Knowledge Hut

NOVEMBER 27, 2023

For instance, sales of a company, medical records of a patient, stock market records, tweets, Netflix’s list of programs, audio files on Spotify, log files of a self-driven car, your food bill from Zomato, and your screen time on Instagram. It is also important to know the underlying math to understand the various ML algorithms.

Data Science 97

Data Science Healthcare Machine Learning Algorithm 97

ProjectPro

SEPTEMBER 6, 2021

Classification algorithms can effectively label the events as fraudulent or suspected to eliminate the chances of fraud. Algorithmic Trading – Sentiment Analysis Stock market variations depend on several factors, with the sentiments of people being one of the crucial factors for stock price prediction.

Machine Learning 52

Machine Learning Retail Healthcare Algorithm 52

Edureka

APRIL 24, 2024

Recognising Patterns: The algorithm then recognises patterns and relationships between various data sets based on all the retrieved training data. Getting Trained on Data: To perform any task, first, the generative AI models need to be trained on massive datasets of existing content.

Pharmaceutical 52

Pharmaceutical Manufacturing Algorithm Datasets 52

AltexSoft

AUGUST 27, 2022

That’s why, for now, smart algorithms see fewer restrictions and wider adoption in the drug discovery phase that happens prior to tests on people. When applied to drug discovery, smart algorithms have already proved their ability. Among deep learning algorithms employed for de novo design are.

Medical 52

Medical Deep Learning Algorithm Machine Learning 52

Cloudera

SEPTEMBER 7, 2023

With the emergence of new creative AI algorithms like large language models (LLM) fromOpenAI’s ChatGPT, Google’s Bard, Meta’s LLaMa, and Bloomberg’s BloombergGPT—awareness, interest and adoption of AI use cases across industries is at an all time high. Third , there’s the “black-box” element: viz., Practice real-time risk management.

Insurance 82

Insurance Finance Portfolio Government 82

Knowledge Hut

JULY 26, 2023

Robust data cleansing and outlier detection techniques, such as statistical methods or machine learning algorithms, can help identify and handle outliers effectively. Without data veracity, research studies may yield unreliable or misleading results, potentially compromising patient care and medical advancements.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

Knowledge Hut

DECEMBER 26, 2023

C++ This programming language can assist you in creating software for medical equipment that maximizes hardware capabilities. Algorithms and Data Structures Algorithms explain the steps necessary to execute tasks, whereas data structures are various organizational strategies for storing information in a database.

Software Engineering 52

Software Engineering Software Engineer Engineering Programming Language 52

ProjectPro

DECEMBER 17, 2021

Furthermore, solving difficult problems in data science not only prepares you for the future but also teaches you the latest tools, techniques, algorithms and packages that have been introduced in the industry. With Bitcoin witnessing initial success, many investors consider cryptocurrency as an asset for their portfolio.

Data Science 52

Data Science Medical Machine Learning Datasets 52

Knowledge Hut

OCTOBER 27, 2023

No matter if you're just a beginner, intermediate, or advanced Power BI user, you can build up your portfolio by doing these projects. Additionally, showcasing these projects in your portfolio can demonstrate your ability to deliver actionable insights and drive data-informed decision-making for potential employers or clients.

BI 52

BI Project Datasets Healthcare 52

Knowledge Hut

APRIL 23, 2024

Big Data Use Cases in Healthcare Precision Medicine: Big data analytics makes it possible to analyze patient genetic data, medical records, and treatment results to create individualized treatment plans and precision medicine strategies. AWS (Amazon Web Services) offers a range of services and tools for managing and analyzing big data.

Big Data 52

Big Data Recruitment Retail Transportation 52

ProjectPro

APRIL 6, 2021

Machines learning algorithms on the other hand, while classifying images face these challenges, and Image Classification becomes an exciting problem for us to solve. Yann Le Cunn’s Convolutional Neural Network (something we’ll explore later in the article) still remains the backbone of computer vision algorithms.

Deep Learning 40

Deep Learning Python Medical Algorithm 40

ProjectPro

DECEMBER 10, 2021

Along with that, deep learning algorithms and image processing methods are also used over medical reports to support a patient’s treatment better. Additionally, use different machine learning algorithms like linear regression, decision trees, random forests, etc. to estimate the costs.

Business Intelligence 52

Business Intelligence Coding Project BI 52

ProjectPro

AUGUST 2, 2021

This process is almost indispensable even for more complex algorithms like Optical Character Recognition, around which companies like Microsoft have built and deployed entire products (i.e., Alternatively, you could attempt to implement other Grayscaling algorithms like the Lightness and the Average Method. Microsoft OCR).

Coding 40

Coding Python Process Project 40

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. Our data is imbalanced.

Finance 52

Finance Machine Learning Project Banking 52

Knowledge Hut

MARCH 26, 2024

ChatGPT prompts for healthcare Here are some ChatGPT prompt examples for healthcare: Rewrite a long and technical medical report on a patient's cardiac MRI scan into a shorter summary. For my task, I recommend ML algorithms based on data characteristics. Analyze [Company A] recent financial statements and identify key metrics.

Media 52

Media Finance Healthcare Medical 52

Knowledge Hut

NOVEMBER 16, 2023

They need to have a strong background in software development and an understanding of cryptography, data structures, and common algorithms. They work on platforms like Hyperledger and Ethereum and are responsible for almost all the operations like development, management and troubleshooting related to distributed blockchain networks.

IT 52

IT Software Engineering Software Engineer Cloud Computing 52

ProjectPro

OCTOBER 18, 2021

Machine Learning Projects are the key to understanding the real-world implementation of machine learning algorithms in the industry. You can use open-source medical datasets like CHDS (Child Health and Development Studies), HCUP, Medicare to test your machine learning algorithm. Text Processing b. Text Sequencing c.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

ProjectPro

JUNE 1, 2015

Not only can the doctor check past records, but can also track the progress of the patient, recommend medicines which are suitable for a specific individual and advise other non medical solutions for the person's get well program. There are various medical apps which are helping more people get fitter and more engaged with their own health.

Healthcare 52

Healthcare Big Data Database-centric Hospitality 52

ProjectPro

SEPTEMBER 6, 2021

and use machine learning algorithms to train a model that learns various features of the hotels and predicts the prices. Check Out Top SQL Projects to Have on Your Portfolio Web Scraping Project Idea #8 Online-Game Review Analysis With COVID-19 in place, the gaming industry saw a massive bump in its users. of the past few years.

Project 52

Project Programming Language Entertainment Python 52

ProjectPro

MARCH 15, 2016

Hadoop clusters are used by banks to create more accurate risk analysis models for the customers in its portfolio. Currently banks as well as government financial institutions use HDFS and MapReduce to commence anti money laundering practices, asset valuation and portfolio analysis.

Hadoop 40

Hadoop Retail Healthcare Banking 40

ProjectPro

AUGUST 16, 2021

Thanks to innovation and research in machine learning algorithms, we can seek knowledge and learn from insights that hide in the data. The idea is to try multiple models and assess the best-suited algorithm for the problem. 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

ProjectPro

FEBRUARY 8, 2016

Predictive analytics helps predict the likelihood of a future outcome by using various statistical and machine learning algorithms. Algorithms take data and fill in the missing data with the best possible guesses to make predictions. Still, the accuracy of predictions is not 100%, as it is based on probabilities.

Data Mining 56

Data Mining Big Data Medical Data Analytics 56

ProjectPro

FEBRUARY 1, 2022

Predictive Modeling — Explain the machine learning model you trained, how did you finalized your machine learning algorithm, and talk about the evaluation techniques you performed on your accuracy score. Data Visualization — Communicate the findings through visualization and what feedback you received.

Data Science 52

Data Science Datasets Banking Machine Learning 52

ProjectPro

FEBRUARY 19, 2021

Therefore, it is necessary to detect them early on or use algorithms resistant to outliers. The equation for polynomial regression would obviously be a multinomial one: y = a + bX + cX 2 + dX 3 …… Before we go any further, let me introduce a concept called loss function, used to assess the usefulness of our regression algorithm.

Machine Learning 40

Machine Learning Algorithm Datasets Data Science 40

ProjectPro

MARCH 17, 2014

“It would be the imaging data that a health care provider generates with multiple MRIs and other medical imaging techniques. So Doug decided to name his software project after his daughters toy “Hadoop” Build an Awesome Job Winning Project Portfolio with Solved End-to-End Big Data Projects Who invented Hadoop?

Hadoop 52

Hadoop Big Data Unstructured Data Retail 52

ProjectPro

JUNE 2, 2015

Bayer uses a third-party analytics algorithm to analyse the global warming data so that it can model the supply of its allergy drugs based on weather trends and allergy sufferings. Build an Awesome Job Winning Project Portfolio with Solved End-to-End Big Data Projects PREVIOUS NEXT < May 6, UK IT News V3.co.uk

Big Data 40

Big Data Hadoop Banking Data Analytics 40

U-Next

NOVEMBER 10, 2022

AI research has many practical applications, including medical diagnosis, speech recognition, and translation between languages. . Healthcare: AI can be used to predict medical outcomes and identify patterns in medical data that are not humanly possible. product comparison). . historical data). .

Machine Learning 52

Machine Learning Management Medical Insurance 52

Knowledge Hut

MARCH 20, 2024

As a robotics engineer, you can create robotic applications for a variety of industries, including the automotive, aerospace, manufacturing, defense, and medical fields. Mathematics: Strong mathematical skills in areas like calculus and linear algebra for algorithm development.

Engineering 52

Engineering Portfolio Programming Language Manufacturing 52

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. A machine learning engineer also analyzes the cases where the ML algorithms are being used and determines the success probability of using each. Read on to find out.

Machine Learning 52

Machine Learning Engineering Computer Science Portfolio 52

ProjectPro

DECEMBER 9, 2021

A mix of both supervised and unsupervised algorithms is nothing but GANs essentially. None of the traditional machine learning algorithms has this capability. The dataset collection and annotation for medical imaging is quite tedious and expensive. High-level overview of SGAN ( Source ) 5. PREVIOUS NEXT <

Project 52

Project Medical Datasets Deep Learning 52

U-Next

AUGUST 26, 2022

Algorithm-driven firms are the new inventors and corporate executives because they go well beyond typical KPI measurement and reviewing to uncover hidden patterns. An instance of Prescriptive Analytics from our project portfolio. Through the use of advanced equipment, medications, etc., Data Analytics Illustration.

Data Analytics 40

Data Analytics Insurance Transportation Healthcare 40

ProjectPro

JULY 30, 2021

As an aspiring machine learning professional, a portfolio is the most important asset to have in your job search. But what if you don’t have a machine learning portfolio because you are going to need diverse skills and projects under your belt to land a top machine learning gig.

Machine Learning 40

Machine Learning Project Deep Learning Banking 40

AltexSoft

JUNE 25, 2022

In 2021, a man from London tried to eat forged documents after he received a criminal record for making a fraudulent claim for £13,000 (nearly $16,000) for alleged medical costs in treating an ear injury while in Florida. Key fraud victims: insurance carriers. While ridiculous, this is not an isolated incident of travel insurance fraud.

Insurance 52

Insurance Hospitality Machine Learning Education 52

ProjectPro

MAY 15, 2015

The strenuous big data analytics algorithms will easily catch every outlier in data. Companies like Walmart , Box and Credit Suisse are using analytic algorithms on various data points to find out who is likely to leave a job. Big data and analytics possibly means the end of cheating and fraud.

Insurance 40

Insurance Media Big Data Hadoop 40

AltexSoft

DECEMBER 15, 2021

On the surface, ML algorithms take the data, develop their own understanding of it, and generate valuable business insights and predictions — all without human intervention. It boosts the performance of ML specialists relieving them of repetitive tasks and enables even non-experts to experiment with smart algorithms.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59