SlideShare a Scribd company logo

Intro to scikit learn may 2017

•
•
Francesco Mosconi
Francesco Mosconi

Tutorial on Scikit Learn I gave at SF Data Mining meetup on May 1st 2017. Review of major parts of the Scikit-Learn API and quick coding exercise on Iris Dataset

Education
1 of 38
Catalit LLC SCIKIT-LEARNTUTORIAL Francesco Mosconi SF Data Mining Meetup @ Google Launchpad May 2017 Data Weekends
Catalit LLC BEFORE WE START Download and install: MINICONDA PYTHON 2.7 from here: https://conda.io/miniconda.html
Catalit LLC INTHIS WORKSHOP • Recognize problems & choose right ML technique • Load and manipulate data with Pandas • Build classification model with Scikit-Learn • Evaluate model performance with Scikit-Learn
Catalit LLC MLTECHNIQUES
Catalit LLC
Catalit LLC
Catalit LLC
Catalit LLC MLTECHNIQUES CONTINUOUS CATEGORICAL SUPERVISED REGRESSION CLASSIFICATION UNSUPERVISED CLUSTERING
Catalit LLC TYPES OF PROBLEMS
Catalit LLC TYPES OF PROBLEMSSentiment Analysis Heart MonitoringBook recommendation Caption generation Human recognition
Catalit LLC TYPES OF PROBLEMS House price prediction Document classification Social Network Analysis
Catalit LLC SCIKIT-LEARN
Catalit LLC MODEL BUILDING 1. Collection 2. Processing 3. Model Building 4. Evaluation 5. Deployment
Catalit LLC BENCHMARK
Catalit LLC CLASSIFIERS http://www.aboutdm.com/2013/04/history-of-machine-learning.html
Catalit LLC
Catalit LLC
Catalit LLC New!
Catalit LLC
Catalit LLC
Catalit LLC
Catalit LLC
Catalit LLC PROCESSING 1. Collection 2. Processing 3. Model Building 4. Evaluation 5. Deployment
Catalit LLC
Catalit LLC
Catalit LLC
Catalit LLC Transfor mer X Transfor mer X' Estimato r X'' y
Catalit LLC EVALUATION 1. Collection 2. Processing 3. Model Building 4. Evaluation 5. Deployment
Catalit LLC
Catalit LLC CONFUSION MATRIX • Accuracy: Overall, how often is it correct? • (TP +TN) / total Test Negative Test Positive Condition Negative TRUE NEGATIVE FALSE POSITIVE (Type I error) Condition Positive FALSE NEGATIVE (Type II error) TRUE POSITIVE
Catalit LLC TRAIN -TEST SPLIT Training data Testing data Model Train Model Measure performance Alldataavailable
Catalit LLC
Catalit LLC
Catalit LLC ATALE OF FLOWERS https://en.wikipedia.org/wiki/Iris_flower_data_set Iris Versicolor Iris Virginica
Catalit LLC BINARY CLASSIFICATION Sepal Length Sepal Width Petal Length Petal Width Type Flower 1 6.2 3.4 5.4 2.3 Virginica Flower 2 5.9 3.0 5.1 1.8 Virginica Flower 3 7.0 3.2 4.7 1.4 Versicolor Features Labels Data Point
Catalit LLC SUPERVISED LEARNING http://www.realsafety.org/wp-content/uploads/2014/11/safety-supervisors-interaction.png
Catalit LLC TUTORIAL Code: dataweekends.com/ml
Catalit LLC THANKYOU Data Weekends Next Data Weekends Dates: 2-day Machine Learning: May 6-7 2-day Intro Deep Learning: May 20 - 21 2-day Advanced Deep Learning: Jun 3 - 4 2-day Intro Deep Learning: Jun 17 - 18

Recommended

Python libraries for Machine Learning and Deep Learning
Python libraries for Machine Learning and Deep LearningPython libraries for Machine Learning and Deep Learning
Python libraries for Machine Learning and Deep Learning
Francesco Mosconi
 
Introduction to Machine Learning with Python and scikit-learn
Introduction to Machine Learning with Python and scikit-learnIntroduction to Machine Learning with Python and scikit-learn
Introduction to Machine Learning with Python and scikit-learn
Matt Hagy
 
Data Science and Machine Learning Using Python and Scikit-learn
Data Science and Machine Learning Using Python and Scikit-learnData Science and Machine Learning Using Python and Scikit-learn
Data Science and Machine Learning Using Python and Scikit-learn
Asim Jalis
 
Intro to machine learning with scikit learn
Intro to machine learning with scikit learnIntro to machine learning with scikit learn
Intro to machine learning with scikit learn
Yoss Cohen
 
Numerical tour in the Python eco-system: Python, NumPy, scikit-learn
Numerical tour in the Python eco-system: Python, NumPy, scikit-learnNumerical tour in the Python eco-system: Python, NumPy, scikit-learn
Numerical tour in the Python eco-system: Python, NumPy, scikit-learn
Arnaud Joly
 
Machine Learning with scikit-learn
Machine Learning with scikit-learnMachine Learning with scikit-learn
Machine Learning with scikit-learn
odsc
 
Think machine-learning-with-scikit-learn-chetan
Think machine-learning-with-scikit-learn-chetanThink machine-learning-with-scikit-learn-chetan
Think machine-learning-with-scikit-learn-chetan
Chetan Khatri
 
Pyparis2017 / Scikit-learn - an incomplete yearly review, by Gael Varoquaux
Pyparis2017 / Scikit-learn - an incomplete yearly review, by Gael VaroquauxPyparis2017 / Scikit-learn - an incomplete yearly review, by Gael Varoquaux
Pyparis2017 / Scikit-learn - an incomplete yearly review, by Gael Varoquaux
Pôle Systematic Paris-Region
 

Recommended

Python libraries for Machine Learning and Deep Learning
Python libraries for Machine Learning and Deep LearningPython libraries for Machine Learning and Deep Learning
Python libraries for Machine Learning and Deep Learning
Francesco Mosconi
 
Introduction to Machine Learning with Python and scikit-learn
Introduction to Machine Learning with Python and scikit-learnIntroduction to Machine Learning with Python and scikit-learn
Introduction to Machine Learning with Python and scikit-learn
Matt Hagy
 
Data Science and Machine Learning Using Python and Scikit-learn
Data Science and Machine Learning Using Python and Scikit-learnData Science and Machine Learning Using Python and Scikit-learn
Data Science and Machine Learning Using Python and Scikit-learn
Asim Jalis
 
Intro to machine learning with scikit learn
Intro to machine learning with scikit learnIntro to machine learning with scikit learn
Intro to machine learning with scikit learn
Yoss Cohen
 
Numerical tour in the Python eco-system: Python, NumPy, scikit-learn
Numerical tour in the Python eco-system: Python, NumPy, scikit-learnNumerical tour in the Python eco-system: Python, NumPy, scikit-learn
Numerical tour in the Python eco-system: Python, NumPy, scikit-learn
Arnaud Joly
 
Machine Learning with scikit-learn
Machine Learning with scikit-learnMachine Learning with scikit-learn
Machine Learning with scikit-learn
odsc
 
Think machine-learning-with-scikit-learn-chetan
Think machine-learning-with-scikit-learn-chetanThink machine-learning-with-scikit-learn-chetan
Think machine-learning-with-scikit-learn-chetan
Chetan Khatri
 
Pyparis2017 / Scikit-learn - an incomplete yearly review, by Gael Varoquaux
Pyparis2017 / Scikit-learn - an incomplete yearly review, by Gael VaroquauxPyparis2017 / Scikit-learn - an incomplete yearly review, by Gael Varoquaux
Pyparis2017 / Scikit-learn - an incomplete yearly review, by Gael Varoquaux
Pôle Systematic Paris-Region
 
Authorship Attribution and Forensic Linguistics with Python/Scikit-Learn/Pand...
Authorship Attribution and Forensic Linguistics with Python/Scikit-Learn/Pand...Authorship Attribution and Forensic Linguistics with Python/Scikit-Learn/Pand...
Authorship Attribution and Forensic Linguistics with Python/Scikit-Learn/Pand...
PyData
 
Intro to scikit-learn
Intro to scikit-learnIntro to scikit-learn
Intro to scikit-learn
AWeber
 
Tree models with Scikit-Learn: Great models with little assumptions
Tree models with Scikit-Learn: Great models with little assumptionsTree models with Scikit-Learn: Great models with little assumptions
Tree models with Scikit-Learn: Great models with little assumptions
Gilles Louppe
 
Machine learning with scikit-learn
Machine learning with scikit-learnMachine learning with scikit-learn
Machine learning with scikit-learn
Qingkai Kong
 
Clustering: A Scikit Learn Tutorial
Clustering: A Scikit Learn TutorialClustering: A Scikit Learn Tutorial
Clustering: A Scikit Learn Tutorial
Damian R. Mingle, MBA
 
Realtime predictive analytics using RabbitMQ & scikit-learn
Realtime predictive analytics using RabbitMQ & scikit-learnRealtime predictive analytics using RabbitMQ & scikit-learn
Realtime predictive analytics using RabbitMQ & scikit-learn
AWeber
 
Exploring Machine Learning in Python with Scikit-Learn
Exploring Machine Learning in Python with Scikit-LearnExploring Machine Learning in Python with Scikit-Learn
Exploring Machine Learning in Python with Scikit-Learn
Kan Ouivirach, Ph.D.
 
Machine learning in production with scikit-learn
Machine learning in production with scikit-learnMachine learning in production with scikit-learn
Machine learning in production with scikit-learn
Jeff Klukas
 
Scikit-learn: the state of the union 2016
Scikit-learn: the state of the union 2016Scikit-learn: the state of the union 2016
Scikit-learn: the state of the union 2016
Gael Varoquaux
 
Text Classification/Categorization
Text Classification/CategorizationText Classification/Categorization
Text Classification/Categorization
Oswal Abhishek
 
Accelerating Random Forests in Scikit-Learn
Accelerating Random Forests in Scikit-LearnAccelerating Random Forests in Scikit-Learn
Accelerating Random Forests in Scikit-Learn
Gilles Louppe
 
Converting Scikit-Learn to PMML
Converting Scikit-Learn to PMMLConverting Scikit-Learn to PMML
Converting Scikit-Learn to PMML
Villu Ruusmann
 
Scikit-learn for easy machine learning: the vision, the tool, and the project
Scikit-learn for easy machine learning: the vision, the tool, and the projectScikit-learn for easy machine learning: the vision, the tool, and the project
Scikit-learn for easy machine learning: the vision, the tool, and the project
Gael Varoquaux
 
Text Classification in Python – using Pandas, scikit-learn, IPython Notebook ...
Text Classification in Python – using Pandas, scikit-learn, IPython Notebook ...Text Classification in Python – using Pandas, scikit-learn, IPython Notebook ...
Text Classification in Python – using Pandas, scikit-learn, IPython Notebook ...
Jimmy Lai
 
Gradient Boosted Regression Trees in scikit-learn
Gradient Boosted Regression Trees in scikit-learnGradient Boosted Regression Trees in scikit-learn
Gradient Boosted Regression Trees in scikit-learn
DataRobot
 
Introduction to Machine Learning with SciKit-Learn
Introduction to Machine Learning with SciKit-LearnIntroduction to Machine Learning with SciKit-Learn
Introduction to Machine Learning with SciKit-Learn
Benjamin Bengfort
 
A Beginner's Guide to Machine Learning with Scikit-Learn
A Beginner's Guide to Machine Learning with Scikit-LearnA Beginner's Guide to Machine Learning with Scikit-Learn
A Beginner's Guide to Machine Learning with Scikit-Learn
Sarah Guido
 
Statistical Machine Learning for Text Classification with scikit-learn and NLTK
Statistical Machine Learning for Text Classification with scikit-learn and NLTKStatistical Machine Learning for Text Classification with scikit-learn and NLTK
Statistical Machine Learning for Text Classification with scikit-learn and NLTKOlivier Grisel
 
Make Sense Out of Data with Feature Engineering
Make Sense Out of Data with Feature EngineeringMake Sense Out of Data with Feature Engineering
Make Sense Out of Data with Feature Engineering
DataRobot
 
Text categorization
Text categorizationText categorization
Text categorization
KU Leuven
 
Machine Learning: Techniques, Best Practices and Practical Application
Machine Learning: Techniques, Best Practices and Practical ApplicationMachine Learning: Techniques, Best Practices and Practical Application
Machine Learning: Techniques, Best Practices and Practical Application
Francesco Mosconi
 
Intro to deep learning Python Meetup
Intro to deep learning Python MeetupIntro to deep learning Python Meetup
Intro to deep learning Python Meetup
Francesco Mosconi
 

More Related Content

Viewers also liked

Authorship Attribution and Forensic Linguistics with Python/Scikit-Learn/Pand...
Authorship Attribution and Forensic Linguistics with Python/Scikit-Learn/Pand...Authorship Attribution and Forensic Linguistics with Python/Scikit-Learn/Pand...
Authorship Attribution and Forensic Linguistics with Python/Scikit-Learn/Pand...
PyData
 
Intro to scikit-learn
Intro to scikit-learnIntro to scikit-learn
Intro to scikit-learn
AWeber
 
Tree models with Scikit-Learn: Great models with little assumptions
Tree models with Scikit-Learn: Great models with little assumptionsTree models with Scikit-Learn: Great models with little assumptions
Tree models with Scikit-Learn: Great models with little assumptions
Gilles Louppe
 
Machine learning with scikit-learn
Machine learning with scikit-learnMachine learning with scikit-learn
Machine learning with scikit-learn
Qingkai Kong
 
Clustering: A Scikit Learn Tutorial
Clustering: A Scikit Learn TutorialClustering: A Scikit Learn Tutorial
Clustering: A Scikit Learn Tutorial
Damian R. Mingle, MBA
 
Realtime predictive analytics using RabbitMQ & scikit-learn
Realtime predictive analytics using RabbitMQ & scikit-learnRealtime predictive analytics using RabbitMQ & scikit-learn
Realtime predictive analytics using RabbitMQ & scikit-learn
AWeber
 
Exploring Machine Learning in Python with Scikit-Learn
Exploring Machine Learning in Python with Scikit-LearnExploring Machine Learning in Python with Scikit-Learn
Exploring Machine Learning in Python with Scikit-Learn
Kan Ouivirach, Ph.D.
 
Machine learning in production with scikit-learn
Machine learning in production with scikit-learnMachine learning in production with scikit-learn
Machine learning in production with scikit-learn
Jeff Klukas
 
Scikit-learn: the state of the union 2016
Scikit-learn: the state of the union 2016Scikit-learn: the state of the union 2016
Scikit-learn: the state of the union 2016
Gael Varoquaux
 
Text Classification/Categorization
Text Classification/CategorizationText Classification/Categorization
Text Classification/Categorization
Oswal Abhishek
 
Accelerating Random Forests in Scikit-Learn
Accelerating Random Forests in Scikit-LearnAccelerating Random Forests in Scikit-Learn
Accelerating Random Forests in Scikit-Learn
Gilles Louppe
 
Converting Scikit-Learn to PMML
Converting Scikit-Learn to PMMLConverting Scikit-Learn to PMML
Converting Scikit-Learn to PMML
Villu Ruusmann
 
Scikit-learn for easy machine learning: the vision, the tool, and the project
Scikit-learn for easy machine learning: the vision, the tool, and the projectScikit-learn for easy machine learning: the vision, the tool, and the project
Scikit-learn for easy machine learning: the vision, the tool, and the project
Gael Varoquaux
 
Text Classification in Python – using Pandas, scikit-learn, IPython Notebook ...
Text Classification in Python – using Pandas, scikit-learn, IPython Notebook ...Text Classification in Python – using Pandas, scikit-learn, IPython Notebook ...
Text Classification in Python – using Pandas, scikit-learn, IPython Notebook ...
Jimmy Lai
 
Gradient Boosted Regression Trees in scikit-learn
Gradient Boosted Regression Trees in scikit-learnGradient Boosted Regression Trees in scikit-learn
Gradient Boosted Regression Trees in scikit-learn
DataRobot
 
Introduction to Machine Learning with SciKit-Learn
Introduction to Machine Learning with SciKit-LearnIntroduction to Machine Learning with SciKit-Learn
Introduction to Machine Learning with SciKit-Learn
Benjamin Bengfort
 
A Beginner's Guide to Machine Learning with Scikit-Learn
A Beginner's Guide to Machine Learning with Scikit-LearnA Beginner's Guide to Machine Learning with Scikit-Learn
A Beginner's Guide to Machine Learning with Scikit-Learn
Sarah Guido
 
Statistical Machine Learning for Text Classification with scikit-learn and NLTK
Statistical Machine Learning for Text Classification with scikit-learn and NLTKStatistical Machine Learning for Text Classification with scikit-learn and NLTK
Statistical Machine Learning for Text Classification with scikit-learn and NLTKOlivier Grisel
 
Make Sense Out of Data with Feature Engineering
Make Sense Out of Data with Feature EngineeringMake Sense Out of Data with Feature Engineering
Make Sense Out of Data with Feature Engineering
DataRobot
 
Text categorization
Text categorizationText categorization
Text categorization
KU Leuven
 

Viewers also liked (20)

Authorship Attribution and Forensic Linguistics with Python/Scikit-Learn/Pand...
Authorship Attribution and Forensic Linguistics with Python/Scikit-Learn/Pand...Authorship Attribution and Forensic Linguistics with Python/Scikit-Learn/Pand...
Authorship Attribution and Forensic Linguistics with Python/Scikit-Learn/Pand...
 
Intro to scikit-learn
Intro to scikit-learnIntro to scikit-learn
Intro to scikit-learn
 
Tree models with Scikit-Learn: Great models with little assumptions
Tree models with Scikit-Learn: Great models with little assumptionsTree models with Scikit-Learn: Great models with little assumptions
Tree models with Scikit-Learn: Great models with little assumptions
 
Machine learning with scikit-learn
Machine learning with scikit-learnMachine learning with scikit-learn
Machine learning with scikit-learn
 
Clustering: A Scikit Learn Tutorial
Clustering: A Scikit Learn TutorialClustering: A Scikit Learn Tutorial
Clustering: A Scikit Learn Tutorial
 
Realtime predictive analytics using RabbitMQ & scikit-learn
Realtime predictive analytics using RabbitMQ & scikit-learnRealtime predictive analytics using RabbitMQ & scikit-learn
Realtime predictive analytics using RabbitMQ & scikit-learn
 
Exploring Machine Learning in Python with Scikit-Learn
Exploring Machine Learning in Python with Scikit-LearnExploring Machine Learning in Python with Scikit-Learn
Exploring Machine Learning in Python with Scikit-Learn
 
Machine learning in production with scikit-learn
Machine learning in production with scikit-learnMachine learning in production with scikit-learn
Machine learning in production with scikit-learn
 
Scikit-learn: the state of the union 2016
Scikit-learn: the state of the union 2016Scikit-learn: the state of the union 2016
Scikit-learn: the state of the union 2016
 
Text Classification/Categorization
Text Classification/CategorizationText Classification/Categorization
Text Classification/Categorization
 
Accelerating Random Forests in Scikit-Learn
Accelerating Random Forests in Scikit-LearnAccelerating Random Forests in Scikit-Learn
Accelerating Random Forests in Scikit-Learn
 
Converting Scikit-Learn to PMML
Converting Scikit-Learn to PMMLConverting Scikit-Learn to PMML
Converting Scikit-Learn to PMML
 
Scikit-learn for easy machine learning: the vision, the tool, and the project
Scikit-learn for easy machine learning: the vision, the tool, and the projectScikit-learn for easy machine learning: the vision, the tool, and the project
Scikit-learn for easy machine learning: the vision, the tool, and the project
 
Text Classification in Python – using Pandas, scikit-learn, IPython Notebook ...
Text Classification in Python – using Pandas, scikit-learn, IPython Notebook ...Text Classification in Python – using Pandas, scikit-learn, IPython Notebook ...
Text Classification in Python – using Pandas, scikit-learn, IPython Notebook ...
 
Gradient Boosted Regression Trees in scikit-learn
Gradient Boosted Regression Trees in scikit-learnGradient Boosted Regression Trees in scikit-learn
Gradient Boosted Regression Trees in scikit-learn
 
Introduction to Machine Learning with SciKit-Learn
Introduction to Machine Learning with SciKit-LearnIntroduction to Machine Learning with SciKit-Learn
Introduction to Machine Learning with SciKit-Learn
 
A Beginner's Guide to Machine Learning with Scikit-Learn
A Beginner's Guide to Machine Learning with Scikit-LearnA Beginner's Guide to Machine Learning with Scikit-Learn
A Beginner's Guide to Machine Learning with Scikit-Learn
 
Statistical Machine Learning for Text Classification with scikit-learn and NLTK
Statistical Machine Learning for Text Classification with scikit-learn and NLTKStatistical Machine Learning for Text Classification with scikit-learn and NLTK
Statistical Machine Learning for Text Classification with scikit-learn and NLTK
 
Make Sense Out of Data with Feature Engineering
Make Sense Out of Data with Feature EngineeringMake Sense Out of Data with Feature Engineering
Make Sense Out of Data with Feature Engineering
 
Text categorization
Text categorizationText categorization
Text categorization
 

Similar to Intro to scikit learn may 2017

Machine Learning: Techniques, Best Practices and Practical Application
Machine Learning: Techniques, Best Practices and Practical ApplicationMachine Learning: Techniques, Best Practices and Practical Application
Machine Learning: Techniques, Best Practices and Practical Application
Francesco Mosconi
 
Intro to deep learning Python Meetup
Intro to deep learning Python MeetupIntro to deep learning Python Meetup
Intro to deep learning Python Meetup
Francesco Mosconi
 
Advanced Keras
Advanced KerasAdvanced Keras
Advanced Keras
Francesco Mosconi
 
Advanced Keras / Global Artificial Intelligence Conference / Santa Clara 2018
Advanced Keras / Global Artificial Intelligence Conference / Santa Clara 2018Advanced Keras / Global Artificial Intelligence Conference / Santa Clara 2018
Advanced Keras / Global Artificial Intelligence Conference / Santa Clara 2018
Francesco Mosconi
 
Enabling a Bimodal IT Framework for Advanced Analytics with Data Virtualization
Enabling a Bimodal IT Framework for Advanced Analytics with Data VirtualizationEnabling a Bimodal IT Framework for Advanced Analytics with Data Virtualization
Enabling a Bimodal IT Framework for Advanced Analytics with Data Virtualization
Denodo
 
Discover BigQuery ML, build your own CREATE MODEL statement
Discover BigQuery ML, build your own CREATE MODEL statementDiscover BigQuery ML, build your own CREATE MODEL statement
Discover BigQuery ML, build your own CREATE MODEL statement
Márton Kodok
 
MicroStrategy Training From myTectra in Bangalore,
MicroStrategy Training From myTectra in Bangalore,MicroStrategy Training From myTectra in Bangalore,
MicroStrategy Training From myTectra in Bangalore,
myTectra Learning Solutions Private Ltd
 
ITCamp 2019 - Andy Cross - Machine Learning with ML.NET and Azure Data Lake
ITCamp 2019 - Andy Cross - Machine Learning with ML.NET and Azure Data LakeITCamp 2019 - Andy Cross - Machine Learning with ML.NET and Azure Data Lake
ITCamp 2019 - Andy Cross - Machine Learning with ML.NET and Azure Data Lake
ITCamp
 
Building a Data Cloud to enable Analytics & AI-Driven Innovation - Lak Lakshm...
Building a Data Cloud to enable Analytics & AI-Driven Innovation - Lak Lakshm...Building a Data Cloud to enable Analytics & AI-Driven Innovation - Lak Lakshm...
Building a Data Cloud to enable Analytics & AI-Driven Innovation - Lak Lakshm...
Daniel Zivkovic
 
Getting Started With Dato - August 2015
Getting Started With Dato - August 2015Getting Started With Dato - August 2015
Getting Started With Dato - August 2015
Turi, Inc.
 
Gutenberg H4D Stanford 2019
Gutenberg H4D Stanford 2019Gutenberg H4D Stanford 2019
Gutenberg H4D Stanford 2019
Stanford University
 
Building Products That Think- Bhaskaran Srinivasan & Ashish Gupta
Building Products That Think- Bhaskaran Srinivasan & Ashish GuptaBuilding Products That Think- Bhaskaran Srinivasan & Ashish Gupta
Building Products That Think- Bhaskaran Srinivasan & Ashish Gupta
ISPMAIndia
 
AtlasCamp 2015 Keynote
AtlasCamp 2015 KeynoteAtlasCamp 2015 Keynote
AtlasCamp 2015 Keynote
Atlassian
 
Project Management Careers in Data Science
Project Management Careers in Data ScienceProject Management Careers in Data Science
Project Management Careers in Data Science
Ganes Kesari
 
Supercharge your data analytics with BigQuery
Supercharge your data analytics with BigQuerySupercharge your data analytics with BigQuery
Supercharge your data analytics with BigQuery
Márton Kodok
 
CWIN17 san francisco-ai implementation-pub
CWIN17 san francisco-ai implementation-pubCWIN17 san francisco-ai implementation-pub
CWIN17 san francisco-ai implementation-pub
Capgemini
 
M365 Virtual Conference: Componentize Your Power Apps
M365 Virtual Conference: Componentize Your Power AppsM365 Virtual Conference: Componentize Your Power Apps
M365 Virtual Conference: Componentize Your Power Apps
April Dunnam
 
The Future Based on AI and Analytics
The Future Based on AI and AnalyticsThe Future Based on AI and Analytics
The Future Based on AI and Analytics
DATAVERSITY
 
UXDX Berlin - Test & Deploy, by Quentin Berder, President, WiredCraft
UXDX Berlin - Test & Deploy, by Quentin Berder, President, WiredCraftUXDX Berlin - Test & Deploy, by Quentin Berder, President, WiredCraft
UXDX Berlin - Test & Deploy, by Quentin Berder, President, WiredCraft
UXDXConf
 
Anatomy of a data science project
Anatomy of a data science projectAnatomy of a data science project
Anatomy of a data science project
Adam Sroka
 

Similar to Intro to scikit learn may 2017 (20)

Machine Learning: Techniques, Best Practices and Practical Application
Machine Learning: Techniques, Best Practices and Practical ApplicationMachine Learning: Techniques, Best Practices and Practical Application
Machine Learning: Techniques, Best Practices and Practical Application
 
Intro to deep learning Python Meetup
Intro to deep learning Python MeetupIntro to deep learning Python Meetup
Intro to deep learning Python Meetup
 
Advanced Keras
Advanced KerasAdvanced Keras
Advanced Keras
 
Advanced Keras / Global Artificial Intelligence Conference / Santa Clara 2018
Advanced Keras / Global Artificial Intelligence Conference / Santa Clara 2018Advanced Keras / Global Artificial Intelligence Conference / Santa Clara 2018
Advanced Keras / Global Artificial Intelligence Conference / Santa Clara 2018
 
Enabling a Bimodal IT Framework for Advanced Analytics with Data Virtualization
Enabling a Bimodal IT Framework for Advanced Analytics with Data VirtualizationEnabling a Bimodal IT Framework for Advanced Analytics with Data Virtualization
Enabling a Bimodal IT Framework for Advanced Analytics with Data Virtualization
 
Discover BigQuery ML, build your own CREATE MODEL statement
Discover BigQuery ML, build your own CREATE MODEL statementDiscover BigQuery ML, build your own CREATE MODEL statement
Discover BigQuery ML, build your own CREATE MODEL statement
 
MicroStrategy Training From myTectra in Bangalore,
MicroStrategy Training From myTectra in Bangalore,MicroStrategy Training From myTectra in Bangalore,
MicroStrategy Training From myTectra in Bangalore,
 
ITCamp 2019 - Andy Cross - Machine Learning with ML.NET and Azure Data Lake
ITCamp 2019 - Andy Cross - Machine Learning with ML.NET and Azure Data LakeITCamp 2019 - Andy Cross - Machine Learning with ML.NET and Azure Data Lake
ITCamp 2019 - Andy Cross - Machine Learning with ML.NET and Azure Data Lake
 
Building a Data Cloud to enable Analytics & AI-Driven Innovation - Lak Lakshm...
Building a Data Cloud to enable Analytics & AI-Driven Innovation - Lak Lakshm...Building a Data Cloud to enable Analytics & AI-Driven Innovation - Lak Lakshm...
Building a Data Cloud to enable Analytics & AI-Driven Innovation - Lak Lakshm...
 
Getting Started With Dato - August 2015
Getting Started With Dato - August 2015Getting Started With Dato - August 2015
Getting Started With Dato - August 2015
 
Gutenberg H4D Stanford 2019
Gutenberg H4D Stanford 2019Gutenberg H4D Stanford 2019
Gutenberg H4D Stanford 2019
 
Building Products That Think- Bhaskaran Srinivasan & Ashish Gupta
Building Products That Think- Bhaskaran Srinivasan & Ashish GuptaBuilding Products That Think- Bhaskaran Srinivasan & Ashish Gupta
Building Products That Think- Bhaskaran Srinivasan & Ashish Gupta
 
AtlasCamp 2015 Keynote
AtlasCamp 2015 KeynoteAtlasCamp 2015 Keynote
AtlasCamp 2015 Keynote
 
Project Management Careers in Data Science
Project Management Careers in Data ScienceProject Management Careers in Data Science
Project Management Careers in Data Science
 
Supercharge your data analytics with BigQuery
Supercharge your data analytics with BigQuerySupercharge your data analytics with BigQuery
Supercharge your data analytics with BigQuery
 
CWIN17 san francisco-ai implementation-pub
CWIN17 san francisco-ai implementation-pubCWIN17 san francisco-ai implementation-pub
CWIN17 san francisco-ai implementation-pub
 
M365 Virtual Conference: Componentize Your Power Apps
M365 Virtual Conference: Componentize Your Power AppsM365 Virtual Conference: Componentize Your Power Apps
M365 Virtual Conference: Componentize Your Power Apps
 
The Future Based on AI and Analytics
The Future Based on AI and AnalyticsThe Future Based on AI and Analytics
The Future Based on AI and Analytics
 
UXDX Berlin - Test & Deploy, by Quentin Berder, President, WiredCraft
UXDX Berlin - Test & Deploy, by Quentin Berder, President, WiredCraftUXDX Berlin - Test & Deploy, by Quentin Berder, President, WiredCraft
UXDX Berlin - Test & Deploy, by Quentin Berder, President, WiredCraft
 
Anatomy of a data science project
Anatomy of a data science projectAnatomy of a data science project
Anatomy of a data science project
 

More from Francesco Mosconi

Tensorflow 2.0 SF Python Meetup November 2019
Tensorflow 2.0 SF Python Meetup November 2019Tensorflow 2.0 SF Python Meetup November 2019
Tensorflow 2.0 SF Python Meetup November 2019
Francesco Mosconi
 
Deep Learning in 2019 SF Python October
Deep Learning in 2019 SF Python OctoberDeep Learning in 2019 SF Python October
Deep Learning in 2019 SF Python October
Francesco Mosconi
 
Tensorflow 2.0 and Keras: What's new, what's shared, what's different
Tensorflow 2.0 and Keras: What's new, what's shared, what's differentTensorflow 2.0 and Keras: What's new, what's shared, what's different
Tensorflow 2.0 and Keras: What's new, what's shared, what's different
Francesco Mosconi
 
Python for Machine Learning and Deep Learning
Python for Machine Learning and Deep LearningPython for Machine Learning and Deep Learning
Python for Machine Learning and Deep Learning
Francesco Mosconi
 
Image Similarity Search
Image Similarity SearchImage Similarity Search
Image Similarity Search
Francesco Mosconi
 
Tensorflow 2.0 pipeline ai
Tensorflow 2.0 pipeline aiTensorflow 2.0 pipeline ai
Tensorflow 2.0 pipeline ai
Francesco Mosconi
 
Tensorflow 2.0 and Keras ODSC Jan 2019
Tensorflow 2.0 and Keras ODSC Jan 2019Tensorflow 2.0 and Keras ODSC Jan 2019
Tensorflow 2.0 and Keras ODSC Jan 2019
Francesco Mosconi
 
Introduction to Keras / Global Artificial Intelligence Conference / Santa Cla...
Introduction to Keras / Global Artificial Intelligence Conference / Santa Cla...Introduction to Keras / Global Artificial Intelligence Conference / Santa Cla...
Introduction to Keras / Global Artificial Intelligence Conference / Santa Cla...
Francesco Mosconi
 
Intro to Deep Learning April 2017
Intro to Deep Learning April 2017Intro to Deep Learning April 2017
Intro to Deep Learning April 2017
Francesco Mosconi
 

More from Francesco Mosconi (9)

Tensorflow 2.0 SF Python Meetup November 2019
Tensorflow 2.0 SF Python Meetup November 2019Tensorflow 2.0 SF Python Meetup November 2019
Tensorflow 2.0 SF Python Meetup November 2019
 
Deep Learning in 2019 SF Python October
Deep Learning in 2019 SF Python OctoberDeep Learning in 2019 SF Python October
Deep Learning in 2019 SF Python October
 
Tensorflow 2.0 and Keras: What's new, what's shared, what's different
Tensorflow 2.0 and Keras: What's new, what's shared, what's differentTensorflow 2.0 and Keras: What's new, what's shared, what's different
Tensorflow 2.0 and Keras: What's new, what's shared, what's different
 
Python for Machine Learning and Deep Learning
Python for Machine Learning and Deep LearningPython for Machine Learning and Deep Learning
Python for Machine Learning and Deep Learning
 
Image Similarity Search
Image Similarity SearchImage Similarity Search
Image Similarity Search
 
Tensorflow 2.0 pipeline ai
Tensorflow 2.0 pipeline aiTensorflow 2.0 pipeline ai
Tensorflow 2.0 pipeline ai
 
Tensorflow 2.0 and Keras ODSC Jan 2019
Tensorflow 2.0 and Keras ODSC Jan 2019Tensorflow 2.0 and Keras ODSC Jan 2019
Tensorflow 2.0 and Keras ODSC Jan 2019
 
Introduction to Keras / Global Artificial Intelligence Conference / Santa Cla...
Introduction to Keras / Global Artificial Intelligence Conference / Santa Cla...Introduction to Keras / Global Artificial Intelligence Conference / Santa Cla...
Introduction to Keras / Global Artificial Intelligence Conference / Santa Cla...
 
Intro to Deep Learning April 2017
Intro to Deep Learning April 2017Intro to Deep Learning April 2017
Intro to Deep Learning April 2017
 

Recently uploaded

STRAND 3 HYGIENIC PRACTICES.pptx GRADE 7 CBC
STRAND 3 HYGIENIC PRACTICES.pptx GRADE 7 CBCSTRAND 3 HYGIENIC PRACTICES.pptx GRADE 7 CBC
STRAND 3 HYGIENIC PRACTICES.pptx GRADE 7 CBC
kimdan468
 
MASS MEDIA STUDIES-835-CLASS XI Resource Material.pdf
MASS MEDIA STUDIES-835-CLASS XI Resource Material.pdfMASS MEDIA STUDIES-835-CLASS XI Resource Material.pdf
MASS MEDIA STUDIES-835-CLASS XI Resource Material.pdf
goswamiyash170123
 
The Diamond Necklace by Guy De Maupassant.pptx
The Diamond Necklace by Guy De Maupassant.pptxThe Diamond Necklace by Guy De Maupassant.pptx
The Diamond Necklace by Guy De Maupassant.pptx
DhatriParmar
 
TESDA TM1 REVIEWER FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
TESDA TM1 REVIEWER FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...TESDA TM1 REVIEWER FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
TESDA TM1 REVIEWER FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
EugeneSaldivar
 
Multithreading_in_C++ - std::thread, race condition
Multithreading_in_C++ - std::thread, race conditionMultithreading_in_C++ - std::thread, race condition
Multithreading_in_C++ - std::thread, race condition
Mohammed Sikander
 
The Challenger.pdf DNHS Official Publication
The Challenger.pdf DNHS Official PublicationThe Challenger.pdf DNHS Official Publication
The Challenger.pdf DNHS Official Publication
Delapenabediema
 
A Strategic Approach: GenAI in Education
A Strategic Approach: GenAI in EducationA Strategic Approach: GenAI in Education
A Strategic Approach: GenAI in Education
Peter Windle
 
A Survey of Techniques for Maximizing LLM Performance.pptx
A Survey of Techniques for Maximizing LLM Performance.pptxA Survey of Techniques for Maximizing LLM Performance.pptx
A Survey of Techniques for Maximizing LLM Performance.pptx
thanhdowork
 
Executive Directors Chat Leveraging AI for Diversity, Equity, and Inclusion
Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionExecutive Directors Chat Leveraging AI for Diversity, Equity, and Inclusion
Executive Directors Chat Leveraging AI for Diversity, Equity, and Inclusion
TechSoup
 
Acetabularia Information For Class 9 .docx
Acetabularia Information For Class 9 .docxAcetabularia Information For Class 9 .docx
Acetabularia Information For Class 9 .docx
vaibhavrinwa19
 
Overview on Edible Vaccine: Pros & Cons with Mechanism
Overview on Edible Vaccine: Pros & Cons with MechanismOverview on Edible Vaccine: Pros & Cons with Mechanism
Overview on Edible Vaccine: Pros & Cons with Mechanism
DeeptiGupta154
 
S1-Introduction-Biopesticides in ICM.pptx
S1-Introduction-Biopesticides in ICM.pptxS1-Introduction-Biopesticides in ICM.pptx
S1-Introduction-Biopesticides in ICM.pptx
tarandeep35
 
BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...
BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...
BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...
Nguyen Thanh Tu Collection
 
Lapbook sobre os Regimes Totalitários.pdf
Lapbook sobre os Regimes Totalitários.pdfLapbook sobre os Regimes Totalitários.pdf
Lapbook sobre os Regimes Totalitários.pdf
Jean Carlos Nunes Paixão
 
Best Digital Marketing Institute In NOIDA
Best Digital Marketing Institute In NOIDABest Digital Marketing Institute In NOIDA
Best Digital Marketing Institute In NOIDA
deeptiverma2406
 
The basics of sentences session 5pptx.pptx
The basics of sentences session 5pptx.pptxThe basics of sentences session 5pptx.pptx
The basics of sentences session 5pptx.pptx
heathfieldcps1
 
Digital Artifact 1 - 10VCD Environments Unit
Digital Artifact 1 - 10VCD Environments UnitDigital Artifact 1 - 10VCD Environments Unit
Digital Artifact 1 - 10VCD Environments Unit
chanes7
 
JEE1_This_section_contains_FOUR_ questions
JEE1_This_section_contains_FOUR_ questionsJEE1_This_section_contains_FOUR_ questions
JEE1_This_section_contains_FOUR_ questions
ShivajiThube2
 
Unit 8 - Information and Communication Technology (Paper I).pdf
Unit 8 - Information and Communication Technology (Paper I).pdfUnit 8 - Information and Communication Technology (Paper I).pdf
Unit 8 - Information and Communication Technology (Paper I).pdf
Thiyagu K
 
Digital Artifact 2 - Investigating Pavilion Designs
Digital Artifact 2 - Investigating Pavilion DesignsDigital Artifact 2 - Investigating Pavilion Designs
Digital Artifact 2 - Investigating Pavilion Designs
chanes7
 

Recently uploaded (20)

STRAND 3 HYGIENIC PRACTICES.pptx GRADE 7 CBC
STRAND 3 HYGIENIC PRACTICES.pptx GRADE 7 CBCSTRAND 3 HYGIENIC PRACTICES.pptx GRADE 7 CBC
STRAND 3 HYGIENIC PRACTICES.pptx GRADE 7 CBC
 
MASS MEDIA STUDIES-835-CLASS XI Resource Material.pdf
MASS MEDIA STUDIES-835-CLASS XI Resource Material.pdfMASS MEDIA STUDIES-835-CLASS XI Resource Material.pdf
MASS MEDIA STUDIES-835-CLASS XI Resource Material.pdf
 
The Diamond Necklace by Guy De Maupassant.pptx
The Diamond Necklace by Guy De Maupassant.pptxThe Diamond Necklace by Guy De Maupassant.pptx
The Diamond Necklace by Guy De Maupassant.pptx
 
TESDA TM1 REVIEWER FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
TESDA TM1 REVIEWER FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...TESDA TM1 REVIEWER FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
TESDA TM1 REVIEWER FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
 
Multithreading_in_C++ - std::thread, race condition
Multithreading_in_C++ - std::thread, race conditionMultithreading_in_C++ - std::thread, race condition
Multithreading_in_C++ - std::thread, race condition
 
The Challenger.pdf DNHS Official Publication
The Challenger.pdf DNHS Official PublicationThe Challenger.pdf DNHS Official Publication
The Challenger.pdf DNHS Official Publication
 
A Strategic Approach: GenAI in Education
A Strategic Approach: GenAI in EducationA Strategic Approach: GenAI in Education
A Strategic Approach: GenAI in Education
 
A Survey of Techniques for Maximizing LLM Performance.pptx
A Survey of Techniques for Maximizing LLM Performance.pptxA Survey of Techniques for Maximizing LLM Performance.pptx
A Survey of Techniques for Maximizing LLM Performance.pptx
 
Executive Directors Chat Leveraging AI for Diversity, Equity, and Inclusion
Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionExecutive Directors Chat Leveraging AI for Diversity, Equity, and Inclusion
Executive Directors Chat Leveraging AI for Diversity, Equity, and Inclusion
 
Acetabularia Information For Class 9 .docx
Acetabularia Information For Class 9 .docxAcetabularia Information For Class 9 .docx
Acetabularia Information For Class 9 .docx
 
Overview on Edible Vaccine: Pros & Cons with Mechanism
Overview on Edible Vaccine: Pros & Cons with MechanismOverview on Edible Vaccine: Pros & Cons with Mechanism
Overview on Edible Vaccine: Pros & Cons with Mechanism
 
S1-Introduction-Biopesticides in ICM.pptx
S1-Introduction-Biopesticides in ICM.pptxS1-Introduction-Biopesticides in ICM.pptx
S1-Introduction-Biopesticides in ICM.pptx
 
BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...
BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...
BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...
 
Lapbook sobre os Regimes Totalitários.pdf
Lapbook sobre os Regimes Totalitários.pdfLapbook sobre os Regimes Totalitários.pdf
Lapbook sobre os Regimes Totalitários.pdf
 
Best Digital Marketing Institute In NOIDA
Best Digital Marketing Institute In NOIDABest Digital Marketing Institute In NOIDA
Best Digital Marketing Institute In NOIDA
 
The basics of sentences session 5pptx.pptx
The basics of sentences session 5pptx.pptxThe basics of sentences session 5pptx.pptx
The basics of sentences session 5pptx.pptx
 
Digital Artifact 1 - 10VCD Environments Unit
Digital Artifact 1 - 10VCD Environments UnitDigital Artifact 1 - 10VCD Environments Unit
Digital Artifact 1 - 10VCD Environments Unit
 
JEE1_This_section_contains_FOUR_ questions
JEE1_This_section_contains_FOUR_ questionsJEE1_This_section_contains_FOUR_ questions
JEE1_This_section_contains_FOUR_ questions
 
Unit 8 - Information and Communication Technology (Paper I).pdf
Unit 8 - Information and Communication Technology (Paper I).pdfUnit 8 - Information and Communication Technology (Paper I).pdf
Unit 8 - Information and Communication Technology (Paper I).pdf
 
Digital Artifact 2 - Investigating Pavilion Designs
Digital Artifact 2 - Investigating Pavilion DesignsDigital Artifact 2 - Investigating Pavilion Designs
Digital Artifact 2 - Investigating Pavilion Designs
 

Intro to scikit learn may 2017