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Open Data Science Conference 2018, California(Oct 31st- Nov 3rd)
Meet The Speaker - Daphne Koller, PhD, Founder & CEO, Adjunct Professor Stanford , Insitro
@odsc
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
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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
> 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
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.
> Unlimited 1:1 mentor support > Hands-on experience > Job guarantee
http://bit.ly/2L4aBJC
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 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
> 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
> Image Processing, Features & Segmentation > Stereo Vision, Dense Motion & Tracking > Visual Recognition & Understanding
http://bit.ly/2IZOumi