Knowledge Hut

JANUARY 18, 2024

These professionals are capable of handling feature engineering, getting the data, and model building. They also ensure the efficient application of the model for making relevant predictions using the data collected through various methods.

Data Science 63

Data Science Computer Science Programming Language Machine Learning 63

AltexSoft

MAY 27, 2022

A large hospital group partnered with Intel, the world’s leading chipmaker, and Cloudera, a Big Data platform built on Apache Hadoop , to create AI mechanisms predicting a discharge date at the time of admission. The built-in algorithm learns from every case, enhancing its results over time. Data preparation for LOS prediction.

Hospitality 98

Hospitality Medical Healthcare Algorithm 98

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

Knowledge Hut

JANUARY 19, 2024

Entering the world of data science is a strategic move in the 21st century, known for its lucrative opportunities. With businesses relying heavily on data, the demand for skilled data scientists has skyrocketed. Recognizing the growing need for data scientists, institutions worldwide are intensifying efforts to meet this demand.

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

U-Next

AUGUST 11, 2022

Artificial Intelligence is achieved through the techniques of Machine Learning and Deep Learning. Machine Learning (ML) is a part of Artificial Intelligence. It’s a study of Computer Algorithms, which helps self-improvement through experiences. Like Java, C, Python, R, and Scala. is highly beneficial.

Medical 52

Medical Computer Science Scala Machine Learning 52

U-Next

SEPTEMBER 13, 2022

A multidisciplinary field called Data Science involves unprocessed data mining, its analysis, and discovering patterns utilized to extract meaningful information. The fundamental building blocks of Data Science are Statistics, Machine Learning, Computer Science, Data Analysis, Deep Learning, and Data Visualization. .

Machine Learning 40

Machine Learning Data Science Deep Learning Algorithm 40

Knowledge Hut

NOVEMBER 27, 2023

Developing technical skills is essential, starting with foundational knowledge in mathematics, including calculus and linear algebra, which underpin machine learning and deep learning concepts. Through the article, we will learn what data scientists do, and how to transits to a data science career path.

Data Science 52

Data Science Datasets Machine Learning Algorithm 52

Knowledge Hut

FEBRUARY 29, 2024

Learning inferential statistics website: wallstreetmojo.com, kdnuggets.com Learning Hypothesis testing website: stattrek.com Start learning database design and SQL. A database is a structured data collection that is stored and accessed electronically.

Data Science 79

Data Science Datasets Database Design Machine Learning 79

Cloudera

FEBRUARY 16, 2022

We can think of model lineage as the specific combination of data and transformations on that data that create a model. This maps to the data collection, data engineering, model tuning and model training stages of the data science lifecycle. Figure 04: Applied Machine Learning Prototypes (AMPs).

Machine Learning 82

Machine Learning Algorithm Government Metadata 82

AltexSoft

OCTOBER 18, 2022

No wonder publicly available health datasets are relatively rare and attract much attention from researchers, data scientists, and companies working on medical AI solutions. Below, we’ll explore data collections the Internet has to offer and the practical tasks they help solve. Older Adults Health Data Collection.

Medical 52

Medical Datasets Machine Learning Hospitality 52

Knowledge Hut

JUNE 20, 2023

Skills A data engineer should have good programming and analytical skills with big data knowledge. A machine learning engineer should know deep learning, scaling on the cloud, working with APIs, etc. Examples Pull daily tweets from the data warehouse hive spreading in multiple clusters.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

ProjectPro

AUGUST 13, 2021

Predictive Analytics Predictive Analytics involves using data science methods to estimate the value of a quantity necessary for decision making. This application of machine learning algorithms has changed the game for many businesses. The algorithm has now evolved into exciting neural networks like ANN, CNN, RNN, etc.

Machine Learning 40

Machine Learning Project Deep Learning Datasets 40

Knowledge Hut

JANUARY 11, 2024

Novo Nordisk uses the Linguamatics NLP platform from internal and external data sources for text mining purposes that include scientific abstracts, patents, grants, news, tech transfer offices from universities worldwide, and more. UPS utilizes supply chain data analysis in all aspects of its shipping process.

Data Science 72

Data Science Transportation Hospitality Banking 72

AltexSoft

SEPTEMBER 19, 2023

For instance, a notable expert in this domain, OAG , has a suite of air-related datasets, including historical flight data spanning 20 years. Businesses selling vacation rentals can take advantage of data collection from AirDNA , Mashvisor , and others. Choose analytical tools.

Hospitality 52

Hospitality Machine Learning Data Governance BI 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. Software developers play an important role in data collection and analysis to ensure the company's security.

Medical 68

Medical Programming Language Amazon Web Services Entertainment 68

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.

Unstructured Data 40

Unstructured Data Medical Data Science Business Intelligence 40

ProjectPro

DECEMBER 16, 2021

An essential skill for both the job roles is familiarity with various machine learning and deep learning algorithms. Machine Learning Engineers are traditionally Software Engineers who have learned to use Machine Learning for problems that could not be solved using traditional computer science algorithms.

Machine Learning 52

Machine Learning Engineering Pipeline-centric Database-centric 52

Knowledge Hut

JANUARY 22, 2024

In the ever-evolving landscape of technology, where data reigns supreme, the pursuit of mastery in data science, specifically exploring "Data Science Course Fees," has become more than a professional endeavor—it's a journey into the heart of innovation. Welcome to the world of data science.

Data Science 52

Data Science Certification Education Data Lake 52

Knowledge Hut

JUNE 26, 2023

Use Stack Overflow Data for Analytic Purposes Project Overview: What if you had access to all or most of the public repos on GitHub? As part of similar research, Felipe Hoffa analysed gigabytes of data spread over many publications from Google's BigQuery data collection. Python source code for Big Data can be written.

Data Engineering 81

Data Engineering Data Engineer Coding Project 81

ProjectPro

APRIL 17, 2015

Last year when Twitter and IBM announced their partnership it seemed an unlikely pairing, but the recent big data news on New York Times about this partnership took a leap forward with IBM’s Watson all set to mine Tweets for sentiments. Deep learning involves ingesting big data to neural networks to receive predictions in response.

Big Data 52

Big Data Data Analysis NoSQL Deep Learning 52

ProjectPro

JUNE 9, 2021

It converts data using various tools and technologies and builds data modeling solutions that offer helpful and valuable insights to solve business problems. For example, companies can leverage data-driven business insights to predict customer behavior using algorithms and techniques and enhance overall customer experiences.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

U-Next

JULY 4, 2022

Collecting a large amount of data cannot benefit an organisation if there’s no good way to interpret it. Let’s Know About Data Science. In simple language, data science is analysing data using technology, algorithm, and inferences. Why is Data Science Important? Help to Interpret Data.

Data Science 40

Data Science Data Architect Data Mining Recruitment 40

Confluent

FEBRUARY 6, 2019

It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. After all, machine learning with Python requires the use of algorithms that allow computer programs to constantly learn, but building that infrastructure is several levels higher in complexity.

Machine Learning 107

Machine Learning Python Kafka Java 107

U-Next

SEPTEMBER 27, 2022

AI Product Manager s can be compared to a cross between Data scientists and designers. In addition to strong design skills, AI Product Manager s must know about Machine Learning, algorithms, and other methods for enhancing businesses through AI. Data collection must also be continued to fine-tune ongoing AI initiatives. .

Management 40

Management IT Machine Learning Algorithm 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

ProjectPro

JULY 10, 2021

Upskill yourself for your dream job with industry-level big data projects with source code Time Series Analysis in R or Python Python and R are both great programming languages for performing time series. You can use numerous functions like manipulate, create, and plot to plot time series data in R.

Project 40

Project Banking Datasets Python 40

ProjectPro

JANUARY 31, 2023

Data scientists and machine learning engineers often come across this scenario where the data for their project is not sufficient for training a machine learning model, often resulting in poor performance. Overfitting occurs when an ML model yields accurate results for training examples but not for unseen data.

Deep Learning 52

Deep Learning Datasets Machine Learning Data 52

Knowledge Hut

DECEMBER 26, 2023

This mainly happened because data that is collected in recent times is vast and the source of collection of such data is varied, for example, data collected from text files, financial documents, multimedia data, sensors, etc. This is one of the major reasons behind the popularity of data science.

Data Engineering 76

Data Engineering Data Engineer Engineering Pipeline-centric 76

ProjectPro

MARCH 5, 2021

The invisible pieces of code that form the gears and cogs of the modern machine age, algorithms have given the world everything from social media feeds to search engines and satellite navigation to music recommendation systems. Recommender Systems – An Introduction Data collection is ubiquitous now.

Algorithm 40

Algorithm Systems Python Datasets 40

ProjectPro

AUGUST 16, 2021

Machine Learning Projects on Classification 2. Machine Learning Projects on Prediction 3. Machine Learning Projects on Computer Vision 4. Machine Learning Projects on Natural Language Processing (NLP) 5. Deep Learning and Neural Network Projects 6.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

AltexSoft

JULY 27, 2021

These days, the true power of customer experience personalization can be realized with the help of machine learning. By utilizing ML algorithms and data, it is possible to create smart models that can precisely predict customer intent and as such provide quality one-to-one recommendations. Source: Medium.

Machine Learning 76

Machine Learning Systems Algorithm Deep Learning 76

Knowledge Hut

JULY 7, 2023

Machine learning is a part of AI (artificial intelligence) that focuses on developing various algorithms and models to make decisions without human intervention. Various algorithms and models are trained using machine learning techniques like supervised, unsupervised, reinforcement, etc. How Does Machine Learning Work?

Machine Learning 80

Machine Learning Deep Learning Algorithm Datasets 80

Cloudera

NOVEMBER 19, 2020

To use such tools effectively, though, government organizations need a consolidated data platform–an infrastructure that enables the seamless ingestion and integration of widely varied data, across disparate systems, at speed and scale. Analyzing historical data is an important strategy for anomaly detection.

Government 114

Government Machine Learning Algorithm Raw Data 114

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

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

Knowledge Hut

JANUARY 18, 2024

It is an interdisciplinary science with multiple approaches, and advancements in Machine Learning and deep learning are creating a paradigm shift in many sectors of the IT industry across the globe. SQL for data migration 2. Python libraries such as pandas, NumPy, plotly, etc.

Data Science 67

Data Science Deep Learning Business Analyst Data Mining 67