Knowledge Hut

OCTOBER 27, 2023

This would help you lead teams, build predictive models, identify trends, and provide recommendations to management based on findings from the data analysed using advanced statistics, machine learning algorithms, mathematical models, and techniques. Medical diagnosis is a fascinating data analytics project idea for final year students.

Data Analytics 52

Data Analytics Coding Project Medical 52

Knowledge Hut

MAY 2, 2024

It means a computer or a system designed with machine learning will identify, analyse and change accordingly and give the expected output when it comes across a new pattern of data, without any need of humans. It means computers learn and there are many concepts, methods, algorithms and processes involved in making this happen.

Machine Learning 98

Machine Learning IT Deep Learning Algorithm 98

RandomTrees

JANUARY 29, 2024

The Importance of Data in Computer Vision Diving into the realm of artificial intelligence, computer vision stands out as a dynamic subfield, immersing machines in the art of deciphering and comprehending the visual tapestry that surrounds us. What Is Synthetic Data? What Is Synthetic Data?

Medical 52

Medical Retail Entertainment Datasets 52

Knowledge Hut

APRIL 24, 2024

Personality Analysis System Personality Analysis System project is an exciting software engineering project that requires a good understanding of natural language processing, AI algorithms, and data analysis. The system is created to help patients attain health goals and improve their overall wellbeing.

Software Engineer 52

Software Engineer Software Engineering Coding Project 52

Knowledge Hut

OCTOBER 27, 2023

Personality Analysis System Personality Analysis System project is an exciting software engineering project that requires a good understanding of natural language processing, AI algorithms, and data analysis. The system is created to help patients attain health goals and improve their overall wellbeing.

Software Engineer 98

Software Engineer Software Engineering Coding Project 98

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. Healthcare: Medical Science involves a huge deal of technology, from medical research to operational equipment production.

Medical 52

Medical Computer Science Scala Machine Learning 52

AltexSoft

JUNE 14, 2021

For example, these companies use customer data from wearable and smart devices to monitor the user’s lifestyle. If the user’s data indicate the emergence of a serious medical condition, they can send the customer content designed to change their detrimental lifestyle or recommend immediate treatment. Personalized communications.

Insurance 88

Insurance Medical Machine Learning Algorithm 88

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

MARCH 26, 2024

Predictive systems and machine learning algorithms present results in an understandable way. Medical Anesthesiologist In Canada, a medical anesthesiologist would be a critical part of the healthcare system. As medical anesthesiologists, they perform anesthesia on patients undergoing surgery or other medical operations.

Medical 52

Medical BI Programming Language Healthcare 52

Knowledge Hut

JULY 26, 2023

Biases can arise from various factors such as sample selection methods, survey design flaws, or inherent biases in data collection processes. Bugs in Application: Errors or bugs in data collection, storage, and processing applications can compromise the accuracy of the data.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

Knowledge Hut

JULY 28, 2023

Parameters Machine Learning (ML) Deep Learning (DL) Feature Engineering ML algorithms rely on explicit feature extraction and engineering, where human experts define relevant features for the model. DL models automatically learn features from raw data, eliminating the need for explicit feature engineering. What is Machine Learning?

Deep Learning 52

Deep Learning Machine Learning Unstructured Data Algorithm 52

Knowledge Hut

MAY 31, 2023

These projects typically involve a collaborative team of software developers, data scientists, machine learning engineers, and subject matter experts. The development process may include tasks such as building and training machine learning models, data collection and cleaning, and testing and optimizing the final product.

Project 96

Project Healthcare Deep Learning Transportation 96

Knowledge Hut

DECEMBER 21, 2023

Neural network based multi-objective evolutionary algorithm for dynamic workflow scheduling in cloud computing Cloud computing research topics are getting wider traction in the Cloud Computing field. The NN-MOEA algorithm utilizes neural networks to optimize multiple objectives, such as planning, cost, and resource utilization.

Cloud Computing 52

Cloud Computing Cloud Algorithm Healthcare 52

Towards Data Science

AUGUST 29, 2023

The Problem of Missing Data Missing Data is an interesting data imperfection since it may arise naturally due to the nature of the domain, or be inadvertently created during data, collection, transmission, or processing. Unfortunately, the process of handling missing data is far from being over.

Datasets 106

Datasets Machine Learning Data Data Science 106

AltexSoft

MAY 12, 2022

Aiming at understanding sound data, it applies a range of technologies, including state-of-the-art deep learning algorithms. Another application of musical audio analysis is genre classification: Say, Spotify runs its proprietary algorithm to group tracks into categories (their database holds more than 5,000 genres ).

Machine Learning 122

Machine Learning Building Datasets Healthcare 122

Edureka

SEPTEMBER 11, 2023

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. It accomplishes this through complex algorithms and neural network architectures, and it has vast potential across many fields.

Algorithm 52

Algorithm Entertainment Healthcare Deep Learning 52

Knowledge Hut

DECEMBER 29, 2023

Learning Outcomes: You will understand the processes and technology necessary to operate large data warehouses. Engineering and problem-solving abilities based on Big Data solutions may also be taught. Learning Outcomes: Acquire the skills necessary to assess models developed from data.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

U-Next

AUGUST 18, 2022

Data Science may combine arithmetic, business savvy, technologies, algorithm, and pattern recognition approaches. These factors all work together to help us uncover underlying patterns or observations in raw data that can be extremely useful when making important business choices. Theaters, channels, etc.,

Unstructured Data 40

Unstructured Data Medical Data Science Business Intelligence 40

ProjectPro

DECEMBER 9, 2021

The challenging aspect of this problem is the fact that the model is expected to learn from the small set of labelled data and utilize that knowledge to classify the unlabelled data as well as generalize on the unseen data. A mix of both supervised and unsupervised algorithms is nothing but GANs essentially.

Project 52

Project Medical Datasets Deep Learning 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

Knowledge Hut

NOVEMBER 15, 2023

Example 7: Individual with experience in statistical analysis and the ability to work on a wide array of data systems. Aiming to use my strong data science skills in a dynamic environment to enhance data collection procedures to positively impact the organization.

Finance 98

Finance Business Intelligence Database-centric Certification 98

Snowflake

DECEMBER 6, 2023

This issue, and similar issues I’ve watched loved ones manage in the past, piqued my interest in healthcare data as a whole, particularly whole-person data. Healthcare data can and should serve as a holistic, actionable tool that empowers caregivers to make informed decisions in real time. Not for lack of caring!

Healthcare 94

Healthcare Aggregated Data Medical Data 94

ProjectPro

JUNE 2, 2015

May 26, Wall Street Journal: “Big Data Brings Relief to Allergy Medicine Supply Chains” Bayer AG a manufacturer of the allergy drug Claritin is using big data to get ahead of the seasonal trends. May 6, UK IT News V3.co.uk times better than those with ad-hoc or decentralized teams.

Big Data 40

Big Data Hadoop Banking Retail 40

ProjectPro

JANUARY 31, 2023

With the introduction of advanced machine learning algorithms , underwriters are bringing in more data for better risk management and providing premium pricing targeted to the customer. This explains why the insurance sector is acquiring an increasing amount of data.

Insurance 75

Insurance Machine Learning Project Algorithm 75

Knowledge Hut

DECEMBER 7, 2023

AI has a plethora of uses, including chatbots, recommendation engines, autonomous cars, and even medical diagnosis. Data Collection: Gather the necessary data that the AI model will use for learning and making predictions. The quality and quantity of data are crucial to the model's performance.

Machine Learning 52

Machine Learning Algorithm Medical Government 52

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. Healthcare: Generative AI has also been instrumental in revolutionizing the healthcare industry by creating synthetic medical images, such as X-rays, MRI Scans, or CT scans.

Medical 52

Medical Datasets Healthcare Deep Learning 52

AltexSoft

JUNE 16, 2022

Various machine learning models — whether these are simpler algorithms like decision trees or state-of-the-art neural networks — need a certain metric or multiple metrics to evaluate their performance. The first ones involve data collection and preparation to ensure it’s of high quality and fits the task. What does it show?

Machine Learning 91

Machine Learning Hospitality Retail Medical 91

AltexSoft

APRIL 27, 2023

This phase involves numerous clinical trial systems and largely relies on clinical data management practices to organize information generated during medical research. How could data analytics boost this process? Obviously, precision medicine requires a large amount of data and is enabled by advanced ML models.

Data Analytics 52

Data Analytics Pharmaceutical Medical Manufacturing 52

ProjectPro

JANUARY 31, 2023

Overfitting occurs when an ML model yields accurate results for training examples but not for unseen data. It can be prevented in many ways, for instance, by choosing another algorithm, optimizing the hyperparameters, and changing the model architecture. Data Augmentation Techniques How to do Data Augmentation in Keras?

Deep Learning 52

Deep Learning Datasets Machine Learning Data 52

Edureka

AUGUST 2, 2023

What does a Data Processing Analysts do ? A data processing analyst’s job description includes a variety of duties that are essential to efficient data management. They must be well-versed in both the data sources and the data extraction procedures.

Data Process 52

Data Process Process Data Cleanse Data Mining 52

U-Next

SEPTEMBER 22, 2022

Increasing numbers of businesses are using predictive analytics techniques for everything from fraud detection to medical diagnosis by 2022, resulting in nearly 11 billion dollars in annual revenue. . Understanding The Types Of Predictive Modeling Algorithms . What Are Predictive Models? . Types Of Predictive Models .

Hospitality 40

Hospitality Algorithm Machine Learning Banking 40

ProjectPro

NOVEMBER 18, 2021

Analysis of Big data also helps them understand new item sales, make decisions on discontinuing products, and the performance of brands. 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

ProjectPro

AUGUST 16, 2021

FAQs on Machine Learning Projects for Resume Machine Learning Projects for Resume - A Must-Have to Get Hired in 2021 Machine Learning and Data Science have been on the rise in the latter part of the last decade. Quite similar to classification is clustering but with the minor difference of working with unlabelled data.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

U-Next

AUGUST 26, 2022

Data Analytics Illustration. Organizations may alter their company and environment electronically via the use of Data Analytics, rendering them more creative and forward in their judgment call. Through the use of advanced equipment, medications, etc., Components of Business Analytics/Data Analytics. Predictive Analytics.

Data Analytics 40

Data Analytics Insurance Transportation Healthcare 40

AltexSoft

MARCH 22, 2022

Synthetic data maybe way cheaper to generate than to collect from real world events, if you don’t have a proper dataset. The same with the time factor: synthesizing can take days to process, while real data collection and processing might take weeks, months, or even years for the longitude projects. Exploring rare data.

Machine Learning 52

Machine Learning IT Medical Insurance 52

Cloudera

NOVEMBER 9, 2018

Reflect back on the recent SingHealth breach in Singapore, in which non-medical personal data of 1.5 Although the hackers did not amend the compromised records, the stolen data – such as patients’ names, national identification numbers, and home addresses – could have been sold to the dark web.

Machine Learning 56

Machine Learning Banking Government Media 56

ProjectPro

MARCH 17, 2014

Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Image Credit: twitter.com There are hundreds of companies like Facebook, Twitter, and LinkedIn generating yottabytes of data. It is the data that supports the rendering of video in 3D movies.

Hadoop 52

Hadoop Big Data Unstructured Data Retail 52