Open Data Science Conference 2018, California(Oct 31st- Nov 3rd)
Meet The Speaker - Daphne Koller, PhD, Founder & CEO, Adjunct Professor Stanford , Insitro
@odsc
Big Data Analytics with R: Leverage R Programming to uncover hidden patterns in your Big Data
>Get a practical knowledge of R programming language while working on Big Data platforms like Hadoop, Spark, H2O and SQL/NoSQL databases >Explore fast, streaming, and scalable data analysis with the most cutting-edge technologies in the market
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Computer Vision
> Image Processing, Features & Segmentation > Stereo Vision, Dense Motion & Tracking > Visual Recognition & Understanding
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Big Data Analytics Projects with Apache Spark
> Examine a number of real-world use cases and hands-on code examples > Explore the Map/Reduce Hadoop and Spark approach for solvinto solveg data analysis problems. > Write programs for complex data analysis and solving to solve real real-world problems
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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
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Hadoop, MapReduce for Big Data problems : Learn By Example
> Develop advanced MapReduce applications to process large-scale data analysis > How to use Hadoop and MapReduce at the same time to solve a wide variety of problems including NLP data assembling to Inverted Indices and Recommendations > Understand HDFS, MapReduce and YARN and how they simultaneously interact with each other in one program
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