Data & analytics
Data strategy & data governance
Tracking & data collection
Webanalytics & on site performance
Dashboarding & datavisualisation
Data engineering & data architecture
Data science & machine learning
Artificial intelligence & deep learning
Marketing & acquisition
Paid search advertising & shopping
Social media & digital branding
SEO & content marketing
Growth marketing automation
Marketing & media performance analysis
B2B sales & growth
Sales & growth strategy
Target definition & sales database management
Prospecting & first approach
Sales techniques & methodologies
Lead pipe management
Account Based Marketing (ABM)
Sales analytics & performance
Tech & web
IT strategy & tech architecture
Web & app development
No code development
Green technology
Cybersecurity
Law & tech development regulation
Web3, blockchain and new web technologies
Product & UX/UI
Product strategy
Product frameworks & methodologies
Modern soft skills
Search
Data & analytics
Data strategy & data governance
Tracking & data collection
Webanalytics & on site performance
Dashboarding & datavisualisation
Data engineering & data architecture
Data science & machine learning
Artificial intelligence & deep learning
Marketing & acquisition
Paid search advertising & shopping
Social media & digital branding
SEO & content marketing
Growth marketing automation
Marketing & media performance analysis
B2B sales & growth
Sales & growth strategy
Target definition & sales database management
Prospecting & first approach
Sales techniques & methodologies
Lead pipe management
Account Based Marketing (ABM)
Sales analytics & performance
Tech & web
IT strategy & tech architecture
Web & app development
No code development
Green technology
Cybersecurity
Law & tech development regulation
Web3, blockchain and new web technologies
Product & UX/UI
Product strategy
Product frameworks & methodologies
Modern soft skills
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Bettina Hermant
Machine Learning Engineer @Spotify
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Data & analytics
Machine Learning ou réseau de neurones ?
Comprendre les nuances entre l’apprentissage supervisé, non supervisé et par renforcement est clé. Découvrez-ici des applications concrètes et des conseils pour choisir la bonne méthode à adopter.
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