Data Science

NoCopyrightSounds: Dedicated to releasing FREE music!
Like the track? Click the [↻ Repost] button!

Official Video: https://www.youtube.com/watch?v=O3M8zZFF0WM

NCS
➞ Spotify http://smarturl.it/NCSspotify
➞ SoundCloud http://soundcloud.com/nocopyrightsounds
➞ Facebook http://facebook.com/NoCopyrightSounds
➞ Twitter http://twitter.com/NCSounds
➞ Google+ http://google.com/+nocopyrightsounds
➞ Instagram: http://instagram.com/nocopyrightsounds

Tobu:
➞ SoundCloud http://www.soundcloud.com/7obu
➞ Facebook http://www.facebook.com/tobuofficial
➞ Twitter http://www.twitter.com/tobuofficial
➞ YouTube http://www.youtube.com/tobuofficial
➞ Website http://www.7obu.com

NCS Playlists:
http://bit.ly/NCSdrumstep
http://bit.ly/MelodicDubstepNCS
http://bit.ly/NCShouse
http://bit.ly/NCSdubstep
http://bit.ly/NCSdrumandbass
http://bit.ly/NCStrap
http://bit.ly/NCShardstyle

NoCopyrightSounds is a record label dedicated to releasing FREE music for the sole purpose of providing YouTubers/Video Creators with the finest music to enhance the creativity and popularity of your videos which is safe from any copyright infringement.

If you use our music you MUST in the description of your video:
• Credit the artist(s) of the track. (their social network links)
• Include a link to the video of the track used on NCS YouTube.
• Include the full title of the track.

FREE DOWNLOAD.

Tobu - Mesmerize [NCS Release]

Official Video: https://www.youtube.com/watch?v=FkKjZz2vpy4

DOWNLOAD / STREAM.

Itro - Panda [NCS Release]

Listen on YouTube: https://www.youtube.com/watch?v=IIrCDAV3EgI
Listen on Spotify: http://smarturl.it/Candyland_Spotify

Tobu - Candyland [NCS Release]

Tobu - Good Times [NCS Release]

In this session of the Super Data Science Podcast, I chat with Ruben Kogel who has done some amazing data analytics in the startup space.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/1

The Super Data Science Podcast: Big Data | Analytics Careers | Mentors | Success

SDS 001 : Self-serve Analytics, Data Science MBA and Managing a Team of Analysts with Ruben Kogel

We're excited to welcome a guest, Tim Head, who is one of the maintainers of the scikit-optimize package.  With all the talk about optimization lately, it felt appropriate to get in a few words with someone who's out there making it happen for python.  

Relevant links:
https://scikit-optimize.github.io/
http://www.wildtreetech.com/

Scikit + Optimization = Scikit-Optimize

If you work in tech, software or data science, there's an excellent chance you use tools that are built upon open source software.  This is software that's built and distributed not for a profit, but because everyone benefits when we work together and share tools.  Tim Head of scikit-optimize chats with us further about what it's like to maintain an open source library, how to get involved in open source, and why people like him need people like you to make it all work.

Open Source Software for Data Science

In this episode of the SuperDataScience Podcast, I chat with Head of Data Jaco Van Der Berg. You will talk about many different topics in the space of data such as data strategy, data security, data flow within an organisation and the single point of truth. You will also get to learn about managing and hiring for a data science team and will be able to gain lots of knowledge all about the structure of a data team. 

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/55

SDS 055: Building and Managing a Successful Data Science Team

As data science matures as a field, it's becoming clearer what attributes a data science team needs to have to elevate their work to the next level.  Most of our episodes are about the cool work being done by other people, but this one summarizes some thinking Katie's been doing herself around how to guide data science teams toward more mature, effective practices.  We'll go through five key characteristics of great data science teams, which we collectively refer to as "disciplined data science," and why they matter.

Disciplined Data Science

Like the track? Click the [↻ Repost] button!
Subscribe for more FREE music: bit.ly/T7sfag

Follow Disfigure:
http://www.facebook.com/disfigureoffi...
https://soundcloud.com/disfigureofficial
http://www.youtube.com/user/Disfigureofficial

Disfigure - Blank [NCS Release]

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast.

As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.

Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.

We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.

SDS 055: Building and Managing a Successful Data Science Team

Super Data Science: ML & AI Podcast with Jon Krohn

Related tracks