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27 - Does your project even need machine learning?
Arşivlenmiş dizi ("Etkin olmayan yayın" status)
When? This feed was archived on February 27, 2024 11:13 (). Last successful fetch was on November 09, 2024 16:14 ()
Why? Etkin olmayan yayın status. Sunucularımız bir süredir geçerli bir podcast beslemesi alamadı
What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.
Manage episode 281347113 series 2848277
When most people think about data science, they have some sort of Machine Learning in mind. But the truth is many data-intensive problems don't need Machine Learning, even in big tech companies like FAANG. In this episode, Nima will share the reasons why he went from a researcher in Machine Learning to become a data-driven problem solver and give a couple of tips on how you can make that transformation too.
BTW, if you are not a data scientist yet, but want to become one, you should really attend our webinar. We will demystify the transition into data science. We will show you the most effective way to build your skills. And we will advise you on the four possible options you can take to go from where you are to landing a data science job in as little as 9 months. Find out more here.
Bölümler
1. 27 - Does your project even need machine learning? (00:00:00)
2. What most people don't know about FAANG companies (00:02:03)
3. Wide and narrow definitions of data science (00:02:57)
4. Does your project need Machine Learning? (00:04:57)
35 bölüm
Arşivlenmiş dizi ("Etkin olmayan yayın" status)
When? This feed was archived on February 27, 2024 11:13 (). Last successful fetch was on November 09, 2024 16:14 ()
Why? Etkin olmayan yayın status. Sunucularımız bir süredir geçerli bir podcast beslemesi alamadı
What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.
Manage episode 281347113 series 2848277
When most people think about data science, they have some sort of Machine Learning in mind. But the truth is many data-intensive problems don't need Machine Learning, even in big tech companies like FAANG. In this episode, Nima will share the reasons why he went from a researcher in Machine Learning to become a data-driven problem solver and give a couple of tips on how you can make that transformation too.
BTW, if you are not a data scientist yet, but want to become one, you should really attend our webinar. We will demystify the transition into data science. We will show you the most effective way to build your skills. And we will advise you on the four possible options you can take to go from where you are to landing a data science job in as little as 9 months. Find out more here.
Bölümler
1. 27 - Does your project even need machine learning? (00:00:00)
2. What most people don't know about FAANG companies (00:02:03)
3. Wide and narrow definitions of data science (00:02:57)
4. Does your project need Machine Learning? (00:04:57)
35 bölüm
Tüm bölümler
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