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DECEMBER 2017

LIST OF TOPICS

Technology

HOW I LEARNED TO STOP WORRYING & FELL IN LOVE WITH BIG DATA BY USING THE BETA DISTRIBUTION

COMPARING SCALABILITY OF DEEP LEARNING FRAMEWORKS—A BENCHMARK STUDY

BUILDING PARTNERSHIPS TO UNLEASH DATA FOR GOOD

BEYOND LOGISTIC REGRESSION: TEXT EMBEDDINGS FOR EXOTIC DOWNSTREAM NLP TASKS

OPTIMIZE MOBILE APPLICATION EXPERIENCE BY PREDICTING USER BEHAVIOR

THEORETICAL VS APPLIED MODEL BUILDING: CROSSING THE PRACTICAL APPLICATION DIVIDE

CATBOOST - THE NEW GENERATION OF GRADIENT BOOSTING

DEEP LEARNING: A PARADIGM SHIFT IN MACHINE LEARNING

PANEL | DATA GOVERNANCE IN THE AGE OF AI

PYTHON IN PRODUCTION

AUTOMATED FEATURE ENGINEERING

MACHINE LEARNING AND DATA MONETIZATION

DATA SCIENTISTS ARE EDUCATORS!

THE OPEN DATA SCIENCE PLATFORM

PRODUCT(IVE) DATA SCIENCE

IOT & ANALYTICS: CONDITION BASED MAINTENANCE

APPLYING MACHINE LEARNING & AI TO FINANCE, HEALTHCARE & TECHNOLOGY

ENABLING SELF-SERVICE PREDICTIVE ANALYTICS AT BIDTELLECT – A CASE STUDY

DIGITAL TRANSFORMATION: THE DATA SCIENCE CATALYST

CHALLENGES OF IMPROVING PERFORMANCE ON ANDROID

QUIT WASTING TIME – CASE STUDIES IN PRODUCTION MACHINE LEARNING

ADOPTING MACHINE LEARNING TO DRIVE REVENUE AND MARKET SHARE

APPLYING MACHINE LEARNING TO MODERNIZE BUSINESS PROCESSES

HOW TO MONETIZE AND PRODUCTIZE DATA SCIENCE

PANEL | APPLYING MACHINE LEARNING AND AI TO FINANCE AND TECHNOLOGY

Kaggle 1st Place in 30 minutes

Data Science at Toyota Connected

Automated Machine Learning for Time-Series Predictions

Building a Data Driven Product Mindset

Building A Model To Predict Data Science Wins

PANEL | The future of machine learning and AI in Finance and Technology

Finance

DATA & MACHINE LEARNING - DEFINING FUTURE OF CONSUMER LENDING

MACHINE LEARNING AND FINANCE; DEFINING USE CASES AND GATHERING DATA

MULTIVARIATE TIME SERIES FORECASTING USING STATISTICAL MODELS AND NEURAL-NETWORK BASED MODELS

REVOLUTIONARY FINANCIAL INCLUSION : DEVELOPING CREDIT SCORING ENGINES WITH ALTERNATE DATASTES

RECENT ADVANCES IN NLP AND HOW THEY IMPACT TRADING

SOLVING EXPLAINABLE AI CHALLENGES FOR THE FICO SCORE

PANEL: APPLYING MACHINE LEARNING & AI TO FINANCE, HEALTHCARE & TECHNOLOGY

MCL CLUSTERING OF SPARSE GRAPHS

INTERACTIVE DATA VISUALIZATION IN CREDIT APPLICATIONS: THE CHANGING FACE OF CREDIT ANALYSIS

PANEL | APPLYING MACHINE LEARNING AND AI TO FINANCE AND TECHNOLOGY

An Applied Introduction to LDA Topics

PANEL | The future of machine learning and AI in Finance and Technology

Media & Entertainment

MACHINE LEARNING FOR CONTEXTUAL TARGETING

UTILIZING DATA AND DATA SCIENCE TO OPTIMIZE TUNE-IN

ON THE ROAD TO MORE HOLISTIC PLAYER UNDERSTANDING

CAN DATA SCIENCE HELP US FIND WHAT MAKES A HIT TELEVISION SHOW?

CONTENT SIMILARITY

MEASURE AD EFFECTIVENESS

MACHINE LEARNING & AI: DEMYSTIFIED FOR TV ADVERTISING

APPLY NATURAL LANGUAGE PROCESSING IN SEGMENTING ONLINE AUDIENCE

HOW SPATIAL ANALYSIS AND DATA SCIENCE GO TOGETHER

HULU AND HANG: UNDERSTANDING VIEWER SESSIONS WITH BIG DATA

DATA SCIENCE AT THE NEW YORK TIMES

MULTI-TASK LEARNING FOR NEWS ANALYSIS

THE FREEWHEEL FLYWHEEL: HOW ADDRESSABLE ADVERTISING AND MACHINE LEARNING ARE TRANSFORMING THE TELEVISION LANDSCAPE

PANEL | APPLYING AI AND MACHINE LEARNING TO MEDIA AND ENTERTAINMENT

THIS IS US = IS THIS US? QUANTIFYING SIMILARITY IN MACHINE LEARNING AND AI

EDIT MEETS AI: MATCHING CONTENT WITH AUDIENCES

AUTOMATED MACHINE LEARNING - USING AI TO BUILD BETTER AI

DATA SCIENCE AND ANALYTICS AT TUMBLR

MODELING HULU SUBSCRIBER BEHAVIOR WITH NEURAL NETWORKS

BUILDING A TRUE ENTERPRISE DATA GOVERNANCE PLATFORM FOR THE MODERN MACHINE LEARNING ERA

DATA SCIENCE & ENTERTAINMENT PRODUCTION

AI IN THE NEW ERA OF MOVIE GOING

HOW MANY DATA SCIENTISTS DOES IT TAKE TO BUILD A RECOMMENDER SYSTEM?

OUR NEW PUBLISHING PLATFORM WILL MAKE YOU A BETTER WRITER: USING AI TO ASSIST THE NEWSROOM

PANEL | APPLYING AI AND MACHINE LEARNING TO MEDIA AND ENTERTAINMENT

DATA SCIENCE AT SCALE FOR 21ST CENTURY MEDIA

BRIDGING DATA SCIENCE & DATA ENGINEERING: RED BULL TV

DATA IS THE SOLUTION: HOW IMMERSIVE SMART ADS & AI HELP ENTERTAINMENT BRANDS WIN!

ISOLATING THE EFFECTS OF ARTIST ACTIVATION ON AUDIENCE GROWTH

DON'T REINVENT THE WHEEL: SOME STATISTICS METHODS EVERY DATA SCIENTIST SHOULD KNOW

THE BEAUTY & ELEGANCE OF COLLABORATIVE FILTERING

ANOMALY DETECTION AT BUZZFEED

CLUSTERING YOUTUBE: A TOP DOWN AND BOTTOM UP APPROACH

DEEP LEARNING AS A PRODUCT @ SCRIBD

A JOURNEY OF DEPLOYING A DATA SCIENCE ENGINE TO PRODUCTION

MAKING BIG DATA SMART

The Age of Co-Creation™

Building smart AI: How deep learning can get you into deep trouble

CONTENT METRICS AT BUZZFEED

Panel | Data Science Applications in Media and Entertainment

Data Visualization

HOW GRAPH TECHNOLOGY IS CHANGING AI

A VISUAL JOURNEY THROUGH ILLINOIS TRAFFIC STOPS RACIAL BIAS ANALYSIS

WHAT YOU DESIGN IS NOT WHAT PEOPLE SEE: WHY DATA VISUALIZATION IS MORE COMPLICATED THAN YOU THINK

VISUALIZING HIGH DIMENSIONAL DATA WITH MANIFOLD LEARNING IN R

DATA VISUALIZATION AND ANALYSIS IN THE FLORIDA PANTHERS HOCKEY ORGANIZATION

Culture

CULTURE, DATA ENGINEERING & HAMBURGER STANDS: THOUGHTS FROM THREE YEARS OF DATA SCIENCE AT NETFLIX

BUILDING A DATA SCIENCE CULTURE

MACHINE LEARNING IS HARD (AND YOU’RE PROBABLY NOT VERY GOOD AT IT)

Technical

RECENT ADVANCES IN NLP AND HOW THEY IMPACT TRADING

PYTHON IN PRODUCTION

BEYOND LOGISTIC REGRESSION: TEXT EMBEDDINGS FOR EXOTIC DOWNSTREAM NLP TASKS

THIS IS US = IS THIS US? QUANTIFYING SIMILARITY IN MACHINE LEARNING AND AI

DATA SCIENTISTS ARE EDUCATORS!

CATBOOST - THE NEW GENERATION OF GRADIENT BOOSTING

AUTOMATED MACHINE LEARNING - USING AI TO BUILD BETTER AI

THE OPEN DATA SCIENCE PLATFORM

IOT & ANALYTICS: CONDITION BASED MAINTENANCE

AUTOMATED FEATURE ENGINEERING

DEEP LEARNING: A PARADIGM SHIFT IN MACHINE LEARNING

REVOLUTIONARY FINANCIAL INCLUSION : DEVELOPING CREDIT SCORING ENGINES WITH ALTERNATE DATASTES

MULTIVARIATE TIME SERIES FORECASTING USING STATISTICAL MODELS AND NEURAL-NETWORK BASED MODELS

DON'T REINVENT THE WHEEL: SOME STATISTICS METHODS EVERY DATA SCIENTIST SHOULD KNOW

THEORETICAL VS APPLIED MODEL BUILDING: CROSSING THE PRACTICAL APPLICATION DIVIDE

BUILDING THE DATA QUALITY FLYWHEEL

MULTI-TASK LEARNING FOR NEWS ANALYSIS

MODELING HULU SUBSCRIBER BEHAVIOR WITH NEURAL NETWORKS

OUR NEW PUBLISHING PLATFORM WILL MAKE YOU A BETTER WRITER: USING AI TO ASSIST THE NEWSROOM

INTERPRETABLE PREDICTIVE MODELS IN THE HEALTHCARE DOMAIN

QUIT WASTING TIME – CASE STUDIES IN PRODUCTION MACHINE LEARNING

MACHINE LEARNING FOR PERSONALIZED CANCER VACCINES

MCL CLUSTERING OF SPARSE GRAPHS

DEEP LEARNING IN MEDICINE

INTERACTIVE DATA VISUALIZATION IN CREDIT APPLICATIONS: THE CHANGING FACE OF CREDIT ANALYSIS

Kaggle 1st Place in 30 minutes

Automated Machine Learning for Time-Series Predictions

An Applied Introduction to LDA Topics

CLUSTERING YOUTUBE: A TOP DOWN AND BOTTOM UP APPROACH

DEEP LEARNING AS A PRODUCT @ SCRIBD

A JOURNEY OF DEPLOYING A DATA SCIENCE ENGINE TO PRODUCTION

Building smart AI: How deep learning can get you into deep trouble

CONTENT METRICS AT BUZZFEED

Healthcare

PANEL: APPLYING MACHINE LEARNING & AI TO FINANCE, HEALTHCARE & TECHNOLOGY

INTERPRETABLE PREDICTIVE MODELS IN THE HEALTHCARE DOMAIN

MACHINE LEARNING FOR PERSONALIZED CANCER VACCINES

DEEP LEARNING IN MEDICINE

A Predictive Model Use Case in the Healthcare Domain

Retail & Ecommerce

HOW TO AUTOMATE PRICING WITH MACHINE LEARNING: CHALLENGES & LEARNINGS

CHALLENGES IN MACHINE LEARNING FROM MODEL BUILDING TO DEPLOYMENT AT SCALE

THE CARE & FEEDING OF DATA SCIENTISTS

USING MACHINE LEARNING TO TARGET HOUSEHOLDS IN LARGE SCALE DIRECT MARKETING

ENABLING BETTER SHOPPING EXPERIENCES USING TECHNOLOGY, DATA, & FASHION ATTRIBUTES

JUST ASK: DESIGNING INTENT-DRIVEN ALGOS

BEING AGILE WHEN DEVELOPING AI PRODUCTS

USING DEEP LEARNING TO BUILD A UNIFIED E-COMMERCE MARKETPLACE

THE AI KNOBS: TIPS & TRICKS TO JUMPSTART AI PROJECT

SEARCH ENGINE IN STARTUPS: WHAT TO OPTIMIZE

NEW FRONTIERS IN ML-DRIVEN CUSTOMER INTELLIGENCE

CASE STUDIES IN DATA-DRIVEN MERCHANDISING

IMPROVING WORLD'S LARGEST ONLINE GROCERY CATALOG: A DATA SCIENCE STORY

REAL TIME, CONTEXTUAL & PERSONALIZED RECOMMENDATIONS

CUSTOMER LIFETIME VALUES: REVISIONS FOR A DIGITAL RETAIL BRAND

APPLICATIONS OF EMBEDDINGS AND DEEP LEARNING AT GROUPON