Software Alternatives & Reviews

Data Science toolset summary from 2021

Azure Machine Learning Studio Scikit-learn RapidMiner PyTorch Keras Hugging Face Cloud Firestore Databricks Google Cloud Machine Learning Google Cloud Storage
  1. Azure Machine Learning Studio is a GUI-based integrated development environment for constructing and operationalizing Machine Learning workflow on Azure.

    #Machine Learning #AI #Data Science And Machine Learning 2 social mentions

  2. scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
    Pricing:
    • Open Source
    Scikit-learn - It is one of the most widely used frameworks for Python based Data science tasks. It features various classification, regression and clustering algorithms including support vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy. Link - https://scikit-learn.org/.

    #Data Science And Machine Learning #Data Science Tools #Python Tools 27 social mentions

  3. RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.
    Rapidminer - RapidMiner is a data science software platform developed by the company of the same name that provides an integrated environment for data preparation, machine learning, deep learning, text mining, and predictive analytics. Link - https://rapidminer.com/.

    #Data Science And Machine Learning #Data Science Tools #Python Tools 3 social mentions

  4. Open source deep learning platform that provides a seamless path from research prototyping to...
    Pricing:
    • Open Source
    PyTorch - PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing, primarily developed by Facebook's AI Research lab. It is free and open-source software released under the Modified BSD license. Link - https://pytorch.org/.

    #Data Science And Machine Learning #Data Science Tools #AI 105 social mentions

  5. 5
    Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
    Pricing:
    • Open Source
    Keras - Keras is an open-source software library that provides a Python interface for artificial neural networks. Keras acts as an interface for the TensorFlow library. Link - https://keras.io/.

    #Data Science And Machine Learning #Data Science Tools #OCR 30 social mentions

  6. The Tamagotchi powered by Artificial Intelligence 🤗
    Huggingface - It is open source library for building transformer based language models. It is used in the field of Natural Language Processing. Large language models like BERT, GPT, etc. Are implemented using this library. Link - https://huggingface.co/.

    #Social & Communications #AI #Chatbots 252 social mentions

  7. Use our flexible, scalable NoSQL cloud database to store and sync data for client- and server-side development.

    #NoSQL Databases #Databases #Developer Tools 43 social mentions

  8. Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?
    Pricing:
    Databricks - Databricks is an enterprise software company founded by the creators of Apache Spark. The company has also created Delta Lake, MLflow and Koalas, open source projects that span data engineering, data science and machine learning. Link - https://databricks.com/.

    #Data Science #Data Dashboard #Database Tools 17 social mentions

  9. Google Cloud Machine Learning is a service that enables user to easily build machine learning models, that work on any type of data, of any size.
    Pricing:
    • Open Source
    Google Cloud Vertex AI - Vertex AI brings together the Google Cloud services for building ML under one, unified UI and API. In Vertex AI, you can now easily train and compare models using AutoML or custom code training and all your models are stored in one central model repository. These models can now be deployed to the same endpoints on Vertex AI. Link - https://cloud.google.com/vertex-ai.

    #Data Science And Machine Learning #Data Science Tools #Python Tools 21 social mentions

  10. Google Cloud Storage offers developers and IT organizations durable and highly available object storage.
    Google Cloud Storage - https://cloud.google.com/storage.

    #Cloud Storage #Cloud Computing #Object Storage 36 social mentions

  11. Google Cloud SQL is a fully-managed database service that makes it easy to set-up, maintain, manage and administer your MySQL database.

    #Databases #Relational Databases #Tool 15 social mentions

  12. Google Cloud Spanner is a horizontally scalable, globally consistent, relational database service.
    Pricing:
    • Open Source

    #Databases #Relational Databases #Tool 17 social mentions

  13. A high performance NoSQL database service for large analytical and operational workloads.

    #Databases #NoSQL Databases #Key-Value Database 6 social mentions

  14. Train custom ML models with minimum effort and expertise

    #Data Science And Machine Learning #Technical Computing #Data Science Tools 6 social mentions

  15. CatBoost - state-of-the-art open-source gradient boosting library with categorical features support, https://catboost.yandex/ #catboost
    Pricing:
    • Open Source
    Catboost - CatBoost is an open-source software library developed by Yandex. It provides a gradient boosting framework which attempts to solve for Categorical features using a permutation driven alternative compared to the classical algorithm. Link - https://catboost.ai/.

    #Data Science And Machine Learning #Data Science Tools #Machine Learning 4 social mentions

  16. Azure SQL Database lets you create, extend and scale relational applications into the cloud.

    #Databases #Relational Databases #NoSQL Databases 2 social mentions

  17. Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.
    Amazon Sagemaker - Amazon SageMaker is a cloud machine-learning platform that was launched in November 2017. SageMaker enables developers to create, train, and deploy machine-learning models in the cloud. SageMaker also enables developers to deploy ML models on embedded systems and edge-devices Link - https://aws.amazon.com/sagemaker/.

    #Data Science And Machine Learning #Data Science Tools #Machine Learning 35 social mentions

  18. Amazon S3 is an object storage where users can store data from their business on a safe, cloud-based platform. Amazon S3 operates in 54 availability zones within 18 graphic regions and 1 local region.
    Amazon Simple Storage Service - https://aws.amazon.com/s3/.

    #Cloud Hosting #Object Storage #Cloud Storage 170 social mentions

  19. Learn about Amazon Redshift cloud data warehouse.

    #Big Data #Databases #Relational Databases 26 social mentions

  20. MySQL and PostgreSQL-compatible relational database built for the cloud. Performance and availability of commercial-grade databases at 1/10th the cost.

    #Databases #Relational Databases #Tool 20 social mentions

  21. Amazon Elastic File System is a cloud-native and serverless data store that provides simple saleable elastic shared file storage for Linux-based business applications.

    #File Management #Work Collaboration #Project Management 22 social mentions

  22. Amazon DynamoDB is a fast and flexible NoSQL database service for all applications that need consistent, single-digit millisecond latency at any scale. It is a fully managed cloud database and supports both document and key-value store models.

    #Databases #NoSQL Databases #Relational Databases 101 social mentions

Discuss: Data Science toolset summary from 2021

Log in or Post with