Becoming a ML/DL researcher

This page summarizes the projects mentioned and recommended in the original post on /r/learnmachinelearning

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
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SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
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  • ABigSurvey

    A collection of 1000+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML).

  • Find out a couple of survey papers (e.g., https://github.com/NiuTrans/ABigSurvey) and start reading them. Don't go into the details at first. Develop a broader picture - what is important, why is it important, is it worth applying ML to that topic, and most importantly if given that problem how would you approach it.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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