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ODSC West 2018 | Open Data Science Conference
Open Data Science Conference - Santa Clara, CA. Learn by doing. Build your own models & meet some of the world's top data scientists. 140 talks & workshops.

Open Data Science Conference 2018, California(Oct 31st- Nov 3rd)

Meet The Speaker - Daphne Koller, PhD, Founder & CEO, Adjunct Professor Stanford , Insitro

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Applied AI: Artificial Intelligence with IBM Watson

Applied AI: Artificial Intelligence with IBM Watson

> Getting Started with AI using IBM Watson > Building AI Powered Chatbots Without Programming > Python for Data Science and AI >Building AI Applications with Watson APIs

(This is an affiliate link) http://bit.ly/2GzwWeZ

Recommender Systems

Recommender Systems

> Nearest Neighbor Collaborative Filtering > Recommender Systems: Evaluation and Metrics > Matrix Factorization and Advanced Techniques

http://bit.ly/2QAre3s

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Foundations of Marketing Analytics

Foundations of Marketing Analytics

> Meaningful Marketing Insights > Managing Uncertainty in Marketing Analytics > Forecasting Models for Marketing Decisions > Survey analysis to Gain Marketing Insights

http://bit.ly/2ZfDRkT

Data Science Career Track Prep Course

Data Science Career Track Prep Course

Learn the foundational coding and statistics skills needed to pass our Data Science Career Track admissions challenge.

> Use Python to complete real-world coding exercises and begin your data science journey > Confidently tackle our Data Science Career Track admissions challenge

http://bit.ly/2Xrb4fk

Data Science Bootcamp: Pay only after you get a data science job.

Data Science Bootcamp: Pay only after you get a data science job.

> Unlimited 1:1 mentor support > Hands-on experience > Job guarantee

http://bit.ly/2L4aBJC

Comprehensive Statistics and Data Science with R

Comprehensive Statistics and Data Science with R

> How to use R as a statistical environment following many examples. > How to estimate create and interpret ANOVA, GLM, GAM and regression statistical models with number of examples on each topics. > How to create statistical and other visualizations using both the base and gplot graphics capabilities in R.

http://bit.ly/2MqHq5I

Learn Python AI for Image Recognition & Fraud Detection

Learn Python AI for Image Recognition & Fraud Detection

> Learn TensorFlow and how to build models of linear regression. > Make an image recognition model with CIFAR. > Make a Credit Card Fraud Detection Model in Python. Learn how to keep your data safe!

http://bit.ly/2T5dOKv

Probability and Statistics for Business and Data Science

Probability and Statistics for Business and Data Science

> Understand how to use various statistical distributions > Apply statistical methods and hypothesis testing to business problems > Understand how regression models work

(This is an affiliate link)

http://bit.ly/2Nk0fU8

Computer Vision

Computer Vision

> Image Processing, Features & Segmentation > Stereo Vision, Dense Motion & Tracking > Visual Recognition & Understanding

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