MACHINE LEARNING

Complete Data Science Roadmap to Follow in 2023

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02 July 2023 16h30

5) Complete the data science roadmap to follow https://
medium.com/@avikumart_/a-
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Crop Yield Prediction Using Machine Learning and Flask

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02 July 2023 16h30

4) Crop yield prediction project https://
medium.com/@avikumart_/cr
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Predicting Road Accident Severity with Machine Learning

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02 July 2023 16h30

2) Road traffic severity project https://
medium.com/@avikumart_/an
-end-to-end-project-to-predict-road-accident-severity-with-code-snippets-78eafabaa1cd?source=user_profile———2—————————-
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Essential Unsupervised Learning Concepts Explained

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02 July 2023 16h30

3) Must know Unsupervised learning concepts https://
medium.com/@avikumart_/mu
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Scaling MLPs: How Inductive Bias Compensates at Scale

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02 July 2023 16h06

10/ Scaling MLPs: A Tale of Inductive Bias – shows that the performance of MLPs improves with scale and highlights that lack of inductive bias can be compensated.

Self-Retrieval Architecture for Long-Range Language Modeling

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02 July 2023 16h06

9/ Long-range Language Modeling with Self-Retrieval – an architecture and training procedure for jointly training a retrieval-augmented language model from scratch for long-range language modeling tasks.

Theory-of-Mind Evaluation Framework for Large Language Models

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02 July 2023 16h06

7/ Understanding Theory-of-Mind in LLMs with LLMs – a framework for procedurally generating evaluations with LLMs; proposes a benchmark to study the social reasoning capabilities of LLMs with LLMs.

DragDiffusion: Precise Spatial Control in Diffusion-Based Image Editing

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02 July 2023 16h06

6/ DragDiffusion – extends interactive point-based image editing using diffusion models; it optimizes the diffusion latent to achieve precise spatial control and complete high-quality editing efficiently.

Computer Vision Through Natural Language: LLM-Based Modular Approach

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02 July 2023 16h06

3/ Computer Vision Through the Lens of Natural Language – a modular approach for solving computer vision problems by leveraging LLMs; the LLM is used to reason over outputs from independent and descriptive modules that provide information about an image.