Knowledge Hut

DECEMBER 26, 2023

Of course, handling such huge amounts of data and using them to extract data-driven insights for any business is not an easy task; and this is where Data Science comes into the picture. Mathematical concepts like Statistics and Probability, Calculus, and Linear Algebra are vital in pursuing a career in Data Science.

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Data Science BI Business Intelligence Machine Learning 97

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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Hadoop Deep Learning Data Science Machine Learning 98

ProjectPro

OCTOBER 16, 2021

TensorFlow and Scikit-learn, two of the most popular words from the jargon of the Machine Learning world! If you are wondering what is the reason behind their popularity, continue reading as we answer that question in this blog by exploring hands-on machine learning with Scikit-learn and TensorFlow.

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Machine Learning Deep Learning Datasets Algorithm 52

ProjectPro

DECEMBER 21, 2021

Did you know that the global machine learning market, according to Fortune Business Insights, is expected to reach a whopping $152.24 Machine learning, unlike other fields, has a global reach when it comes to job opportunities. This includes knowledge of data structures (such as stack, queue, tree, etc.),

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Machine Learning Engineering Algorithm Data Science 52

ProjectPro

AUGUST 16, 2021

In this blog, you will find a list of interesting data mining projects that beginners and professionals can use. Please don’t think twice about scrolling down if you are looking for data mining projects ideas with source code. The dataset has three files, namely features_data, sales_data, and stores_data.

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Data Mining Coding Project Datasets 40

U-Next

FEBRUARY 26, 2023

with the help of Data Science. Data Science is a broad term that encompasses many different disciplines, such as Machine Learning, Artificial Intelligence (AI), Data Visualization, Data Mining, etc. Google has an entire division devoted to AI and Machine Learning: Google Brain.

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ProjectPro

OCTOBER 28, 2021

In this blog, we have mentioned all the topics that are considered as prerequisites for learning machine learning. We have covered all the subjects and the best resources that will help you learn them thoroughly. Machine learning is no exception to that. Why should you learn Machine learning?

Machine Learning 52

Machine Learning Programming Language Datasets Python 52

Knowledge Hut

MAY 1, 2024

These steps will help understand the data, extract hidden patterns and put forward insights about the data. Many analyses have revealed that Data Scientist, Machine Learning Engineer, Artificial Intelligence Engineer are some of the most sought-after jobs. Not to forget the high pay that comes with it.

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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

U-Next

AUGUST 25, 2022

Machine Learning libraries , like Pandas, Numpy, Matplotlib, OpenCV, Flask, Seaborn, etc., They are characterized as an authored syntax to carry out repetitive tasks such as mathematics calculations, visualizing data sources, having to read images, etc. Introduction. interact with a body of norms or optimize functional areas.

Machine Learning 40

Machine Learning Deep Learning Python Data Mining 40

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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Knowledge Hut

MAY 3, 2024

If you are thinking of a simple, easy-to-implement supervised machine learning algorithm that can be used to solve both classifications as well as regression problems, K-Nearest Neighbors (K-NN) is a perfect choice. Learning K-Nearest Neighbors is a great way to introduce yourself to machine learning and classification in general.

Machine Learning 52

Machine Learning Algorithm Datasets Python 52

Knowledge Hut

JANUARY 18, 2024

Data science is the study of huge amounts of data using current tools and methodologies to discover previously unknown patterns, extract valuable information, and make business choices. To create prediction models, data scientists employ sophisticated machine learning algorithms. Clean up the data.

Data Science 98

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U-Next

SEPTEMBER 13, 2022

Before we begin, rest assured that this compilation contains Data Science interview questions for freshers as well as early professionals. You will also learn top Machine Learning interview questions along the way! . Due to the immense value of data, Data Science has become increasingly popular over time.

Machine Learning 40

Machine Learning Data Science Deep Learning Algorithm 40

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. Get to know more about data science management.

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Data Science Computer Science Programming Language Machine Learning 96

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.

Machine Learning 40

Machine Learning Algorithm Data Mining Utilities 40

ProjectPro

AUGUST 13, 2021

If you are a beginner searching for Machine Learning GitHub Projects, you are on the right page. Below you will find a list of Machine Learning projects on Github that are beginner-friendly and popular among Data Science enthusiasts. Face Detection Kaggle Machine Learning Projects on GitHub 1.

Machine Learning 40

Machine Learning Project Deep Learning Algorithm 40

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. You will learn about Python, SQL, statistical modeling and data analysis.

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Data Science Certification Business Analyst Machine Learning 97

ProjectPro

JANUARY 15, 2021

Undoubtedly, everyone knows that the only best way to learn data science and machine learning is to learn them by doing diverse projects. But yes, there is definitely no other alternative to data science and machine learning projects. Table of Contents What is a dataset in machine learning?

Machine Learning 40

Machine Learning Datasets Retail Banking 40

Knowledge Hut

FEBRUARY 1, 2024

Machine learning (ML) offers just that - an advanced technology to help users find the exact films they want. To ensure that the algorithms used in the system are valid & effective, professionals in the industry aim to achieve certification through a Machine Learning certification exam. Let's explore together!

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Systems Entertainment Algorithm Datasets 98

Pinterest Engineering

MARCH 5, 2024

Yulin Lei | Senior Machine Learning Engineer; Kaili Zhang | Staff Machine Learning Engineer; Sharare Zahtabian | Machine Learning Engineer II; Randy Carlson | Machine Learning Engineer I; Qifei Shen | Senior Staff Machine Learning Engineer Introduction Pinterest strives to deliver high-quality ads and maintain a positive user experience.

Machine Learning 78

Machine Learning Deep Learning Architecture Data Mining 78

Knowledge Hut

MAY 9, 2024

They deploy and maintain database architectures, research new data acquisition opportunities, and maintain development standards. Average Annual Salary of Data Architect On average, a data architect makes $165,583 annually. Average Annual Salary of Big Data Engineer A big data engineer makes around $120,269 per year.

Data Science 52

Data Science Data Architect Data Mining Programming Language 52

Knowledge Hut

JUNE 11, 2024

In recent years, Machine Learning, Artificial Intelligence, and Data Science have become some of the most talked-about technologies. Companies of all sizes are investing millions of dollars in data analysis and on professionals who can build these exceptionally powerful data-driven products.

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Java Data Science Programming Language Scala 52

U-Next

SEPTEMBER 29, 2022

Scikit Learn . There are many Machine Learning libraries, but Scikit-learn is one of the most famous. Numerous calculations related to supervised and unsupervised learning are based on it. You are likely to have learned about, attempted, or executed deep learning calculations if you have worked in AI.

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Management Machine Learning Deep Learning Algorithm 52

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. is highly beneficial.

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Medical Computer Science Machine Learning Scala 52

ProjectPro

FEBRUARY 16, 2023

Predictive and prescriptive analytics, machine learning, and deep learning. Input Data Structured data from various sources, such as databases, spreadsheets, and ERP systems. Structured, semi-structured, and unstructured data from multiple sources, such as social media, IoT devices, and sensors.

Business Intelligence 52

Business Intelligence BI Data Mining Algorithm 52

Knowledge Hut

DECEMBER 26, 2023

Some of the reasons why this book is ideal for beginner-level students are listed below: It covers topics that are fundamental in the field of data science The language is easy to comprehend You will learn the basics of statistics in data science Important topics like distribution, randomization, sampling, and the like are covered in depth.

Data Science 52

Data Science Programming Language Scala R (Programming) 52

Knowledge Hut

JUNE 10, 2024

Pattern Among the various Python frameworks available, Pattern is particularly well-suited for Data Science tasks. It provides a comprehensive set of tools for Data Mining, Machine learning, and Natural Language Processing. Easy data preprocessing and normalization. Support for multiple evaluation metrics.

Data Science 52

Data Science Python Deep Learning Machine Learning 52

RandomTrees

NOVEMBER 25, 2024

Generative AI employs ML and deep learning techniques in data analysis on larger datasets, resulting in produced content that has a creative touch but is also relevant. In the telecom sector, this technology is assisting with operations, customer satisfaction as well as business development.

Telecommunication 52

Telecommunication IT Unstructured Data 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

ProjectPro

JANUARY 24, 2023

Project Idea: NLP Project to Build a Resume Parser in Python using Spacy Gensim Gensim is the Python library used for vectorizing textual data before passing the data at the input of a machine learning model. It is one of the leading libraries for working with textual data.

Python 52

Python Project Programming Language Data Mining 52

ProjectPro

JUNE 18, 2021

Why do data scientists love Python for Data Science? This is the major reason Python has shown itself to be a prevalent choice for Data Science. There are always new data science and machine learning libraries rolled out to meet different data science requirements. renamed to Java.

Java 52

Java Data Science Python Programming Language 52

ProjectPro

JULY 21, 2021

As we already revealed in our Machine Learning NLP Interview Questions with Answers in 2021 blog, a quick search on LinkedIn shows about 20,000+ results for NLP-related jobs. Good knowledge of commonly used machine learning and deep learning algorithms.

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Coding Project Deep Learning Algorithm 52

ProjectPro

JUNE 9, 2021

For example, companies can leverage data-driven business insights to predict customer behavior using algorithms and techniques and enhance overall customer experiences. One may use the processed data in other processes like data visualizations, business analytics, etc. is essential to becoming a Data Engineering professional.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

MAY 23, 2024

BigML: BigML is an online, cloud-based, event-driven tool that helps in data science and machine learning operations. For professionals and companies, BigML is a tool that can help blend data science and machine learning projects for various business operations and processes.

Data Science 52

Data Science MongoDB Programming Language Hadoop 52

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.

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Knowledge Hut

JANUARY 19, 2024

Acknowledging the escalating demand for data scientists, institutions globally are intensifying efforts to provide comprehensive training aligned with the Data Science Course Syllabus. Exploring data science, I focus on key topics like statistical analysis, machine learning, data visualization, and programming in my course syllabus.

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