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 Healthcare 98

Knowledge Hut

JANUARY 18, 2024

To make sure that you can pick the right tool for your job, this article will look at some of the most popular data science programming languages used by scientists today. The choice becomes easy when you are aware your data science career path. What Is Data Science?

Programming Language 75

Programming Language Data Science Programming Scala 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. How would one know what to sell and to which customers, based on data? This is where Data Science comes into the picture.

Data Science 97

Data Science Healthcare Machine Learning Telecommunication 97

Knowledge Hut

JANUARY 11, 2024

I recommend checking out Data Science With Python course syllabus to start your data science journey. 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 98

Data Science Transportation Hospitality Banking 98

ProjectPro

FEBRUARY 5, 2021

Image classification , a subfield of computer vision helps in processing and classifying objects based on trained algorithms. Nonetheless, it is an exciting and growing field and there can't be a better way to learn the basics of image classification than to classify images in the MNIST dataset. instead of handwritten digits.

Datasets 40

Datasets Deep Learning Medical Algorithm 40

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.

Datasets 104

Datasets Machine Learning Data Data Science 104

Knowledge Hut

OCTOBER 30, 2023

Medical insurance fraud detection Medical Insurance Fraud Detection is a special data science approach for predicting fraud in the medical insurance market that makes use of real-time analysis and classification algorithms. Source Code: Medical Insurance Fraud Detection 4. Enroll now!

Big Data 52

Big Data Coding Project Medical 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

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 Retail Recruitment Transportation 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. AI models are like chefs following a cookbook, continuously improving with each new data ingredient they digest. What Makes an AI Model Work?

Medical 52

Medical Machine Learning Datasets Algorithm 52

Edureka

JANUARY 18, 2024

For those looking to start learning in 2024, here is a data science roadmap to follow. What is Data Science? Data science is the study of data to extract knowledge and insights from structured and unstructured data using scientific methods, processes, and algorithms.

Data Science 40

Data Science Deep Learning NoSQL Machine Learning 40

AltexSoft

MAY 12, 2022

Audio analysis is a process of transforming, exploring, and interpreting audio signals recorded by digital devices. 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.

Machine Learning 122

Machine Learning Building Datasets Healthcare 122

Knowledge Hut

DECEMBER 26, 2023

What i s Data Science and Why is it Important? 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 52

Data Science Unstructured Data Medical Healthcare 52

Knowledge Hut

FEBRUARY 28, 2024

To analyze big data, we require sophisticated software and dedicated databases. It involves extracting valuable insights from these massive datasets to gain a competitive advantage. Once we manage to harness it correctly, the future of big data is undeniable. Think about how big data fits into your overall business objectives.

Big Data 52

Big Data Cloud Storage Healthcare SQL 52

U-Next

AUGUST 11, 2022

It’s a study of Computer Algorithms, which helps self-improvement through experiences. It builds a model based on Sample data and is designed to make predictions and decisions without being programmed for it. Also, experience is required in software development, data processes, and cloud platforms. .

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

ProjectPro

DECEMBER 17, 2021

Additionally, solving a collection of take-home data science challenges is a good way of learning data science as it is relatively more engaging than other learning methods. So, continue reading this blog as we have prepared an exciting list of data science take-home challenges for you.

Data Science 52

Data Science Medical Datasets Machine Learning 52

Knowledge Hut

DECEMBER 28, 2023

Amazon AI Services provides potent data analysis, forecasting, and anomaly detection capabilities. Ease of Use: A high-level API enables developers to rapidly construct and train ML models without being concerned with algorithmic details.

Amazon Web Services 64

Amazon Web Services Machine Learning Medical Deep Learning 64

Knowledge Hut

MAY 2, 2024

It achieves this using abstraction layer called RDD (Resilient Distributed Datasets) in combination with DAG, which is built to handle failures of tasks or even node failures. Apache Spark has a framework for both i.e. Spark Streaming to handle Streaming using micro batches and DStreams and Structured Streaming using Datasets and Data frames.

Scala 52

Scala Hospitality Healthcare Retail 52

ProjectPro

JANUARY 20, 2022

Machine learning, a subdomain of artificial intelligence, uses algorithms and data to imitate how humans learn and steadily improve. Machine learning algorithms leverage existing data as input to forecast the expected output. help you create machine learning algorithms without heavy coding.

Machine Learning 52

Machine Learning Deep Learning Algorithm Programming Language 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

JANUARY 18, 2024

As data analytics professionals navigate this rapidly evolving landscape, they must adapt and develop new skills to stay relevant. Fortunately, short term Data Science courses can help you take the first step into this field and work your way upwards. Gone are the days of simply collecting and organizing data.

Data Analytics 52

Data Analytics Healthcare Machine Learning Algorithm 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. to estimate the costs.

Business Intelligence 52

Business Intelligence Coding Project BI 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

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

Knowledge Hut

DECEMBER 21, 2023

A machine learning engineer is a professional who develops and refines the algorithms which are further used by machine learning tools. They have to choose the most appropriate datasets for analysis before proceeding with the modeling. He performs data visualization to gain deeper insights. Read on to find out.

Machine Learning 52

Machine Learning Engineering Computer Science Portfolio 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. There are three data files, namely driver.csv, ping.csv, and test.csv.

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. Datasets like Google Local, Amazon product reviews, MovieLens, Goodreads, NES, Librarything are preferable for creating recommendation engines using machine learning models. Let the FOMO kick in!

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

ProjectPro

OCTOBER 27, 2021

The huge volumes of financial data have helped the finance industry streamline processes, reduce investment risks, and optimize investment portfolios for clients and companies. There is a wide range of open-source machine learning algorithms and tools that fit exceptionally with financial data.

Finance 52

Finance Machine Learning Project Banking 52

U-Next

OCTOBER 27, 2022

AI is a branch of computer science that deals with making computers intelligent by writing algorithms with human-like characteristics like learning and problem-solving. AI clouds have been used in many domains, such as self-driving cars, medical diagnosis, and speech recognition. The most popular methods are: .

Cloud Computing 40

Cloud Computing Cloud IT Algorithm 40

U-Next

OCTOBER 16, 2022

AI is a branch of computer science that deals with making computers intelligent by writing algorithms with human-like characteristics like learning and problem-solving. AI clouds have been used in many domains, such as self-driving cars, medical diagnosis, and speech recognition. The most popular methods are: .

Cloud Computing 40

Cloud Computing Cloud Algorithm Machine Learning 40

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

ProjectPro

FEBRUARY 28, 2022

Facial Expression Recognition Technology is used for medical research in autism therapy and deepfake detection. Deep Belief Network: This algorithm requires faces to be perfectly aligned in an image and uses the greedy approach in different layers to solve the problem of facial expression recognition.

Coding 52

Coding Project Deep 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

U-Next

SEPTEMBER 23, 2022

Data has become one of the biggest assets for businesses in the day and age that we live in. Having access to more data will allow Data Scientists to generate better insights. As a result of data analysis, they have been able to discover patterns that were unknown before. Artificial Intelligence .

Machine Learning 40

Machine Learning Data Science Manufacturing Healthcare 40

ProjectPro

FEBRUARY 1, 2022

A data science case study is an in-depth, detailed examination of a particular case (or cases) within a real-world context. Data Exploration — Talk about the exploratory data analysis you performed for the initial investigation of your data to spot patterns and anomalies.

Data Science 52

Data Science Datasets Banking Machine Learning 52

ProjectPro

NOVEMBER 11, 2021

The Open Source Computer Vision Library contains more than 2500 real-time computer vision algorithms , detailed documentation, and sample code. This project allows you to implement some of the complex CV algorithms and concepts using the OpenCV library. These three subfolders are seen in both the training and testing data.

Programming Language 52

Programming Language Deep Learning Machine Learning Algorithm 52