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.

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Knowledge Hut

DECEMBER 29, 2023

Professionals from a variety of disciplines use data in their day-to-day operations and feel the need to understand cutting-edge technology to get maximum insights from the data, therefore contributing to the growth of the organization. The market for analytics is flourishing, as is the usage of the phrase Data Science.

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Knowledge Hut

JUNE 16, 2023

Artificial Intelligence is the core of the technology industry and is growing more competitive. New generative AI algorithms can deliver realistic text, graphics, music and other content. They also work with Big Data technologies such as Hadoop and Spark to manage and process large datasets. between 2022 to 2030.

Engineering 52

Engineering Deep Learning Programming Language Software Engineer 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?

Deep Learning 40

Deep Learning Algorithm Machine Learning Datasets 40

Edureka

APRIL 17, 2024

The algorithm is then designed as an easy-to-use generative AI tool to cater to our creative needs. However, with time, this technology is further expected to make strides and create tools that are far beyond our comprehension. They learn patterns and relationships from the dataset. How Does Generative AI Tool Work?

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Knowledge Hut

JANUARY 11, 2024

For this purpose, a data enthusiast needs to stay updated with the latest technological advancements in AI. 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.

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Data Science Transportation Hospitality Banking 98

Cloudera

NOVEMBER 15, 2021

Seagate Technology forecasts that enterprise data will double from approximately 1 to 2 Petabytes (one Petabyte is 10^15 bytes) between 2020 and 2022. The IDC categorizes data into four types: entertainment video and images, non-entertainment video and images, productivity data, and data from embedded devices. Data annotation.

Unstructured Data 88

Unstructured Data Pipeline-centric Database-centric Entertainment 88

AltexSoft

OCTOBER 13, 2022

Gartner has included generative AI in its “ Emerging Technologies and Trends Impact Radar for 2022 ” as one of the most impactful and rapidly evolving technologies that brings productivity revolution. The potential of generative AI and GANs in particular is huge because this technology can learn to mimic any distribution of data.

Algorithm 90

Algorithm Deep Learning Machine Learning Datasets 90

AltexSoft

MAY 12, 2022

But acoustic signals can tell us even more if analyze them using modern technologies. Aiming at understanding sound data, it applies a range of technologies, including state-of-the-art deep learning algorithms. The Fast Fourer Transform (FFT) is the algorithm computing the Fourier transform. Speech recognition.

Machine Learning 122

Machine Learning Building Datasets Healthcare 122

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

AltexSoft

JULY 10, 2023

In this article, we delve into the mechanics, applications, and debates surrounding AI image generation, shedding light on how these technologies work, their potential benefits, and the ethical considerations they bring along. AI image generators are trained on an extensive amount of data, which comprises large datasets of images.

Medical 64

Medical Datasets Algorithm Entertainment 64

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

Knowledge Hut

JANUARY 18, 2024

Data Science is a field of study that handles large volumes of data using technological and modern techniques. It entails using various technologies, including data mining, data transformation, and data cleansing, to examine and analyze that data. However, data scientists are primarily concerned with working with massive datasets.

Software Engineer 97

Software Engineer Software Engineering Data Science Engineering 97

ProjectPro

DECEMBER 10, 2021

And one can easily comprehend the statistics if one considers the various industries (law enforcement, healthcare, education, finance, and technology) that can benefit from Business Intelligence tools. Additionally, use different machine learning algorithms like linear regression, decision trees, random forests, etc.

Business Intelligence 52

Business Intelligence Coding Project BI 52

Knowledge Hut

NOVEMBER 16, 2023

Given these statistics and the increasing demand for Generative AI, it wouldn’t be too wrong if I say that Generative AI is technology’s hottest talking point of 2023, which has rapidly gained traction across businesses and consumers. Make sure the dataset is big enough to train a strong model.

Medical 52

Medical Datasets Healthcare Deep Learning 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 Education 52

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

NOVEMBER 18, 2021

The Walmart Labs team heavily invests in building and managing technologies like cloud, data, DevOps, infrastructure, and security. 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.

Data Science 52

Data Science Project Food Pharmaceutical 52

Knowledge Hut

NOVEMBER 15, 2023

In a number of fields, including technology, artificial intelligence (AI) has been making waves. 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.

Programming Language 52

Programming Language Deep Learning Programming Entertainment 52

U-Next

AUGUST 3, 2022

Now that well-known technologies like Hadoop and others have resolved the storage issue, the emphasis is on information processing. A Data Scientist is skilled in concluding data using various systems, procedures, and algorithms. Up until 2010, it was extremely difficult for companies to store data.

Retail 52

Retail Data Science Computer Science Entertainment 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

ProjectPro

FEBRUARY 25, 2022

It is a beautiful technique for implementing data science projects that allow businesses to increase their projects’ efficiency minimize the risk of introducing machine learning, artificial intelligence, and data-science-related technologies. The first step of cleaning the dataset is critical as a lot of time is spent here.

Deep Learning 52

Deep Learning Algorithm Machine Learning Data Science 52

U-Next

SEPTEMBER 23, 2022

Over the past decade, the technological revolution has been expanding at an exponential rate, and organizations are adopting new technologies. Due to the technological revolution, Machine Learning, Artificial Intelligence, and Data Science have changed our day-to-day lives. . Introduction . trillion U.S. Real-world Examples

Machine Learning 40

Machine Learning Data Science Manufacturing Healthcare 40

ProjectPro

JUNE 7, 2021

No doubt, chatbots are our new friends and are projected to be a continuing technology trend in AI. Chatbots can be fun, if built well as they make tedious things easy and entertaining. It is widely used to realize the pattern between the input features and the corresponding output in a dataset.

Python 52

Python Project Building Datasets 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

This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies. There are plenty of datasets on the Internet that can provide more information than what you already have. Calculating the variations between date-column values, etc.

Big Data 52

Big Data Coding Project Hadoop 52

AltexSoft

OCTOBER 3, 2022

So, if you want to apply this technology in your projects but have no idea where to start, this post is a great place. 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. What is a knowledge graph? A knowledge graph example. Knowledge graph example.

Relational Database 52

Relational Database Banking Media Computer Science 52

AltexSoft

MAY 12, 2023

The Hadoop ecosystem also has various tools and libraries to manage large datasets. It supports the near real-time processing of large unstructured datasets. This technology can serve numerous purposes, including security and surveillance, customer behavior analysis, and quality control in manufacturing.

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Unstructured Data NoSQL Hadoop Data Lake 59

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

ProjectPro

MARCH 14, 2014

Job site 15 nodes Runs Machine learning Algorithms 44 CDU now! Job site 15 nodes Runs Machine learning Algorithms 44 CDU now! Job site 15 nodes Runs Machine learning Algorithms 44 CDU now! Hadoop is used at eBay for Search Optimization and Research. Search Engine Clusters 10 to 100 nodes Used for analytics 33 Archive.is

Hadoop 40

Hadoop Big Data Data Mining Retail 40

ProjectPro

AUGUST 6, 2015

Table of Contents 5 Big Data Use Cases For Customer Sentiment Analysis For Behavioural Analytics For Customer Segmentation For Predictive Support For Fraud Detection How top Sports companies use Big Data- NFL’s Atlanta Falcons use GPS technology and collect the data to analyse the movement of players during practice sessions.

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Big Data Hadoop Insurance Media 52