ProjectPro

NOVEMBER 25, 2021

You will discover different models and algorithms that are widely used for text classification and representation. Applications of Text Classification Text Classification Algorithms Text Classification Models Text Classification Machine Learning NLP Project Ideas What is Text Classification?

Machine Learning 52

Machine Learning Algorithm Datasets Google Cloud 52

Knowledge Hut

MAY 3, 2024

If you are thinking of a simple, easy-to-implement supervised machine learning algorithm that can be used to solve both classifications as well as regression problems, K-Nearest Neighbors (K-NN) is a perfect choice. K-Nearest Neighbors is one of the most basic supervised machine learning algorithms, yet very essential.

Machine Learning 52

Machine Learning Algorithm Datasets Python 52

Knowledge Hut

JUNE 25, 2024

Python Data Science Handbook: Tools and Techniques for Developers The "Python Data Science Handbook Essential Tools for Working With Data" is the best book to learn python for data science, written by Jake Vander Plas and released by O'Reilly Media, Inc. Downey and was published by O'Reilly Media, Inc.

Data Science 97

Data Science Python Hadoop Media 97

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 Java 98

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

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 Algorithm 97

Netflix Tech

JANUARY 30, 2023

In a previous blog post we explained how our artwork personalization algorithm can pick the best image for each member, but how do we create a good set of images to choose from? The role of promotional artwork Great promotional media helps viewers discover titles they’ll love.

Algorithm 105

Algorithm Media Machine Learning Designing 105

Knowledge Hut

APRIL 25, 2024

Spark also supports SQL queries and machine learning algorithms. This can include everything from social media posts to sensor readings. This is where algorithms are used to analyze the data and extract insights. It includes features such as text analytics and social media analytics.

Big Data 98

Big Data Technology Hadoop NoSQL 98

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

ProjectPro

JANUARY 15, 2021

And honestly, there are a lot of real-world machine learning datasets around you that you can opt to start practicing your fundamental data science and machine learning skills, even without having to complete a comprehensive data science or machine learning course. Table of Contents What is a dataset in machine learning?

Machine Learning 40

Machine Learning Datasets Retail Banking 40

Knowledge Hut

JANUARY 16, 2024

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. The algorithms learn from environmental feedback to enhance recommendations based on your current habits. What Is Machine Learning?

Machine Learning 98

Machine Learning Engineering Programming Language Algorithm 98

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

Confluent

AUGUST 29, 2019

We will cover how you can use them to enrich and visualize your data, add value to it with powerful graph algorithms, and then send the result right back to Kafka. Step 2: Using graph algorithms to recommend potential friends. Link prediction algorithms. Common Neighbors algorithm. The sky’s the limit!

Kafka 55

Kafka Process Algorithm Cloud 55

ProjectPro

MARCH 5, 2021

The invisible pieces of code that form the gears and cogs of the modern machine age, algorithms have given the world everything from social media feeds to search engines and satellite navigation to music recommendation systems. You can download this Kaggle Dataset from here - TMDB 5000 Movie Kaggle Dataset.

Algorithm 40

Algorithm Systems Python Datasets 40

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

Edureka

MAY 31, 2024

Generative AI works by learning patterns and structures from a dataset and then using that knowledge to produce new content that resembles the data it was trained on. For example, a generative AI model trained on a dataset of human faces can generate new, realistic-looking faces that have never been seen before. Rephrase.ai

Education 95

Education Algorithm Coding Deep Learning 95

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 Java 75

Knowledge Hut

APRIL 23, 2024

Big data encompasses a lot of unstructured and structured data originating from diverse sources such as social media and online transactions. Entails employing algorithms like classification, clustering, and the like for extracting relationships and patterns from data. to glean useful insights from data.

Data Mining 52

Data Mining Big Data Database-centric Unstructured Data 52

ProjectPro

JULY 9, 2021

Suppose you’re among those fascinated by the endless possibilities of deep learning technology and curious about the popular deep learning algorithms behind the scenes of popular deep learning applications. Table of Contents Why Deep Learning Algorithms over Traditional Machine Learning Algorithms? What is Deep Learning?

Deep Learning 40

Deep Learning Algorithm Machine Learning Datasets 40

Netflix Tech

NOVEMBER 11, 2022

Even though such techniques can scale security solutions proportional to the service size, they bring their own set of challenges such as requiring labeled data samples, defining effective features, and finding appropriate algorithms. In semi-supervised anomaly detection models, only a set of benign examples are required for training.

Machine Learning 129

Machine Learning Digital Media Datasets Media 129

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

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

Cloudera

NOVEMBER 15, 2021

Examples of unstructured data, on the other hand, include media (video, images, audio), text files (email, tweets), business productivity files (Microsoft Office documents, Github code repositories, etc.) . Deep Learning, a subset of AI algorithms, typically requires large amounts of human annotated data to be useful. Data annotation.

Unstructured Data 96

Unstructured Data Pipeline-centric Database-centric Entertainment 96

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

APRIL 25, 2024

Recognizing the difference between big data and machine learning is crucial since big data involves managing and processing extensive datasets, while machine learning revolves around creating algorithms and models to extract valuable information and make data-driven predictions.

Machine Learning 52

Machine Learning Big Data Unstructured Data Data Mining 52

Knowledge Hut

JANUARY 18, 2024

These streams basically consist of algorithms that seek to make either predictions or classifications by creating expert systems that are based on the input data. Even Email spam filters that we enable or use in our mailboxes are examples of weak AI where an algorithm is used to classify spam emails and move them to other folders.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

AltexSoft

NOVEMBER 17, 2021

And one of the most effective ways is to apply sentiment analysis to classify commentaries and reviews on social media by their emotional nature. Training neural networks and implementing them into your classifier can be a cumbersome task since they require knowledge of deep learning and quite large datasets.

Machine Learning 75

Machine Learning Insurance Medical Healthcare 75

ProjectPro

AUGUST 28, 2021

Projects help you create a strong foundation of various machine learning algorithms and strengthen your resume. Each project explores new machine learning algorithms, datasets, and business problems. In this ML project, you will learn to implement the random forest regressor and Xgboost algorithms to train the model.

Portfolio 52

Portfolio Project Datasets Algorithm 52

Knowledge Hut

MAY 31, 2023

Sales Analysis Source Code Dataset Customer Review Sentiment Analysis It is the process of determining the emotional state of customers after they purchase or use the products. Reviews Sentiment Source Code Dataset Market Basket Analysis It involves the analysis of the correlation between the ales of different products when combined.

Project 52

Project Datasets Media Python 52

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

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.

Machine Learning 52

Machine Learning Big Data Deep Learning 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

Databand.ai

JULY 6, 2023

A data anomaly, also known as an outlier, is an observation or data point that deviates significantly from the norm, making it inconsistent with the rest of the dataset. Unintentional anomalies can distort the dataset, making it challenging to derive accurate insights.

Datasets 52

Datasets Algorithm Machine Learning Data Analysis 52

DataKitchen

NOVEMBER 5, 2024

This foundational layer is a repository for various data types, from transaction logs and sensor data to social media feeds and system logs. The Medallion architecture is a framework that allows data engineers to build organized and analysis-ready datasets in a lakehouse environment. How do you ensure data quality in every layer?

Architecture 81

Architecture Raw Data Pipeline-centric Data Ingestion 81

RandomTrees

NOVEMBER 25, 2024

Understanding Generative AI Generative AI describes an integrated group of algorithms that are capable of generating content such as: text, images or even programming code, by providing such orders directly. This article will focus on explaining the contributions of generative AI in the future of telecommunications services.

Telecommunication 52

Telecommunication IT Unstructured Data Data Mining 52

Towards Data Science

OCTOBER 29, 2024

Since most machine learning algorithms are optimized for numerical data, transforming categorical data into numerical form is essential. Consider a dataset with 2,000 unique IDs, each ID linked to one of only three countries. Indonesian Domestic Flights Dataset [1] Using an example from Fig 1.

Datasets 58

Datasets Machine Learning Data Science Media 58