Chevron Left
返回到 基于大数据的机器学习

學生對 加州大学圣地亚哥分校 提供的 基于大数据的机器学习 的評價和反饋

4.6
2,303 個評分
486 條評論

課程概述

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...

熱門審閱

JG
2020年10月24日

Excellent course. It teaches the basics with a great method and with practical exercises, involving real data. The sctructure is clear and it covers a good amount of topics. Well done San Diego!

PR
2018年7月18日

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.

篩選依據:

326 - 基于大数据的机器学习 的 350 個評論(共 467 個)

創建者 Juan E F A

2020年4月27日

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.

創建者 David L

2020年9月28日

This course is probably a little bit too simple for anyone with a basic background in machine learning. The introduction to KNIME was unexpected but a nevertheless welcome addition. The Pyspark course material could do with updating to reflect changes in a few python libraries.

創建者 Ravisankar S

2019年12月16日

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.

創建者 carlos f o

2020年4月27日

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.

創建者 Ahmed O

2017年10月21日

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.

創建者 Ahmed M S

2020年3月24日

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.

創建者 Dhananjay W

2020年10月28日

Non working libraries are there in cloudera. I got lot problems to install jupyter and ananconda therefore I used my os and installed everything indivisually. Please solve that. Anyway other things are awesome. Good Job. Thank you very much for providing this course.

創建者 Roman J

2016年11月30日

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...

創建者 John C

2018年12月9日

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.

創建者 Carlos A

2021年2月3日

The course is excellent, the hands on allow are realistic and allow you to have contact with the analysis tools and real Big Data applications. I am very happy and satisfied with the course.

創建者 Jürgen B

2018年10月31日

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.

創建者 Jamal A

2017年5月10日

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.

創建者 Tariq A

2019年12月27日

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.

創建者 Dushyant

2017年9月7日

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.

創建者 SUNITHA N

2017年12月4日

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

創建者 Santiago Z

2020年8月23日

Good course, but I found several problems in the virtual machine and it was difficult to solve them with the forum info. I had to rebuild the vm several times.

創建者 Thomas H

2016年11月27日

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

創建者 vishal c

2017年9月12日

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.

創建者 Gustavo I M

2019年7月3日

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

創建者 MartinsT

2020年11月12日

In my opinion this is one of the best courses in Big Data specialization. I hghly recommend it, because of the theory AND practical tasks.

創建者 Ofer K

2020年10月5日

I was expecting a deeper coverage of the ML algorithm, however the course was fun and it was useful for me to get acquainted with KNIME

創建者 Miguel A R B

2020年1月12日

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

創建者 Matteo B

2018年4月5日

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

創建者 Andres V N

2020年6月8日

great course, felt it was a bit basic for some stuff, would've liked more hands on.

Liked working with 2 tools, KNIME and Pyspark

創建者 Sun W

2019年9月24日

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