OR76 | C19666037D912DC814144A34FF60D0AE6A516E7C

OR76

Name	OR76	DOWNLOAD Copy Link
Total Size	5.2 GB
Total Files	47
Hash	C19666037D912DC814144A34FF60D0AE6A516E7C

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01 - Introduction.mp4	160.8 MB
02 - How to Use This Course.mp4	9.8 MB
03 - Getting Set Up – Installing Python, a JDK, Spark, and its Dependencies.mp4	107.6 MB
04 - Installing the MovieLens Movie Rating Dataset.mp4	101.3 MB
05 - Run Your First Spark Program – Ratings Histogram Example.mp4	135.0 MB
06 - Introduction to Spark.mp4	105.1 MB
07 - The Resilient Distributed Dataset (RDD) Z.mp4	101.5 MB
08 - Ratings Histogram Walkthrough.mp4	142.2 MB
09 - Key_Value RDDs and the Average Friends by Age Example.mp4	192.7 MB
10 - Running the Average Friends by Age Example.mp4	100.3 MB
11 - Filtering RDDs and the Minimum Temperature by Location Example.mp4	28.1 MB
12 - Running the Minimum Temperature Example and Modifying It for Maximums.mp4	132.6 MB
13 - Running the Maximum Temperature by Location Example.mp4	89.3 MB
14 - Counting Word Occurrences Using flatmap().mp4	29.0 MB
15 - Improving the Word Count Script with Regular Expressions.mp4	90.4 MB
16 - Sorting the Word Count Results.mp4	118.5 MB
17 - Find the Total Amount Spent by Customer.mp4	68.6 MB
18 - Check Your Results and Sort Them by Total Amount Spent.mp4	105.2 MB
19 - Check Your Sorted Implementation and Results Against Mine.mp4	86.4 MB
20 - Find the Most Popular Movie.mp4	117.8 MB
21 - Use Broadcast Variables to Display Movie Names Instead of ID Numbers.mp4	142.0 MB
22 - Find the Most Popular Superhero in a Social Graph.mp4	91.6 MB
23 - Run the Script – Discover Who the Most Popular Superhero is!.mp4	110.1 MB
24 - Superhero Degrees of Separation – Introducing Breadth-First Search.mp4	137.8 MB
25 - Superhero Degrees of Separation – Accumulators and Implementing BFS in Spark.mp4	80.3 MB
26 - Superhero Degrees of Separation – Review the Code and Run it.mp4	212.8 MB
27 - Item-Based Collaborative Filtering in Spark, cache(), and persist().mp4	156.3 MB
28 - Running the Similar Movies Script Using Spark's Cluster Manager.mp4	216.1 MB
29 - Improve the Quality of Similar Movies.mp4	77.8 MB
30 - Introducing Elastic MapReduce.mp4	99.5 MB
31 - Setting Up Your AWS _ Elastic MapReduce Account and PuTTY.mp4	264.2 MB
32 - Partitioning.mp4	88.3 MB
33 - Create Similar Movies from One Million Ratings – Part 1.mp4	110.6 MB
34 - Create Similar Movies from One Million Ratings – Part 2.mp4	222.3 MB
35 - Create Similar Movies from One Million Ratings – Part 3.mp4	121.2 MB
36 - Troubleshooting Spark on a Cluster.mp4	86.5 MB
37 - More Troubleshooting and Managing Dependencies.mp4	101.4 MB
38 - Introducing SparkSQL.mp4	25.0 MB
39 - Executing SQL Commands and SQL-Style Functions on a DataFrame.mp4	47.5 MB
40 - Using DataFrames Instead of RDDs.mp4	27.6 MB
41 - Introducing MLLib.mp4	102.6 MB
42 - Using MLLib to Produce Movie Recommendations.mp4	64.9 MB
43 - Analyzing the ALS Recommendations Results.mp4	129.1 MB
44 - Using DataFrames with MLLib.mp4	42.8 MB
45 - Spark Streaming and GraphX.mp4	120.6 MB
46 - Learning More about Spark and Data Science.mp4	294.0 MB
Torrent_downloaded_from_Demonoid.is_.txt	0.1 KB
Total files 47