Канал: Machine Learning Milan

Unleashing ChatGPT potential to boost 10X creators' productivity - Madhu Sanjeevi

Unleashing ChatGPT potential to boost 10X creators' productivity - Madhu Sanjeevi

Data privacy in the age of AI - Shalini Kurapati, Clearbox AI

Data privacy in the age of AI - Shalini Kurapati, Clearbox AI

From Product Searches to Conversational Agents for E-Commerce - Pino Di Fabbrizio, VUI

From Product Searches to Conversational Agents for E-Commerce - Pino Di Fabbrizio, VUI

Transformer-based entity matching for inventory optimization in manufacturing - Francesco Battocchio

Transformer-based entity matching for inventory optimization in manufacturing - Francesco Battocchio

Combining ML and Operations Research to solve large-scale supply chain - Cosmo Valentino, Cargoful

Combining ML and Operations Research to solve large-scale supply chain - Cosmo Valentino, Cargoful

Can robots detect anomalies? - Dario Mantegazza, IDSIA

Can robots detect anomalies? - Dario Mantegazza, IDSIA

Apply AI - Reinforcement learning in practice: a competitive arena

Apply AI - Reinforcement learning in practice: a competitive arena

Deep dive on Graph Data Science - Julien Genovese and Michele Giusto, Data Reply

Deep dive on Graph Data Science - Julien Genovese and Michele Giusto, Data Reply

Scale-up your models development with MLflow - Stefano Bosisio, TrustPilot

Scale-up your models development with MLflow - Stefano Bosisio, TrustPilot

How to build ML Pipelines in PySpark - Parvaneh Shafiei, NTT Data

How to build ML Pipelines in PySpark - Parvaneh Shafiei, NTT Data

Apply AI - NLP with Python libraries for Twitter and Reddit

Apply AI - NLP with Python libraries for Twitter and Reddit

WTF is Data Engineering - Joe Reis

WTF is Data Engineering - Joe Reis

Paradoxes in Data Science - Pier Paolo Ippolito

Paradoxes in Data Science - Pier Paolo Ippolito

Deep Learning with Tabular dataset: Dos and Don'ts

Deep Learning with Tabular dataset: Dos and Don'ts

Transformers explained: Ask me about Attention

Transformers explained: Ask me about Attention

FiresideChat - From past to future: panel discussion from AI experts

FiresideChat - From past to future: panel discussion from AI experts

Reducing carbon footprint with Industrial Furnaces using AI - Juan Guillermo Betancur Franco

Reducing carbon footprint with Industrial Furnaces using AI - Juan Guillermo Betancur Franco

Avoid injuries! Learn to play right Golf thanks to AI - Esther Swarna

Avoid injuries! Learn to play right Golf thanks to AI - Esther Swarna

ML Together: Unsupervised time series clustering (part 3)

ML Together: Unsupervised time series clustering (part 3)

ML Together: Unsupervised time series clustering (part 2)

ML Together: Unsupervised time series clustering (part 2)

ML Together: Unsupervised time series clustering (part 1)

ML Together: Unsupervised time series clustering (part 1)

Tomography reconstruction with Deep Learning - Matteo Ronchetti

Tomography reconstruction with Deep Learning - Matteo Ronchetti

How Feature Stores Enable Operational ML - Kevin Stumpf

How Feature Stores Enable Operational ML - Kevin Stumpf

ML Together: Imbalanced Binary Classification, Part 3 (Jupyter Notebook)

ML Together: Imbalanced Binary Classification, Part 3 (Jupyter Notebook)

ML Together: Imbalanced Binary Classification, Part 1 (Theory)

ML Together: Imbalanced Binary Classification, Part 1 (Theory)

Probabilistic modelling and Bayesian inference - Giacomo Miceli

Probabilistic modelling and Bayesian inference - Giacomo Miceli

Deep Learning-based predictive maintenance for improving wind turbines reliability - F. Bertoni

Deep Learning-based predictive maintenance for improving wind turbines reliability - F. Bertoni

AWS - Overview of new AI services in 2021

AWS - Overview of new AI services in 2021

AWS - MLOps Updates and data scientists tools overview in 2021

AWS - MLOps Updates and data scientists tools overview in 2021

MLTogether: Metrics for Binary Classification applied to Titanic Dataset

MLTogether: Metrics for Binary Classification applied to Titanic Dataset

State-of-the-art Clinical Named Entity Recognition at Scale

State-of-the-art Clinical Named Entity Recognition at Scale

ML and optimization in supply chain: a new world after covid-19

ML and optimization in supply chain: a new world after covid-19

MLTogether - Metrics for Binary Classification applied

MLTogether - Metrics for Binary Classification applied

MLOps: What, Where and Why

MLOps: What, Where and Why

Reinforcement Learning, a practical session

Reinforcement Learning, a practical session

ApplyAI - ML in Finance (Part 2)

ApplyAI - ML in Finance (Part 2)

Data Workspaces: a tool for reproducible (data) science - Jeff Fischer

Data Workspaces: a tool for reproducible (data) science - Jeff Fischer

Making robots learn to perform real-world tasks through Reinforcement Learning - Asad Ali Shahid

Making robots learn to perform real-world tasks through Reinforcement Learning - Asad Ali Shahid

Freelancing for data scientists: lessons learned and tips

Freelancing for data scientists: lessons learned and tips

Explainable AI & Fairness

Explainable AI & Fairness

How to run Machine Learning in a tech bank - tales from N26

How to run Machine Learning in a tech bank - tales from N26

ApplyAI Hands-on in NLP: Word Disambiguation and Automatic Summarization

ApplyAI Hands-on in NLP: Word Disambiguation and Automatic Summarization

Taming horses in Singing Voice Detection via Deep Learning

Taming horses in Singing Voice Detection via Deep Learning

Fighting viruses and other pathogens with Neural Network - the adaptive immune system

Fighting viruses and other pathogens with Neural Network - the adaptive immune system

Applying Graph Machine Learning to Enterprise Business Problems

Applying Graph Machine Learning to Enterprise Business Problems

Improved Diagnostic by analyzing Electrical Biosignals with Deep Learning

Improved Diagnostic by analyzing Electrical Biosignals with Deep Learning

Apply AI - Find-my-dog: Workshop on a Computer Vision solution

Apply AI - Find-my-dog: Workshop on a Computer Vision solution

ApplyAI - GAN-ime! Making an anime out of your selfie via CycleGAN

ApplyAI - GAN-ime! Making an anime out of your selfie via CycleGAN

ApplyAI - ML in Finance (Part 1)

ApplyAI - ML in Finance (Part 1)

Tensor Flow 2.0 - Part 2: Edge Computing with TensorFlow Lite, TPU edition

Tensor Flow 2.0 - Part 2: Edge Computing with TensorFlow Lite, TPU edition

Tensor Flow 2.0 - Part 1: Deep Learning and Tabular Data + tf.function

Tensor Flow 2.0 - Part 1: Deep Learning and Tabular Data + tf.function

How to fully automate a store: a Made In Italy use case

How to fully automate a store: a Made In Italy use case

Practical problems of Reinforcement Learning: how to beat your colleagues at videogames?

Practical problems of Reinforcement Learning: how to beat your colleagues at videogames?

Fraud detection: a practical use case

Fraud detection: a practical use case

Pizza Detection: an AI application to detect pizza flavors

Pizza Detection: an AI application to detect pizza flavors