Відео

I missed this. Can't wait to get off work and watch it

Okay, all good. But why does this guy make a fake style & accent?

You can't sell your app to Wall Street without proprietary code

Awesome, awesome video. Kurtis story was so cool as well as Kens insights and resonance. This has been on my watchlist for a while and I finally got round to it. Two of the best in the game. Very profound conversation and I learnt a lot. Key takeaways: filtration in terms of who your using to learn from is key, increase your luck surface area by unwavering belief in yourself and showing up, using conversation and writing in tandem to clarify your thoughts, how to respond positively to loss and grief, deliberate practice to become proficient at ML and code, the influence of your environment on your decision making, reading good books consistently continual learning

All of the episodes in KNN are wonderful, but this has to be the best and most informative episode. Thank you Ken

Tinder for Ideas lol

I previously didn't realise those lunch&learn streams serve a significant purpose to keep her procrastination in check.

I'm also transitioning from Sports science into Data Science. Lovely to see my similarities with Nash. Great content

thx

Honestly it is hard to be a data analyst as a consultant before you might not understand the business well. The corporate culture needs to change:improve. Remember supervisors are humans. The bad supervisors can be an issue of the company.

I have been following Chris Deotte on Kaggle for a while now and always learn a ton from his notebooks. This was a great interview, great stuff @Ken and @Chris,

Best ever podcast

This is such a high value interview that deserves hundred of thousands of views! Or at least however many Aspiring data scientists are out there 😂

This is awesome! I've also found the importance of cross domain expertise, applying basketball and investing concepts to how I approach data science. Thanks for pointing this out!

Chris is a phenomenal Kaggle community member. It's hard to think of anyone who has contributed more than Chris.

Love the sun glasses

i'm from the caribbean, this was an inspiring episode!

Thank you for making this podcast! Excellent sharing

These podcasts are a diamond in the rough compared to other podcasts! Thanks for putting out great content non-stop 🙏🏼

vvt

Who is this

That's so wild!

🌈 'Promo sm'

what happened to ortus?

Exactly. Self discipline is a myth. We do what we are motivated to do.

This was a great video. I am still fresh in the realm of data science and haven't attended these type of conferences yet. So my question to you is, what questions would I ask role models like you or anyone else in these conferences? I tried to think of some possible questions but nothing came to mind. Thanks for your time and have a good day

My unfair advantage is I was born in Canada 🇨🇦 and made my way into the US (I was not complicit as I was only 6 years old) with my family under the guise of heading into the US on a family vacation only to permanently reside in the US and becoming legal 3 years later. I’m now a US Citizen which is an unfair advantage compared to the rest of the world who didn’t start with the same advantages. Adding to that I’m a well built male at 6’3 and due to my passion for learning I really have an unfair advantage because I have access to a lot of free information along with a society that allows me to represent myself in various platforms and arenas. How many people can say that they have fought the law and the law didn’t win? I know Jesus was victorious over the Pharisees and Sadducees and after losing my job in 2021 and becoming almost bankrupt I was sent to collections and later sued by junk debt buyers. I did my due diligence compelled the junk debt buyer into arbitration (see arbitration clause in most credit card agreements) and I won based on the fact that the junk debt buyer was unwilling to provide their purchase agreement but instead tried to use out of context exhibits in violation of original documentation rules and hearsay rules of evidence. So did I have an unfair advantage, in the context of the rest of the world, yes. In the context of every American no.

Wes McKinney is my idol and I am at least 10 years older than him! lol

❤, great discussion.thanks

She's covered in oil sitting on the bed. I didn't know what to expect.

amazing insights!

My favorite speaker you’ve had!

Thanks so much for having me Ken!

17:25 wouldn't that quantified information just be referring to your personal probability about whatever it is?

What's his name

Really glad to see Nick's episode out finally! :D

Great interview, please help bring Shashank kalanithi again. I really need him back

I loved the link advise by Nick, such good info

Fantastic discussion! Lots to think about.

No time stamps ?

It's better to have something poorly written than not have it written at all. 🔥🔥

Her communication skills are so good

Ken I've been watching your podcasts lately and they have a tons of value. Keep pushing!

Two legends

Have you sent a comment about the RFC about potential legislation on open-weight ai models? www.regulations.gov/document/NTIA-2023-0009-0001 www.ntia.gov/federal-register-notice/2024/dual-use-foundation-artificial-intelligence-models-widely-available#

Love watching these interviews, going after you own goals is hard but rewarding!

Love the name of the podcast!

thanks Hunter for your great insights 🔥

Recently started following this channel and I'm enjoying all these conversations 🙂

This is a very good eye opener and timely information for me. I am currently working towards switching from ICT educator to a Data Scientist. I completed my first course couple of weeks ago and now on to a year long course with Alx. I also happen to start An MPhil in Management Information Systems, is this going to be a right Masters Degree to qualify me for Data Science role? My undergraduate is in IT Education.