Knowledge Hut

NOVEMBER 2, 2023

Among various such implementations, two of the most prominent subsets that have garnered enough attention are Generative AI and Machine Learning. Both Generative AI and Machine Learning share the common goal of enabling machines to learn and make predictions.

Machine Learning 52

Machine Learning Deep Learning Utilities Medical 52

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?

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Knowledge Hut

JANUARY 18, 2024

This can sometimes cause confusion regarding their applications in real-world problems and for learning purposes. The key connection between Data Science and AI is data. Some may argue that AI and Machine Learning fall within the broader category of Data Science , but it's essential to recognize the subtle differences.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

Knowledge Hut

DECEMBER 22, 2023

Data analytics, data mining, artificial intelligence, machine learning, deep learning, and other related matters are all included under the collective term "data science" When it comes to data science, it is one of the industries with the fastest growth in terms of income potential and career opportunities.

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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

ProjectPro

FEBRUARY 25, 2022

What is a Machine Learning Pipeline? A machine learning pipeline helps automate machine learning workflows by processing and integrating data sets into a model, which can then be evaluated and delivered. Table of Contents What is a Machine Learning Pipeline?

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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.

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ProjectPro

OCTOBER 18, 2021

Machine Learning Projects are the key to understanding the real-world implementation of machine learning algorithms in the industry. It is because these apps render machine learning models that try to understand the customer's taste. can help you model such machine learning projects.

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ProjectPro

OCTOBER 27, 2021

Wondering how to implement machine learning in finance effectively and gain valuable insights? This blog presents the topmost useful machine learning applications in finance to help you understand how financial markets thrive by adopting AI and ML solutions.

Finance 52

Finance Machine Learning Project Banking 52

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? A necessary evil. What questions should I ask them? The good news?

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AltexSoft

NOVEMBER 17, 2021

So businesses employ machine learning (ML) and Artificial Intelligence (AI) technologies for classification tasks. Namely, we’ll look at how rule-based systems and machine learning models work in this context. It requires extracting raw data from claims automatically and applying NLP for analysis.

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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

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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 Telecommunication 97

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.

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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.

Data Science 40

Data Science Deep Learning NoSQL Machine Learning 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

AltexSoft

AUGUST 25, 2021

Natural language processing or NLP is a branch of Artificial Intelligence that gives machines the ability to understand natural human speech. But today’s programs, armed with machine learning and deep learning algorithms, go beyond picking the right line in reply, and help with many text and speech processing problems.

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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.

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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.

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Business Intelligence BI Data Mining Raw Data 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. It can be used for web scraping, machine learning, and natural language processing.

Programming Language 52

Programming Language Programming Scala Pharmaceutical 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

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).

IT 52

IT Hospitality Healthcare Deep Learning 52

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

Knowledge Hut

FEBRUARY 2, 2024

Artificial Intelligence Course With the availability of big data and the rapid development of Machine Learning, Artificial Intelligence is the game’s name, as witnessed by the massive rise in the number of businesses depending on AI. Skills Required: Good command of programming languages such as C, C++, Java, and Python.

Programming Language 98

Programming Language Amazon Web Services Cloud Computing Java 98

ProjectPro

FEBRUARY 19, 2021

Regression analysis is the favorite of data science and machine learning practitioners as it provides a great level of flexibility and reliability making it an ideal choice for analyzing different situations like - Do educational degrees and IQ affect salary? Is consuming caffeine and smoking-related to mortality risk?

Machine Learning 40

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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

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ProjectPro

JULY 12, 2021

The demand for data-related roles has increased massively in the past few years. 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. What is an AI Engineer?

Engineering 40

Engineering Deep Learning Software Engineer Software Engineering 40

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

ProjectPro

SEPTEMBER 26, 2021

Big Data Engineer performs a multi-faceted role in an organization by identifying, extracting, and delivering the data sets in useful formats. A Big Data Engineer also constructs, tests, and maintains the Big Data architecture. Data Scientists use ML algorithms to make predictions on the data sets.

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Big Data Data Engineering Data Engineer Engineering 52

U-Next

AUGUST 18, 2022

Data Scientist is a highly dynamic job and requires a person to be well-versed in AI, business intelligence, Machine Learning earning, etc. Learn more about it here. What Does a Data Scientist Do? You could receive ten different responses if you consult ten distinct Data Scientists with the same question.

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Unstructured Data Medical Data Science Business Intelligence 40

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. This industry is slow to adopt new practices, due to being highly regulated and driven by policies (which is understandable, given that people's private data and health is at stake).

Healthcare 52

Healthcare Data Pipeline Medical Pipeline-centric 52

AltexSoft

MARCH 18, 2022

Machine learning is no exception. You’ve probably heard of two main ML techniques — supervised and unsupervised learning. The mixture of two gave birth to the happy medium known as semi-supervised learning. Supervised vs unsupervised vs semi-supervised machine learning in a nutshell.

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Datasets Machine Learning Algorithm Raw Data 52

ProjectPro

JULY 26, 2021

Developed by the Google Brain Team, TensorFlow is an open-source platform that helps machine learning engineers and data scientists build models and deploy applications easily. Deep Learning in Medical Imaging using TensorFlow 5. Now that we have emphasized (although perhaps not strongly enough!)

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ProjectPro

OCTOBER 29, 2021

Since then, many other well-loved terms, such as “data economy,” have come to be widely used by industry experts to describe the influence and importance of big data in today’s society. This is why we will get back to the über important topic of improving data quality by preprocessing in the later section.

Data Mining 52

Data Mining Datasets Machine Learning Metadata 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.

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ProjectPro

MAY 31, 2021

A big data project is a data analysis project that uses machine learning algorithms and different data analytics techniques on a large dataset for several purposes, including predictive modeling and other advanced analytics applications.

Big Data 52

Big Data Coding Project Hadoop 52

U-Next

AUGUST 25, 2022

Artificial Intelligence is indeed the science of Machine Learning. Making people aware of current Machine Learning models and developments and enabling them to comprehend original data is the main goal of Machine Learning cheat sheets. How Does Machine Learning Work? Supervised Learning.

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