conference

ODSC East 2018 (Open Data Science Conference)

by Open Data Science Conference

September 2018

43h 15m

English

Pearson

Closed Captioning available in English, Japanese, Korean, Chinese (Simplified), Chinese (Traditional)

Watch now

Unlock full access

Course outline

The Social Disease Known as Hype in AI and How to Separate What AI can do and What People Wish it Would do—Gary Marcus
29m 17s
Current and Future Trends in AI, Machine Learning, and Data Science—Kirk Borne
32m 10s
Weapons of Math Distraction: Separating Data Facts and Opinion—Catherine O'Neil
26m 52s
Building a Data Science Company—Drew Conway
24m 49s
Towards Identity Resolution: The Challenge of Name Matching—Gil Irizarry
36m 42s
Uplift Modeling for Driving Incremental Revenue by Display Remarketing—Jen Wang
1h 39m 58s
Using Data for Good—Brandon Rohrer
43m 52s
Collaborative Data science and How to Build a Data science Toolchain Around Notebook Technologies—Moonsoo Lee
39m 27s
Known Unknowns: Designing uncertainty into AI-powered systems—Sean Kruzel
38m 27s
Recommending the best hotels at TripAdvisor—Anyi Wang
35m 6s
The Hamiltonian Monte Carlo Revolution is Open Source: Probabilistic Programming with PyMC3—Austin Rochford
44m 57s
Comparing Models Using Resampling and Bayesian Methods—Max Kuhn, PhD
44m 23s
Distributed Tensorflow: Scaling Your Model Training—Neil Tenenholtz
33m 37s
Racial Bias in Facial Recognition Software—Stephanie Kim, Hillary Green-Lerman
33m 22s
Making Sense of the Biomedical Literature via Machine Learning and Natural Language Processing—Byron Wallace
51m 14s
Bayesian Statistics Made Simple—Allen Downey
1h 9m 41s
Visualization throughout the Data Science Workflow: Why it's useful, and how not to lie—Lindsay Brin, PhD
46m 54s
Analyzing Space: Spatial Data Science...—Andy Eschbacher
40m 16s
Datafy All The Things—Max Humber
32m 28s
Enter the Matrix: Unsupervised feature learning with matrix decomposition to discover hidden knowledge in high dimensional data—Aedin Culhane, PhD
53m 20s
Learning-to-learn: an Overview—Jennifer Prendki
44m 54s
Next Generation Indexes For Big Data Engineering—Daniel Lemire
36m 13s
Artificial Intelligence ‚Äì a journey to surpass the Turing test—Anisha Baidya, Michael Commons, Mansi Shah
37m 22s
Deep Learning Pipelines for Big Images—Michael Segala
41m 34s
Distributed TensorFlow using Kubernetes—Sertac Ozercan, Rita Zhang
43m 29s
Effective Transfer Learning for NLP—Madison May
44m 4s
Long Term Time Series Forecasting with Recurrent Neural Networks—Mustafa Kabul
49m 46s
Developing Machine Learning Solutions with Plugin Machine Intelligence for PDI—Kevin Haas, Dave Huh
45m 22s
Challenges and Opportunities in Applying Machine Learning—Alex Jaimes
55m 34s
Deploying your AI/ML investments—Jon Peck
29m 12s
Gradient Descent, Demystified—Michael Stewart
42m 4s
How AI-Powered Natural Language Processing of Social Data is Fueling a New Generation of Predictive Analysis—Rob Key, Mark Garrett
50m 4s
Machine Learning for Mobile Sensing Applications—Michael Bell, PhD
41m 46s
Try All the Things! Liberate Users while Reducing Risks in Open Source Data Science—Jordan Volz
39m 36s
Making the Most of Your Time Series: Signal Processing for Machine Learning applications—Keith Santarelli, Eric Schles
50m 57s
Exploiting Multi-class Probabilities for solving Network Security Anomalies using Supervised and UnSupervised Machine Learning Approaches—Ashrith Barthur, PhD
52m 27s
Machine Learning and Natural Language Processing for Detecting Fake News—Sihem Romdhani
45m 35s
Privacy and Machine Learning : Peanut Butter and Jelly—Steve Touw
46m 9s
TLDR ‚Äì automatic text summarization of documents at scale—Guilherme de Oliveira, PhD
43m 8s
To Bid or Not To Bid: Machine Learning in Ad Tech—Justin Fortier
51m 55s
A Breakthrough for Natural Language—Ben Vigoda
48m 54s
Data Science State of the Union, 2018—Peter Wang
35m 38s
How to Go From Data Science to Data Operations—Gil Benghiat
41m 47s
Making Business More Bayesian—Richard Tibbetts
22m 33s
DataOps: Enterprise Data that Doesn't Suck—Andrew Palmer
35m 6s
Blockchain and AI: future data systems must be built differently—Professor Alex Pentland, MIT
30m 10s
Look Who's Talking: A Deep Dive into the Medium of the Future ‚Äî Natural Language Conversation—Eyal Pfeifel
35m 16s
Marketing in a Machine Learning World—Drew Casey
26m 34s
The Adoption of AI in Business: Opportunities and Challenges:—Sam Ransbotham
27m 14s
Transfer Learning: Applications for natural language understanding—Dr. Catherine Havasi
29m 46s
Using Unstructured Data and Machine Learning to Understand Loss Events—Niranjan Thomas
24m 8s
Winning with AI: What's working, what needs work?—Manoj Saxena
27m 55s
Building an effective AI practice—Ram Ravichandran
29m 55s
AI and the World of Non-Profits—Rich Palmer
26m 1s
Building a Big Data Center Of Excellence—The Secret Sauce to your Data Journey ‚Äî The People.—Amy Cloudera
40m 18s
A viral model for scalable adoption of data science in a large financial organization?—Antonio Alvarez
30m 32s
Applied Finance: The Third Culture—Steve Lawrence
31m 17s
Mission Analytics: Common pitfalls and how to avoid them (A journey in an insurance company)—Delin Shen
30m 49s
Extracting Embedded Alpha from Social & News Data Using Statistical Arbitrage & Machine Learning—Arun Verma
27m 26s
Knowledge Graphs in Financial Technology—Future or Hype—Tomasz Adamusiak
29m 31s
Machine Learning Powers Better Decisioning in Financial Services—Alexander Statnikov
21m 15s
AI and Data Science in Investment—Kazhuri Shimbo
32m 46s
Algorithmic Transparency and Health Care: Where do we go from here?—Norma Padr√≥n
29m 50s
Product-Data Fit: The Lean Startup Methodology and Healthcare Data Products—Daniel Shenfeld, Afik Gal
27m 46s
AI and Big data in Medicine: Trust, Transparency and Transformation—Lynda Chin
32m 9s
What will you do with democratized health data?—QuHarrison Terry
23m 32s
A Physician-Data Scientist Grand Vision: A Virtual Medical Oracle—Anthony Chang
26m 47s
Harnessing the power of recommender system for drug off-target activity prediction—Ambrish Roy
22m 9s

Content preview from ODSC East 2018 (Open Data Science Conference)

Collaborative Data science and How to Build a Data science Toolchain Around Notebook Technologies—Moonsoo Lee

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.

Start your free trial

ODSC West 2018 (Open Data Science Conference)

ODSC Open Data Science Conference

ODSC East 2019 (Open Data Science Conference)

ODSC Open Data Science Conference

ODSC Europe 2018 (Open Data Science Conference)

ODSC Open Data Science Conference

Strata Data Conference 2017 - New York, New York

O'Reilly Media, Inc.

Publisher Resources

ISBN: 9780135432792

ODSC East 2018 (Open Data Science Conference)

by Open Data Science Conference

Keynotes

Data Science

Data Vizualization

Deep Learning / Machine Learning

Data Science Management

Business and Management

Business and Management: Finance

Business & Management: Healthcare

Content preview from ODSC East 2018 (Open Data Science Conference)

Collaborative Data science and How to Build a Data science Toolchain Around Notebook Technologies—Moonsoo Lee

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.

You might also like

ODSC West 2018 (Open Data Science Conference)

ODSC East 2019 (Open Data Science Conference)

ODSC Europe 2018 (Open Data Science Conference)

Strata Data Conference 2017 - New York, New York

Publisher Resources

Keynotes

Data Science

Data Vizualization

Deep Learning / Machine Learning

Data Science Management

Business and Management

Business and Management: Finance

Business & Management: Healthcare

Content preview from ODSC East 2018 (Open Data Science Conference)

Collaborative Data science and How to Build a Data science Toolchain Around Notebook Technologies—Moonsoo Lee

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,and much more.

You might also like

ODSC West 2018 (Open Data Science Conference)

ODSC East 2019 (Open Data Science Conference)

ODSC Europe 2018 (Open Data Science Conference)

Strata Data Conference 2017 - New York, New York

Publisher Resources

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.