AltexSoft

MAY 12, 2022

Aiming at understanding sound data, it applies a range of technologies, including state-of-the-art deep learning algorithms. Audio analysis has already gained broad adoption in various industries, from entertainment to healthcare to manufacturing. Here is the list of most popular tools used in audio analysis.

Machine Learning 122

Machine Learning Building Deep Learning Healthcare 122

Knowledge Hut

MAY 2, 2024

Machine learning is a field that encompasses probability, statistics, computer science and algorithms that are used to create intelligent applications. These applications have the capability to glean useful and insightful information from data that is useful to arrive business insights. are the tools used in Inferential Statistics.

Machine Learning 98

Machine Learning Algorithm Datasets Python 98

RandomTrees

SEPTEMBER 10, 2024

Consequently, many industries, including manufacturing, energy, transportation, and healthcare, are adopting predictive maintenance as their preferred strategy. AI algorithms analyze massive sensor-collected data from machines containing temperature, vibration, and pressure, among other operational parameters.

Transportation 59

Transportation Manufacturing Machine Learning Algorithm 59

Snowflake

OCTOBER 17, 2024

Avios, a leader in travel awards with more than 40 million members and 1,500 partners, uses Snowflake Notebooks on Container Runtime to perform deeper analysis and data analysis tasks with the flexibility needed for their business. “I Keysight builds scalable sales and forecasting models in Snowflake ML with Container Runtime.

Food 111

Food Medical Healthcare AWS 111

Knowledge Hut

SEPTEMBER 6, 2023

To obtain a data science certification, candidates typically need to complete a series of courses or modules covering topics like programming, statistics, data manipulation, machine learning algorithms, and data analysis. Python and R are the best languages for Data Science.

Data Science 97

Data Science Certification Business Analyst Machine Learning 97

Knowledge Hut

DECEMBER 27, 2023

All thanks to scholars who combined statistics and computer science for data analysis, quick processing, inexpensive storage, big data, and other factors. To remove meaningful data from enormous amounts of data, processing of data is necessary.

Data Science 52

Data Science Medical Manufacturing Transportation 52

Knowledge Hut

DECEMBER 27, 2023

Many industries, such as medicine, business, technology, defense, aerospace, marketing, and manufacturing, need a team of software developers to ensure their businesses' maximum performance and introduce innovative software and technologies. They make sure that all enterprise applications run smoothly at any cost.

Medical 98

Medical Programming Language Amazon Web Services Entertainment 98

Knowledge Hut

JUNE 26, 2023

If you want to break into the field of data engineering but don't yet have any expertise in the field, compiling a portfolio of data engineering projects may help. Data pipeline best practices should be shown in these initiatives. If data scientists and analysts are pilots, data engineers are aircraft manufacturers.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Knowledge Hut

APRIL 25, 2024

Recognizing the difference between big data and machine learning is crucial since big data involves managing and processing extensive datasets, while machine learning revolves around creating algorithms and models to extract valuable information and make data-driven predictions.

Machine Learning 52

Machine Learning Big Data Unstructured Data Data Mining 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 98

Data Engineering Data Engineer Engineering Hadoop 98

Knowledge Hut

APRIL 23, 2024

Targeted Marketing & Campaigns: Big data gives telecom companies the ability to divide up their client base, analyze the use patterns and demographic information, and create personalized marketing campaigns and offers that will boost customer acquisition and retention.

Big Data 52

Big Data Recruitment Retail Transportation 52

Knowledge Hut

NOVEMBER 16, 2023

An Azure Data Scientist specializes in extracting valuable insights from large data sets. They apply data analysis, machine learning, and statistical techniques to interpret complex data and make informed decisions. I use Azure tools and services for my data science applications and machine learning experiments.

Data Science 52

Data Science Technology Cloud Computing Programming Language 52

Knowledge Hut

JULY 26, 2023

They enable organizations to use data as an asset, resulting in greater operational efficiency, improved decision-making, and an edge over competitors in today's data-driven corporate world. Database applications also help in data-driven decision-making by providing data analysis and reporting tools.

Database 52

Database NoSQL MongoDB Telecommunication 52

Knowledge Hut

APRIL 25, 2024

Contrarily, Data Wrangling is done during iterative analysis and model construction. Data exploration The initial phase in data analysis is called data exploration, and it involves looking at and visualizing data to find insights right away or point out regions or patterns that need further investigation.

Big Data 52

Big Data Data Analytics Manufacturing Retail 52

Knowledge Hut

MARCH 27, 2024

You can check out the Big Data Certification Online to have an in-depth idea about big data tools and technologies to prepare for a job in the domain. To get your business in the direction you want, you need to choose the right tools for big data analysis based on your business goals, needs, and variety.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

ProjectPro

NOVEMBER 14, 2015

These Apache Hadoop projects are mostly into migration, integration, scalability, data analytics, and streaming analysis. These Apache Spark projects are mostly into link prediction, cloud hosting, data analysis, and speech analysis. Data Integration 3.Scalability Specialized Data Analytics 7.Streaming

Hadoop 52

Hadoop Project Big Data Healthcare 52

Knowledge Hut

DECEMBER 26, 2023

IBM is the leading supplier of Big Data-related products and services. IBM Big Data solutions include features such as data storage, data management, and data analysis. It also provides Big Data products, the most notable of which is Hadoop-based Elastic MapReduce. The industry is computer software.

Big Data 52

Big Data Unstructured Data Amazon Web Services Hadoop 52

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. Gone are the days of simply collecting and organizing data.

Data Analytics 52

Data Analytics Healthcare Machine Learning Algorithm 52

Knowledge Hut

JUNE 27, 2023

With the growth of cloud computing, data analysis, & automation, computer scientists are developing solutions that help organizations perform at their best. Computer science offer career opportunities like software engineering, cybersecurity, and data analysis which are in high demand and offer great opportunities for growth.

Computer Science 52

Computer Science Entertainment Healthcare Finance 52

Knowledge Hut

MARCH 12, 2024

This includes experts in creating algorithms, models, and systems that allow computers to learn using data or to make predictions or decisions. These experts use different methods, like supervised, unsupervised, and reinforcement learning, to derive intelligent output by analyzing massive data and bringing out significant insights.

Machine Learning 52

Machine Learning Computer Science Portfolio Certification 52

Netflix Tech

JULY 21, 2022

Some features (as an example) include Device Type ID, SDK Version, Buffer Sizes, Cache Capacities, UI resolution, Chipset Manufacturer and Brand. Now we can use any multi-class classification algorithm?—?ANNs, Some nuances while creating this dataset come from the on-field domain knowledge of our engineers.

Machine Learning 75

Machine Learning Datasets Big Data Data Pipeline 75

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. He performs data visualization to gain deeper insights. He also verifies the quality of data to make sure that the results obtained are accurate. Read on to find out.

Machine Learning 52

Machine Learning Engineering Computer Science Portfolio 52

Knowledge Hut

NOVEMBER 15, 2023

Example 4: To utilize my background in mechanical engineering to improve the efficiency of manufacturing processes for a leading automotive company. Example 7: To use my skills in industrial engineering to streamline operations and improve the bottom line for a manufacturing company. Example 7: A qualified Q.A.

Finance 98

Finance Certification Database-centric Business Intelligence 98

ProjectPro

SEPTEMBER 26, 2021

Data Warehousing: Data warehouses store massive pieces of information for querying and data analysis. Your organization will use internal and external sources to port the data. You must be aware of Amazon Web Services (AWS) and the data warehousing concept to effectively store the data sets.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Edureka

OCTOBER 16, 2024

This involves scrutinising the transaction data so that the bank’s algorithms can detect signs of fraudulent activities and take precautions. Manufacturing: Organization intelligence has its applicability in make environment by minimizing supply chain risk, product quality and a regular check on mechanical equipment.

Analytics Application 40

Analytics Application Business Analyst Manufacturing Retail 40

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

ProjectPro

AUGUST 28, 2021

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. There are three data files, namely driver.csv, ping.csv, and test.csv.

Portfolio 52

Portfolio Project Datasets Algorithm 52

Knowledge Hut

JULY 3, 2023

Data ingestion is the method of streaming a high volume of data from various different origins to your system. Due to the data ingestion process, you can perform various operations like data analysis, dashboarding and other analytical and business tools.

Data Ingestion 52

Data Ingestion Google Cloud Pipeline-centric Media 52

ProjectPro

DECEMBER 17, 2021

Additionally, solving a collection of take-home data science challenges is a good way of learning data science as it is relatively more engaging than other learning methods. So, continue reading this blog as we have prepared an exciting list of data science take-home challenges for you.

Data Science 52

Data Science Medical Machine Learning Algorithm 52

Striim

AUGUST 22, 2024

For instance, say you work in a manufacturing plant and are looking to use real-time analytics to find faults in your machinery. You can use machine sensors to collect data and analyze it in real time to deduct if there are any signs of failure. To ensure rapid data analysis, the system must operate with low latency.

Data Warehouse 52

Data Warehouse Retail Machine Learning Database 52

Edureka

APRIL 17, 2023

Supply Chain Optimization: Supply chain optimization involves using data analytics to optimize the supply chain process, reducing costs and improving efficiency. This type of analysis is particularly relevant in industries such as manufacturing and logistics. Intermediate data analytics projects can be challenging but rewarding.

Portfolio 40

Portfolio Data Analytics Project Data Mining 40

Knowledge Hut

JULY 3, 2023

Healthcare, manufacturing, utilities, transportation, agriculture, and consumer goods are a few of the leading IoT industries. Multiple Professional Alternatives: IoT crosses industries and provides a variety of professional alternatives in industries including healthcare, manufacturing, transportation, energy, and more.

Computer Science 52

Computer Science Programming Language Education Transportation 52

AltexSoft

MAY 12, 2023

This article delves into the realm of unstructured data, highlighting its importance, and providing practical guidance on extracting valuable insights from this often-overlooked resource. We will discuss the different data types, storage and management options, and various techniques and tools for unstructured data analysis.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Knowledge Hut

MAY 2, 2024

Reusability: Spark code once written for batch processing jobs can also be utilized for writing processed on Stream processing and it can be used to join historical batch data and stream data on the fly. MLlib interoperates with Python’s math/numerical analysis library NumPy and also with R’s libraries.

Scala 52

Scala Hospitality Machine Learning Healthcare 52

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. you set up to source your data. Data Cleaning — Explaining the data inconsistencies and how did you handle them. I will continue this process if the results are not good on the test set.

Data Science 52

Data Science Datasets Banking Machine Learning 52

Edureka

APRIL 17, 2024

The algorithm is then designed as an easy-to-use generative AI tool to cater to our creative needs. Data analysis: GAI tools can compile and evaluate massive volumes of data in a few minutes. But first, let’s start from the basics! What Is Generative AI? So, what is generative AI ?

Healthcare 40

Healthcare Media Retail Banking 40

Rockset

AUGUST 4, 2021

It continuously loads small data batches and incrementally makes them available for data analysis. Snowpipe loads data within minutes of its ingestion and availability in the staging area. This provides the user with the latest results as soon as the data is available.

Data Ingestion 40

Data Ingestion Cloud Storage Data Warehouse Architecture 40