Knowledge Hut

JANUARY 18, 2024

Data science is the application of scientific methods, processes, algorithms, and systems to analyze and interpret data in various forms. They can work with various tools to analyze large datasets, including social media posts, medical records, transactional data, and more. What Is Data Science?

Programming Language 98

Programming Language Data Science Programming Scala 98

Knowledge Hut

OCTOBER 26, 2023

Machine learning is a branch of AI; it's all about creating an algorithm, analyzing data, learning from data, process ing data, and identifying and applying patterns to data with minimal intervention by human s. It includes the UCI machine learning repository and dataset.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

Edureka

APRIL 24, 2024

Getting Trained on Data: To perform any task, first, the generative AI models need to be trained on massive datasets of existing content. Recognising Patterns: The algorithm then recognises patterns and relationships between various data sets based on all the retrieved training data.

Pharmaceutical 52

Pharmaceutical Manufacturing Datasets Algorithm 52

Knowledge Hut

OCTOBER 27, 2023

This would help you lead teams, build predictive models, identify trends, and provide recommendations to management based on findings from the data analysed using advanced statistics, machine learning algorithms, mathematical models, and techniques. Code example and the link to the dataset for this project can be found in this source code.

Data Analytics 52

Data Analytics Coding Project Medical 52

Knowledge Hut

NOVEMBER 27, 2023

Data Science is a field that uses scientific methods, algorithms, and processes to extract useful insights and knowledge from noisy data. Learn Data Analysis with Python Now that you know how to code in Python start picking toy datasets to perform analysis using Python. This is where Data Science comes into the picture.

Data Science 97

Data Science Healthcare Machine Learning Telecommunication 97

Knowledge Hut

MAY 2, 2024

It achieves this using abstraction layer called RDD (Resilient Distributed Datasets) in combination with DAG, which is built to handle failures of tasks or even node failures. Apache Spark has a framework for both i.e. Spark Streaming to handle Streaming using micro batches and DStreams and Structured Streaming using Datasets and Data frames.

Scala 52

Scala Hospitality Healthcare Retail 52

U-Next

MARCH 1, 2023

Applications Social Media Companies Healthcare Apps Self-Driving Vehicle Companies like Google and Tesla have been active in this industry for a while. Datasets are obtained, and forecasts are made using a regression approach. You must create an algorithm to ascertain how many units are sold every day.

Project 96

Project Medical Banking Healthcare 96

Cloudera

SEPTEMBER 15, 2021

The edge is a critical component of many digital transformation implementations, and particularly IoT deployments, for three main reasons — immediacy, fast-changing datasets and scalability. ML can stop a transaction if the algorithm detects anomalous behavior indicative of fraud.

Medical 117

Medical Retail Datasets Algorithm 117

Knowledge Hut

JANUARY 18, 2024

Data science is the application of scientific methods, processes, algorithms, and systems to analyze and interpret data in various forms. They can work with various tools to analyze large datasets, including social media posts, medical records, transactional data, and more. What Is Data Science?

Programming Language 75

Programming Language Data Science Programming Scala 75

U-Next

NOVEMBER 25, 2022

Machine Learning algorithms can help overcome these challenges by automatically detecting patterns in the data. . Together they can help machines learn how to recognize patterns in complex datasets and make valuable predictions. By using Machine Learning algorithms, it’s possible to identify patterns in data that indicate fraud.

Big Data 52

Big Data Machine Learning Deep Learning Algorithm 52

Edureka

SEPTEMBER 11, 2023

By employing algorithms that pick up on the subtleties of the input or training data they are given, generative AI certainly provides a multifaceted approach to data generation. It accomplishes this through complex algorithms and neural network architectures, and it has vast potential across many fields.

Algorithm 52

Algorithm Entertainment Healthcare Deep Learning 52

Edureka

APRIL 17, 2024

The algorithm is then designed as an easy-to-use generative AI tool to cater to our creative needs. They learn patterns and relationships from the dataset. These datasets are usually human-created content, so programmers can train generative tools to perform all the repetitive creative tasks. What Is Generative AI?

Healthcare 40

Healthcare Retail Media Entertainment 40

Knowledge Hut

JUNE 26, 2023

In a nutshell, this initiative uses social media data to provide real-time market sentiment predictions. Moreover, this project concept should highlight the fact that there are many interesting datasets already available on services like GCP and AWS. The vast majority of the data comes from outside sources like social media websites.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Knowledge Hut

MAY 31, 2023

Artificial intelligence has had a profound impact on our daily lives, and we employ AI whenever you look through social media, open Spotify, or conduct a fast Google search. The privacy and security of patient data and ensuring that AI algorithms are accurate, dependable, and impartial must be overcome.

Project 96

Project Healthcare Deep Learning Transportation 96

Pinterest Engineering

SEPTEMBER 20, 2023

These teams work together to ensure algorithmic fairness, inclusive design, and representation are an integral part of our platform and product experience. Body image and representation in the media, online and offline, has been a part of the cultural dialogue for decades.

Building 85

Building Pipeline-centric Machine Learning Datasets 85

Edureka

APRIL 19, 2024

They use complex algorithms to analyze patterns in language, allowing them to generate coherent and contextually relevant text. Large Language Models (LLMs) are machine learning models that use deep learning algorithms to understand natural language. Have you ever wondered how machines understand and generate human-like text?

Datasets 40

Datasets Utilities Algorithm Architecture 40

ProjectPro

OCTOBER 18, 2021

Machine Learning Projects are the key to understanding the real-world implementation of machine learning algorithms in the industry. Recommendation engines are popular in media, entertainment, and shopping. Dummy datasets like univariate time-series datasets, shampoo sales datasets, etc., Let the FOMO kick in!

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

Knowledge Hut

FEBRUARY 1, 2024

Machine learning algorithms produce these suggestions. Data-driven optimisation algorithms coordinate the complex dance of logistics, delivery schedules, and cost economies. This procedure is tricky and requires extensive data reading and filtering through a machine learning algorithm. Thinking about Amazon and Netflix?

Data Science 96

Data Science Retail Algorithm Manufacturing 96

Knowledge Hut

DECEMBER 28, 2023

Hadoop is a popular open-source framework that stores and processes large datasets in a distributed manner. Organizations are increasingly interested in Hadoop to gain insights and a competitive advantage from their massive datasets. Hadoop is widely used because it can store and analyze large datasets in a decentralized manner.

Hadoop 52

Hadoop Project Datasets Big Data 52

Edureka

APRIL 17, 2023

Social Media Sentiment Analysis: Social media sentiment analysis involves analyzing social media data to determine the sentiment or opinion of users about a particular product or service. This project involves working with a given dataset to understand the relationships between different variables and identify trends over time.

Portfolio 40

Portfolio Data Analytics Project Data Mining 40

Knowledge Hut

OCTOBER 29, 2023

From machine learning algorithms to data mining techniques, these ideas are sure to challenge and engage you. designing an algorithm to improve the efficiency of hospital processes. To develop such an app, you will need to have a strong understanding of computer science concepts such as data structures and algorithms.

Computer Science 111

Computer Science Coding Project Hospitality 111

Knowledge Hut

OCTOBER 26, 2023

This AWS project example is highly relevant nowadays when social media is widely using content recommendation systems to present things of our interest. It comes with in-built ML algorithms that do not require label data and leverages semantic search to simplify tasks. streaming data from any social media platform or IoT sensors).

AWS 52

AWS Coding Project Cloud Computing 52

Knowledge Hut

MARCH 26, 2024

Whether readers are looking to develop engaging social media content, craft persuasive marketing copy, or explore innovative solutions to industry challenges, they will find prompts designed to spark creativity and drive meaningful conversation. Repurpose this existing blog post on [topic] into a creative social media caption for [platform].

Media 52

Media Finance Medical Healthcare 52

Edureka

FEBRUARY 8, 2024

Big Data Processing- Workloads involving large datasets, analytics, and data processing can benefit from the enhanced memory capacity provided by M-Series instances. 3D Rendering and Media Processing- High-performance computing is crucial for rendering graphics and processing media files.

AWS 52

AWS NoSQL Deep Learning Datasets 52

Knowledge Hut

DECEMBER 27, 2023

Data processing can be done using statistical techniques, algorithms, scientific approaches, various technologies, etc. With more datasets and photos, clinicians will soon be able to diagnose patients more accurately with the help of machine learning. Analyzing medical images is one of them.

Data Science 52

Data Science Medical Manufacturing Transportation 52

Knowledge Hut

MARCH 20, 2024

Heap Sort Heap sort in ds is a comparison-based sorting algorithm that uses a heap to sort elements. Real world examples: Database Management Systems : When databases sort large datasets, they might use heap sort for its efficient use of memory and ability to handle massive amounts of data.

Algorithm 52

Algorithm Certification Data Datasets 52

Knowledge Hut

JANUARY 11, 2024

In this discussion, I will present some case studies to you that contain detailed and systematic data analysis of people, objects, or entities focusing on multiple factors present in the dataset. Data science is also employed in analyzing social media posts for sentiment analysis, bringing invaluable travel-related insights.

Data Science 98

Data Science Transportation Hospitality Banking 98

Knowledge Hut

DECEMBER 29, 2023

Specific Skills and Knowledge: Some skills that may be useful in this field include: Statistics, both theoretical and applied Analysis and model construction using massive datasets and databases Computing statistics Statistics-based learning C. In contrast to unsupervised learning, supervised learning makes use of labeled datasets.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Knowledge Hut

MARCH 19, 2024

From website hosting to running complicated machine learning algorithms, AWS provides a lot of applications that allow businesses to innovate, scale, and digitally transform. It also keeps backups, media files, log data, and static website content. You can enroll in an Am azon AWS course to learn more about AWS.

AWS 52

AWS Cloud Computing Amazon Web Services Relational Database 52

Edureka

APRIL 24, 2024

Generative AI models reshape the boundaries of creativity and functionality in technology, mimicking human-like inventive abilities with progressive tools and algorithms. Through training to understand normal patterns within a dataset, gen AI proves its effectiveness in identifying outliers or anomalies within complex data sets.

Entertainment 40

Entertainment Healthcare Pharmaceutical Datasets 40

Knowledge Hut

NOVEMBER 28, 2023

Whether you are working on a personal project, learning the concepts, or working with datasets for your company, the primary focus is a data acquisition and data understanding. In this article, we will look at 31 different places to find free datasets for data science projects. What is a Data Science Dataset?

Datasets 96

Datasets Data Science Project Banking 96

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. Hands-on experience with cloud-based platforms such AWS, Azure.

Coding 52

Coding Project Deep Learning Algorithm 52

Scott Logic

APRIL 7, 2024

It’s currently commonplace on social media to see posts around using models like GPT-3.5 (the the current ChatGPT model used “under the hood”) to generate templates for emails, social media posts, poems, birthday party ideas and all sorts of other supposedly creative ideas. By itself a tool that can do this is very powerful.

Media 52

Media Python Database Architecture 52

AltexSoft

OCTOBER 13, 2022

Generative AI refers to unsupervised and semi-supervised machine learning algorithms that enable computers to use existing content like text, audio and video files, images, and even code to create new possible content. Generative modeling tries to understand the dataset structure and generate similar examples (e.g.,

Algorithm 90

Algorithm Deep Learning Machine Learning Datasets 90

Knowledge Hut

JULY 26, 2023

Big Data is the term used to describe extraordinarily massive and complicated datasets that are difficult to manage, handle, or analyze using conventional data processing methods. This velocity aspect is particularly relevant in applications such as social media analytics, financial trading, and sensor data processing.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

Knowledge Hut

JUNE 20, 2023

It is used to develop algorithms and applications to make computers understand, interpret and generate human language. Natural Language Processing Engineer A Natural Language Processing engineer develops and implements algorithms and models to enable machines to understand and generate human language.

Process 52

Process Computer Science Algorithm Education 52

Edureka

JANUARY 23, 2023

The process uses powerful computers and algorithms to execute statistical analysis of data. They fine-tune the algorithm at this stage to get the best results. The experts can find out the general properties of the data present in the datasets. They use it for exploring large datasets to improve market segmentation.

Data Mining 52

Data Mining Banking Retail Medical 52