Knowledge Hut

FEBRUARY 29, 2024

Learning inferential statistics website: wallstreetmojo.com, kdnuggets.com Learning Hypothesis testing website: stattrek.com Start learning database design and SQL. A database is a structured data collection that is stored and accessed electronically.

Data Science 79

Data Science Datasets Database Design Machine Learning 79

Knowledge Hut

DECEMBER 26, 2023

They collect and extract data from warehouses using querying techniques, analyze this data and create summary reports of the company's current standings. They suggest recommendations to management to increase the efficiency of the business and develop new analytical models to standardize data collection.

Data Science 66

Data Science BI Business Intelligence Data Mining 66

Edureka

SEPTEMBER 11, 2023

Generative AI’s magic comes from understanding the intricate structures and patterns in its training data. These algorithms frequently employ methods like Bayesian inference, Markov Chains, and maximum likelihood estimation to create new data. On top of these statistical models, more intricate architectural designs are built.

Algorithm 52

Algorithm Entertainment Healthcare Deep Learning 52

U-Next

SEPTEMBER 13, 2022

A multidisciplinary field called Data Science involves unprocessed data mining, its analysis, and discovering patterns utilized to extract meaningful information. The fundamental building blocks of Data Science are Statistics, Machine Learning, Computer Science, Data Analysis, Deep Learning, and Data Visualization. .

Machine Learning 40

Machine Learning Data Science Deep Learning Algorithm 40

AltexSoft

OCTOBER 18, 2022

No wonder publicly available health datasets are relatively rare and attract much attention from researchers, data scientists, and companies working on medical AI solutions. Below, we’ll explore data collections the Internet has to offer and the practical tasks they help solve. Older Adults Health Data Collection.

Medical 52

Medical Datasets Machine Learning Hospitality 52

Knowledge Hut

JANUARY 18, 2024

These professionals are capable of handling feature engineering, getting the data, and model building. They also ensure the efficient application of the model for making relevant predictions using the data collected through various methods.

Data Science 63

Data Science Computer Science Programming Language Machine Learning 63

AltexSoft

MAY 27, 2022

MIMIC standing for Medical Information Mart for Intensive Care is a freely available database of medical data collected from patients in intensive care units (ICU). There are numerous studies describing experiments with deep learning models trained to predict LOS. MIMIC database. several others.

Hospitality 98

Hospitality Medical Healthcare Algorithm 98

WeCloudData

OCTOBER 19, 2021

With these data tools in place, the WeCloudData team was able to: Process the raw user clickstream data with Python & Spark to develop an array of recommender models. These models utilized traditional methods like content-based filtering and collaborative filtering, as well as more advanced deep learning techniques with BERT.

Consulting 52

Consulting Systems NoSQL Raw Data 52

WeCloudData

OCTOBER 19, 2021

With these data tools in place, the WeCloudData team was able to: Process the raw user clickstream data with Python & Spark to develop an array of recommender models. These models utilized traditional methods like content-based filtering and collaborative filtering, as well as more advanced deep learning techniques with BERT.

Consulting 52

Consulting Systems NoSQL Raw Data 52

Knowledge Hut

JANUARY 19, 2024

Deep Learning Deep Learning takes machine learning to the next level, exploring neural networks and advanced techniques. Within the data science syllabus, delving into deep learning involves understanding complex concepts like convolutional neural networks (CNNs) and recurrent neural networks (RNNs).

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

Knowledge Hut

JUNE 20, 2023

Skills A data engineer should have good programming and analytical skills with big data knowledge. A machine learning engineer should know deep learning, scaling on the cloud, working with APIs, etc. Examples Pull daily tweets from the data warehouse hive spreading in multiple clusters.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

Knowledge Hut

NOVEMBER 27, 2023

Developing technical skills is essential, starting with foundational knowledge in mathematics, including calculus and linear algebra, which underpin machine learning and deep learning concepts. Common processes are: Collect raw data and store it on a server.

Data Science 52

Data Science Datasets Machine Learning Algorithm 52

Confluent

FEBRUARY 6, 2019

Uber expanded Michelangelo “to serve any kind of Python model from any source to support other Machine Learning and Deep Learning frameworks like PyTorch and TensorFlow [instead of just using Spark for everything].”. Data scientists love Python, period. These standards have pros and cons.

Machine Learning 107

Machine Learning Python Kafka Java 107

AltexSoft

SEPTEMBER 19, 2023

For instance, a notable expert in this domain, OAG , has a suite of air-related datasets, including historical flight data spanning 20 years. Businesses selling vacation rentals can take advantage of data collection from AirDNA , Mashvisor , and others. Choose analytical tools.

Hospitality 52

Hospitality Machine Learning Data Governance BI 52

AltexSoft

JUNE 26, 2023

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

ProjectPro

APRIL 17, 2015

Last year when Twitter and IBM announced their partnership it seemed an unlikely pairing, but the recent big data news on New York Times about this partnership took a leap forward with IBM’s Watson all set to mine Tweets for sentiments. Deep learning involves ingesting big data to neural networks to receive predictions in response.

Big Data 52

Big Data Data Analysis NoSQL Deep Learning 52

ProjectPro

AUGUST 13, 2021

Predictive Analytics Predictive Analytics involves using data science methods to estimate the value of a quantity necessary for decision making. This application of machine learning algorithms has changed the game for many businesses. Keras was designed to help data scientists effortlessly implement deep learning algorithms.

Machine Learning 40

Machine Learning Project Deep Learning Datasets 40

ProjectPro

JUNE 9, 2021

Difference between Data Science and Data Engineering Data Science Data Engineering Data Science involves extracting information from raw data to derive business insights and values using statistical methods. Data Engineering is associated with data collecting, processing, analyzing, and cleaning data.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Cloudera

FEBRUARY 16, 2022

We can think of model lineage as the specific combination of data and transformations on that data that create a model. This maps to the data collection, data engineering, model tuning and model training stages of the data science lifecycle. So, we have workspaces, projects and sessions in that order.

Machine Learning 82

Machine Learning Algorithm Government Metadata 82

Knowledge Hut

JUNE 26, 2023

Use Stack Overflow Data for Analytic Purposes Project Overview: What if you had access to all or most of the public repos on GitHub? As part of similar research, Felipe Hoffa analysed gigabytes of data spread over many publications from Google's BigQuery data collection. Python source code for Big Data can be written.

Data Engineering 81

Data Engineering Data Engineer Coding Project 81

Knowledge Hut

JUNE 23, 2023

Data engineers make a tangible difference with their presence in top-notch industries, especially in assisting data scientists in machine learning and deep learning. Data warehousing to aggregate unstructured data collected from multiple sources.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

U-Next

AUGUST 18, 2022

Beginner Data Scientists: Activities are usually assigned to entry-level Data Scientists, who frequently need support from more experienced Data Scientists. Data collection and cleansing will be the first steps for new personnel in the Data Science procedure.

Unstructured Data 40

Unstructured Data Medical Data Science Business Intelligence 40

Knowledge Hut

JANUARY 22, 2024

Some common specializations include: Machine Learning and AI These courses provide in-depth knowledge of machine learning algorithms like regression, classification, clustering, deep learning and natural language processing. Students work with SQL, NoSQL databases, Hadoop ecosystem, Spark, Kafka etc.

Data Science 52

Data Science Certification Education Data Lake 52

AltexSoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data Architect 87

Data Architect Certification Generalist Big Data 87

Knowledge Hut

DECEMBER 27, 2023

Software developers play an important role in data collection and analysis to ensure the company's security. Research and Development Private and government companies in Singapore hire software developers to conduct research and development to create innovative products and improve users' experience.

Medical 68

Medical Programming Language Amazon Web Services Entertainment 68

ProjectPro

DECEMBER 9, 2021

Medical Image Synthesis using GANs for Pulmonary Chest X-rays As the field of AI is progressing at the speed of light, dedicated research has been going to find novel ways to exploit the sophisticated deep learning models in the field of medical science. It was a long and tedious process and often erroneous as well.

Project 52

Project Medical Datasets Deep Learning 52

U-Next

JULY 4, 2022

Therefore the demand for data scientists and other data science professionals is increasing. Anyone who desires to pursue a data scientist career path should have deep knowledge of mathematics, statistics, deep learning, artificial intelligence, machine learning, etc. Why is Data Science Important?

Data Science 40

Data Science Data Architect Data Mining Recruitment 40

ProjectPro

DECEMBER 16, 2021

An essential skill for both the job roles is familiarity with various machine learning and deep learning algorithms.

Machine Learning 52

Machine Learning Engineering Pipeline-centric Database-centric 52

ProjectPro

OCTOBER 5, 2018

LinkedIn’s open-source project Tony aims at scaling and managing deep learning jobs in Tensorflow using YARN scheduler in Hadoop.Tony uses YARN’s resource and task scheduling system to run Tensorflow jobs on a Hadoop cluster. Milwaukee based maker of mining equipment Count Komatsu Mining Corp.

Hadoop 40

Hadoop BI MongoDB Big Data 40

U-Next

SEPTEMBER 27, 2022

Artificial intelligence Product Management focuses on enhancing, improving, or creating products using AI, deep learning, or machine learning. . AI project managers should approach AI initiatives differently by identifying and vetting business opportunities based on data. How AI and ML are Changing Product Management?

Management 40

Management IT Machine Learning Algorithm 40

ProjectPro

JULY 10, 2021

Upskill yourself for your dream job with industry-level big data projects with source code Time Series Analysis in R or Python Python and R are both great programming languages for performing time series. You can use numerous functions like manipulate, create, and plot to plot time series data in R.

Project 40

Project Banking Datasets Python 40

Knowledge Hut

JANUARY 11, 2024

Weather forecasts begin with a large amount of data collection related to the current environmental conditions (wind speed, temperature, humidity, clouds captured at a specific location and time) using sensors on IoT (Internet of Things) devices and satellite imagery.

Data Science 72

Data Science Transportation Hospitality Banking 72

Knowledge Hut

NOVEMBER 28, 2023

Not only will it help with your data science knowledge, but it will also improve your resume. Who is a Data Scientist? Data scientists are experts who find, collect and evaluate big data collections. Computer science, mathematics, and statistics training are often required for data science positions.

Data Science 52

Data Science Telecommunication Recruitment Finance 52

ProjectPro

JANUARY 31, 2023

Data scientists and machine learning engineers often come across this scenario where the data for their project is not sufficient for training a machine learning model, often resulting in poor performance. Table of Contents What is Data Augmentation in Deep Learning?

Deep Learning 52

Deep Learning Datasets Machine Learning Data 52

Knowledge Hut

DECEMBER 26, 2023

However, as we progressed, data became complicated, more unstructured, or, in most cases, semi-structured. This mainly happened because data that is collected in recent times is vast and the source of collection of such data is varied, for example, data collected from text files, financial documents, multimedia data, sensors, etc.

Data Engineering 76

Data Engineering Data Engineer Engineering Pipeline-centric 76

Knowledge Hut

NOVEMBER 18, 2023

Companies are actively training machine learning models to search patterns from IoT devices and make forecasts in several fields like: Data quality analysis Behavioral analysis Service quality Edge computing Smart Healthcare Resource consumption Neural networks Attack detection and prediction Distributed deep learning, etc.

Machine Learning 52

Machine Learning Transportation Healthcare Medical 52

ProjectPro

JUNE 13, 2018

Project Idea 3: Build an ETL Data Pipeline on AWS EMR Cluster This project helps you build a fully working scalable, reliable, and secure AWS EMR complex data pipeline from scratch that provides support for all data stages from data collection to data analysis and visualization. Start working on them today!

AWS 52

AWS Certification Amazon Web Services Cloud Computing 52