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What are the Commonly Used Machine Learning Algorithms?

Knowledge Hut

There is no end to what can be achieved with the right ML algorithm. Machine Learning is comprised of different types of algorithms, each of which performs a unique task. U sers deploy these algorithms based on the problem statement and complexity of the problem they deal with.

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Deep Learning with Nvidia GPUs in Cloudera Machine Learning

Cloudera

In our previous blog post in this series , we explored the benefits of using GPUs for data science workflows, and demonstrated how to set up sessions in Cloudera Machine Learning (CML) to access NVIDIA GPUs for accelerating Machine Learning Projects. Introduction. In my case, I have selected 4 cores / 8GB RAM and 1 GPU.

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Improving ETAs with Multi-Task Models, Deep Learning, and Probabilistic Forecasts

DoorDash Engineering

This harnesses state-of-the-art deep learning (DL) algorithms through a novel two-layer ML architecture that provides precise ETA predictions from vast, real-world data sets for optimal robustness and generalizability. We plan to publish more blog posts on MT ETA model development.

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Top 10 Deep Learning Algorithms in Machine Learning [2023]

ProjectPro

All thanks to deep learning - the incredibly intimidating area of data science. This new domain of deep learning methods is inspired by the functioning of neural networks in the human brain. Table of Contents Why Deep Learning Algorithms over Traditional Machine Learning Algorithms?

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Natural Language Processing: A Guide to NLP Use Cases, Approaches, and Tools

AltexSoft

But today’s programs, armed with machine learning and deep learning algorithms, go beyond picking the right line in reply, and help with many text and speech processing problems. Machine learning-based NLP — the basic way of doing NLP. The prepared data is then fed to the algorithm for training.

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Best Deep Learning Tools to Master in 2023

Knowledge Hut

We all have witnessed how Deep learning has emerged as one of the most promising domains of artificial intelligence, enabling machines to process, analyze and draw insights from vast amounts of data. And hence, it has become significant to master some of the major deep learning tools to work with this concept better.

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PyTorch Introduction — Training a Computer Vision Algorithm

DareData

In this post, we’ll learn how to train a computer vision model using a convolutional Neural Network in PyTorch PyTorch is currently one of the hottest libraries in the Deep Learning field. For example: We’ve learned the basics about tensors ; We understood how to create our first linear model (regression) using PyTorch.