KDnuggets

MARCH 17, 2022

In this short blog, we’ll review the process of taking a POC data science pipeline (ML/Deep learning/NLP) that was conducted on Google Colab, and transforming it into a pipeline that can run parallel at scale and works with Git so the team can collaborate on.

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Deep Learning Data Science Process IT 144

Knowledge Hut

JUNE 16, 2023

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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Deep Learning BI Machine Learning Data Science 52

ArcGIS

MAY 16, 2024

This blog post will walk you through the process of running multi resolution deep learning over a range of cell sizes.

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Deep Learning Process 106

ArcGIS

DECEMBER 12, 2023

In this Part-1 of a two-part blog series, we will share tips for labeling objects on images for object detection deep learning models.

Deep Learning 117

Deep Learning 117

Knowledge Hut

OCTOBER 30, 2023

In recent years, the field of deep learning has gained immense popularity and has become a crucial subset of artificial intelligence. Data Science aspirants should learn Deep Learning after taking a Data Science certificate online , which would enhance their skillset and create more opportunities for them.

Deep Learning 52

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ProjectPro

JANUARY 18, 2022

Perhaps the unwavering emergence of Deep Learning Applications on each passing day is the prove, maybe, we're already lodging in – into an advanced world. According to Markets and Markets, the deep learning application market was worth USD 2.28 billion in 2017 and is anticipated to be worth USD 18.16 And many more.

Deep Learning 52

Deep Learning Healthcare Machine Learning Entertainment 52

Cloudera

DECEMBER 4, 2024

Users can deploy trained models, including GenAI models or predictive deep learning models, directly to the Cloudera AI Inference service. The post Cloudera AI Inference Service Enables Easy Integration and Deployment of GenAI Into Your Production Environments appeared first on Cloudera Blog.

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Architecture Machine Learning BI Deep Learning 73

KDnuggets

SEPTEMBER 5, 2019

This blog summarizes the career advice/reading research papers lecture in the CS230 Deep learning course by Stanford University on YouTube, and includes advice from Andrew Ng on how to read research papers.

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Machine Learning Deep Learning Building 123

KDnuggets

NOVEMBER 21, 2019

This blog shows how text data representations can be used to build a classifier to predict a developer’s deep learning framework of choice based on the code that they wrote, via examples of TensorFlow and PyTorch projects.

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Process Deep Learning Data Coding 108

Cloudera

NOVEMBER 3, 2021

Thanks to pioneers like Andrew NG and Fei-Fei Li, GPUs have made headlines for performing particularly well with deep learning techniques. Today, deep learning and GPUs are practically synonymous. While deep learning is an excellent use of the processing power of a graphics card, it is not the only use.

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Deep Learning Data Science Machine Learning Python 117

AltexSoft

AUGUST 25, 2021

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. That’s why a lot of research in NLP is currently concerned with a more advanced ML approach — deep learning. Word embeddings.

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Process Deep Learning Datasets Machine Learning 139

Edureka

MARCH 19, 2025

In this blog, we are going to see what latent variable models are, why they are important, the different types of latent variables, and how they are applied in various machine learning techniques. Latent Variables in Deep Learning Deep learning models use latent spaces to describe abstract data.

Deep Learning 40

Deep Learning Machine Learning Raw Data Coding 40

Snowflake

NOVEMBER 11, 2024

To learn more about these new features and related updates check out our Cortex Analyst blog post. This accelerated compute significantly improves how quickly teams can iterate and deploy models, especially when working with large data sets or using advanced deep learning frameworks such as PyTorch.

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Unstructured Data SQL AWS Healthcare 91

ProjectPro

JULY 9, 2021

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?

Deep Learning 40

Deep Learning Algorithm Machine Learning Datasets 40

ProjectPro

APRIL 12, 2021

Deep learning job interviews. Most beginners in the industry break out in a cold sweat at the mere thought of a machine learning or a deep learning job interview. How do I prepare for my upcoming deep learning job interview? What kind of deep learning interview questions they are going to ask me?

Deep Learning 40

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Knowledge Hut

APRIL 26, 2024

can help users to get started with Machine Learning. Open Dataset Finders To solve any problem in data science, be it in the field of Machine Learning, Deep Learning, or Artificial Intelligence , one needs a dataset that can be input into the model to derive insights. The datasets for Deep Learning are as follows.

Machine Learning 98

Machine Learning Datasets Deep Learning Finance 98

Cloudera

MAY 19, 2021

In the previous blog post in this series, we walked through the steps for leveraging Deep Learning in your Cloudera Machine Learning (CML) projects. The post NVIDIA RAPIDS in Cloudera Machine Learning appeared first on Cloudera Blog. Introduction. Register Now. .

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Machine Learning Data Science Datasets Raw Data 137

Pinterest Engineering

SEPTEMBER 5, 2023

In 2021, ML was siloed at Pinterest with 10+ different ML frameworks relying on different deep learning frameworks, framework versions, and boilerplate logic to connect with our ML platform. The nuances of the underlying deep learning framework needs to be considered in order to build a high-performance ML system.

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Engineering Deep Learning Architecture Project 105

Edureka

FEBRUARY 8, 2023

In this blog we will get to know about the perks of ChatGPT for coding. This blog will help you learn how this effective tool can help you write code with ease, and we will also cover topics like: What is ChatGPT? That concludes our blog on ChatGPT for coding.

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Coding Deep Learning Programming Java 130

Cloudera

JULY 27, 2021

Streamlit allows us to rapidly build interfaces to our models, and is the end point of several of our AMPs: We can prototype user facing applications, suitable for internal tools, as in Deep Learning for Question Answering. The post Enterprise Data Science Workflows with AMPs and Streamlit appeared first on Cloudera Blog.

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Christophe Blefari

MARCH 17, 2023

A few other news: LinkedIn team also wrote a blog about AI principles stating that AI is like oxygen for the engineering team—I personally would have say that data was oxygen, but who cares—and that with great power comes great responsibility. This blog shows how you can automate it with a CI and definitions in exposures.

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Data SQL Deep Learning Kafka 130

databricks

APRIL 20, 2023

Background and Motives Deep Learning algorithms are complex and time consuming to train, but are quickly moving from the lab to production because.

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Deep Learning Algorithm Data Science Engineering 116

Snowflake

AUGUST 1, 2024

Interested in learning more about why we created Snowpark Container Services? Check out this blog. And with such widespread adoption of the feature, we’re excited to announce that we’ve lowered costs by 50% across all instance types! First, security.

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Deep Learning Government AWS Architecture 115

Confluent

FEBRUARY 6, 2019

Uber expanded Michelangelo “to serve any kind of Python model from any source to support other Machine Learning and Deep Learning frameworks like PyTorch and TensorFlow [instead of just using Spark for everything].”. Therefore, the majority of machine learning/deep learning frameworks focus on Python APIs.

Machine Learning 107

Machine Learning Python Kafka Java 107

Cloudera

FEBRUARY 1, 2022

In this blog we’ll dig into how the Deep Learning for Image Analysis AMP can be reused to find snowflakes that are less similar to one another. According to its description, Deep Learning for Image Analysis is an AMP that “demonstrates how to build a scalable semantic search solution on a dataset of images.”

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Deep Learning Datasets Coding Machine Learning 111

Edureka

MARCH 26, 2025

In this blog, we’ll look at how DeepBrain AI is altering industries, increasing creativity, and opening up new possibilities in human-machine connection. Cleansing and cleaning this data makes sure that it can be used to train machine learning models. Let’s plunge in!

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Education Media Deep Learning Machine Learning 45

Edureka

MARCH 27, 2025

Hugging Face is an AI company and open-source platform designed to provide tools and libraries along with pre-trained models for Natural Language Processing (NLP) and Machine Learning (ML). This comprehensive program covers AI, Deep Learning, and Machine Learning with real-world applications.

Deep Learning 40

Deep Learning Datasets Machine Learning BI 40

Knowledge Hut

APRIL 26, 2024

Generally, these algorithms fall under the category of Deep Learning, which is a core field in Machine Learning. The ANN also has a little significance in Machine Learning as it can deal with solving the problems related to C lassification and Regression.

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Machine Learning Algorithm Deep Learning Programming Language 98

Edureka

MARCH 26, 2025

Long Short-Term Memory Networks (LSTM) use artificial neural networks (ANNs) in the domains of deep learning and artificial intelligence (AI). Deep learning extensively uses the recurrent neural network (RNN) architecture known as LSTM (Long Short-Term Memory). What is LSTM? You now understand what LSTM is.

Deep Learning 40

Deep Learning Architecture Healthcare Data 40

Cloudera

SEPTEMBER 20, 2022

This blog is intended to serve as an ethics sheet for the task of AI-assisted comic book art generation, inspired by “ Ethics Sheets for AI Tasks.” AI-assisted comic book art generation is a task I proposed in a blog post I authored on behalf of my employer, Cloudera. Introduction. Access — who can use it?

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Deep Learning High Quality Data Telecommunication Systems 88

Cloudera

FEBRUARY 11, 2022

Advances in the development and application of Machine Learning (ML) and Deep Learning (DL) algorithms, require greater care to ensure that the ethics embedded in previous rule-based systems are not lost. This blog post hopes to provide this foundational understanding. What is Machine Learning.

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Machine Learning Algorithm Data Science Government 97

Cloudera

AUGUST 20, 2020

UOB used deep learning to improve detection of procurement fraud, thereby fighting financial crime. The post Data for Enterprise AI: at the very forefront of innovation appeared first on Cloudera Blog. And keep an eye on this year’s awards at www.cloudera.com/DIA. We hope to see your entry next year!

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Banking Data Science Deep Learning Machine Learning 121

Netflix Tech

NOVEMBER 11, 2022

This blog series will take you behind the scenes, showing you how we use the power of machine learning to create stunning media at a global scale. The feedback we collect from our members also powers our causal machine learning algorithms, providing invaluable creative insights on asset generation.

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Media Machine Learning Algorithm Deep Learning 98

Edureka

FEBRUARY 13, 2025

Unlike traditional guided learning, which needs a lot of data, Few-Shot Learning (FSL) is about learning from just a few examples. In this blog, we’ll explore Few-shot learning, its main ideas, and how it differs from traditional learning methods.

Deep Learning 52

Deep Learning Datasets Data Machine Learning 52

Cloudera

FEBRUARY 25, 2021

Here’s a preview of what you can leverage with one click in CML: Deep Learning for Anomaly Detection. Apply modern, deep learning techniques for anomaly detection to identify network intrusions. Deep Learning for Image Analysis. Build a semantic search application with deep learning models.

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Deep Learning Machine Learning Telecommunication Data Science 84

Cloudera

OCTOBER 26, 2022

Deep Learning for Anomaly Detection : ?? Apply modern, deep learning techniques for anomaly detection to identify network intrusions. Deep Learning for Image Analysis : Build a semantic search application with deep learning models. AMPs so far include: . AMP hackathon.

Machine Learning 76

Machine Learning Project Deep Learning Data Science 76

WeCloudData

MARCH 20, 2024

Machine learning is revolutionizing traffic prediction, enhancing route planning and reducing congestion in urban commuting. Explore advanced algorithms like Uni-LSTM and BiLSTM for accurate forecasts, along with Google Maps' integration of deep learning for improved ETA accuracy.

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Machine Learning Deep Learning Algorithm Utilities 97