The average machine learning engineer spends 98% of their time stitching services together. At @abacusai
, we take data from you, train a model, deploy it and give you an endpoint you can use immediately. Less complexity → More time to focus on what truly matters.
@abacusai
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Abacus AI Simplifies ML Deployment with End-to-End Solutions
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Abacus AI Hopes Every Company Becomes AI First in 2023
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In 2023 we hope every company becomes an AI first company Build on @abacusai
’s. our end to end MLOps and AI platform -
Free Machine Learning Courses from Top Universities
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100% FREE machine learning courses from top Colleges: – MIT 6.S191 Introduction to Deep Learning
– DS-GA 1008 Deep Learning
– UC Berkeley Full Stack Deep Learning
– UC Berkeley CS 182 Deep Learning
– Cornell Tech CS 5787 Applied Machine Learning -
Free Harvard Course on Probability for Machine Learning
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"Probabilities" for machine learning. From Harvard.
For Free. You'll learn: • Concepts of probability
• Monte Carlo simulations
• Central Limit Theorem
• and more… https://
edx.org/course/data-sc
ience-probability
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Real-time ML Feature Store: Merge Data Pipelines and Deploy AI Models
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@abacusai
's Real-time ML feature store lets you merge batch and streaming data pipelines, build features in SQL or Python, and create advanced nested and time travel features for your models. You can deploy your AI models at scale with enterprise-class security and governance. -
Free Machine Learning Crash Course from Berkeley ML
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Free machine learning crash course from @BerkeleyML
. Highly recommended for anyone looking to start! https://
ml.berkeley.edu/blog/tag/crash
-course/
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Free Resource on Gradient Descent Optimization Techniques and Variations
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Here is a great resource to understand how Gradient Descent works and learn about many of its variations: https://
ruder.io/optimizing-gra
dient-descent/
… via @seb_ruder And it's completely FREE. -
Abacus AI: Real-Time Machine Learning at Enterprise Scale
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@abacusai makes data wrangling a breeze with advanced features and support for streaming pipelines! Our MLOps platform enables real-time Machine Learning at scale for common enterprise use cases.
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Learning Recommendation Systems with Movie Dataset
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Recommendation systems are one of the most widely used topics of machine learning. Some of your favorite applications use a recommendation system at their core. Here is a great dataset to learn: https://
kaggle.com/rounakbanik/th
e-movies-dataset
… 45,000+ movies. 26M ratings from over 270,000 users. -
30 MLOps Requirements: Abacus AI Simplifies Machine Learning Systems
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Building Machine Learning Systems is hard. Here are 30 requirements for an MLOps environment. At @abacusai we worry about this for you. You bring the data, we do the rest. (Source: "Requirements and Reference Architecture for MLOps: Insights from Industry")