ProjectPro

DECEMBER 17, 2021

So, if you are a professional data scientist or an enthusiast, read this article for a collection of take-home Data Science Challenges and develop better skills by attempting them. Working on take-home data science challenges is equally important for professionals and beginners alike.

Data Science 52

Data Science Medical Machine Learning Datasets 52

ProjectPro

FEBRUARY 28, 2022

In 2001, researchers from Microsoft gave us face detection technology which is still used in many forms. With modern deep learning techniques, we have advanced to detect difficult things like smiles, eyes, and emotions. We will use this to manipulate data. For example, serving a sad customer can be prioritized.

Coding 52

Coding Project Deep Learning Datasets 52

Zalando Engineering

SEPTEMBER 26, 2017

2017] ) papers at world-class machine learning conferences, and the source code ( SGAN and PSGAN ) to reproduce the research is also available on GitHub. State-of-the-art in Machine Learning It’s all over town. Machine learning, and in particular deep learning, is the new black. 2001] Alexei A. Efros et al.

Deep Learning 40

Deep Learning Machine Learning Datasets Algorithm 40

ProjectPro

JANUARY 15, 2021

Undoubtedly, everyone knows that the only best way to learn data science and machine learning is to learn them by doing diverse projects. But yes, there is definitely no other alternative to data science and machine learning projects. Table of Contents What is a dataset in machine learning?

Machine Learning 40

Machine Learning Datasets Retail Banking 40

Zalando Engineering

DECEMBER 14, 2015

Recent advances in deep learning have enabled research and industry to master many challenges in computer vision and natural language processing that were out of reach until just a few years ago. The core idea is to use deep learning to create a fast, efficient estimator for a slow and complex algorithm. 3 (May - Jun.,

Algorithm 40

Algorithm Deep Learning Data Science Architecture 40

ProjectPro

NOVEMBER 8, 2021

With the advancement in artificial intelligence and machine learning and the improvement in deep learning and neural networks, Computer vision algorithms can process massive volumes of visual data. You can use the sklearn.cluster.MeanShift from python sci-kit learn library to implement a mean shift algorithm.

Algorithm 52

Algorithm Medical Datasets Python 52