https://anchor.fm/shmuel-pollen/episodes/Introduction-To-Judaism-For-Gentiles---Part-2-e6di2j
Python for Data Visualization & Fraud Detection Bootcamp
> Make a Credit Card Fraud Detection Model in Python. Learn how to keep your data safe! > Learn TensorFlow and how to build models of linear regression > Understand basic 3D plotting.
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Metals, Miners and Forex Premium Membership
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DataScience New York 2019(January 23-24)
Join us in New York, January 23-24, for this unique peer-to-peer event for top data science minds. Explore how to drive innovation within your business through a data-driven culture, build a world-class team, and utilize the latest innovation to solve some of the toughest problems facing corporate America.
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Advanced Artificial Intelligence Projects with Python
> Extract names, places, and more and their relationships from text > Use deep reinforcement learning to build an AI that plays arcade games > Use popular libraries such as Keras and TensorFlow for reinforcement learning
http://bit.ly/2UNvcmH
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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Applied Statistical Modeling for Data Analysis in R
> Identify which statistical techniques are best suited to their data and questions > Implement different statistical analysis in R and interpret the results > Have a strong foundation in fundamental statistical concepts
http://bit.ly/2OoAqDb
> 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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