Also interesting, and related, that the Flat Iron School was fined for almost a half million dollars for fraudulent salary claims and operating without a license [1] [1]…
+1 for "Elements of Statistical Learning", this is the basis for most rigorous intro to ML classes
Great class and great professor. One of my favorite classes from my degree.
Probability, and thus multivariate calculus and partial differential equations. Linear algebra. Convex Optimization, and thus multivariate and partial differential equations. Some principals of statistics is usually…
pyarrow has methods to convert to pandas, which scikit supports http://pyarrow.readthedocs.io/en/latest/pandas.html
Wow this is great. I've been working around the jvm to integrate sklearn and some spark jobs that produce Parquet. This is a huge relief
We ditched Spark Structured Streaming for Flink for a Kafka consumer, processing 3B events per day. Its been extremely stable so far, and half the cost of the spark cluster
Also interesting, and related, that the Flat Iron School was fined for almost a half million dollars for fraudulent salary claims and operating without a license [1] [1]…
+1 for "Elements of Statistical Learning", this is the basis for most rigorous intro to ML classes
Great class and great professor. One of my favorite classes from my degree.
Probability, and thus multivariate calculus and partial differential equations. Linear algebra. Convex Optimization, and thus multivariate and partial differential equations. Some principals of statistics is usually…
pyarrow has methods to convert to pandas, which scikit supports http://pyarrow.readthedocs.io/en/latest/pandas.html
Wow this is great. I've been working around the jvm to integrate sklearn and some spark jobs that produce Parquet. This is a huge relief
We ditched Spark Structured Streaming for Flink for a Kafka consumer, processing 3B events per day. Its been extremely stable so far, and half the cost of the spark cluster