PyVideo.org · PyData Berlin 2017 (original) (raw)

Image from A word is worth a thousand pictures: Convolutional methods for text

A word is worth a thousand pictures: Convolutional methods for text

Image from Advanced Metaphors in Coding with Python

Advanced Metaphors in Coding with Python

Image from AI assisted creativity

AI assisted creativity

Image from Analysing user comments with Doc2Vec and Machine Learning classification

Analysing user comments with Doc2Vec and Machine Learning classification

Image from Are many of your worries about AI wrong?

Are many of your worries about AI wrong?

Image from Best Practices for Debugging

Best Practices for Debugging

Image from Biases are bugs: algorithm fairness and machine learning ethics

Biases are bugs: algorithm fairness and machine learning ethics

Image from Blockchains for Artificial Intelligence

Blockchains for Artificial Intelligence

Image from Building smart IoT applications with Python and Spark

Building smart IoT applications with Python and Spark

Image from Clean Code in Jupyter notebooks, using Python

Clean Code in Jupyter notebooks, using Python

Image from Compositional distributional semantics for modelling natural language

Compositional distributional semantics for modelling natural language

Image from Conversational AI: Building clever chatbots

Conversational AI: Building clever chatbots

Image from Data Science & Data Visualization in Python. How to harness power of Python for social good?

Data Science & Data Visualization in Python. How to harness power of Python for social good?

Image from Data Science for Digital Humanities: Extracting meaning from Images and Text

Data Science for Digital Humanities: Extracting meaning from Images and Text

Image from Deep Learning for detection on a phone

Deep Learning for detection on a phone

Image from Developments in Test-Driven Data Analysis

Developments in Test-Driven Data Analysis

Image from Engage the Hyper-Python

Engage the Hyper-Python

Image from Ethics in Machine Learning Panel

Ethics in Machine Learning Panel

Image from Evaluating Topic Models

Evaluating Topic Models

Image from Fairness and transparency in machine learning: Tools and techniques

Fairness and transparency in machine learning: Tools and techniques

Image from Fast Multidimensional Signal Processing using Julia with Shearlab.jl

Fast Multidimensional Signal Processing using Julia with Shearlab.jl

Image from Finding Lane Lines for Self Driving Cars

Finding Lane Lines for Self Driving Cars

Image from Gold standard data: lessons from the trenches

Gold standard data: lessons from the trenches

Image from Introduction to Data-Analysis with Pandas

Introduction to Data-Analysis with Pandas

Image from Introduction to Julia for Scientific Computing and Data Science

Introduction to Julia for Scientific Computing and Data Science

Image from Introduction to Machine Learning with H2O and Python

Introduction to Machine Learning with H2O and Python

Image from Introduction to Search

Image from Introductory tutorial on data exploration and statistical models

Introductory tutorial on data exploration and statistical models

Image from Is That a Duplicate Quora Question?

Is That a Duplicate Quora Question?

Image from Kickstarting projects with Cookiecutter

Kickstarting projects with Cookiecutter

Image from Large Scale Vandalism Detection in Knowledge Bases

Large Scale Vandalism Detection in Knowledge Bases

Image from Leveling up your Jupyter notebook skills

Leveling up your Jupyter notebook skills

Image from lightning talks

lightning talks

Image from Machine Learning to moderate ads in real world classified's business

Machine Learning to moderate ads in real world classified's business

Image from Natural Language Processing: Challenges and Next Frontiers

Natural Language Processing: Challenges and Next Frontiers

Image from On Bandits, Bayes, and swipes: gamification of search

Image from Open Data Use Cases

Open Data Use Cases

Image from Pandas from the Inside /

Pandas from the Inside / "Big Pandas"

Image from Patsy: The Lingua Franca to and from R

Patsy: The Lingua Franca to and from R

Image from Patterns for Collaboration between Data Scientists And Software Engineers

Patterns for Collaboration between Data Scientists And Software Engineers

Image from Polynomial Chaos: A technique for modeling uncertainty

Polynomial Chaos: A technique for modeling uncertainty

Image from Semi-Supervised Bootstrapping of Relationship Extractors

Semi-Supervised Bootstrapping of Relationship Extractors

Image from Social Networks and Protest Participation: Evidence from 130 Million Twitter Users

Social Networks and Protest Participation: Evidence from 130 Million Twitter Users

Image from Spying on my Network for a Day: Data Analysis for Networks

Spying on my Network for a Day: Data Analysis for Networks

Image from Text similiarity with the next generation of word embeddings in Gensim

Text similiarity with the next generation of word embeddings in Gensim

Image from The Future of Cybersecurity Needs You, Here is Why.

The Future of Cybersecurity Needs You, Here is Why.

Image from The path between developing and serving machine learning models.

The path between developing and serving machine learning models.

Image from TNaaS - Tech Names as a Service

TNaaS - Tech Names as a Service

Image from Topic Modelling (and more) with NLP framework Gensim

Topic Modelling (and more) with NLP framework Gensim

Image from Towards Pythonic Innovation in Recommender Systems

Towards Pythonic Innovation in Recommender Systems

Image from Where are we looking? Predicting human gaze using deep networks.

Where are we looking? Predicting human gaze using deep networks.

Image from “Which car fits my life?” - mobile.de’s approach to recommendations

“Which car fits my life?” - mobile.de’s approach to recommendations