RandomTrees

JANUARY 29, 2024

Machine learning models rely heavily on large and diverse datasets to train and improve their ability to understand and interpret visual information. Achieving this level of sophistication demands an extensive dataset that mirrors real-world scenarios.

Medical 52

Medical Retail Entertainment Datasets 52

Edureka

SEPTEMBER 11, 2023

From healthcare and finance to art and entertainment, generative AI has been in the news recently. 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. Check out this video to learn more about generative AI.

Algorithm 52

Algorithm Entertainment Deep Learning Healthcare 52

Knowledge Hut

OCTOBER 27, 2023

On an unclean and disorganised dataset, it is impossible to build an effective and solid model. When cleaning the data, it can take endless hours of study to find the purpose of each column in the dataset. Reddit datasets. The project is written in R, and it makes use of the Janeausten R package's dataset.

Data Science 96

Data Science Coding Project Datasets 96

Cloudera

NOVEMBER 15, 2021

The IDC categorizes data into four types: entertainment video and images, non-entertainment video and images, productivity data, and data from embedded devices. This trend might be explained by increased usage of Ultra High Definition television, and the increased popularity of entertainment streaming services like Netflix.

Unstructured Data 88

Unstructured Data Pipeline-centric Database-centric Entertainment 88

Knowledge Hut

JUNE 16, 2023

New generative AI algorithms can deliver realistic text, graphics, music and other content. Artificial Intelligence Technology Landscape An AI engineer develops AI models by combining Deep Learning neural networks and Machine Learning algorithms to utilize business accuracy and make enterprise-wide decisions. between 2022 to 2030.

Engineering 52

Engineering Deep Learning Programming Language Software Engineer 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

AltexSoft

MAY 12, 2022

Aiming at understanding sound data, it applies a range of technologies, including state-of-the-art deep learning algorithms. Audio analysis has already gained broad adoption in various industries, from entertainment to healthcare to manufacturing. The Fast Fourer Transform (FFT) is the algorithm computing the Fourier transform.

Machine Learning 122

Machine Learning Building Deep Learning Datasets 122

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

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

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

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

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 Banking 40

Knowledge Hut

OCTOBER 30, 2023

Deep learning projects are applications or systems that use deep learning algorithms to perform complex tasks such as image recognition, natural language processing, speech recognition, and prediction. This dataset contains medical record data for Pima Indians and indicates whether they had an onset of diabetes within five years.

Deep Learning 52

Deep Learning Project Datasets Machine Learning 52

ProjectPro

NOVEMBER 18, 2021

Walmart runs a backend algorithm that estimates this based on the distance between the customer and the fulfillment center, inventory levels, and shipping methods available. It uses Machine learning algorithms to find transactions with a higher probability of being fraudulent.

Data Science 52

Data Science Project Food Pharmaceutical 52

AltexSoft

NOVEMBER 15, 2022

Dataset preparation and construction. As of now, we’ll focus on such steps as finding the right data and constructing the dataset to build an ML-powered occupancy rate prediction module. Public datasets. You can also take advantage of publicly available datasets — for example, Hotel booking demand on Kaggle. Data sources.

Hospitality 52

Hospitality Building Datasets Machine Learning 52

Knowledge Hut

JANUARY 18, 2024

However, data scientists are primarily concerned with working with massive datasets. Data scientists, like software engineers, strive to optimize algorithms and handle the trade-off between speed and accuracy. More data has been generated in the actual world in the last two years than in the complete history of humanity.

Software Engineer 97

Software Engineer Software Engineering Data Science Engineering 97

ProjectPro

FEBRUARY 25, 2022

The primary reason behind this spike is the sudden realization that using MLOps results in the improvised deployment of machine learning algorithms. Feature Selection and Feature Engineering Choosing the relevant machine learning/deep learning algorithms. Using machine learning algorithms to automate the solution pipelines.

Deep Learning 52

Deep Learning Algorithm Machine Learning Data Science 52

Scott Logic

JANUARY 9, 2024

First the theory of the concepts is spelled out, then that theory is translated into actual Python code and lastly the code is tested against an actual dataset. The contents are presented in a very entertaining and educational way. The below courses adopt an interesting approach that consists in building their custom implementations.

Deep Learning 52

Deep Learning Python Machine Learning Entertainment 52

Knowledge Hut

DECEMBER 26, 2023

Data science develops predictive models using sophisticated machine learning algorithms. You can acquire and use data sets for free from various dataset sources. Creating Projects Projects are an excellent method to showcase your data science abilities, and it doesn't hurt that they're also entertaining.

Data Science 52

Data Science Portfolio Recruitment Machine Learning 52

Scott Logic

NOVEMBER 1, 2024

Learning Ability: Through machine learning algorithms, these models have ability to continuously learn from interactions and to improve their responses over time. This technology is revolutionising multiple industries like Healthcare, Entertainment, Marketing, and Finance by enhancing creativity and efficiency.

Healthcare 40

Healthcare Finance Entertainment Algorithm 40

Knowledge Hut

NOVEMBER 16, 2023

Data Collection and Preparation To create effective Generative AI models, you should start by gathering a good dataset that matches your project's needs. Make sure the dataset is big enough to train a strong model. You can also use cross-validation and test datasets to evaluate the model’s generalization performance.

Medical 52

Medical Datasets Deep Learning Healthcare 52

ProjectPro

JUNE 7, 2021

Chatbots can be fun, if built well as they make tedious things easy and entertaining. Lemmatization Download the Python Notebook to Build a Python Chatbot Neural Network It is a deep learning algorithm that resembles the way neurons in our brain process information (hence the name). We’ll simplify things for you.

Python 52

Python Project Building Algorithm 52

Knowledge Hut

NOVEMBER 15, 2023

Coding focused on algorithm development for training these models. Big Data and Deep Learning (Mid-2000s - Present): Advancements in computing power and access to vast datasets led to a resurgence of AI. They also significantly affect other facets of life, such as entertainment, healthcare, and education.

Programming Language 52

Programming Language Deep Learning Programming Entertainment 52

ProjectPro

SEPTEMBER 6, 2021

and use machine learning algorithms to train a model that learns various features of the hotels and predicts the prices. To keep the users hooked to their games and not lose them to other entertainment options, the analysts have to keep track of the customer reviews.

Project 52

Project Programming Language Entertainment Python 52

Edureka

JULY 18, 2024

Entertainment studios are exploring AI platforms like Scriptbook to generate story ideas, write scripts or dialogue for characters, or even create concept art for new worlds or characters. AI platforms built for such purposes are pre-trained on massive screenplay datasets and use transformers with decoder-only architectures.

Engineering 40

Engineering Recruitment Entertainment Architecture 40

ProjectPro

OCTOBER 6, 2021

It is needed to understand machine learning and deep learning algorithms that are used along with NLP techniques. Finally, it moves on to statistics, information theory to lay down the perfect beginner-friendly path for machine learning algorithms. Ability to code in one of the popular programming languages like C/C++, Python, R, Java.

Deep Learning 52

Deep Learning Programming Language Machine Learning Algorithm 52

ProjectPro

JULY 26, 2021

TensorFlow is equipped with features, like state-of-the-art pre-trained models, p opular machine learning datasets , and increased ease of execution for mathematical computations, making it popular among seasoned researchers and students alike. For testing purposes, you could use one of the many available datasets such as this one: 5.

Project 40

Project Deep Learning Medical Datasets 40

AltexSoft

OCTOBER 3, 2022

So, in terms of a “graph of data”, a dataset is arranged as a network of nodes, edges, and labels rather than tables of rows and columns. virtually — when the data remains in its original formats, but the knowledge graph integrates the original datasets at the level of abstract schemas (see our article about data fabrics).

Relational Database 52

Relational Database Banking Media Computer Science 52

Netflix Tech

NOVEMBER 12, 2019

Over the years, we have built a recommendation system that uses many different machine learning algorithms to create these personalized recommendations. All of these algorithms and logic come together in our page generation system to produce a personalized homepage for each of our members, which we have outlined in a previous post.

Algorithm 49

Algorithm Machine Learning Systems Entertainment 49

Netflix Tech

NOVEMBER 12, 2019

Over the years, we have built a recommendation system that uses many different machine learning algorithms to create these personalized recommendations. All of these algorithms and logic come together in our page generation system to produce a personalized homepage for each of our members, which we have outlined in a previous post.

Algorithm 40

Algorithm Machine Learning Systems Entertainment 40

Netflix Tech

NOVEMBER 12, 2019

Over the years, we have built a recommendation system that uses many different machine learning algorithms to create these personalized recommendations. All of these algorithms and logic come together in our page generation system to produce a personalized homepage for each of our members, which we have outlined in a previous post.

Algorithm 40

Algorithm Machine Learning Systems Entertainment 40

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 in the Entertainment Industry Due to the Pandemic, demand for OTT (Over-the-top) media platforms has grown significantly.

Data Science 98

Data Science Transportation Hospitality Banking 98

ProjectPro

OCTOBER 12, 2021

Machine learning algorithms let us make sense of the data, find patterns based on similarity in features/attributes, and help quick decision-making across different industries, including economics, healthcare, e-commerce, retail, etc. .’ Classes of classification problems aside (Did you see what we did there? ?).

Machine Learning 52

Machine Learning Project Entertainment Retail 52

U-Next

AUGUST 3, 2022

A Data Scientist is skilled in concluding data using various systems, procedures, and algorithms. Processes for modelling data, algorithms, and prediction models are created to draw out information from the collected data. To differentiate and categorise data based on a set of criteria, Data Scientists utilise specialised algorithms.

Data Science 52

Data Science Retail Computer Science Entertainment 52

U-Next

SEPTEMBER 21, 2022

Data mining is the systematic assessment of datasets to discover potentially relevant trends and correlations. When it comes to tools, various ones operate with different sorts of data mining, depending on the algorithms they use. Entertainment and more . What is Data Mining? . Disadvantages to Data Mining . Marketing .

Data Mining 40

Data Mining Data Warehouse Business Intelligence Retail 40

ProjectPro

MAY 31, 2021

A big data project is a data analysis project that uses machine learning algorithms and different data analytics techniques on a large dataset for several purposes, including predictive modeling and other advanced analytics applications. Another method for enhancing your dataset and creating more intriguing features is to use graphs.

Big Data 52

Big Data Coding Project Hadoop 52