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Microsoft Azure Recommendations VS machine-learning in Python

Compare Microsoft Azure Recommendations VS machine-learning in Python and see what are their differences

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Microsoft Azure Recommendations logo Microsoft Azure Recommendations

Predict what your customers want and increase catalog discoverability

machine-learning in Python logo machine-learning in Python

Do you want to do machine learning using Python, but you’re having trouble getting started? In this post, you will complete your first machine learning project using Python.
  • Microsoft Azure Recommendations Landing page
    Landing page //
    2021-07-26
  • machine-learning in Python Landing page
    Landing page //
    2020-01-13

Category Popularity

0-100% (relative to Microsoft Azure Recommendations and machine-learning in Python)

Microsoft Azure Recommendations

machine-learning in Python

eCommerce
100 100%
eCommerce
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Utilities
100 100%
Utilities
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

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Social recommendations and mentions

Based on our record, machine-learning in Python seems to be more popular. It has been mentiond 7 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Microsoft Azure Recommendations mentions (0)

We have not tracked any mentions of Microsoft Azure Recommendations yet. Tracking of Microsoft Azure Recommendations recommendations started around Mar 2021.

machine-learning in Python mentions (7)

  • Data science and cybersecurity with python project
    After that you should probably look at some very basic ML tutorials. I just googled it, I have no idea if this is good https://machinelearningmastery.com/machine-learning-in-python-step-by-step/. Source: about 1 year ago
  • Ask HN: How can I learn ML in 6 months as a teenager?
    Few different approaches based on search engine 'ml with python': Work though use cases / examples : https://www.databricks.com/resources/ebook/big-book-of-machine-learning-use-cases On-line class(es) / step by step projects: * https://bootcamp-sl.discover.online.purdue.edu/ai-machine-learning-certification-course * https://www.w3schools.com/python/python_ml_getting_started.asp *... - Source: Hacker News / over 1 year ago
  • Are these CS courses enough CS knowledge for ML engineer?
    MLE: ALL OF THE ABOVE (this is important - pure machine learning skills generally won’t make you hireable unless you’re doing a PhD and/or are a genius) Plus: 1. https://machinelearningmastery.com/machine-learning-in-python-step-by-step/ 2. https://www.coursera.org/learn/machine-learning 3. https://www.3blue1brown.com/topics/neural-networks. Source: about 2 years ago
  • how to do i train an AI
    Have you seen this? https://machinelearningmastery.com/machine-learning-in-python-step-by-step/. Source: over 2 years ago
  • Python Data Science Project Ideas (+References)
    Machine learning models Fine-tune existing machine learning models for improved accuracy, or create your own custom models. - Source: dev.to / over 2 years ago
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What are some alternatives?

When comparing Microsoft Azure Recommendations and machine-learning in Python, you can also consider the following products

RecoMind.io - Personalized recommendations at scale

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Wylei - Wylei, a pioneer in Predictive AI cloud-based machine learning and marketing automation, creates & delivers real-time, personalized content.

BigML - BigML's goal is to create a machine learning service extremely easy to use and seamless to integrate.

Recombee - Recommender system as a service that uses advanced Machine Learning and Artificial Intelligence algorithms. Easy to try and evaluate.

Google Cloud TPU - Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.

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