Knowledge Hut

FEBRUARY 1, 2024

Today, we’ll talk about how Machine Learning (ML) can be used to build a movie recommendation system - from researching data sets & understanding user preferences all the way through training models & deploying them in applications. The heart of this system lies in the algorithm used in movie recommendation system.

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Systems Entertainment Algorithm Datasets 98

Knowledge Hut

MARCH 15, 2024

Then, as you start working, you will utilize this knowledge to optimize vital ML systems and algorithms. These systems are responsible for ingraining complex algorithms into digitized devices and increasing their processing power. For this, you should have robust coding skills in languages like Java, R, and Python.

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Machine Learning Engineering Amazon Web Services Algorithm 52

ProjectPro

JULY 21, 2021

Good knowledge of commonly used machine learning and deep learning algorithms. Strong understanding of statistical techniques used to quantify the results of NLP algorithms. Past experience with utilizing NLP algorithms is considered an added advantage. Hands-on experience with cloud-based platforms such AWS, Azure.

Coding 52

Coding Project Deep Learning Algorithm 52

Knowledge Hut

MARCH 19, 2024

Data science uses and explores a variety of methods, including machine learning (ML), data mining (DM), and artificial intelligence ( AI ). This field is mostly focused on estimation, data analysis results, and understanding of these results. What Does a Software Engineer Do?

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Knowledge Hut

JANUARY 18, 2024

Full-stack data science is a method of ensuring the end-to-end application of this technology in the real world. For an organization, full-stack data science merges the concept of data mining with decision-making, data storage, and revenue generation.

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Knowledge Hut

JULY 7, 2023

The practice of integrating code changes into a common repository and pushing code changes to production in small, periodic batches is known as continuous integration and deployment (CI/CD). Similarly, an AI-powered testing tool might build test cases and analyze test results automatically to discover areas for improvement.

Software Engineer 52

Software Engineer Software Engineering Engineering Data Mining 52

Knowledge Hut

JANUARY 18, 2024

Roles and Responsibilities Design machine learning (ML) systems Select the most appropriate data representation methods. Research and implement machine learning tools and algorithms. Choose data sets. Data Scientists A data scientist’s role is to collect, analyze, and interpret massive amounts of data.

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Knowledge Hut

DECEMBER 21, 2023

It incorporates several analytical tools that help improve the data analytics process. With the help of these tools, analysts can discover new insights into the data. Hadoop helps in data mining, predictive analytics, and ML applications. Why are Hadoop Big Data Tools Needed? The process of serialization is slow.

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Knowledge Hut

NOVEMBER 28, 2023

AI and Machine Learning AI and machine learning, along with application and knowledge of algorithms, continues to be an important part of data engineer skills. Data Mining Tools Metadata adds business context to your data and helps transform it into understandable knowledge.

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Knowledge Hut

JANUARY 18, 2024

Per the BLS, the expected growth rate of job vacancies for data scientists and software engineers is around 22% by 2030. Although both Data Science and Software Engineering domains focus on math, code, data, etc., Is mastering data science beneficial or building software is a better career option?

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Knowledge Hut

DECEMBER 28, 2023

In this blog, we'll talk about intriguing and real-time sample Hadoop projects with source codes that can help you take your data analysis to the next level. Processing massive amounts of unstructured text data requires the distributed computing power of Hadoop, which is used in text mining projects.

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Hadoop Project Datasets Big Data 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.

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Data Science Machine Learning Datasets Algorithm 52

Knowledge Hut

DECEMBER 26, 2023

R for Data Science – By Hadley Wickham and Garret Grolemund Source: amazon.com R is a programming language also used in many Data Science applications. This book will help you in the following ways:- You will learn the basics of coding with the R programming language.

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Data Science Scala Programming Language R (Programming) 52

ProjectPro

DECEMBER 21, 2021

The machine learning career path is perfect for you if you are curious about data, automation, and algorithms, as your days will be crammed with analyzing, implementing, and automating large amounts of knowledge. This includes knowledge of data structures (such as stack, queue, tree, etc.),

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Machine Learning Engineering Algorithm Computer Science 52

Edureka

APRIL 17, 2023

Data mining and cleaning skills Data mining and cleaning skills are crucial for data analysts. Data mining involves identifying patterns and relationships in large datasets, while data cleaning involves removing errors, inconsistencies, and duplicates in the data.

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ProjectPro

JUNE 18, 2021

Java is also used by many big companies including Uber and Airbnb to process their backend algorithms. Get Closer To Your Dream of Becoming a Data Scientist with 70+ Solved End-to-End ML Projects Python is a simple and easy-to-learn programming language. Java for Data Science - Should data scientists learn Java?

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Java Data Science Python Programming Language 52

Knowledge Hut

DECEMBER 6, 2023

Software Developer The role of a Software Developer is one of the best career options after computer engineering which is best suitable for those who love coding and programming. Data Analyst Data Analysts act as a bridge between data science and business. Software Developers have high demand in the IT sector.

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Engineering Computer Science Programming Language Education 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.

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U-Next

SEPTEMBER 29, 2022

A number of hyperparameters are typically included in newer algorithms. The algorithm includes a number of calculations necessary for AI and data mining assignments, such as bunching, relapse, and order. A few lines of code can perform tasks such as changing information, determining features, and combining methods. .

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Knowledge Hut

JUNE 16, 2023

Machine learning is the domain under artificial intelligence, devoted to using algorithms that help machines learn things like humans. The algorithms use historical data as input to predict the outputs until the machine gains human-like proficiency.

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U-Next

SEPTEMBER 29, 2022

A data analyst may also clean or format data, removing unnecessary or unsuitable information or determining how to cope with missing data. . A data analyst often works as part of an integrative team to identify the organization’s goals before managing the process of data mining, cleansing, and analysis.

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Knowledge Hut

JANUARY 18, 2024

In this article, I'll walk you through the fundamentals of Naive Bayes, a robust machine learning algorithm. Understanding conditional probability is crucial in various fields, aiding in decision-making, statistical analysis, and machine learning, where it plays a pivotal role in algorithms like Naive Bayes.

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Machine Learning Algorithm Datasets Python 52

ProjectPro

NOVEMBER 3, 2021

So, if this seems tempting enough and you wish to explore how to freelance as a data scientist, move ahead to the next section of this blog, where we discuss this in detail. That is primarily because the field of Data Science has quite a lot of subdomains to explore. Below is a format that you can use to showcase every project.

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ProjectPro

OCTOBER 28, 2021

List of Prerequisites for Machine Learning Basic Mathematical Prerequisites for Machine Learning Linear Algebra Prerequisites for Machine Learning Is Coding required for Machine Learning? Basic Mathematical Prerequisites for machine learning Linear Algebra Prerequisites for Machine Learning Is Coding Required for Machine Learning?

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Machine Learning Programming Language Datasets Python 52

U-Next

DECEMBER 2, 2022

Data science is a field of study that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured, similar to data mining. R is also very popular among data scientists. Introduction . Finally, keep learning!

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Machine Learning Data Science Programming Language Data Mining 40

U-Next

AUGUST 25, 2022

To ensure that the data processing is simple, it produces too many entities, which uses a lot of memory. Thanks to Seaborn, data representations are simple to plot and use fewer pieces of code to generate visually appealing informational graphs. The matplotlib foundation is built upon the Seaborn Machine Learning library.

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Machine Learning Deep Learning Python Data Mining 40

U-Next

DECEMBER 2, 2022

Python is a versatile language widely used in many fields, including Data Science and Machine Learning. Python is easy to learn and has many libraries that make it possible to do complex tasks with just a few lines of code. Therefore, the importance of Python in Machine Learning and Data Science is justified. .

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Machine Learning Data Science Python Programming Language 40

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.

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Machine Learning Project Deep Learning Datasets 40

U-Next

AUGUST 11, 2022

It’s a study of Computer Algorithms, which helps self-improvement through experiences. It builds a model based on Sample data and is designed to make predictions and decisions without being programmed for it. They bring together development tasks like writing code, architects, continuous engineering, etc.

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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. They have a well-researched collection of data such as ratings, reviews, timestamps, price, category information, customer likes, and dislikes. Such a project comes under the text classification problems.

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Machine Learning Project Datasets Algorithm 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

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.

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Data Science Medical Datasets Machine Learning 52

ProjectPro

JULY 23, 2021

But when it comes to large data sets, determining insights from them through deep learning algorithms and mining them becomes tricky. Image Source: [link] Deep Learning algorithms can imitate the working of the human brain. It creates patterns and feeds on data to make machines eligible to reap decisions on their own.

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Deep Learning Machine Learning Algorithm Datasets 40

U-Next

SEPTEMBER 19, 2022

Data Science is an AI learning path and an interdisciplinary field that applies information from data across various application fields by using scientific methods, procedures, algorithms, and systems to extract knowledge and insights from chaotic organized, and unorganized data. Data Mining.

Data Science 40

Data Science Programming Language Unstructured Data Data Mining 40

Knowledge Hut

FEBRUARY 27, 2023

Data engineering is also about creating algorithms to access raw data, considering the company's or client's goals. Data engineers can communicate data trends and make sense of the data, which large and small organizations demand to perform major data engineer jobs in Singapore.

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

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.

Medical 52

Medical BI Programming Language Healthcare 52

ProjectPro

JUNE 26, 2021

Optimize the implementation of the machine learning and deep learning algorithms for tasks like Image Classification , Object Recognition, and reduce processing time. Actively participate in team meetings with Data Scientists and Machine Learning Engineers to present insightful results timely and neatly. Good communication skills.

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