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 Deep Learning Healthcare 122

Knowledge Hut

MAY 1, 2024

This is where Data Science comes into the picture. The art of analysing the data, extracting patterns, applying algorithms, tweaking the data to suit our requirements, and more – are all part s of data science. Data cleaning This is considered as one of the most important steps in data science.

Algorithm 98

Algorithm Data Science Raw Data Computer Science 98

Knowledge Hut

DECEMBER 29, 2023

Professionals from a variety of disciplines use data in their day-to-day operations and feel the need to understand cutting-edge technology to get maximum insights from the data, therefore contributing to the growth of the organization. Learning Outcomes: Acquire the skills necessary to assess models developed from data.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

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

MAY 30, 2024

Evolutionary Algorithms and their Applications 9. Big Data Analytics in the Industrial Internet of Things 4. Machine Learning Algorithms 5. Data Mining 12. KnowledgeHut’s Programming course for beginners will help you learn the most in-demand programming languages and technologies with hands-on projects.

Computer Science 98

Computer Science Data Mining Algorithm Machine Learning 98

ProjectPro

APRIL 12, 2021

Deep learning job interviews. Most beginners in the industry break out in a cold sweat at the mere thought of a machine learning or a deep learning job interview. How do I prepare for my upcoming deep learning job interview? What kind of deep learning interview questions they are going to ask me?

Deep Learning 40

Deep Learning Datasets Machine Learning Algorithm 40

Knowledge Hut

NOVEMBER 27, 2023

How would one know what to sell and to which customers, based on data? This is where Data Science comes into the picture. Data Science is a field that uses scientific methods, algorithms, and processes to extract useful insights and knowledge from noisy data.

Data Science 97

Data Science Healthcare Machine Learning Algorithm 97

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

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. The process of cooking the right food for your algorithm falls into two key steps.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59

ProjectPro

JANUARY 19, 2022

The first step is to work on cleaning it and eliminating the unwanted information in the dataset so that data analysts and data scientists can use it for analysis. That needs to be done because raw data is painful to read and work with. Knowledge of popular big data tools like Apache Spark, Apache Hadoop, etc.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

FEBRUARY 16, 2023

Business Intelligence and Artificial Intelligence are popular technologies that help organizations turn raw data into actionable insights. While both BI and AI provide data-driven insights, they differ in how they help businesses gain a competitive edge in the data-driven marketplace.

Business Intelligence 52

Business Intelligence BI Data Mining Algorithm 52

Knowledge Hut

FEBRUARY 2, 2024

While artificial intelligence is a broad domain, various subdomains like deep learning and artificial neural networks have abundant opportunities shortly. Problem-solving capabilities Software management Cloud computing Concepts such as data structures and algorithms, development frameworks, APIs, networking and version control.

Programming Language 98

Programming Language Amazon Web Services Cloud Computing Java 98

RandomTrees

DECEMBER 20, 2023

To replicate human cognition, AI uses a system named deep neural network. Federated deep learning is also a promising technology that could improve edge AI’s privacy and security. As they get trained, these DNNs result in many examples of specific types of questions and the correct answers.

IT 52

IT Hospitality Healthcare Deep Learning 52

ProjectPro

FEBRUARY 25, 2022

Evolution of Machine Learning Applications in Finance : From Theory to Practice Here are some significant advantages of implementing a data pipeline in machine learning- Efficient Scheduling and Runtime As the machine learning process evolves, you need to repeat many aspects of the machine learning pipeline throughout the organization.

Machine Learning 52

Machine Learning Building Amazon Web Services AWS 52

Knowledge Hut

JUNE 20, 2023

Factors Data Engineer Machine Learning Definition Data engineers create, maintain, and optimize data infrastructure for data. In addition, they are responsible for developing pipelines that turn raw data into formats that data consumers can use easily.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

Edureka

AUGUST 2, 2023

Python offers a strong ecosystem for data scientists to carry out activities like data cleansing, exploration, visualization, and modeling thanks to modules like NumPy, Pandas, and Matplotlib. Data scientists can also organize unstructured raw data using SQL so that it can be analyzed with statistical and machine learning methods.

Programming Language 52

Programming Language Programming Scala Pharmaceutical 52

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

ProjectPro

JUNE 9, 2021

Data Science- Definition Data Science is an interdisciplinary branch encompassing data engineering and many other fields. Data Science involves applying statistical techniques to raw data, just like data analysts, with the additional goal of building business solutions.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

AltexSoft

NOVEMBER 17, 2021

It requires extracting raw data from claims automatically and applying NLP for analysis. Training neural networks and implementing them into your classifier can be a cumbersome task since they require knowledge of deep learning and quite large datasets. That’s when unsupervised machine learning can help.

Machine Learning 75

Machine Learning Insurance Medical Healthcare 75

AltexSoft

DECEMBER 21, 2021

When people hear about artificial intelligence, deep learning, and machine learning , many think of movie-like robots that resemble or even outperform human intelligence. Others believe that such machines simply consume information and learn from it by themselves. What is data labeling? Synthetic data development.

Machine Learning 52

Machine Learning Process Raw Data Datasets 52

ProjectPro

JULY 12, 2021

Companies are actively seeking talent in these areas, and there is a huge market for individuals who can manipulate data, work with large databases and build machine learning algorithms. While data science is the most hyped-up career path in the data industry, it certainly isn't the only one.

Engineering 40

Engineering Deep Learning Software Engineer Software Engineering 40

Knowledge Hut

JULY 28, 2023

Data Labeling is the process of assigning meaningful tags or annotations to raw data, typically in the form of text, images, audio, or video. These labels provide context and meaning to the data, enabling machine learning algorithms to learn and make predictions. How Does Data Labeling Work?

Machine Learning 52

Machine Learning Process Datasets Raw Data 52

ProjectPro

OCTOBER 18, 2021

Machine Learning Projects are the key to understanding the real-world implementation of machine learning algorithms in the industry. To build such ML projects, you must know different approaches to cleaning raw data. To develop such algorithms, you need to have a thorough understanding of the following: a.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

DareData

JULY 29, 2020

We have heard news of machine learning systems outperforming seasoned physicians on diagnosis accuracy, chatbots that present recommendations depending on your symptoms , or algorithms that can identify body parts from transversal image slices , just to name a few. Good data pipelines are essential for any data-driven company.

Data Pipeline 52

Data Pipeline Healthcare Medical Pipeline-centric 52

Knowledge Hut

JANUARY 22, 2024

Data science is a field of study that combines industry expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data. Data scientists apply machine learning algorithms to numbers, text, images, video, audio, and more to create artificial intelligence (AI) systems.

Data Science 52

Data Science Banking Big Data Insurance 52

Edureka

JANUARY 18, 2024

This guide provides a comprehensive understanding of the essential skills and knowledge required to become a successful data scientist, covering data manipulation, programming, mathematics, big data, deep learning, and machine learning technologies. What is Data Science?

Data Science 40

Data Science Deep Learning Machine Learning NoSQL 40

ProjectPro

SEPTEMBER 26, 2021

You must be aware of Amazon Web Services (AWS) and the data warehousing concept to effectively store the data sets. Machine Learning: Big Data, Machine Learning, and Artificial Intelligence often go hand-in-hand. Data Scientists use ML algorithms to make predictions on the data sets.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

U-Next

SEPTEMBER 23, 2022

It offers data that makes it easier to comprehend how the company is doing on a global scale. Additionally, it is crucial to present the various stakeholders with the current raw data. Drill-down, data mining, and other techniques are used to find the underlying cause of occurrences. Diagnostic Analytics.

Data Mining 40

Data Mining Business Analyst Deep Learning Algorithm 40

ProjectPro

OCTOBER 27, 2021

The huge volumes of financial data have helped the finance industry streamline processes, reduce investment risks, and optimize investment portfolios for clients and companies. There is a wide range of open-source machine learning algorithms and tools that fit exceptionally with financial data. Our data is imbalanced.

Finance 52

Finance Machine Learning Project Banking 52

Knowledge Hut

NOVEMBER 2, 2023

AI systems can minutely analyze existing compositions and generate new musical pieces based on learned patterns. Some of the most common applications of machine learning include: c. While many people have questions like “Is generative AI a type of deep learning?”, How Are They Similar?

Machine Learning 52

Machine Learning Deep Learning Utilities Medical 52

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

ProjectPro

DECEMBER 22, 2016

Data analysis involves data cleaning. Results of data mining are not always easy to interpret. Data analysts interpret the results and convey the to the stakeholders. Data mining algorithms automatically develop equations. Data analysts have to develop their own equations based on the hypothesis.

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52

U-Next

AUGUST 25, 2022

They will employ the information in Machine Learning models that individuals and organizations may use after they have a deeper knowledge of the raw and different data formats. How Does Machine Learning Work? The subject of Machine Learning cheat sheets is constantly expanding and evolving. Supervised Learning.

Machine Learning 40

Machine Learning Algorithm Data Mining Utilities 40

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 Data Science Medical Business Intelligence 40

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

AltexSoft

MARCH 18, 2022

Supervised learning is training a machine learning model using the labeled dataset. Organic labels are often available in data, but a process may involve a human expert that adds tags to raw data to show a model the target attributes (answers). Supervised learning has a few limitations.

Datasets 52

Datasets Machine Learning Algorithm Raw Data 52

AltexSoft

JUNE 26, 2023

Data collection revolves around gathering raw data from various sources, with the objective of using it for analysis and decision-making. It includes manual data entries, online surveys, extracting information from documents and databases, capturing signals from sensors, and more.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52