data

Machine Learning

DataScience

data science

Lyt med, når IDA Podcast sætter fokus på evolutionære algoritmer og kunstige neurale netværk. Det er kognitive teknologier, som er fuldstændigt centrale for udviklingen indenfor kunstig intelligens i dag - og ikke til at overse, når vi skal forstå det eksponentielt accelererende paradigme, vi lever i. Vi stiller også skarpt på spørgsmålet, om maskiner kan være kreative, og på den vigtige rolle, kunstig intelligens spiller i en verden, hvor datamængden og processorkraften bare vokser og vokser. 

Podcasten er produceret af Danmarks ingeniørforening, IDA, i samarbejde med Brain Gain Group. Episoden er den tredje i en serie om fremtidsteknologi.

Medvirkende
Sebastian Risi, Associate Professor ved ITU og co-director for forskningsenheden Robotics, Evolution and Art Laboratory (REAL): http://bit.ly/2kTEKOC 

Thomas Terney, ph.d. i kunstig intelligens, foredragsholder og iværksætter: http://bit.ly/2kOQlik

Vært og tilrettelæggelse: Matias Seidler
Producer: Tobias Ankjær Jeppesen
Lyddesign: Alexander Clerici



SHOW NOTES

[00:23] IBMs Deep Blue blev den første computer som slog en stormester, Garry Kasparov, i skak. Det skete i 1997: http://bit.ly/2kIkvkB

[01:32] Link til præsentation af Henry Lieberman, MIT Media Lab, som forklarer forskellen mellem symbolsk (klassisk) kunstig intelligens og subsymbolsk kunstig intelligens: http://bit.ly/2k4lN7X

[02:05] For en frisk introduktion til Deep Learning, tjek WIREDs artikel, ‘Why We Need To Tame Our Algorithms Like Dogs’: http://bit.ly/2kIIqQV

[02:45] Forskningsenheden på ITU, ‘Robotics, Evolution and Arts Lab’, kan du kigge nærmere på her: http://bit.ly/2ksAxAE

[03:27] For en illustrativ oversigt over hvad biologisk inspirerede algoritmer har af anvendelsesmuligheder kan du tjekke tag-søgningen på Robohub.org ud: http://bit.ly/2knkZf1

[04:42] Der er flere internationale priser og konkurrencer om at løse ‘General Artificial Intelligence’-udfordringen. Se bl.a. denne på 35M$: http://bit.ly/2knrUVA

[06:32] Thomas Terney taler om styrkeforholdet mellem neuroner (eller enheder i netværket). Det betegnes som ‘weights’ på engelsk. Her er der en tråd med en række forskelligartede, uddybende besvarelser: http://bit.ly/2k40vMx 

[08:51] Baidu er den kinesiske ækvivalent til Google og har i januar 2017 hyret nogle af Microsofts dygtigste AI-udviklere: http://bit.ly/2lrPuS1

[10:34] Se NASAs whitepaper ‘Automated Antenna Design with Evolutionary Algorithms’: http://go.nasa.gov/2llsiYO
 
[11:32] MIT Technology Review har en interessant artikel med løsningsforslag på problematikken: ‘Algorithms That Learn with Less Data Could Expand AI’s Power’: http://bit.ly/2ksG1M2


[14:23] I 2016 trak Googles AlphaGo headlines i hele verden da den slog Lee Sedol i det - i forhold til skak usammenligneligt - komplekse spil, ‘Go’. Og AlphaGo bliver ved med at sejre, se bare her: http://bit.ly/2k4t7jK

[19:57] Apple er i fuld gang med at anvende ‘unsupervised learning’-princippet i udviklingen af selvkørende biler: http://bit.ly/2lplN3e

[21:23] ‘Do you think computers have minds?’ Det er ikke kun Sebastian Risi, som synes det spørgsmål er godt. Bevidsthedsfilosofien har søgt seriøse svar på det, helt siden Alan Turing formulerede sin berømte test i 1950. Det er blevet omdrejningspunktet for en filosofisk tradition, hvis mest interessante og udfoldede svar elegant beskrives i The Internet Encyclopedia of Philosophy: http://bit.ly/2k4Bqw5

In this episode of the SuperDataScience Podcast, we are bringing you into the future as Hadelin de Ponteves and I discuss the key data science trends to look out for in 2018 including those we are most excited about and why. We will discuss about Blockchain and AI as a powerful disruptive combination, talk about how Deep Learning technology is becoming a mainstream, mention the different upskilling executives in data and discuss about the importance of data strategy.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/119

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

SDS 119: Data Science Trends for 2018

In this episode of the SuperDataScience Podcast, I chat with the Senior Consultant of Data Science at b.telligent, Dr. Andreas Hopfgartner. You will discuss the "Internet of Things", Sensor Data, and their integration into our daily lives; you will also know the different skills, techniques and the future of some of the tools used in Data Science; and also learn a systematic and structured approach to breaking into a Data Science career. 

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/143

SDS 143: Why Sensors and the Internet of Things are Becoming A Critical Part of Data Science

In this episode of the SuperDataScience Podcast, I chat with the aspiring data scientist, Mike Taveirne. You will discuss the five stages of data science process for starters, get valuable tips for people who want to learn and transition to data science, and know how to apply your data science knowledge to your hobbies and interests.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/159

SDS 159: From Developer to Data Scientist

In this episode of the SuperDataScience Podcast, I chat with the Founder and Chief Technology Officer of Kylie.AI, Sinan Ozdemir. You will discuss Feature Engineering and why is it vital in interpreting and analyzing data models; you will also talk about Automated Customer Care Services and its importance in the future of enterprises, and get insights on why humans should ensure that AI is ethically responsible when serving humanity.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/161

SDS 161: Using AI to Automate Communication

In this episode of the SuperDataScience Podcast, I chat with the Director of Solutions Engineering for RStudio, Nathan Stephens. You will discuss about the analytic admin concept and the idea behind this role, know why the R language is the most inclusive programming language for other languages, and talk about analytics infrastructure & how this can be used in the data lab and the production environment.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/171

SDS 171: Deep dive into R Programming & R Studio

In this episode of the SuperDataScience Podcast, I chat with the President and Editor at KDNuggets, Gregory Piatetsky-Shapiro. You will talk about the recent advancements in Data Science, know how Reinforcement Learning can greatly improve the AI capabilities and discuss the noticeable growing trend of automation in the field of data science.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/175

SDS 175: Insights from the Founder of KDnuggets

In this episode of the SuperDataScience Podcast, I chat with the aspiring data scientist, Zach Loertscher. You will talk about the current state of Data Science education, know how you can build your data science career through self-learning using the available resources online, learn how to build your own portfolio thru LinkedIn, and also know how to help back in the Data Science community.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/177

SDS 177: Building a Career in Data Science

In this episode of the SuperDataScience Podcast, I chat with Data Science recruiter, Matt Corey. You will talk about Matt's role as a Data Science recruiter, get interesting tips and insights about what recruiters look for in finding candidates for a data science position, and you will also know what are the things to expect from a recruiter and how intricate is the role of a good recruiter in Data Science. 

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/179

SDS 179: How a Data Science Recruiter Thinks

In this episode of the SuperDataScience Podcast, I chat with Founder and managing partner at velocitygroup.io, Tim Lafferty. You will discuss about Tim's insights from his consulting experience in the space of Data Science, talk about the 3 main aspects of the life cycle of a successful data project, and also know the 10 things that a degree won't teach you.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/181

SDS 181: 10 Tips from a Data Science Consultant

In this episode of the SuperDataScience Podcast, I chat with the Founder and Chief Technology Officer of CirroLytix Research Services, Dominic Ligot. You will learn the 3 verticals in starting your own analytics business, talk about where the world is going in the space of data analytics and know the demands for analytics from the industries and businesses.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/183

SDS 183: Everything about Data Analytics & its Future

In what situations in your life can you apply the concept of FIFO or LIFO?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/184

SDS 184: Why You Need Domain Knowledge in Data Science

In this episode of the SuperDataScience Podcast, I chat with the President of McKnight Consulting Group, William McKnight. You will learn about the right pre-requisites in order to have a right analytics organization, know the 4 components of data maturity of an organization, and also find out the 5 different stages of which level an organization can be.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/185

SDS 185: The Pre-Requisites for Analytics to Happen

In this episode of the SuperDataScience Podcast, I chat with the Data Science Mentor, Randy Lao. You will learn how Randy Lao made a big rise in LinkedIn starting out from 45,000 followers and several Data Science jobs in just one year. You will also discuss the whole process of getting a job in Data Science from preparing your portfolio til' getting those data science jobs & opportunities, and get to learn that one thing that Randy is very passionate about which is the "end goal of Data Science".

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/189

SDS 189: How I Got 45,000 Linkedin Followers in One Year

What do you think is your greatest weakness?

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/192

SDS 192: Ace the "Greatest Weakness" Interview Question

In this episode of the SuperDataScience Podcast, I chat with the Epic Life Coach, Carl Massy. This episode is a total pause from the Data Science world as talks about the secret to happiness. You will know what led Carl to follow his passion in helping people find inner happiness, learn how to establish daily rituals to have a solid foundation, and get the 3 valuable tips on how to change your state of mind.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/197

SDS 197: How to be Happy and Successful

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 179: How a Data Science Recruiter Thinks

Super Data Science: ML & AI Podcast with Jon Krohn