was surprised when it ended because it was so interesting i didnt know id be listening for over an hour

...these online ads should be taken with a pinch of salt. They are all basic and teach nothing. Please do not tale then serious and spend your money. Please do not say I did not warn you. These courses will take you nowhere...

The beginnings of a great motorcycle club…

Thanks for the videos

So underrated

thank you!

Thanks for the video. Appreicate it

Wonderful project! Thumbs Up!

This is the video people should see, instead of the "become a data scientist withoit a degree.." I cant talk like this. I can think like this, but not talk.. because im too shy. And this video made me realize that this is the job.

Thank you for posting this! Very informative on what AI truly is and maybe more importantly, what its not.

You use R. How cool is that

Great video! I really enjoyed the live walkthrough demo of this ML project!! I worked on a project (presentation available on my Channel) in which I had plotted the values of latitude & longitude on the world map with the help of the GeoPandas library. For those interested in the code: import geopandas as gpd # dropping the duplicates and null rows from the pandas dataframe stores_lat_n_long = dataframe[['Latitude', 'Longitude']].drop_duplicates().dropna() df_geo = gpd.GeoDataFrame( stores_lat_n_long, geometry=gpd.points_from_xy(stores_lat_n_long['Longitude'], stores_lat_n_long['Latitude']) ) #get the world map image world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres')) #plot the world map ax = world.plot(figsize=(12, 8), color='white', edgecolor='black') #plot the store locations as dots df_geo.plot(ax=ax, marker='o', color='red', markersize=25, label='Stores')

I mean. A smooth round tumor will be easier to remove with less chance of error or missed tumor cells. It makes a lot of sense that it would be higher chance of survival because it makes the surgery easier and reduces chances of complications.

😮

Would you be wiling to share the code? Thank you in advance.

This science is also how we know the chemical makeup of extremely distant stars and planets.

Fixing this wont solve shit lmfao

Yeah, it's all fun and games now.

Hi

Haha well it's not that surprising, just listen to politicians, they do the same thing

It also won’t tell the truth about race - its been programmed to lie to us about race in the same way every other media source does

Quero saber o preço das baterias

im sorry but is the longtitude should be on the x axis and latitude on the y?

Thats Interesting!!

Isn't it easier to use ArcGIS or QGIS and maybe Excel, to do this analysis?

can you tell me about Data science course Price?

Thank you Melissa for your insights that was very nice, small note that the scatter plots are plotting the same data but that's easily fixable. You explained it very well!

Would love to get more info. Great video!

Is it possible for one to persue the course online and what steps should i take for me to start it?

In all honesty, if you are looking for informative material, then it's RUclips and academic journals, books, and some articles. However, articles like a big part of LinkedIn are mostly sales. You might still get some value there, but the ratio effort/benefit is not super worth it and, no, it's not the algorithm. It's just so much easier finding educational and informative sources on RUclips. LinkedIn is all like "oh just diy", yeah, I will but what am I diy-ing? Anyways, just my 2 cents.

Do you offer admission to international students?

Hi Dear, your videos are not optimized so views are not increasing.

How long did it take for you to learn this?

Raf, this talk of yours is a mandatory step in articulating the valid place of this phase of “AI” in today’s world. As a former student in Zellig’s world (Penn ‘72…), I appreciate your term “generative discourses” as absolutely on-target. But: when I was developing knowledge representation models for the NatSec crowd in those years just before this stuff exploded, I tried to insist (a la Hymes et al.) that text-based discourse is limited by (a) the factors of being positivistic (we don’t have a convenient way of representing the meaning from text alone of what is *not* present, even with Boolean operators), and (b) the fact that human communication and meaning are context-based (cf Sperber; where context can include extra-linguistic meanings such as suprasegmentals, body language, as well as “ethnography of speaking”-type behaviors, e.g. ritual). I realize you are aware of this, as it is implied in your talk and I know you are an anthropologist, but in my opinion, that gap between text and context, or text and meaning, is where the dangerous part of these transformers exists (IMHO). The predictive power of these “models” will have to become so enormous as to be able to predict what is absent (given agnotology) before anyone should trust them further than they can throw them. Thanks for the great exposition.

It's still a big Chinese Room.

Really interesting talk Raf! I've been playing around with ChatGPT and finding that yeah, despite the huge leaps in performance at producing discourse that "smells right" - grammatically, topically, etc - it nonetheless *still* seems to have only a very shallow understanding of symbols and symbolic reasoning. On your last point, that most of what educated people know consists of things other people said - allow me to posit that mathematics has a unique strength. Any worthwhile math course consists largely of recapitulation of proofs of the important results, and assignments consist largely of novel proof derivations. What you know upon completing such a course, you know primarily from direct experience. Furthermore, you can't fake that knowledge in the form of a proof by merely "sounding right", using the right terminology - you have to have an internal, experiential model of the domain of discourse, and your model has to be in some sense structurally isomorphic to that of your peers in order to agree on truth (and math has more consensus than most other fields). Incidentally mathematics is the weakest point of ChatGPT's capabilities.

"Discourse that looks like knowledge" is a great description.

Apa ini pakai platform Jupiter?