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.

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Deep Learning Project Datasets Machine Learning 52

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. However, because we are only interested in comparing snowflakes, we need to bring our own dataset consisting solely of snowflakes, and a lot of them. Launch the AMP.

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Deep Learning Datasets Coding Machine Learning 111

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

Netflix Tech

MARCH 28, 2025

With over 300 million users at the end of 2024, this translates into hundreds of billions of interactionsan immense dataset comparable in scale to the token volume of large language models (LLMs). Data At Netflix, user engagement spans a wide spectrum, from casual browsing to committed movie watching.

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Metadata Bytes Data Mining Entertainment 66

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). Datasets – A Huge repository of ready-to-use NLP datasets designed for ML training.

Deep Learning 40

Deep Learning Datasets Machine Learning BI 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

Deep Learning Datasets Machine Learning Algorithm 40

Knowledge Hut

FEBRUARY 29, 2024

Then, based on this information from the sample, defect or abnormality the rate for whole dataset is considered. Hypothesis testing is a part of inferential statistics which uses data from a sample to analyze results about whole dataset or population. It offers various blogs based on above mentioned technology in alphabetical order.

Data Science 98

Data Science Datasets Machine Learning Database Design 98

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

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

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

Knowledge Hut

APRIL 26, 2024

The rules defined by these types of algorithms help to discover commercially useful and important associations among large datasets. Generally, these algorithms fall under the category of Deep Learning, which is a core field in Machine Learning.

Machine Learning 98

Machine Learning Algorithm Deep Learning Programming Language 98

U-Next

MARCH 1, 2023

You can find many Artificial Intelligence applications in this blog that you can use as project ideas for your academic assignments or personal growth. Datasets are obtained, and forecasts are made using a regression approach. There’s no industry left where the role of AI is not present. Let’s get started on this.

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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. Table of Contents What is a dataset in machine learning? Why you need machine learning datasets? Where can I find datasets for machine learning?

Machine Learning 40

Machine Learning Datasets Retail Banking 40

Netflix Tech

NOVEMBER 13, 2023

In this blog post, we will introduce speech and music detection as an enabling technology for a variety of audio applications in Film & TV, as well as introduce our speech and music activity detection (SMAD) system which we recently published as a journal article in EURASIP Journal on Audio, Speech, and Music Processing.

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Datasets Metadata Algorithm Architecture 93

Edureka

MARCH 26, 2025

The state-of-the-art neural networks that power generative AI are the subject of this blog, which delves into their effects on innovation and intelligent design’s potential. Neural networks are a type of machine-learning model inspired by the human brain. What are neural networks? How are neural networks used in AI?

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Raw Data Architecture Deep Learning Finance 40

Knowledge Hut

DECEMBER 26, 2023

A simple usage of Business Intelligence (BI) would be enough to analyze such datasets. They analyze datasets to find trends and patterns and report the results using visualization tools. What is the difference between Supervised and Unsupervised Learning? Data engineers can also create datasets using Python.

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Data Engineering Data Engineer Engineering Hadoop 98

AltexSoft

MAY 12, 2021

Particularly, we’ll present our findings on what it takes to prepare a medical image dataset, which models show best results in medical image recognition , and how to enhance the accuracy of predictions. What is to be done to acquire a sufficient dataset? labeling data by medical experts to create a ground-truth dataset.

Medical 72

Medical Healthcare Datasets Machine Learning 72

DataKitchen

APRIL 13, 2021

Read the complete blog below for a more detailed description of the vendors and their capabilities. Soda doesn’t just monitor datasets and send meaningful alerts to the relevant teams. Polyaxon — An open-source platform for reproducible machine learning at scale. Download the 2021 DataOps Vendor Landscape here.

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Consulting Machine Learning Data Science Data Pipeline 120

DareData

JUNE 11, 2024

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. In this blog post, we are finally going to bring out the big guns and train our first computer vision algorithm.

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Algorithm Datasets Deep Learning Architecture 52

DareData

FEBRUARY 28, 2024

In this post of the PyTorch Introduction, we’ll learn how to use custom datasets with PyTorch, particularly tabular, vision and text data PyTorch is one of the hottest libraries in the Deep Learning field right now. Learn how to work with non-linear activation functions and how to solve non-linear problems.

Datasets 52

Datasets Deep Learning Data Machine Learning 52

Data Engineering Weekly

AUGUST 25, 2024

The blog is a good overview of various components in a typical data stack. Powerful deep learning models are becoming smarter, more accessible and cost-effective. However, it’s only by combining these with rich proprietary datasets and operational data streams that organizations can find true differentiation.

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Data Engineering Data Engineer Engineering Database-centric 70

ProjectPro

OCTOBER 16, 2021

TensorFlow and Scikit-learn, two of the most popular words from the jargon of the Machine Learning world! If you are wondering what is the reason behind their popularity, continue reading as we answer that question in this blog by exploring hands-on machine learning with Scikit-learn and TensorFlow.

Machine Learning 52

Machine Learning Deep Learning Datasets Algorithm 52

Cloudera

JULY 15, 2019

At a time when machine learning, deep learning, and artificial intelligence capture an outsize share of media attention, jobs requiring SQL skills continue to vastly outnumber jobs requiring those more advanced skills. Glynn Durham is a Senior Instructor at Cloudera.

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Education Big Data Data Analysis SQL 59

Cloudera

NOVEMBER 15, 2021

This blog discusses quantifications, types, and implications of data. Deep Learning, a subset of AI algorithms, typically requires large amounts of human annotated data to be useful. It aims to protect AI stakeholders from the effects of biased, compromised or skewed datasets. Quantifications of data. Data annotation.

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Unstructured Data Pipeline-centric Database-centric Entertainment 90

Cloudera

MARCH 13, 2019

A Data Scientist : Organizations who show how they improved analytics, delivered new actionable intelligence, or designed systems for distributed deep learning and artificial intelligence to the organization’s business and customers. appeared first on Cloudera Blog. The post Introducing the 2019 Data Heroes – EMEA!

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Data Architect Banking Utilities Deep Learning 69

ProjectPro

JANUARY 31, 2023

This is particularly true when working with complex deep-learning models that require large amounts of data to perform well. Bid goodbye to worries related to such problems with this blog, as it covers an appropriate and effective solution to the problem of limited data available for training machine learning and deep learning models.

Deep Learning 52

Deep Learning Datasets Machine Learning Data 52

Towards Data Science

JANUARY 5, 2024

Depending on the peculiarities of the project, that may mean different models, optimization algorithms, deep learning architectures, engineered features, and so on. This blog post is in no way promoting reinventing the wheel. We might want to extract additional features to enhance the dataset.

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Data Science Datasets Machine Learning Data 98

DareData

DECEMBER 16, 2023

In my last blog post, we’ve learned how to work with PyTorch tensors , the most important object in the PyTorch library. Tensors are the backbone of deep learning models so naturally we can use them to fit simpler machine learning models to our datasets. of the song Song loudness Song tempo.

Building 52

Building Deep Learning Datasets Coding 52

Edureka

MAY 31, 2024

In this Blog, we will explore tools that can help you generate ideas, write content, and even create art. You will learn how to automate repetitive tasks, analyze data like a pro, and make predictions with ease. DALL-E 2 learns from examples, so you can describe what you want in natural language and get different images and art.

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Education Algorithm Coding Deep Learning 95

ProjectPro

SEPTEMBER 29, 2021

The term artificial intelligence is always synonymously used Awith complex terms like Machine learning, Natural Language Processing, and Deep Learning that are intricately woven with each other. One of the trending debates is that of the differences between natural language processing and machine learning.

Machine Learning 52

Machine Learning Deep Learning Algorithm Datasets 52

Towards Data Science

JANUARY 26, 2023

In contrast, a deep learning training application might prioritize reducing the average sequential read and total processing time in order to minimize the potential for performance bottlenecks in the training flow. Check out this informative blog for more details on how S5cmd works and its significant performance advantages.

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Cloud Storage Big Data Cloud AWS 98

ProjectPro

JULY 21, 2021

In this blog, explore a diverse list of interesting NLP projects ideas, from simple NLP projects for beginners to advanced NLP projects for professionals that will help master NLP skills. Good knowledge of commonly used machine learning and deep learning algorithms.

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Coding Project Deep Learning Algorithm 52

Data Engineering Weekly

DECEMBER 24, 2023

link] Google: Advancements in machine learning for machine learning Google writes about exciting advancements in ML for ML. The blog explores how Google uses ML to improve the efficiency of ML workloads! Read the announcement for more details.

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Data Engineering Data Engineer Engineering Deep Learning 62

U-Next

AUGUST 8, 2022

Before heading out for a Machine Learning interview, find time to go through this quick recap blog on the fundamentals of Machine Learning. Introduction to Machine Learning Interview Questions. Data Science and Machine Learning are two of the most widely used technologies around the globe nowadays.

Machine Learning 52

Machine Learning Deep Learning Algorithm Data Mining 52

RandomTrees

JUNE 24, 2024

Fig: 1: Image Annotation Challenges of manual Annotation Complications in manually annotating visual data: It is Time-consuming and labor-intensive, especially for large datasets. Scalability limitations which make it impractical for large datasets. Initially, we used a custom dataset focused on potholes.

Medical 52

Medical Machine Learning Retail Datasets 52

DareData

JANUARY 13, 2024

Continuing the Pytorch series, in this post we’ll learn about how non-linearities help solve complex problems in the context of neural networks In the last blog posts of the PyTorch Introduction series, we spoke about introduction to tensor objects and building a simple linear model using PyTorch. Let’s start!

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Datasets Deep Learning Architecture Algorithm 52

Knowledge Hut

NOVEMBER 27, 2023

In fact, you reading this blog is also being recorded as an instance of data in some digital storage. Learn Data Analysis with Python Now that you know how to code in Python start picking toy datasets to perform analysis using Python. Learn about Dataframes, Pandas, and Numpy to begin with.

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