Knowledge Hut

DECEMBER 29, 2023

In addition, there are professionals who want to remain current with the most recent capabilities, such as Machine Learning, Deep Learning, and Data Science, in order to further their careers or switch to an entirely other field. Learning Outcomes: Acquire the skills necessary to assess models developed from data.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

AltexSoft

DECEMBER 15, 2021

Machine learning evangelizes the idea of automation. 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. In truth, ML involves an enormous amount of repetitive manual operations, all hidden behind the scenes.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59

AltexSoft

JUNE 26, 2023

We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. It’s the first and essential stage of data-related activities and projects, including business intelligence , machine learning , and big data analytics. What is data collection?

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Knowledge Hut

JANUARY 18, 2024

It also helps organizations to maintain complex data processing systems with machine learning. A skilled data scientist can directly apply the data collected through Machine Learning and Artificial Intelligence to businesses. Get to know more about data science management.

Data Science 96

Data Science Computer Science Programming Language Machine Learning 96

Knowledge Hut

JANUARY 11, 2024

Examples of Data Science Case Studies Hospitality: Airbnb focuses on growth by analyzing customer voice using data science. Data Science in Hospitality Industry In the hospitality sector, data analytics assists hotels in better pricing strategies, customer analysis, brand marketing, tracking market trends, and many more.

Data Science 98

Data Science Transportation Hospitality Banking 98

RandomTrees

DECEMBER 20, 2023

Next GEN Edge AI , also known as Edge Intelligence or next gen ai , combines Edge Computing and Artificial Intelligence to track and execute machine learning. AI workflows at the edge use data originating from centralized data centers (cloud, devices) and data originating from human sources (edge). What is Next GEN Edge AI ?

IT 52

IT Hospitality Healthcare Deep Learning 52

ProjectPro

NOVEMBER 8, 2021

With the advancement in artificial intelligence and machine learning and the improvement in deep learning and neural networks, Computer vision algorithms can process massive volumes of visual data. With no future adieu, let's look at some of the most commonly used computer vision algorithms and applications.

Algorithm 52

Algorithm Medical Datasets Python 52

AltexSoft

FEBRUARY 21, 2023

Hotel price prediction is a critical aspect of the travel industry, and with the rise of machine learning , it has become more precise and accurate. This blog post will delve into the challenges, approaches, and algorithms involved in hotel price prediction. Check out our video on how revenue management works in hospitality.

Hospitality 52

Hospitality Datasets Algorithm Machine Learning 52

Striim

NOVEMBER 18, 2022

The hospital management uses real-time data from EHRs and machine learning algorithms for creating classifiers (a deep-learning algorithm that can categorize data into relevant categories) to identify when a patient’s health worsens due to sepsis.

Healthcare 52

Healthcare Hospitality Medical Electronics 52

AltexSoft

SEPTEMBER 19, 2023

Internal systems — like a property management system (PMS) in hospitality, a passenger service system (PSS) used by airlines, or an OTA back office — are the backbone and the most relevant source of transaction details, booking histories, and inventory data for a travel business. geolocation, profiles, and feedback.

Hospitality 52

Hospitality Machine Learning Data Governance BI 52

AltexSoft

AUGUST 27, 2022

So, it comes as no surprise that all large biopharma companies are investing in AI, particularly in deep learning , which has the potential to make the hunt for drugs cheaper, faster, and more precise. It’s worth noting that regulatory bodies treat the use of machine learning in healthcare with caution. Source: Deloitte.

Medical 52

Medical Deep Learning Algorithm Machine Learning 52

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

AltexSoft

OCTOBER 25, 2021

billion (Microsoft’s biggest purchase since LinkedIn), provides niche AI products for clinical voice transcription, used in 77 percent of US hospitals. 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.

Medical 52

Medical Healthcare Process Hospitality 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

Portfolio Project Datasets Algorithm 52

AltexSoft

MAY 12, 2021

And machine learning techniques hold the potential of speeding up tumor localization dramatically. Recent research demonstrates that machine learning models show better results in skin cancer classification than an average dermatologist. The most advanced AI algorithms achieved the accuracy of almost 97 percent.

Medical 72

Medical Healthcare Datasets Machine Learning 72

ProjectPro

FEBRUARY 16, 2023

At the core of such applications lies the science of machine learning, image processing, computer vision, and deep learning. This application is increasingly and readily being deployed for tracking attendance and identity verification in places like airports, corporates, schools, hospitals, etc.

Python 98

Python Process Deep Learning Algorithm 98

AltexSoft

MAY 30, 2022

In this post, we’ll focus on what conversational AI is, how it works, and what platforms exist to enable data scientists and machine learning engineers to implement this technology. But unlike rule-based systems, these chatbots can improve over time through data and machine learning algorithms.

Banking 52

Banking Machine Learning Deep Learning Insurance 52

Tweag

APRIL 19, 2023

Machine Learning (ML). Deep Learning. Detecting cancerous cells in microscopic photography of cells (Whole Slide Images, aka WSIs) is usually done with segmentation algorithms, which NNs are very good at. A single hospital makes many captures a day, producing terabytes of such data to store and process.

Medical 60

Medical Process Cloud Bytes 60

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

JUNE 1, 2017

For these hadoop vendors, the big data market is all about big and fast data that includes cloud based services for Hadoop and other offerings for running Spark , big data pipelines, machine learning and Streaming.All these managed services are a boon for hadoop vendors to fulfill their promises in a broader ecosystem.

Hadoop 52

Hadoop Medical Pipeline-centric Database-centric 52

Knowledge Hut

MARCH 22, 2024

Sample answer for a Data Scientist I'm a data scientist with 6 years of experience in machine learning and data visualization with a strong foundation in statistics, programming, and problem-solving. I'm passionate about leveraging data to extract valuable insights and drive impactful business decisions.

Recruitment 52

Recruitment Healthcare Pipeline-centric Hospitality 52

DareData

JULY 29, 2020

The Challenges of Medical Data In recent times, there have been several developments in applications of machine learning to the medical industry. Odds are that your local hospital, pharmacy or medical institution's definition of being data-driven is keeping files in labelled file cabinets, as opposed to one single drawer.

Healthcare 52

Healthcare Data Pipeline Medical Pipeline-centric 52

ProjectPro

JULY 10, 2021

Machine learning for time series is often a neglected topic. Time Series Project to Build an Autoregressive Model in Python Take the Practical Approach To Mastering Time Series Techniques Time Series Projects - Why are they so important for easy learning ?

Project 40

Project Banking Datasets Python 40

AltexSoft

JUNE 9, 2023

Large language models and transformers in a nutshell Language models , types of machine learning models, are trained to anticipate the likelihood of a word sequence. They predict the next appropriate word based on text context, essentially learning how humans use language. What is ChatGPT? How hotel mapping works.

Project 52

Project Java Hospitality Transportation 52

ProjectPro

FEBRUARY 8, 2017

2017 will see a continuation of these big data trends as technology becomes smarter with the implementation of deep learning and AI by many organizations. Growing adoption of Artificial Intelligence, growth of IoT applications and increased adoption of machine learning will be the key to success for data-driven organizations in 2017.

Big Data 40

Big Data Hadoop Data Lake Data Governance 40

ProjectPro

AUGUST 24, 2021

Data professionals who work with raw data like data engineers, data analysts, machine learning scientists , and machine learning engineers also play a crucial role in any data science project. Machine Learning web service to host forecasting code. Nevertheless, that is not the only job in the data world.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

U-Next

SEPTEMBER 22, 2022

Machine Learning and business intelligence are used in predictive analytics, also known as advanced analytics. . Several vetted models and algorithms are used in the predictive analytics tools in order to generate a large number of useful outcomes that are applicable to a wide range of use cases. . Clustering Model .

Hospitality 40

Hospitality Algorithm Machine Learning Banking 40

U-Next

OCTOBER 27, 2022

Using Artificial Intelligence and Machine Learning, voice recognition is quickly overcoming the obstacles of inadequate recording equipment, noise cancellation, variances in people’s voices, accents, dialects, meanings, situations, etc. Financial Investments Benefit from Machine Learning . billion from 4.2

Technology 40

Technology Insurance Hospitality Machine Learning 40