LinkedIn Engineering

JUNE 15, 2023

To remove this bottleneck, we built AvroTensorDataset , a TensorFlow dataset for reading, parsing, and processing Avro data. Today, we’re excited to open source this tool so that other Avro and Tensorflow users can use this dataset in their machine learning pipelines to get a large performance boost to their training workloads.

Datasets 102

Datasets Bytes Process Data Ingestion 102

ProjectPro

FEBRUARY 24, 2022

Working with audio data has been a relatively less widespread and explored problem in machine learning. In most cases, benchmarks for the latest seminal work in deep learning are measured on text and image data performances. Amidst this, speech and audio, an equally important type of data, often gets overlooked.

Deep Learning 52

Deep Learning Project Datasets Machine Learning 52

ProjectPro

NOVEMBER 30, 2021

Deep learning was developed in the early 1940s to mimic the neural networks of the human brain. However, in the last few decades, deep learning has unleashed itself into the world. 85% of data science platform vendors have the first version of deep learning in products. What does a Deep Learning Engineer do?

Deep Learning 52

Deep Learning Engineering Machine Learning Programming Language 52

Knowledge Hut

JUNE 26, 2023

Top Data Engineering Projects with Source Code Data engineers make unprocessed data accessible and functional for other data professionals. Source Code: Stock and Twitter Data Extraction Using Python, Kafka, and Spark 2. Source Code: Extracting Inflation Rates from CommonCrawl and Building a Model B.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

ProjectPro

JULY 23, 2021

Machine Learning and Deep Learning have experienced unusual tours from bust to boom from the last decade. But when it comes to large data sets, determining insights from them through deep learning algorithms and mining them becomes tricky. Image Source: [link] Nowadays, Deep Learning is almost everywhere.

Deep Learning 40

Deep Learning Machine Learning Algorithm Datasets 40

ProjectPro

JULY 7, 2021

As a beginner in the data industry, it can be overwhelming to step into AI and deep learning. After taking a deep learning course or two, you might find yourself getting stuck on how to proceed. Is it difficult to build deep learning models? Why build deep learning projects? Text Generator 9.

Deep Learning 40

Deep Learning Project Portfolio Datasets 40

AltexSoft

OCTOBER 26, 2023

Recent advancements in artificial intelligence (AI) have introduced smart tools revolutionizing coding. This article will define AI coding, explore its main benefits and features, and evaluate five notable AI coding tools. What is AI coding? Generative AI is, in turn, a subset of deep learning.

Coding 52

Coding Programming Language Deep Learning Java 52

Knowledge Hut

OCTOBER 26, 2023

This project will help you learn how to choose a CMS and deploy a website without writing its code from scratch. Source code: GitHub 2. Source Code: Mass Emailing 3. Source Code: GitHub 4. This AWS sample project will help you learn how to use AI -powered AWS services for text-to-speech conversion.

AWS 52

AWS Coding Project Cloud Computing 52

ProjectPro

AUGUST 30, 2022

Researchers have recently explored the possibility of using deep learning in various aspects of this process. Table of Contents What is Loan Prediction using Machine Learning? Top 5 Loan Prediction Datasets to Practice Loan Prediction Projects Univ.AI Which algorithm is best for Loan Prediction using Machine Learning?

Machine Learning 52

Machine Learning Coding Project Datasets 52

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

DECEMBER 22, 2023

Data analytics, data mining, artificial intelligence, machine learning, deep learning, and other related matters are all included under the collective term "data science" When it comes to data science, it is one of the industries with the fastest growth in terms of income potential and career opportunities.

Hadoop 98

Hadoop Deep Learning Data Science Machine Learning 98

Knowledge Hut

OCTOBER 30, 2023

This article will provide big data project examples, big data projects for final year students , data mini projects with source code and some big data sample projects. Let's check some big data analytics projects and big data analytics projects with source code. Let’s check some big data projects with source code.

Big Data 52

Big Data Coding Project Medical 52

AltexSoft

OCTOBER 18, 2022

In this post, we’ll briefly discuss challenges you face when working with medical data and make an overview of publucly available healthcare datasets, along with practical tasks they help solve. At the same time, de-identification only encrypts personal details and hides them in separate datasets. Medical datasets comparison chart .

Medical 52

Medical Datasets Machine Learning Hospitality 52

Knowledge Hut

MAY 31, 2023

Artificial intelligence (AI) projects are software-based initiatives that utilize machine learning, deep learning, natural language processing, computer vision, and other AI technologies to develop intelligent programs capable of performing various tasks with minimal human intervention. Let us get started!

Project 96

Project Healthcare Deep Learning Transportation 96

Knowledge Hut

FEBRUARY 1, 2024

Today, we’ll talk about how Machine Learning (ML) can be used to build a movie recommendation system - from researching data sets & understanding user preferences all the way through training models & deploying them in applications. The heart of this system lies in the algorithm used in movie recommendation system.

Systems 98

Systems Entertainment Algorithm Datasets 98

ProjectPro

DECEMBER 10, 2021

Along with that, deep learning algorithms and image processing methods are also used over medical reports to support a patient’s treatment better. One can use their dataset to understand how they work out the whole process of the supply chain of various products and their approach towards inventory management.

Business Intelligence 52

Business Intelligence Coding Project BI 52

Knowledge Hut

DECEMBER 26, 2023

Both can handle almost any data analysis work and are regarded as reasonably simple languages to learn, particularly for beginners. Python code may be used for several purposes, but three of the most common ones are Analysis of data and data science, Development of web applications, and Automation/scripting.

Data Science 98

Data Science Programming Language Deep Learning Machine Learning 98

ProjectPro

FEBRUARY 28, 2022

With modern deep learning techniques, we have advanced to detect difficult things like smiles, eyes, and emotions. This article will discuss the source code of a Facial Expression Recognition Project in Python. You will learn to train a deep neural network to solve complex problems like detecting emotions.

Coding 52

Coding Project Deep Learning Datasets 52

ProjectPro

JULY 21, 2021

Good knowledge of commonly used machine learning and deep learning algorithms. Strong understanding of statistical techniques used to quantify the results of NLP algorithms. Past experience with utilizing NLP algorithms is considered an added advantage. Design NLP-based applications to solve customer needs.

Coding 52

Coding Project Deep Learning Algorithm 52

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. While using Amazon SageMaker datasets are quick to access and load.

Data Science 98

Data Science Datasets Database Design Machine Learning 98

Knowledge Hut

DECEMBER 26, 2023

These skills are essential to collect, clean, analyze, process and manage large amounts of data to find trends and patterns in the dataset. The dataset can be either structured or unstructured or both. Computer Science Data science and coding go hand in hand. However, the level of coding required differs for different roles.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

ProjectPro

APRIL 6, 2021

Machines learning algorithms on the other hand, while classifying images face these challenges, and Image Classification becomes an exciting problem for us to solve. Yann Le Cunn’s Convolutional Neural Network (something we’ll explore later in the article) still remains the backbone of computer vision algorithms.

Deep Learning 40

Deep Learning Python Medical Datasets 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. With no future adieu, let's look at some of the most commonly used computer vision algorithms and applications.

Algorithm 52

Algorithm Medical Datasets Python 52

Knowledge Hut

MARCH 27, 2024

An algorithm design cheat sheet is a useful tool for engineers and machine learning specialists to prepare for managing algorithm design chores. AI and ML architects will find Machine Learning Cheat Sheets to be quite useful. Understanding the behavior of the data is essential before creating any algorithms.

Machine Learning 52

Machine Learning Deep Learning Algorithm Certification 52

Knowledge Hut

DECEMBER 29, 2023

In addition, there are professionals who want to remain current with the most recent capabilities, such as Machine Learning, Deep Learning, and Data Science, in order to further their careers or switch to an entirely other field. In contrast to unsupervised learning, supervised learning makes use of labeled datasets.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

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?

Datasets 40

Datasets Machine Learning Retail Banking 40

ProjectPro

FEBRUARY 5, 2021

Image classification , a subfield of computer vision helps in processing and classifying objects based on trained algorithms. Nonetheless, it is an exciting and growing field and there can't be a better way to learn the basics of image classification than to classify images in the MNIST dataset. instead of handwritten digits.

Datasets 40

Datasets Deep Learning Medical Algorithm 40

ProjectPro

AUGUST 16, 2021

Machine Learning Projects on Classification 2. Machine Learning Projects on Prediction 3. Machine Learning Projects on Computer Vision 4. Machine Learning Projects on Natural Language Processing (NLP) 5. Deep Learning and Neural Network Projects 6.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

Netflix Tech

NOVEMBER 13, 2023

Practical use cases for speech & music activity Audio dataset preparation Speech & music activity is an important preprocessing step to prepare corpora for training. Nevertheless, noisy labels allow us to increase the scale of the dataset with minimal manual efforts and potentially generalize better across different types of content.

Datasets 89

Datasets Metadata Algorithm Architecture 89

Knowledge Hut

JANUARY 16, 2024

What Is Machine Learning? Machine learning, in simple terms, is an offshoot of artificial intelligence. It is the realm where algorithms self-educate themselves to predict outcomes by uncovering data patterns. It has no manual coding; it is all about smart algorithms doing the heavy lifting.

Machine Learning 98

Machine Learning Engineering Programming Language Algorithm 98

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. Machine learning-based NLP — the basic way of doing NLP. The prepared data is then fed to the algorithm for training.

Process 139

Process Deep Learning Datasets Machine Learning 139

Knowledge Hut

MAY 23, 2024

Through this tool, researchers and data scientists can perform matrix operations, analyze algorithmic performance, and render data statistical modeling. It has visual data pipelines that help in rendering interactive visuals for the given dataset. Data science professionals and analysts can run a single line or multiple lines of code.

Data Science 52

Data Science MongoDB Programming Language Unstructured Data 52

ProjectPro

AUGUST 2, 2021

This process is almost indispensable even for more complex algorithms like Optical Character Recognition, around which companies like Microsoft have built and deployed entire products (i.e., Alternatively, you could attempt to implement other Grayscaling algorithms like the Lightness and the Average Method. Microsoft OCR).

Coding 40

Coding Python Process Project 40

Knowledge Hut

MARCH 19, 2024

In today's digital transformation era, machine learning has emerged as a transformative technology driving innovation across industries. Machine Learning Software Engineers are at the forefront of this revolution, applying their expertise to develop intelligent systems and algorithms.

Software Engineer 52

Software Engineer Software Engineering Machine Learning Engineering 52

U-Next

MARCH 1, 2023

The following are the AI project ideas for beginners, easily fitting into the top 10 Artificial Intelligence projects with source code in Python. Datasets are obtained, and forecasts are made using a regression approach. These bots employ AI algorithms to comprehend customer questions about credit cards, accounts, and loans.

Project 96

Project Medical Banking Healthcare 96

Knowledge Hut

MAY 3, 2024

Variance : This is what happens when a machine learning model performs well with the training dataset but poorly with the test dataset. What is Overfitting in Machine Learning? Overfitting is a machine learning notion that arises when a statistical model fits perfectly against its training data.

Machine Learning 52

Machine Learning Datasets Algorithm Data Science 52

Scott Logic

JANUARY 9, 2024

As part of an internal study group aimed at getting a good overview of artificial intelligence (AI) and machine learning (ML), we conducted a deep dive into the world of fast.ai. is a deep learning Python library that is primarily used for adding higher-level functionality in standard deep learning domains.

Deep Learning 52

Deep Learning Python Machine Learning Entertainment 52