One of the best courses. Knime is an awesome tool. I will use it on my job going forward. this is the second course were I find the cloudera environment to learn spark. I think it is really hard to setup for a business environment, but I will give it a try. Many thanks to you.

A very good introduction to fundamentals of machine learning from a practitioner's perspective, without going into mathematical details (there are many other courses for that). The focus was on using big data systems for performing ML tasks and it was introduced quite well.

Un curso muy práctico, si se toma a conciencia cada conjunto de videos y lecturas se aprende bastante, realizar los laboratorios es fundamental para el aprendizaje. El curso está bien diseñado y tiene un carácter introductorio. No es un curso para estudiantes avanzados.

I was really happy to take this course after the last two had really disappointed me. The organization was a lot stronger which led to a better understanding. The hands-on problems were also very thorough. It was a great introduction to machine learning with big data.

I strongly suggest anyone who enrolls into this course currently forgets about VirtualBox and Pyspark and just use Pandas and sk-learn to finish all the tasks. It will save you lots of time on handling unknow networking and dependencies problems

I would have like to seen how to compare models using KNIME. For example the hands on could have explored a number of classification models and then simplified this KNIME youtube video to demonstrate how to select the best model using ROC

It's been a little difficult but I am happy, I will take a machine learning course with R. I used databricks for processing since my Mac it's old, databricks it's free and nice but I couldn't run the libraries matplotlib parallels plot.

Excelente!!! altamente recomendado, para quienes comienzan en el mundo del análisis de datos, ya que se hace un repaso exhaustivo de las herramientas que ofrece las matematicas y la estadistica en direccion de conseguir ese objetivo.

This is really very useful course to start with machine learning which goes through all terminology and basic algorithms in detail with hands on. More information about Spark would have been little bit more useful.

It was an interesting and very informative course. The course was well planned and tutors were brilliant. The course was useful from a practical point of view. Thanks, Coursera for proving such an amazing course.

Este curso presenta de manera clara los conceptos introductorios necesarios para realiza el " Machine Learning", las palabras finales de la tutora son un gran ejemplo y una metodología a seguir. Excellent course

The instructores were great. Extremely clear and detailed. I really learned a lot and would recommend this course to everyone wanting to have a general overview of machine learning for data analysis. Great job.

very good overview of machine learning. Hands on exercises gives a solid platform to explore the real problems. Realize that ML is all about experiments doing , no theory. More u get ur hands dirty more u learn

this course is amazing and its one of the most interesting and informative one in this specialization i really enjoyed it and the instructor is great and illustrates everything in a very simple and clear way

I really enjoyed the course since it's match with my patience and work, in addition I'd like to highlight the instructor, clear,organized idea and steps, this was 70% of the success of the course I believe.

I highly recommend this course. Well explained, simple but complete enough to capture the basics of machine learning applied to big data analysis. It also has a good balance between theory and practice.

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!

Very interesting and well planned to cover the expectations of the first level course to motivate the student to continue in this conceptual and application framework in the BigData scenario.

The course was the best introduction I had for machine learning. Helped me a lot to understand different concepts from people who already know about the subject and I didn't have any idea.

Buen curso, le exige bastante al estudiante, sin embargo hay pasos en los cuales se debe investigar fuera del curso para poder completar las tareas en los software. Sin embargo muy bueno

I am so much pleased with this course. Very much convinced by the presentation, way of speech, and the script of the Instructor. I am so excited to learn more about Machine Learning.

I learned a lot especially the techniques, metrics and I loved the practical exercises. I did not know the KNIME application, which makes data analytics much easier.

Thanks

This has given me foundational knowledge in Machine Learning for someone who is not a practitioner. Thank you Mai Nguyen for the excellent course presentation. Keep it up.

Muy buen curso introductorio en Aprendizaje automático apoyado en pyspark. los vídeos fueron muy instructivos y la profesora que los presenta explica muy bien los temas.

Amazing training on ML for people starting their first experiences with the topic. Practical and easy to understand examples that can be further extended by the student.