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 builds a model based on Sample data and is designed to make predictions and decisions without being programmed for it. ML And AI Are The Future.

Medical 52

Medical Computer Science Scala Machine Learning 52

ProjectPro

AUGUST 16, 2021

Sending out the exact old traditional style data science or machine learning resume might not be doing any favours in your machine learning job search. With cut-throat competition in the industry for high-paying machine learning jobs, a boring cookie-cutter resume might not just be enough.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

Knowledge Hut

MARCH 26, 2024

To find patterns, trends, and correlations among massive amounts of data, they leverage their knowledge in machine learning, statistics, and data analysis. Predictive systems and machine learning algorithms present results in an understandable way. Handle any health issues that may arise during surgery.

Medical 52

Medical BI Programming Language Healthcare 52

ProjectPro

FEBRUARY 8, 2023

Data and data mining methods can therefore help in the earlier detection of heart disease by warning patients about possible infections. Using Kafka to combine messaging, storage, and stream processing, it is possible to automate disease detection by storing and processing historical and current data.

Kafka 52

Kafka Banking Healthcare Medical 52

Knowledge Hut

JULY 7, 2023

These research topics include various software development approaches, quality of software, testing of software, maintenance of software, security measures for software, machine learning models in software engineering, DevOps, and architecture of software.

Software Engineer 52

Software Engineer Software Engineering Engineering Data Mining 52

U-Next

SEPTEMBER 23, 2022

Data aggregation and data mining are two essential techniques used in descriptive analytics to analyze historical data and find patterns and trends. Drill-down, data mining, and other techniques are used to find the underlying cause of occurrences. Descriptive Analytics. Diagnostic Analytics.

Data Mining 40

Data Mining Business Analyst Deep Learning Algorithm 40

U-Next

SEPTEMBER 29, 2022

From everyday activities such as shopping and content creation to innovative developments such as space exploration and medical research, this time of technological advancement will have an enormous impact on virtually every aspect of life. . Scikit Learn . For optimizing their models, many Machine Learning engineers use AutoML. .

Management 52

Management Machine Learning Deep Learning Algorithm 52

Edureka

APRIL 17, 2023

You can start with simple datasets like weather data or stock prices, which can be easily obtained from sources like Kaggle, UCI Machine Learning Repository, or data.gov. To complete this project, you’ll need to learn how to use tools like Excel, Python, or R to manipulate and analyze the data.

Portfolio 40

Portfolio Data Analytics Project Data Mining 40

Knowledge Hut

JANUARY 18, 2024

As data analytics professionals navigate this rapidly evolving landscape, they must adapt and develop new skills to stay relevant. Fortunately, short term Data Science courses can help you take the first step into this field and work your way upwards.

Data Analytics 52

Data Analytics Healthcare Machine Learning Algorithm 52

ProjectPro

DECEMBER 17, 2021

One way to help the investors is to give them a fair idea of the risks involved by predicting the returns using machine learning. You must try to use the advanced technology of machine learning and estimate the short-term returns for 14 popular cryptocurrencies.

Data Science 52

Data Science Medical Machine Learning Datasets 52

Knowledge Hut

JANUARY 18, 2024

Regression Analysis is a set of statistical processes that are at the core of data science. In the field of numerical simulation, it represents the most well-understood models and helps in interpreting machine learning algorithms. We will also cover Machine Learning with Python fundamentals and more.

Machine Learning 52

Machine Learning Data Mining Medical Datasets 52

U-Next

OCTOBER 27, 2022

AI helps develop self-learning systems that can learn from experience without requiring human intervention or programming effort. . AI clouds have been used in many domains, such as self-driving cars, medical diagnosis, and speech recognition. AI is a broad field that deals with building intelligent machines.

Cloud Computing 40

Cloud Computing Cloud IT Algorithm 40

ProjectPro

DECEMBER 10, 2021

Business Intelligence refers to the toolkit of techniques that leverage a firm’s data to understand the overall architecture of the business. This understanding is achieved by using data visualization , data mining, data analytics, data science, etc. methodologies. to estimate the costs.

Business Intelligence 52

Business Intelligence Coding Project BI 52

U-Next

OCTOBER 16, 2022

AI helps develop self-learning systems that can learn from experience without requiring human intervention or programming effort. . AI clouds have been used in many domains, such as self-driving cars, medical diagnosis, and speech recognition. AI is a broad field that deals with building intelligent machines.

Cloud Computing 40

Cloud Computing Cloud Algorithm Machine Learning 40

ProjectPro

JANUARY 19, 2022

Companies frequently hire certified Azure Data Engineers to convert unstructured data into useful, structured data that data analysts and data scientists can use. Data infrastructure, data warehousing, data mining, data modeling, etc.,

Data Engineer 52

Data Engineer Data Engineering Engineering Data Storage 52

U-Next

SEPTEMBER 22, 2022

Machine Learning and business intelligence are used in predictive analytics, also known as advanced analytics. . Data from the past is commonly used in predictive analytics models and variables. Based on the common attributes of the data, this model nests them together. What Are Predictive Models? . Clustering Model .

Hospitality 40

Hospitality Algorithm Machine Learning Banking 40

ProjectPro

JUNE 26, 2021

Here is a list of them: Use Deep learning models on the company's data to derive solutions that promote business growth. Leverage machine learning libraries in Python like Pandas, Numpy, Keras, PyTorch, TensorFlow to apply Deep learning and Natural Language Processing on huge amounts of data.

Project 40

Project Deep Learning Datasets Medical 40

ProjectPro

JULY 23, 2021

Machine Learning and Deep Learning have experienced unusual tours from bust to boom from the last decade. But when it comes to large data sets, determining insights from them through deep learning algorithms and mining them becomes tricky. There are a lot of deep learning frameworks available.

Deep Learning 40

Deep Learning Machine Learning Algorithm Datasets 40

ProjectPro

FEBRUARY 8, 2016

It is the simplest form of analytics, and it describes or summarises the existing data using existing business intelligence tools. The main techniques used here are data mining and data aggregation. Descriptive analytics involves using descriptive statistics such as arithmetic operations on existing data.

Data Mining 56

Data Mining Big Data Medical Data Analytics 56

ProjectPro

FEBRUARY 1, 2022

A data science case study is an in-depth, detailed examination of a particular case (or cases) within a real-world context. Data Mining — How did you scrape the required data ? you set up to source your data. Think of the mining and cleaning activities that you are required to perform.

Data Science 52

Data Science Datasets Banking Machine Learning 52

ProjectPro

DECEMBER 14, 2021

Advanced Analytics with R Integration: R programming language has several packages focusing on data mining and visualization. Data scientists employ R programming language for machine learning, statistical analysis, and complex data modeling. What is Power BI Used For?

BI 52

BI Project Business Intelligence Datasets 52

ProjectPro

MARCH 17, 2014

Joe Tucci ,CEO of EMC said that big data is best defined by example-“Big data would be the mass of seismic data an oil company accumulates when exploring for new sources of oil,” he said. “It would be the imaging data that a health care provider generates with multiple MRIs and other medical imaging techniques.

Hadoop 52

Hadoop Big Data Unstructured Data Retail 52

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

Knowledge Hut

SEPTEMBER 24, 2024

Anthony Franklin, a senior data science expert and AI evangelist from Microsoft, spoke about the challenges that society faces from the ever-evolving AI and how the inherent biased nature of humans is reflected in technology. As a result, millions of black people have not been able to get equal medical treatment.

Hospitality 52

Hospitality Medical Algorithm Government 52

Knowledge Hut

MAY 23, 2024

Industries: Data scientists tend to be more prevalent in tech fields like analytics and machine learning, while full stack developers are more common in software development and IT departments. Benefits: Data scientist is a title that is sometimes used to describe someone who specializes in data analysis.

Computer Science 98

Computer Science Java Data Science Certification 98

U-Next

SEPTEMBER 23, 2022

Patients can be given evidence-based treatment that has been identified and prescribed after reviewing previous medical data. In the healthcare industry, wearable gadgets and sensors have been launched that can transmit real-time data to a patient’s electronic health record. Apple is one such technology.

Big Data Ecosystem 40

Big Data Ecosystem Big Data Healthcare Data Lake 40