Piotrków Trybunalski

Hotel AGAT, Wojska Polskiego 118, Piotrków Trybunalski, Polska, 97 - 300
The training room is located 2 kilometers from the city center.

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Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP

21 godzin
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Apache Spark MLlib

35 godzin
MLlib is Spark’s machine learning (ML) library. Its goal is to make practical machine learning scalable and easy. It consists of common learning algorithms and utilities, including classification, regression, clustering, collaborative filtering, dimensionality reduction, as well as lower-level optimization primitives and higher-level pipeline APIs. It divides into two packages:
  • spark.mllib contains the original API built on top of RDDs.
  • spark.ml provides higher-level API built on top of DataFrames for constructing ML pipelines.
  Audience This course is directed at engineers and developers seeking to utilize a built in Machine Library for Apache Spark
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Opinie uczestników (17)

This is one of the best hands-on with exercises programming courses I have ever taken.

Laura Kahn
Szkolenie - Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP

A lot of practical examples, different ways to approach the same problem, and sometimes not so obvious tricks how to improve the current solution

Rafał - Nordea
Szkolenie - Apache Spark MLlib

Wszystko ok.

Marek Siódmiak - Santander Bank Polska
Szkolenie - Spark for Developers

Zaangażowanie i chęć wyjaśnienia tematów pobocznych.

Marek - Krajowy Rejestr Długów Biuro Informacji Gospodarczej S.A.
Szkolenie - Apache Spark Fundamentals

Doświadczenie praktyczne trenera, nie koloryzowanie omawianego rozwiązania ale też nie wprowadzanie negatywnego nacechowania. Mam poczucie, że trener przygotowuje mnie do realnego i praktycznego wykorzystania narzędzia - tych cennych szczegółów nie ma zazwyczaj w książkach.

Krzysztof Miodek - Krajowy Rejestr Długów Biuro Informacji Gospodarczej S.A.
Szkolenie - Apache Spark Fundamentals

Doing similar exercises different ways really help understanding what each component (Hadoop/Spark, standalone/cluster) can do on its own and together. It gave me ideas on how I should test my application on my local machine when I develop vs when it is deployed on a cluster.

Thomas Carcaud - IT Frankfurt GmbH
Szkolenie - Spark for Developers

Ajay was very friendly, helpful and also knowledgable about the topic he was discussing.

Biniam Guulay - ICE International Copyright Enterprise Germany GmbH
Szkolenie - Spark for Developers

Ernesto did a great job explaining the high level concepts of using Spark and it's various modules.

Michael Nemerouf
Szkolenie - Spark for Developers

Sufficient hands on, trainer is knowledgable

Chris Tan
Szkolenie - A Practical Introduction to Stream Processing

The VM I liked very much The Teacher was very knowledgeable regarding the topic as well as other topics, he was very nice and friendly I liked the facility in Dubai.

Safar Alqahtani - Elm Information Security
Szkolenie - Big Data Analytics in Health

Having hands on session / assignments

Poornima Chenthamarakshan - Intelligent Medical Objects
Szkolenie - Apache Spark in the Cloud

1. Right balance between high level concepts and technical details. 2. Andras is very knowledgeable about his teaching. 3. Exercise

Steven Wu - Intelligent Medical Objects
Szkolenie - Apache Spark in the Cloud

very interactive...

Richard Langford
Szkolenie - SMACK Stack for Data Science

Exercises and exchanges during questions/answers

Antoine - Physiobotic
Szkolenie - Scaling Data Pipelines with Spark NLP

The good humor, support and skills of the trainer.

Oumayma - Physiobotic
Szkolenie - Scaling Data Pipelines with Spark NLP

The fact that we were able to take with us most of the information/course/presentation/exercises done, so that we can look over them and perhaps redo what we didint understand first time or improve what we already did.

Raul Mihail Rat - Accenture Industrial SS
Szkolenie - Python, Spark, and Hadoop for Big Data

I liked that it managed to lay the foundations of the topic and go to some quite advanced exercises. Also provided easy ways to write/test the code.

Ionut Goga - Accenture Industrial SS
Szkolenie - Python, Spark, and Hadoop for Big Data

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Konsultacje

Apache Spark MLlib Konsultacje
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