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Learning about different AutoML
What do you like best about the product?
I like the flexibility to ingest different data sources. The user interface is intuitive and allows you to upload data into a project with a few clicks. Also, the portfolio of recipes and algorithms help expedite the development of different algorithms. One exercise that I'd like to do is to test the time-saving opportunities that I can have with this type of tool.
What do you dislike about the product?
This might sound picky, but I didn't like the drag and dropped functionality within the flow, it's hard to move things around.
What problems is the product solving and how is that benefiting you?
I'm using Dataiku mostly for use cases within the Healthcare Industry
Recommendations to others considering the product:
I'd recommend getting the certification. That's a good way to get your hands one using real-world problems to explore in detail the different functionalities of the software. Also, have a data catalog to understand all the components of your data
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Dataiku PoC Developer
What do you like best about the product?
User experience and suppported ML models
What do you dislike about the product?
Connectivity with certain Big Data environments like Kafka.
What problems is the product solving and how is that benefiting you?
Predicting employee attrition. reduce recruiting costs
Recommendations to others considering the product:
Web browser web is fantastic
Nice UI, but not necessary for certain applications
What do you like best about the product?
The ability to have "recipes" and pipelines for data is useful
What do you dislike about the product?
For my particular application if the software which was developing ML models, it was not necessary and I find using open source libraries like Pandas with my preferred python IDE to be the most versatile
What problems is the product solving and how is that benefiting you?
Data cleaning
Very useful and powerful in terms of deploying machine learning algorithms
What do you like best about the product?
Inbuilt machine learning deployment facility and easy integration with other code environments like Jupyter Notebook
What do you dislike about the product?
Needs to be a little more intuitive in nature
What problems is the product solving and how is that benefiting you?
Currently solving problems that require a data driven solution by leveraging machine learning algorithms. The inbuilt mechanism to train and predict using the models and choose the best model from dataiku has proved to be very useful
Recommendations to others considering the product:
Dataiku DSS will soon become the go to software for all our machine learning needs. It's a must know tool for every data scientist.
User Friendly Tool For Data Science Professionals
What do you like best about the product?
Scalability, Availability of various Pre processing Steps/Algorithms . And also the flexibility to tweak the algorithm parameters really helpful and useful
What do you dislike about the product?
Nothing to dislike about this product, was useful till date
What problems is the product solving and how is that benefiting you?
To design and compare various models, customize the models as per my need and also scale it up without having to code allot!
Recommendations to others considering the product:
Excellent option if you are not hands on with coding but have the knowledge skills of Machine Learning/Data Science
Mature software
What do you like best about the product?
Lot's of built in machine learning algorithms.
What do you dislike about the product?
Heavy to install and requires skills to configure
What problems is the product solving and how is that benefiting you?
Exploratory analysis, quick and easy
Recommendations to others considering the product:
give it a try
Lovely data analytics software with cool insights
What do you like best about the product?
The histograms on each column and the recommendation of outliers. The major like from my side would be the algorithm recommendation after building model.
What do you dislike about the product?
Data transformation could have been better with different summarization symbols.
What problems is the product solving and how is that benefiting you?
Predictive maintenance and I don't see any other issues other than small tweak
A Good Support For Your Big Data
What do you like best about the product?
Ease of use
Lots of recipes for your all kind of work
Lots of recipes for your all kind of work
What do you dislike about the product?
Workload, if user number is high and everybody working a big project, sometimes we got errors but it is not big deal.
What problems is the product solving and how is that benefiting you?
Big data analysis
Consumer insights
Social media insights
Image analytics
Consumer insights
Social media insights
Image analytics
Complete package
What do you like best about the product?
The fact that whole process can be done under one platform
What do you dislike about the product?
Cannot run all the models and validation is bit tricky
What problems is the product solving and how is that benefiting you?
It has automated whole process which would bave taken weeks to done
Good when it works
What do you like best about the product?
Ability to slice and dice data from the interface... it’s web based application used to blast our data to entire org
What do you dislike about the product?
Glorified excel, slow to use and often is not very customizable
What problems is the product solving and how is that benefiting you?
Not very customizable or dynamic...Like the canned reports
Recommendations to others considering the product:
Evaluate the requirements before plunging into this
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