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Scalable Machine Learning with Apache Spark

  • Tuition USD $1,500
  • Reviews star_rate star_rate star_rate star_rate star_half 531 Ratings
  • Course Code DB301-2
  • Duration 2 days
  • Available Formats Classroom

  • This course guides students through the process of building machine learning solutions using Spark. You will build and tune ML models with SparkML using transformers, estimators, and pipelines. This course highlights some of the key differences between SparkML and single-node libraries such as scikit-learn. Furthermore, you will reproduce your experiments and version your models using MLflow.
  • You will also integrate 3rd party libraries into Spark workloads, such as XGBoost. In addition, you will leverage Spark to scale inference of single-node models and parallelize hyperparameter tuning. This course includes hands-on labs and concludes with a collaborative capstone project. All of the notebooks are available in Python, and in Scala as well where available.

Skills Gained

  • Create data processing pipelines with Spark
  • Build and tune machine learning models with SparkML
  • Track, version, and deploy models with MLflow
  • Perform distributed hyperparameter tuning with Hyperopt
  • Use Spark to scale the interence of single-node models

Who Can Benefit

  • Data scientist Machine learning engineer

Prerequisites

Intermediate experience with Python Beginning experience with the PySpark DataFrame API (or have taken the Apache Spark Programming with Databricks class) Working knowledge of machine learning and data science

How do I enroll?

A comprehensive listing of ExitCertified courses can be found here. You can register directly for the required course/location when you select "register". If you have any questions or prefer to speak with an ExitCertified education consultant directly, please submit your query here. A representative will contact you shortly.

How do I pay for a class?

You can pay at the time of registration using credit card (Mastercard/Visa/American Express) cheque or PO.

What if I have training credits?

ExitCertified honors all savings programs from the partners we work with. ExitCertified also offers training credits across multiple partners through our FLEX Account.

When does class start/end?

Classes begin promptly at 9:00 am, and typically end at 5:00 pm.

Lunchtime?

Lunch is normally an hour long and begins at noon. Coffee, tea, hot chocolate and juice are available all day in the kitchen. Fruit, muffins and bagels are served each morning. There are numerous restaurants near each of our centers, and some popular ones are indicated on the Area Map in the Student Welcome Handbooks - these can be picked up in the lobby or requested from one of our ExitCertified staff.

How can someone reach me during class?

If someone should need to contact you while you are in class, please have them call the center telephone number and leave a message with the receptionist.

What languages are used to deliver training?

Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.

Instructions were clear, lab exercises were pertinent and self-explanatory, topic was thoroughly covered in the presented course material.

Very good and easy system, Azure pass registration process should be slightly better with not having to get a new outlook account.

Awesome training and trainers! Clear, straight to the point and extremely knowledgeable...

Classromm confortable and enviroment. Instructir knowlegeable of course matarial but need to align to students working in the Canadian Federal Govt. ve US Federal govt.

Course was thoroughly prepared and covered all the necessary applications and services. It was evident that the instructor had in-depth knowledge on Big Data (Data Analytics) as well as other AWS services.

0 options available

There are currently no scheduled dates for this course. If you are interested in this course, request a course date with the links above. We can also contact you when the course is scheduled in your area.

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