CisMine Ng – Medium

CisMine Ng

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Level Up Coding

TPOT AutoML and cuDF

This is a complete pipeline for developing a Machine Learning model. In this article, we will focus on the tasks within the red box…

Feb 21

TPOT AutoML and cuDF

Feb 21

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Published in
Level Up Coding

Compute Bound & Memory Bound

In any program, we need to do 2 things:

Jan 7

Compute Bound & Memory Bound

Jan 7

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AI Advances

Memory Types in GPU

Aug 28, 2023

Memory Types in GPU

Aug 28, 2023

cuML for Machine Learning

Feb 17

cuML for Machine Learning

Feb 17

What is Fine-tuning & Transfer-learning? Which one should we use?

Fine-tuning and Transfer-learning are widely used terms in deep learning. While both aim to adapt models to predict on custom datasets…

Feb 3

What is Fine-tuning & Transfer-learning? Which one should we use?

Feb 3

Data analyst and Data processing in a single line

When tackling a Machine Learning problem, the first essential steps are data analysis and data processing. In this article, I will guide…

Sep 19, 2024

Data analyst and Data processing in a single line

Sep 19, 2024

RAPIDS in handle data

In chapter 01, we mentioned using RAPIDS for processing and analyzing data with a GPU. In this article, I will guide you on how to use it.

Sep 17, 2024

RAPIDS in handle data

Sep 17, 2024

RAPIDS in GPU

Nowadays, the increasing amount of data has made ETL (Extract, Transform, Load), also known as data analysis and processing, more complex…

Sep 14, 2024

RAPIDS in GPU

Sep 14, 2024

GPU in AI

Nowadays, with the rapid development of AI, the demand for its use is increasing, leading to a growing abundance of data and a wider…

Aug 31, 2024

GPU in AI

Aug 31, 2024

Bandwidth — Throughput — Latency

When evaluating a piece of code or a program, three important concepts need to be considered: bandwidth, throughput, and latency. However…

Jun 27, 2024

Bandwidth — Throughput — Latency

Jun 27, 2024

CisMine Ng

CisMine Ng

My name is CisMine Ng. I am currently pursuing a B.Sc. degree. I am interested in the following topics: DL in Computer Vision, Parallel Programming With Cuda.

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