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Avis et commentaires pour d'étudiants pour Machine Learning With Big Data par Université de Californie à San Diego

4.6
étoiles
1,722 évaluations
350 avis

À propos du cours

Want to make sense of the volumes of data you have collected? Need to incorporate data-driven decisions into your process? This course provides an overview of machine learning techniques to explore, analyze, and leverage data. You will be introduced to tools and algorithms you can use to create machine learning models that learn from data, and to scale those models up to big data problems. At the end of the course, you will be able to: • Design an approach to leverage data using the steps in the machine learning process. • Apply machine learning techniques to explore and prepare data for modeling. • Identify the type of machine learning problem in order to apply the appropriate set of techniques. • Construct models that learn from data using widely available open source tools. • Analyze big data problems using scalable machine learning algorithms on Spark. Software Requirements: Cloudera VM, KNIME, Spark...

Meilleurs avis

PR

Jul 19, 2018

Excellent course, I learned a lot about machine learning with big data, but most importantly I feel ready to take it into more complex level although I realized there is lots to learn.

BK

Mar 06, 2020

This is starting course for Machine Learning. Very well explained and after finishing this course, one will get interest in continuing and exploring further in Machine Learning field.

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226 - 250 sur 334 Avis pour Machine Learning With Big Data

par selvaraj

Mar 21, 2019

good

par KOUSHIK C

Dec 17, 2017

5/5

par Jose J H G

Apr 26, 2020

Se abordan conceptos teoricos muy importantes pero el uso de pyspark en algunas oportunidades es complicado ya que no se da una introducción al tema, por lo q se da por sentado que la persona que hace el curso debe conocer pyspark. Adicionalmente me parece interesante instalar pyspark en mi propia maquina sin tener que usar una Maquina virtual de cloudera.

par Jose F Z R

Jan 20, 2017

Good overview of tools specially Spark. The last demo handson with Spark clustering had too much content to be covered in 11 minutes. The presenter does not give any details on many functions he was using. Felt like copy paste coding. The rest was good, specially the lecturer compared to the lecturers of the other courses of the specialisation.

par Ramya S

Mar 03, 2018

The entire coursework is very well explained and organized such that we will get better understanding of the terms related to this field. Hands-on exercises have also given better insight of how to use those tools. I would suggest to take this course for getting a brief knowledge about Machine Learning and Big Data.

par Juan E F A

Apr 27, 2020

The content of this course is very useful. I really enjoyed it. The only problem I had was the possibility to work with an instance of Apache Spark in my laptop. This machine couldn't initiate the instance because of its capacity. I think they should recommend other online utility for the hands-on practices.

par Ravisankar S

Dec 17, 2019

Only one concern that was faced during the course is, unfortunately, all the needed spark related libraries are not available to setup. It would have been nice, if either online compilers or readily accessible along with the course, would have become learners journey smooth.

par carlos f o

Apr 27, 2020

Un excelente curso, para aprender ML, y buenas herramientas, aunque el uso de Cloudera para Big Data es pesado para procesar incluso como VM. se refuerzan conceptos. aunque algunas veces si es bueno detallar algunas etapas como la normalizacion que es muy importante.

par Ahmed O

Oct 21, 2017

very good introduction to the topic. I enjoyed the hands on exercises but wanted more explanations and may be more reading/exercise and in depth to pyspark. Overall I would recommend this course for anyone like me just starting to scratch the surface on chine learning.

par Ahmed M S

Mar 25, 2020

This course is really nice and interesting one. Dr. Mai is excellent instructor and has good capabilities to simplify complex ideas. However, I did disagree with the course name since a main subject of this course "big data" is not touched in the given sample dataset.

par Roman J

Dec 01, 2016

Have to make sure that code provided are fine and without problem... also, better instructions on how to go about the tool needed to use. Remember, we are learning and the amount of tools in Big Data ecosystem is vast...

par John C

Dec 09, 2018

Interesting material. Ran into several issues with the hands on that could have been avoided. Loved learning more about Neo4J. The section on Spark needed more time and additional descriptions.

par Jürgen B

Oct 31, 2018

Reasonable overview. The VM environment is a major challenge for my hardware. Takes more time to make it work than it should. I am wondering if a cloud solution e.g. GCP would be better.

par Jamal A

May 10, 2017

Great overview about the machine learning in general. There are still lots not covered specially the Neural Network algorithms. Learning Spark MLlib was great advantage of this course.

par Tariq A

Dec 27, 2019

The fact that the assignments are graded means that there’s incentive to work on them, solve problems, and ask questions. Traditional online courses don’t offer that incentive.

par Dushyant

Sep 07, 2017

Hands n exercises and corresponding quizzes are great !Content could be more detailed, but may be I felt it so given my past exposure to ML. I enjoyed learning Knime and Spark.

par SUNITHA N

Dec 04, 2017

The precise definitions for many commonly used terms were very helpful. You do not find these details in many books or documents. Also, using KNIME was also interesting

par Thomas H

Nov 27, 2016

Good overview of working with SPARK and KNIME - acceptable little theoretical background for all the presented concepts for the sake of application use.

par vishal c

Sep 12, 2017

This is a good course to understand how we can apply basic ML algorithm like classification, clustering using KNIME and Spark ML on very high level.

par Gustavo I M

Jul 03, 2019

Good, would be better if was in portuguese. and sometime is very painful configure the machine. But is a good course, better than the previus 3

par Miguel A R B

Jan 12, 2020

There was a good explanation of concepts, but I think it was possible to include more themes or empathize more in other techniques.

par Matteo B

Apr 05, 2018

This course gives a good overview of the main machine learning techniques to analyze data using either spark or a GUI tool (KNIME).

par Sun W

Sep 24, 2019

Generally its good content. However the VM setup is still horrible. Many time wasted on debugging and set up environment.

par Jose R Z

Sep 03, 2019

The concepts in the course are very good but very basics in machine learning, it's a good introduction to knime and spark

par Irfan S

Nov 25, 2017

Good course for new comers. Regression and Clustering concepts were explained in very high level and need some in depth.