Best AI tools for< Data Scientists >

The Association of Data Scientists (ADaSci) is a global professional body of AI professionals that accredits and elevates professionals with recognized certifications and transformative corporate training. They offer memberships for individuals and corporations interested in the AI field, as well as accreditations like Chartered Data Scientist (CDS) and Certified Generative AI Engineer. The organization provides continuous learning opportunities through courses and corporate training programs on topics such as generative AI and knowledge graph solutions. ADaSci aims to shape the future of AI talent by advancing expertise and achieving global recognition as certified professionals.

Generative Aid Data Scientist is an AI tool designed to assist data scientists in generating insights and analysis from complex datasets. It utilizes advanced algorithms and machine learning techniques to provide valuable recommendations and predictions for data-driven decision-making. The tool offers a user-friendly interface that allows data scientists to input their data and receive actionable results in a timely manner. With its powerful capabilities, Generative Aid Data Scientist streamlines the data analysis process and enhances the efficiency of data-driven projects.

Humbi AI is an AI-powered platform offering actuarial services for healthcare organizations, health plans, provider organizations, and drug manufacturers. The platform combines data science and actuarial expertise to provide competitive intelligence analytics, helping clients identify opportunities and manage risks effectively. Humbi AI offers a range of services from data management to actuarial design, incorporating knowledge from various fields such as medical science and technology. The platform includes tools for Medicare Advantage strategy building, provider performance comparison, pharmacy management, and access to medical and pharmacy data for millions of members.

Domino Data Lab is an enterprise AI platform that enables data scientists and IT leaders to build, deploy, and manage AI models at scale. It provides a unified platform for accessing data, tools, compute, models, and projects across any environment. Domino also fosters collaboration, establishes best practices, and tracks models in production to accelerate and scale AI while ensuring governance and reducing costs.

Compact Data Science is a data science platform that provides a comprehensive set of tools and resources for data scientists and analysts. The platform includes a variety of features such as data preparation, data visualization, machine learning, and predictive analytics. Compact Data Science is designed to be easy to use and accessible to users of all skill levels.

Towards Data Science is a Medium publication dedicated to sharing concepts, ideas, and codes in the field of data science. It provides a platform for data scientists, researchers, and practitioners to connect, learn, and contribute to the advancement of the field.

DVC Studio is a collaboration tool for machine learning teams. It provides seamless data and model management, experiment tracking, visualization, and automation. DVC Studio is built for ML researchers, practitioners, and managers. It enables model organization and discovery across all ML projects and manages model lifecycle with Git, unifying ML projects with the best DevOps practices. DVC Studio also provides ML experiment tracking, visualization, collaboration, and automation using Git. It applies software engineering and DevOps best-practices to automate ML bookkeeping and model training, enabling easy collaboration and faster iterations.

CodeSquire is an AI-powered code writing assistant that helps data scientists, engineers, and analysts write code faster and more efficiently. It provides code completions and suggestions as you type, and can even generate entire functions and SQL queries. CodeSquire is available as a Chrome extension and works with Google Colab, BigQuery, and JupyterLab.

The OR Society is a professional membership body that supports the development of people working in operational research, data science, and analytics. The society provides a range of services to its members, including access to world-class journals, events and conferences, training courses, and pro bono opportunities. The OR Society also works to promote the use of operational research in all areas of industry, business, government, the community, and the third sector.

Kin + Carta is a global digital transformation consultancy that helps organizations embrace digital change through data, cloud, and experience design. The company's services include data and AI, cloud and platforms, experience and product design, managed services, and strategy and innovation. Kin + Carta has a team of over 2000 experts who work with clients in a variety of industries, including automotive, financial services, healthcare, and retail.

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InstantAPI.ai is an AI-powered web scraping tool that allows developers, data scientists, and SEO specialists to instantly turn any web page into a personalized API. With the ability to effortlessly scrape, customize, and integrate data, users can enhance their projects, drive insights, and optimize performance. The tool offers features such as scraping precise data, transforming information into various formats, generating new content, providing advanced analysis, and extracting valuable insights from data. Users can tailor the output to meet specific needs and unleash creativity by using AI for unique purposes. InstantAPI.ai simplifies the process of web scraping and data manipulation, offering a seamless experience for users seeking to leverage AI technology for their projects.

Evidently AI is an open-source machine learning (ML) monitoring and observability platform that helps data scientists and ML engineers evaluate, test, and monitor ML models from validation to production. It provides a centralized hub for ML in production, including data quality monitoring, data drift monitoring, ML model performance monitoring, and NLP and LLM monitoring. Evidently AI's features include customizable reports, structured checks for data and models, and a Python library for ML monitoring. It is designed to be easy to use, with a simple setup process and a user-friendly interface. Evidently AI is used by over 2,500 data scientists and ML engineers worldwide, and it has been featured in publications such as Forbes, VentureBeat, and TechCrunch.

Numerai is a data science tournament platform where users can compete to build models that predict the stock market. The platform provides users with clean and regularized hedge fund quality data, and users can build models using Python or R scripts. Numerai also has a cryptocurrency, NMR, which users can stake on their models to earn rewards.

BluePond GenAI PaaS is an automation and insights powerhouse tailored for Property and Casualty Insurance. It offers end-to-end execution support from GenAI data scientists, engineers & human-in-the-loop processing. The platform provides automated intake extraction, classification enrichment, validation, complex document analysis, workflow automation, and decisioning. Users benefit from rapid deployment, complete control of data & IP, and pre-trained P&C domain library. BluePond GenAI PaaS aims to energize and expedite GenAI initiatives throughout the insurance value chain.

Streamlit is a web application framework that allows data scientists and machine learning engineers to create interactive web applications quickly and easily. It simplifies the process of building and sharing data-focused applications by providing a simple Python script that can be turned into a shareable web app with just a few lines of code. With Streamlit, users can create interactive visualizations, dashboards, and machine learning models without the need for web development expertise.

Coginiti is a collaborative analytics platform and tools designed for SQL developers, data scientists, engineers, and analysts. It offers capabilities such as AI assistant, data mesh, database & object store support, powerful query & analysis, and share & reuse curated assets. Coginiti empowers teams and organizations to manage collaborative practices, data efficiency, and deliver trusted data products faster. The platform integrates modular analytic development, collaborative versioned teamwork, and a data quality framework to enhance productivity and ensure data reliability. Coginiti also provides an AI-enabled virtual analytics advisor to boost team efficiency and empower data heroes.

Streamlit is a web application framework that allows users to create interactive web applications effortlessly using Python. It enables data scientists and developers to build and deploy data-driven applications quickly and easily. With Streamlit, users can create interactive visualizations, dashboards, and machine learning models without the need for extensive web development knowledge. The platform provides a simple and intuitive way to turn data scripts into shareable web apps, making it ideal for prototyping, showcasing projects, and sharing insights with others.

DVC is an open-source platform for managing machine learning data and experiments. It provides a unified interface for working with data from various sources, including local files, cloud storage, and databases. DVC also includes tools for versioning data and experiments, tracking metrics, and automating compute resources. DVC is designed to make it easy for data scientists and machine learning engineers to collaborate on projects and share their work with others.

Tredence is a data science and AI services company that provides end-to-end solutions for businesses across various industries. The company's services include data engineering, data analytics, AI consulting, and machine learning operations (MLOps). Tredence has a team of experienced data scientists and engineers who use their expertise to help businesses solve complex data challenges and achieve their business goals.

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