Knowledge Hut

JANUARY 18, 2024

Data scientists are thought leaders who apply their expertise in statistics and machine learning to extract useful information from data. They can work with various tools to analyze large datasets, including social media posts, medical records, transactional data, and more.

Programming Language 98

Programming Language Data Science Programming Java 98

Knowledge Hut

JUNE 4, 2024

In addition, data scientists use machine learning algorithms that analyze large amounts of data at high speeds to make predictions about future events based on historical patterns observed from past events (this is known as predictive modeling in pharma data science).

Pharmaceutical 52

Pharmaceutical Data Science Medical Deep Learning 52

Knowledge Hut

DECEMBER 27, 2023

Overnight, data science 's potential exploded. All thanks to scholars who combined statistics and computer science for data analysis, quick processing, inexpensive storage, big data, and other factors. To remove meaningful data from enormous amounts of data, processing of data is necessary.

Data Science 52

Data Science Medical Manufacturing Transportation 52

Edureka

AUGUST 29, 2024

To further comprehend the dataset, do the exploratory data analysis. The proper model for your data must be chosen within the fifth step. Use the training dataset to coach the model when it’s been chosen. Use the testing dataset to assess the model’s performance after training.

Data Science 40

Data Science Medical Algorithm Datasets 40

RandomTrees

MARCH 22, 2024

Practical Applications The ability to split delimited string columns into rows opens up numerous possibilities for data analysis and manipulation. Here are some practical applications: Skill Analysis : In the example above, splitting employee skills allows for more granular analysis.

Media 52

Media Healthcare Datasets Electronics 52

Knowledge Hut

APRIL 23, 2024

Big Data vs Traditional Data The difference between Big Data vs Traditional Data heavily relies on the tools, plans, processes, and objectives used within, which derive useful insights from the datasets. Let us now take a detailed look into how Big Data differs from Traditional relational databases.

Big Data 52

Big Data Relational Database Data Datasets 52

Knowledge Hut

JANUARY 18, 2024

Data scientists are thought leaders who apply their expertise in statistics and machine learning to extract useful information from data. They can work with various tools to analyze large datasets, including social media posts, medical records, transactional data, and more.

Programming Language 75

Programming Language Data Science Programming Java 75

Knowledge Hut

NOVEMBER 27, 2023

Understanding what defines data in the modern world is the first step toward the Data Science self-learning path. There is a much broader spectrum of things out there which can be classified as data. For some, it does not matter what the data is about. For some of us are more inclined towards a particular domain of data.

Data Science 97

Data Science Healthcare Machine Learning Algorithm 97

RandomTrees

AUGUST 9, 2024

Predictive Modeling and Virtual Screening Machine learning models trained on vast datasets can predict the biological activity and safety profiles of new compounds. Data Quality and Availability For accurate predictions to be made with reliable results, training data used for AI models needs to be of good quality.

Pharmaceutical 52

Pharmaceutical Healthcare Algorithm Machine Learning 52

Edureka

JUNE 7, 2024

Industry Applications of Predictive AI While both involve machine learning and data analysis, they differ in their core objectives and approaches. paintings, songs, code) Historical data relevant to the prediction task (e.g., Real-world Applications of Generative AI The Power of Predictive AI How Does Predictive AI Work?

Deep Learning 114

Deep Learning Media Manufacturing Algorithm 114

Knowledge Hut

JULY 28, 2023

By learning from historical data, machine learning algorithms autonomously detect deviations, enabling timely risk mitigation. Machine learning offers scalability and efficiency, processing large datasets quickly. It is a unique occurrence or trend that sticks out among most available data. Types of Anomalies 1.

Machine Learning 98

Machine Learning Algorithm Datasets Deep Learning 98

Knowledge Hut

NOVEMBER 16, 2023

What distinguishes Generative AI is its capacity to learn from current data and then generate entirely new and realistic outputs that reflect the essence of what it has learned. Thus, AI is able to analyze medical images like X-rays, MRIs, and CT scans to detect anomalies. Here are some of the best generative ai use cases to study: 1.

Medical 52

Medical Healthcare Hospitality Entertainment 52

Knowledge Hut

NOVEMBER 18, 2023

In artificial intelligence , an AI model, including Open AI models, refers to a mathematical formulation that processes data, discovers patterns, makes predicaments, and decisions in AI systems. They are very good at activities such as object recognition, facial recognition, and even detecting anomalies in medical photos.

Medical 52

Medical Machine Learning Algorithm Datasets 52

ProjectPro

OCTOBER 14, 2021

The publicly available Kaggle dataset of the Tesla Stock Data from 2010 to 2020 can be used to implement this project. Maybe you could even consider gathering more data from the source of the Tesla Stock dataset. You could undertake this exercise using the publicly available Cervical Cancer Risk Classification Dataset.

Machine Learning 52

Machine Learning Project Insurance Medical 52

Monte Carlo

OCTOBER 5, 2023

Google BigQuery Clean Rooms Google BigQuery Clean Rooms differentiates itself with its serverless approach to data analysis, emphasizing scalability without the overhead of infrastructure management. This makes Databricks especially attractive for organizations eyeing an end-to-end analytics solution from ETL to AI modeling.

Raw Data 52

Raw Data Medical Manufacturing AWS 52

Towards Data Science

AUGUST 29, 2023

Today, we will delve into the intricacies the problem of missing data , discover the different types of missing data we may find in the wild, and explore how we can identify and mark missing values in real-world datasets. Image by Author. Let’s consider an example. Image by Author. Image by Author. Image by Author.

Datasets 101

Datasets Machine Learning Data Data Science 101

AltexSoft

MAY 12, 2022

Yet, its toolset for for audio analysis is not very sophisticated. For further steps, you need to load your dataset to Python or switch to a platform specifically focusing on analysis and/or machine learning. Labeling of audio data in Audacity. Source: Towards Data Science. Audio data analysis steps.

Machine Learning 122

Machine Learning Building Deep Learning Healthcare 122

U-Next

AUGUST 11, 2022

Signal Processing Techniques : These involve changing or manipulating data such that we can see things in it that aren’t visible through direct observation. . Also, experience is required in software development, data processes, and cloud platforms. . is highly beneficial. Industries That Work With AI.

Medical 52

Medical Computer Science Scala Machine Learning 52

Edureka

AUGUST 2, 2023

They are responsible for processing, cleaning, and transforming raw data into a structured and usable format for further analysis or integration into databases or data systems. Their efforts make ensuring that data is accurate, dependable, and consistent, laying the groundwork for data analysis and decision-making.

Data Process 52

Data Process Process Data Cleanse Data Mining 52

Knowledge Hut

MAY 3, 2024

Memory Management RDD is used by Spark to store data in a distributed fashion (i.e., Spark's primary data structure is Resilient Distributed Datasets (RDD). Each dataset in an RDD is split into logical divisions that may be calculated on several cluster nodes. Looking to dive into the world of data science?

Kafka 98

Kafka Scala Java Amazon Web Services 98

Edureka

JANUARY 18, 2024

Need for Data Science Data scientists play a vital part in improving decision-making, increasing business efficiency, and turning massive volumes of data into actionable insights. They manage intricate datasets, create forecasting models, and examine consumer behavior to deliver tailored experiences.

Data Science 40

Data Science Deep Learning Machine Learning NoSQL 40

Knowledge Hut

DECEMBER 26, 2023

Data Science is the study of extracting insights from massive amounts of data using various scientific approaches, processes and algorithms. The development of big data, data analysis, and quantitative statistics has given rise to the term "data science." Data science is now more important than ever.

Data Science 52

Data Science Unstructured Data Medical Healthcare 52

Knowledge Hut

OCTOBER 27, 2023

Power BI projects cover a wide range of industries and data analysis scenarios, allowing you to gain experience in different contexts. Since we've all been students, working with a dataset you're familiar with makes it easier to learn. Start by getting a dataset and splitting it into different performance parts.

BI 52

BI Project Datasets Healthcare 52

Knowledge Hut

APRIL 23, 2024

Go for the best Big Data courses and work on ral-life projects with actual datasets. Big Data Use Cases in Industries You can go through this section and explore big data applications across multiple industries. Real-time Data Processing and Decision-making: It is made possible by cloud-based big data analytics tools.

Big Data 52

Big Data Recruitment Retail Transportation 52

Knowledge Hut

DECEMBER 29, 2023

Learning Outcomes: This data concentration will provide you a solid grounding in mathematics and statistics as well as extensive experience with computing and data analysis. Possible Careers: Data analyst Marketing analyst Data mining analyst Data engineer Quantitative analyst 3.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

ProjectPro

DECEMBER 17, 2021

By implementing various machine learning algorithms over a dataset of dates, store, item information, promotions, and unit sales, you will be using time forecasting methods to predict the sales. Two Sigma Investments is a firm implementing data science tools over datasets for predicting financial trade since 2001.

Data Science 52

Data Science Medical Machine Learning Datasets 52

ProjectPro

DECEMBER 14, 2021

Customer Churn Analysis 2. Product Sales Data Analysis 3. Marketing Campaign Insights Analysis 4. Financial Performance Analysis 5. Healthcare Sales Analysis Intermediate-Level Power BI Project Ideas 6. Loan Application Analysis 10. Airport Authority Data Analysis 12.

BI 52

BI Project Business Intelligence Datasets 52

Knowledge Hut

JULY 26, 2023

They enable organizations to use data as an asset, resulting in greater operational efficiency, improved decision-making, and an edge over competitors in today's data-driven corporate world. Database applications also help in data-driven decision-making by providing data analysis and reporting tools.

Database 52

Database NoSQL Telecommunication MongoDB 52

Knowledge Hut

JUNE 30, 2023

DBMS plays a very crucial role in today’s modern information systems, serving as a base for a plethora of applications ranging from some simple record-keeping applications to complex data analysis programs. The overhead is more noticeable in cases of complex queries, large datasets, or high concurrency.

MySQL 52

MySQL Medical Relational Database Database 52

ProjectPro

FEBRUARY 18, 2022

Supports data migration to a data warehouse from existing systems, etc. 15 ETL Projects Ideas For Big Data Professionals Below is a list of 15 ETL projects ideas curated for big data experts, divided into various levels- beginners, intermediate and advanced. Load the dataset into HDFS storage after downloading it.

Project 52

Project AWS Kafka Healthcare 52

ProjectPro

DECEMBER 10, 2021

Business Intelligence in Healthcare: It has become common to use patients’ data to better diagnose diseases. Along with that, deep learning algorithms and image processing methods are also used over medical reports to support a patient’s treatment better. influence the land prices. to estimate the costs.

Business Intelligence 52

Business Intelligence Coding Project BI 52

ProjectPro

JANUARY 20, 2022

C++ and Java); capacity to work with large, complex datasets; deep knowledge of machine learning evaluation measures; excellent analytical and problem-solving skills; meticulous attention to detail; good writing and verbal communication skills, since machine learning engineers often need to communicate the project details to the client, etc.;

Machine Learning 52

Machine Learning Deep Learning Algorithm Programming Language 52

AltexSoft

FEBRUARY 11, 2023

The former uses data to generate insights and help businesses make better decisions, while the latter designs data frameworks, flows, standards, and policies that facilitate effective data analysis. But first, all candidates must be accredited by Arcitura as Big Data professionals.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Edureka

APRIL 17, 2023

Here are a few project ideas that are suitable for beginners: Analyzing a dataset to identify trends and patterns: One of the most common projects for beginners is to analyze a dataset to identify trends and patterns. Intermediate data analytics projects can be challenging but rewarding.

Portfolio 40

Portfolio Data Analytics Project Data Mining 40

ProjectPro

FEBRUARY 28, 2022

Facial Expression Recognition Technology is used for medical research in autism therapy and deepfake detection. Before we jump on to the code, allow us to give you a fair idea of the dataset. The test dataset has 28,709 samples, and the training dataset has 3,589 samples. We will use this to manipulate data.

Coding 52

Coding Project Deep Learning Datasets 52

Knowledge Hut

NOVEMBER 2, 2023

Image Recognition: Machine learning models can be specifically programmed to identify or categorize photos, thus opening doors to a wide range of tasks such as object detection, facial recognition, medical image analysis, and more. Some of the most common applications of machine learning include: c.

Machine Learning 52

Machine Learning Deep Learning Utilities Medical 52

Knowledge Hut

JANUARY 18, 2024

The Internet of Things (IoT) is an expanding network of interconnected devices, sensors, and systems that collect and exchange data. These devices can range from everyday objects, such as smart thermostats, refrigerators, and light bulbs, to more complex devices, such as industrial machinery and medical equipment.

Data Analytics 52

Data Analytics Healthcare Machine Learning Algorithm 52