Knowledge Hut

JANUARY 16, 2024

What Is Machine Learning? Machine learning, in simple terms, is an offshoot of artificial intelligence. It is the realm where algorithms self-educate themselves to predict outcomes by uncovering data patterns. It has no manual coding; it is all about smart algorithms doing the heavy lifting.

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Knowledge Hut

AUGUST 1, 2023

Machine learning is a way in which artificial intelligence is used to train algorithms or computers. Machine learning algorithms can analyze potentially tera bytes of data, identify patterns from these data, and make predictions or decisions. But how is machine learning used in healthcare?

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Machine Learning Medical Healthcare Hospitality 52

Edureka

JULY 16, 2024

With possibilities like managed notebooks, integrated ML algorithms, and auto-tuning of your models. Take leverage of the AWS tutorials, by this users can learn to build models instead of having to set up the infrastructure on their own. The model notebook and templates created in advance assist in boosting the model-building process.

AWS 52

AWS Algorithm Machine Learning Amazon Web Services 52

ProjectPro

OCTOBER 26, 2021

A machine learning framework is a tool that lets software developers, data scientists, and machine learning engineers build machine learning models without having to dig into the underlying working principle(math and stat) of the machine learning algorithms. MXNet MXNet is a choice of all Deep Learning developers.

Machine Learning 52

Machine Learning Programming Language Deep Learning Healthcare 52

Snowflake

OCTOBER 26, 2023

Generative AI uses neural networks and deep learning algorithms from LLMs to identify patterns in existing data to generate original content. These are just a few examples of how generative AI and large language models (LLMs) are transforming the healthcare and life sciences (HCLS) industry.

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Healthcare Unstructured Data High Quality Data Medical 87

U-Next

SEPTEMBER 29, 2022

A number of hyperparameters are typically included in newer algorithms. Scikit Learn . There are many Machine Learning libraries, but Scikit-learn is one of the most famous. The algorithm includes a number of calculations necessary for AI and data mining assignments, such as bunching, relapse, and order.

Management 52

Management Machine Learning Deep Learning Algorithm 52

ProjectPro

AUGUST 28, 2021

The most trusted way to learn and master the art of machine learning is to practice hands-on projects. 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.

Portfolio 52

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Knowledge Hut

JANUARY 22, 2024

Over time, FinTech has evolved to disrupt almost all aspects of financial services, including payments, investments, consumer finance, insurance, securities settlement, cryptocurrencies, etc. Data scientists apply machine learning algorithms to numbers, text, images, video, audio, and more to create artificial intelligence (AI) systems.

Data Science 52

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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

Knowledge Hut

NOVEMBER 27, 2023

Data Science is a field that uses scientific methods, algorithms, and processes to extract useful insights and knowledge from noisy data. Understand Machine Learning Even More It is one thing to know about Machine Learning algorithms and how to call their functions. This is where Data Science comes into the picture.

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AltexSoft

NOVEMBER 17, 2021

An example of document structure in healthcare insurance. Another example is the insurance industry that processes tens of thousands of claims daily. For example, Wipro , a software vendor, provides an NLP classifier to detect fake claims in the insurance sector. Source: affine.ai. Object recognition with computer vision.

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Knowledge Hut

DECEMBER 26, 2023

One needs to be aware of their areas of interest because commerce is a broad sector that encompasses taxation, finance, accounting, banking, insurance, wealth creation, auditing, management, etc. After finishing this course, candidates may work for audit firms in tax-related problems, banks, financial institutions, or insurance companies.

Banking 52

Banking Insurance Finance Cloud Computing 52

AltexSoft

MAY 30, 2022

But unlike rule-based systems, these chatbots can improve over time through data and machine learning algorithms. get better from human feedback — when a user provides additional information and corrects a bot’s mistakes, you can use those corrections to automate learning for the model to improve.

Banking 52

Banking Machine Learning Deep Learning Algorithm 52

Knowledge Hut

DECEMBER 27, 2023

Database Structures and Algorithms Different organizations use different data structures to store information in a database, and the algorithms help complete the task. These industries include companies that offer medical services, insurance, manufacturing drugs, or distributing medical equipment.

Medical 98

Medical Programming Language Amazon Web Services Entertainment 98

U-Next

SEPTEMBER 19, 2022

If you are a Data Scientist, you’re well aware of the numerous SQL statements, excel formulas, functions, and algorithms in your profession. Machine Learning is used in our automated systems, Facebook algorithms, and Search engine results. Supervised Learning Algorithm Cheat sheet. Supervised Learning.

Data Science 40

Data Science Algorithm Machine Learning SQL 40

AltexSoft

OCTOBER 18, 2022

It contains confidential information which is protected by the Health Insurance Portability and Accountability (HIPAA) act and cannot be used without special consent. This provides many opportunities to train computer vision algorithms for healthcare needs. Medical Data: What to Consider When Working with Healthcare Information.

Medical 52

Medical Datasets Machine Learning Hospitality 52

ProjectPro

OCTOBER 27, 2021

There is a wide range of open-source machine learning algorithms and tools that fit exceptionally with financial data. Also, banking and financial institutions have substantial funds that they can afford to spend on state-of-the-art computing hardware needed for the machine learning architecture. Our data is imbalanced.

Finance 52

Finance Machine Learning Project Banking 52

Knowledge Hut

FEBRUARY 27, 2023

Machine learning is a relatively recent domain of technology that focuses on teaching machines to learn from acquired data rather than explicitly programming it to do so. Applications based on machine learning enhance performance and generate more accurate results compared to their human counterparts.

Machine Learning 52

Machine Learning Software Engineer Software Engineering Education 52

AltexSoft

OCTOBER 25, 2021

Its deep learning natural language processing algorithm is best in class for alleviating clinical documentation burnout, which is one of the main problems of healthcare technology. Most modern NLP applications use state-of-the-art deep learning methods. Nuance, acquired for $19.7 Source: Linguamatics.

Medical 52

Medical Healthcare Process Hospitality 52

ProjectPro

APRIL 1, 2021

A 2020 Dice report said that the demand for data scientists increased by an average of 50% across healthcare, telecommunications, media, and the banking, financial services, and insurance (BFSI) sectors, among others. Third is everyone should always be willing to learn like a student irrespective of age, experience, and background.

Data Science 40

Data Science Telecommunication Algorithm Machine Learning 40

AltexSoft

SEPTEMBER 19, 2023

Recommender systems use machine learning algorithms to make real-time personalized offers that meet the needs of a particular traveler. For example, in aviation, predictive maintenance reduces the need to pull the aircraft out of service, helps optimize repair schedules, prevents unexpected faults, and insures against flight delays.

Hospitality 52

Hospitality Machine Learning Data Governance BI 52

AltexSoft

JUNE 26, 2023

Say, to create a hotel price prediction algorithm for a family hotel, we combined its own booking data with information on rivals of the same size and located in the same region. IDP can be used to collect and cleanse data from insurance claims , medical forms, invoices, agreements, and other documents, minimizing human intervention.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

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

AltexSoft

OCTOBER 22, 2021

Well, the technology behind such “magic” is called deep learning. In this post, we’ll explain what deep learning is, how it works, how it’s different from traditional machine learning, and what areas it can be applied within. Get ready because you’re about to go deep into deep learning.

Deep Learning 52

Deep Learning Algorithm Raw Data Machine Learning 52

Databand.ai

DECEMBER 29, 2022

From time spent at Delta Airlines, Initiate Systems, and IBM, Priya has developed algorithms required to run a $200M+ Master Data Management business, led complete business transformations, and managed product functions across banking, insurance, retail, government, and healthcare.

BI 52

BI Consulting Data Science Data Governance 52

ProjectPro

AUGUST 24, 2021

A related example is when a vendor or insurer wants to know the number of products that will be returned because of failures. Source Code: Analyse Movie Ratings Data Unlock the ProjectPro Learning Experience for FREE 11) Retail Analytics Project Example For retail stores , inventory levels, supply chain movement, customer demand, sales, etc.

Data Engineering 52

Data Engineering Data Engineer Coding Project 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

U-Next

NOVEMBER 10, 2022

Machine Learning is the science of getting computers to act without being explicitly programmed. Algorithms are used to make predictions about future data, such as what movie you might like or what price you should pay for your next car. . Machine Learning algorithms are often used for classification and prediction problems.

Machine Learning 52

Machine Learning Management Medical Insurance 52

Knowledge Hut

JANUARY 11, 2024

You can learn more about data science fundamentals in this data science course content. From my standpoint, data scientists may use it to spot fraudulent conduct in insurance claims. Several NLP algorithms have been developed for the topics of safety, efficacy, randomized controlled trials, patient populations, dosing, and devices.

Data Science 98

Data Science Transportation Hospitality Banking 98

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. Source Code: Search Engine 3.

Big Data 52

Big Data Coding Project Medical 52

U-Next

AUGUST 3, 2022

A Data Scientist is skilled in concluding data using various systems, procedures, and algorithms. Additionally, they must be able to formulate those questions utilising a variety of tools, including analytic, economic, deep learning, and scientific techniques. What is a Data Scientist? What are Data Scientist roles?

Data Science 52

Data Science Retail Computer Science Entertainment 52

U-Next

OCTOBER 27, 2022

Artificial Intelligence (AI) and Machine Learning (ML) algorithms have advanced to the point where they can now analyze enormous datasets and provide much-increased accuracy via self-learning and adapting to new circumstances. Insurance Risk Detection Using Natural Language Processing .

Technology 40

Technology Insurance Hospitality Machine Learning 40