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ML Engineering is Not What You Think — ML Jobs Explained

Towards AI

How much machine learning really is in ML Engineering? But what actually are the differences between a Data Engineer, Data Scientist, ML Engineer, Research Engineer, Research Scientist, or an Applied Scientist?! The extracted and transformed… Read the full blog for free on Medium.

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We employed ChatGPT as an ML Engineer. This is what we learned

Towards AI

AI being in the limelight has spawned a deluge of thought pieces, articles, videos, blog posts, and podcasts. A sensible proxy sub-question might then be: Can ChatGPT function as a competent machine learning engineer? ChatGPT’s job as our ML engineer […]

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3 Ways to Learn Data Science and Get a Job in 2024

Towards AI

I mean, ML engineers often spend most of their time handling and understanding data. So, how is a data scientist different from an ML engineer? Well, there are three main reasons for this confusing overlap between the role of a data scientist and the role of an ML engineer. What is data science???

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Direct Preference Optimization, Intuitively Explained

Towards AI

Here’s what this article contains: The Limitations of RLHF — Reinforcement Learning with Human FeedbackThe DPO Architecture & Why It’s So UsefulA 5-Step Guide to Building Your DPO LLMCurrent State of LLM Development Who is this blog post useful for? ML Engineers(LLM), Tech Enthusiasts, VCs, etc. How advanced is this post?

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Machine Learning Engineer Salary in India

Pickl AI

Significantly, Machine Learning Engineers are becoming highly in demand in the market with lucrative salaries. The following blog post will evaluate Machine Learning Engineer Salary in India along with the roles and responsibilities and skills required. Accordingly, an entry-level ML engineer will earn around 5.1

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MLOps and the evolution of data science

IBM Journey to AI blog

How to use ML to automate the refining process into a cyclical ML process. Initiate updates and optimization—Here, ML engineers will begin “retraining” the ML model method by updating how the decision process comes to the final decision, aiming to get closer to the ideal outcome.

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Driving advanced analytics outcomes at scale using Amazon SageMaker powered PwC’s Machine Learning Ops Accelerator

AWS Machine Learning Blog

Artificial intelligence (AI) and machine learning (ML) are becoming an integral part of systems and processes, enabling decisions in real time, thereby driving top and bottom-line improvements across organizations. However, putting an ML model into production at scale is challenging and requires a set of best practices.