The Erium Podcast – Data Science & Machine Learning
EriumDer Podcast für Young Professionals, die wissen möchten was hinter KI, Machine Learning und Data Science steckt und wie damit gearbeitet wird. The Erium Podcast räumt mit Mythen auf, gibt Einblicke in die Welt und Algorithmen der Data Scientists und zeigt euch die Power von Machine Learning. Master the Complexity!
| Publishes | Twice monthly | Episodes | 106 | Founded | 6 years ago |
|---|---|---|---|---|---|
| Language |  German | Categories | MathematicsTechnologyScience | ||
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Latest Episodes
In dieser zehnten Folge ist Andreas Kalapis, Managing Consultant bei valantic Management Consulting, zu Gast. Mit einem Master of Science in International Management von der Goethe-Universität Frankfurt und Studienerfahrungen an der University of Wis... more
In dieser neunten Folge spricht Theo mit Hagen Müller – Wirtschaftsprüfer, Steuerberater und Senior Partner bei der dhpg. Mit einem Hintergrund in Betriebswirtschaftslehre und seiner Bestellung zum Wirtschaftsprüfer im Jahr 2015, teilt er seine Erfah... more
In dieser achten Episode ist Alexander Baruschke, Gründer und Geschäftsführer der Baruschke Zimmermann GmbH, zu Gast. Mit einem Hintergrund in Volkswirtschaft und Politik und vielseitiger Erfahrung in der Unternehmensberatung, teilt er seine Expertis... more
In dieser siebten Folge ist Adrian Czerny, Partner bei Stanton Chase und Experte für Executive Search und Leadership Consulting, zu Gast. Mit einem Hintergrund in Business Administration und vielfältigen Erfahrungen aus der Logistikbranche und dem Fa... more
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- Toller Content für Data science
Bester deutschsprachiger Podcast für das Thema!
Apple Podcasts5mghtw11Germany3 years ago - Top Resource für Data Science
Ein sehr informativer Podcast mit interessanten real-world Beispielen. Die Jupyter Notebooks, die vielen Folgen beigelegt sind, sind top!!
Apple Podcasts5Michal Sinka
Switzerland4 years ago - Höchst informativ und intelligent
Höchst informativ und intelligent, ganz zu schweigen von der professionellen Produktion.
Mit Gästen aus den verschiedensten Ecken des Data Science Spektrums. Weiter so!
Apple Podcasts5InTheAveGermany5 years ago - Klasse Podcast mit hoher Relevanz für die Industrie
Hochrelevante Themen der Industrie einfach auf den Punkt gebracht. Sicherlich eines der Highlights in Bezug auf Niveau und Qualität unter allen IT Podcasts.
Weiterhin viel Erfolg
Apple Podcasts5michael.miedanerGermany6 years ago - Gut gemacht
Unaufgeregt, unterhaltsam und informativ, schön zu hören und auch noch verständlich für den interessierten Anfänger...
Gerne weiter so!
Apple Podcasts5EvoEckiGermany6 years ago
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Frequently Asked Questions About This Podcast
What is This Podcast about and what kind of topics does it cover?
This podcast focuses on demystifying artificial intelligence, machine learning, and data science for young professionals eager to understand these technologies. Through insightful conversations with industry experts, it explores practical applications, strategies, and challenges associated with integrating these advanced technologies into various fields. Episodes often highlight real-world examples and provide listeners with the knowledge required to navigate the complexities of data-driven decision-making in professional environments. Unique to this podcast is its strong emphasis on actionable insights that empower listeners to harness the potential of machine learning and data analytics effectively.
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this podcast launched 6 years ago and published 106 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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What guests have appeared on this podcast?
Recent guests on this podcast include:
1. Andreas Kalapis
2. Hagen Müller
3. Alexander Baruschke
4. Adrian Czerny
5. Dr. Robert Stephan
6. Sarina Wittchen
7. Niklas Niehenke
8. Günther Wurm
To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.