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Katonic MLOps Platform | Katonic
Katonic MLOps Platform combines the creative scientific process of data scientists with the professional software engineering process to build and deploy Machine Learning Models into production safely, quickly, and in a sustainable way.
Predictive Analytics Using Your Data | Plat.AI
Our data scientists are ready to build, deploy, and maintain a real-time decision-making process using machine learning algorithms and the data you already have.
Industry-Leading AI Monitoring Solution | Mona
Mona is the leading AI & machine learning monitoring tool for production systems, enabling data scientist and engineering teams with actionable insights.
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Clarifai Computer Vision, NLP & Machine Learning Platform
Clarifai is the leading Machine Learning, Computer Vision & NLP Platform. Label, train, deploy models on one AI platform for developers & data scientists.
Synx - About
We automate Data Science most time consuming processes, allowing Data Engineers and Data Scientists to train, deploy and run models at scale with low friction.
Daniel Morales - Data Scientist & Machine Learning Engineer
Data Scientist & Machine Learning Engineer
Paul Hendricks
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Raghava Dhanya
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👋 Welcome! | categitau
Catherine Gitau is an Applied Data Scientist based in Nairobi, Kenya that works on building data and machine learning models to improve businesses. She’s currently interested in getting into machine learning engineering so that she can be able to build machine learning systems to benefit customers at scale. She’s keen on writing technical blog posts to teach and at the same time learn.
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Pretrained.ai — Hosted, Managed Pretrained Machine Learning Model APIs
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David Adrián Cañones
🔬 Data Scientist | 🤖 Machine Learning Engineer | 💹 MBA
Jobs in AI - Apply to over jobs
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Algorithmia - Deploy AI at Scale
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Algorithms - Algorithmia
Algorithmia provides the fastest time to value for enterprise machine learning. Rapidly deploy, serve, and manage machine learning models at scale. Machine learning, managed.
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Dylan Castillo — Data Scientist. Python Developer. Technical Writer.
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Kevin Lane · Data Scientist
Welcome to Kevin Lane's homepage. I am a data scientist, machine learning engineer, and software developer with a background in aerospace engineering.
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Gradient Group
Gradient Group We Help DS/ML Teams Build, Test, Deploy, & Scale Enterprise Machine Learning Solutions Is your organization past the POC/pilot stage in AI adoption and working on scaling machine learning solutions? Do you have dozens - perhaps hundreds - of ML models developed by data scientists, but not enough integrated into production applications and…
Frédérick Giasson
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Praateek Mahajan | Machine Learning Engineer
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Data Scientist - Machine Learning
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JADBio Automated Machine Learning Platform - AutoML
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Developer-Friendly Machine Learning - Telepath
Machine Learning platform for developers, not data scientists. Build predictive models without any previous AI experience.
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TAZI - Continuous Automated Machine Learning Platform
TAZI's Automated Machine Learning is understandable continuous machine learning from data and humans, enables business domain experts to use machine learning.
AI & Machine Learning Consultants Company | AI Consulting Group
AI Consulting Group Using Data, AI, ML, IoT, Predictive Analytics & Advanced Insights with an ROI-First mindset, to Optimise Business Success Click below to request a resource to start immediately (usually within 24 hours) Deploy Data & AI Consultants Today Data Platform Architects, Business Intelligence Developers, IoT Specialists, Data Engineers, Data Scientists, Databricks Engineers, Databricks […]
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Michael Natenzon | Introduction
Michael is a Johns Hopkins University educated Data Scientist, Engineer, and MBA with experience in Python, R, Machine Learning, and Data Analytics.
A cloud-native toolkit for full-stack data science projects
STACKn offers a resourceful and agile approach to develop, operate and deploy machine learning models and enables individuals and organisations to quickly get started with machine learning and AI practices through our open source end to end solution.
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Pallavi Kulkarni | Writer, Data Scientist, Machine Learning
Writer, Data Scientist, Machine Learning
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CSSR | Redemptorists Province of Bangalore
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Computer Science Hub
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Marc Reyes — Software Engineer
I'm Marc Reyes, a Sofware Engineer based in Metro Manila. I build large-scale and complex systems for Machine Learning models in production. Currently working as a Machine Learning Engineer. Think of my job as an intersection of Data Science, Software Engineering, and DevOps.
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Distributed Deep Learning and Hyperparameter Tuning Platform | Determined AI
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Silverpond – Harnessing AI technology
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Looking to hire a Data Scientist? HopHR is a staffing and recruiting company, connecting top Data Scientists, Machine Learning Engineers, Analytics, Big Data, and AI talent with the right job opportunities. Sign up today!
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IntelsenseAI | Sense The Future
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The First Data Prep Ops Platform for Production-Ready AI - Alectio
Alectio is the first full-stack, end-to-end, ML-driven Data Prep Ops platform for production-ready AI, enabling ML teams to prepare, curate, annotate, manage, version, and visualize their training data. Alectio is able to identify the most useful data for your models, helping increase model performance and reduce model training cost and time.
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fal (Features & Labels) - ML Data Pipelines as a Service
fal (Features & Labels) is your complete data infrastructure solution for designing, iterating and deploying real-time machine learning data pipelines. Try now!
Pr. Germain Forestier
Personal page of Germain Forestier, Professor in Computer Science and Data Scientist working on data science, data mining, time series, machine learning, big data, artificial intelligence, deep learning.
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The First 2 Hours: Make Better use of Your Most Valuable Time
The First 2 Hours Book. Make better use of your most valuable time.
Confetti AI | Ace Your Machine Learning Interviews
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Factil: Solutions for information modeling & data integration
Factil are experts in data modeling and integrating datasets using conventional and machine learning techniques
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Tangram
Tangram makes it easy for programmers to train, deploy, and monitor machine learning models.
Shannon Phu
I am a Data and Applied Scientist at Microsoft working on the Applied Machine Learning team within Commercial Software Engineering where I develop applied machine learning solutions for Microsoft's top customers. I have strong experience in both software engineering and data science. I graduated 2018 from UCLA with a BS in Computer Science and Engineering and 2021 from San Jose State University with a MS concentration in machine learning.
Syntheticus
Syntheticus.ai, share data without sharing data. Create synthetic data using cutting edge machine learning models.
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Homepage of Ingolf Waßmann, Computer Scientist & Engineer, Machine Learning Enthusiast.
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Chip Huyen
Chip Huyen is a writer and computer scientist. She works to bring the best engineering practices to machine learning research and production. She writes abou...
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Devansh is a Data Scientist and works at Amazon. He makes Alexa smarter, faster, better by using state of the art Machine Learning techniques.
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Using machine learning to enable financial freedom
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Eskimi - AdTech platform that adds a +1 to your marketing team
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Scenic West Designs
Scenic West Designs provides Product Design and Product Management to bring your next big idea to life.
