设计星素材分享平台 From 0 to 1 : Spark for Data Science with Python

收藏
50积分下载

素材介绍

From 0 to 1 : Spark for Data Science with Python

From 0 to 1 : Spark for Data Science with Python

Duration: 8h 19m | Video: h264, 1280x720 | Audio: AAC, 44100 Hz, 2 Ch | 10 GB

Genre: eLearning | Language: English | Project Files

From 0 to 1 : Spark for Data Science with Python 14 Days Free Access to USENET! Free 300 GB with Full DSL-Broadband Speed! From 0 to 1 : Spark for Data Science with Python Video Description Get your data to fly using Spark for analytics, machine learning and data science Let's parse that. What's Spark? If you are an analyst or a data scientist, you're used to having multiple systems for working with data. SQL, Python, R, Java, etc. With Spark, you have a single engine where you can explore and play with large amounts of data, run machine learning algorithms and then use the same system to productionize your code.Analytics: Using Spark and Python you can analyze and explore your data in an interactive environment with fast feedback. The course will show how to leverage the power of RDDs and Dataframes to manipulate data with ease. Machine Learning and Data Science : Spark's core functionality and built-in libraries make it easy to implement complex algorithms like Recommendations with very few lines of code. We'll cover a variety of datasets and algorithms including PageRank, MapReduce and Graph datasets. Style and Approach A 8 hour high-quality courses available at super low prices to cover Spark, Machine Learning and Data Science Table of Contents YOU, THIS COURSE AND US INTRODUCTION TO SPARK RESILIENT DISTRIBUTED DATASETS ADVANCED RDDS: PAIR RESILIENT DISTRIBUTED DATASETS ADVANCED SPARK: ACCUMULATORS, SPARK SUBMIT, MAPREDUCE, BEHIND THE SCENES JAVA AND SPARK PAGERANK: RANKING SEARCH RESULTS SPARK SQL MLLIB IN SPARK: BUILD A RECOMMENDATIONS ENGINE SPARK STREAMING GRAPH LIBRARIES What You Will Learn Use Spark for a variety of analytics and Machine Learning tasks Implement complex algorithms like PageRank or Music Recommendations Work with a variety of datasets from Airline delays to Twitter, Web graphs, Social networks and Product Ratings Use all the different features and libraries of Spark : RDDs, Dataframes, Spark SQL, MLlib, Spark Streaming and GraphX Authors Loonycorn Loonycorn is Janani Ravi and Vitthal Srinivasan. Between them, they have studied at Stanford, been admitted to IIM Ahmedabad and have spent years working in tech, in the Bay Area, New York, Singapore and Bangalore. Janani: 7 years at Google (New York, Singapore); Studied at Stanford; also worked at Flipkart and Microsoft Vitthal: Also Google (Singapore) and studied at Stanford; Flipkart, Credit Suisse and INSEAD too. They think they might have hit upon a neat way of teaching complicated tech courses in a funny, practical, engaging way, which is why they are so excited to be here. They hope you will try our offerings, and you'll like them

wolves

166
12788333

77组电影外观Log/Rec709视频还原色彩分级调色Lut预设包Pixflow – Colorify Cinematic LUTs
- 275
- 0
- 0
- 0
复古怀旧电影风格温暖色调索尼Sony S-Log3视频调色LUT预设ROMAN HENSE – LUTs 24 for Sony S-Log3
- 290
- 0
- 0
- 0
JUAN MELARA – P6K2Alexa PowerGrade AND LUTs V2 GEN 5
- 238
- 0
- 0
- 0