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.

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Data Science R (Programming) Computer Science Algorithm 98

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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Knowledge Hut

DECEMBER 26, 2023

In this list, you will find the best data scientist books to take you further in your career as a data scientist. Deep Learning By Ian Goodfellow, Yoshua Bengio, and Aaron Courville As an advanced learner, this book should be your Bible for learning about deep learning algorithms.

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Data Science Scala Programming Language R (Programming) 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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U-Next

AUGUST 8, 2022

What Are the Distinctions Between Machine Learning and Data Mining? In contrast, information mining is the practice of trying to remove information or intriguing patterns from unstructured data. Learning algorithms are applied in this processing system. The system is not taught on labelled data.

Machine Learning 52

Machine Learning Deep Learning Algorithm Data Mining 52

ProjectPro

DECEMBER 21, 2021

Machine learning, unlike other fields, has a global reach when it comes to job opportunities. 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.

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U-Next

SEPTEMBER 13, 2022

A multidisciplinary field called Data Science involves unprocessed data mining, its analysis, and discovering patterns utilized to extract meaningful information. The fundamental building blocks of Data Science are Statistics, Machine Learning, Computer Science, Data Analysis, Deep Learning, and Data Visualization. .

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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.

Business Intelligence 52

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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. Design NLP-based applications to solve customer needs.

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Coding Project Deep Learning Algorithm 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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ProjectPro

OCTOBER 18, 2021

Machine Learning Projects are the key to understanding the real-world implementation of machine learning algorithms in the industry. Apart from that, libraries like ggplot, reshape2, data.table will complement your machine learning project. Dummy datasets like univariate time-series datasets, shampoo sales datasets, etc.,

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Machine Learning Project Datasets Algorithm 52

U-Next

OCTOBER 27, 2022

AI is a branch of computer science that deals with making computers intelligent by writing algorithms with human-like characteristics like learning and problem-solving. AI helps develop self-learning systems that can learn from experience without requiring human intervention or programming effort. .

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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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U-Next

OCTOBER 16, 2022

AI is a branch of computer science that deals with making computers intelligent by writing algorithms with human-like characteristics like learning and problem-solving. AI helps develop self-learning systems that can learn from experience without requiring human intervention or programming effort. .

Cloud Computing 40

Cloud Computing Cloud Algorithm Machine Learning 40

ProjectPro

AUGUST 13, 2021

Face Detection Kaggle Machine Learning Projects on GitHub 1. COVID-19 Dataset Analysis and Prediction 5. House Price Prediction Open Source Machine Learning Projects on GitHub 1. Predictive Analytics Predictive Analytics involves using data science methods to estimate the value of a quantity necessary for decision making.

Machine Learning 40

Machine Learning Project Deep Learning Datasets 40

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’s a study of Computer Algorithms, which helps self-improvement through experiences. Like Java, C, Python, R, and Scala. is highly beneficial.

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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. It allows high-performance management of data using its powerful data structures. Pandas allow cleaning of messy datasets enabling them to be more readable and relevant. Deeplearning4J is a composable framework.

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ProjectPro

JUNE 26, 2021

Here is a list of them: Use Deep learning models on the company's data to derive solutions that promote business growth. Leverage machine learning libraries in Python like Pandas, Numpy, Keras, PyTorch, TensorFlow to apply Deep learning and Natural Language Processing on huge amounts of data.

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Project Deep Learning Datasets Medical 40

ProjectPro

OCTOBER 28, 2021

Machine Learning is receiving so much traction because it reveals insightful facts from a given dataset that would not have been gained access to by using other tools. It simplifies complex problems by making probabilistic predictions for specific parameters in the dataset. The videos are short and to the point.

Machine Learning 52

Machine Learning Programming Language Datasets Python 52

ProjectPro

JUNE 9, 2021

It converts data using various tools and technologies and builds data modeling solutions that offer helpful and valuable insights to solve business problems. For example, companies can leverage data-driven business insights to predict customer behavior using algorithms and techniques and enhance overall customer experiences.

Data Engineering 52

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Knowledge Hut

APRIL 20, 2023

To combat these dirty challenges thrown by hackers, the field of data science has emerged as a powerful player in the battleground against cybercrimes. So put on your cyber shades and get ready to dive into the exciting world of Cyber security vs Data science. A master's degree or a doctorate is desirable.

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U-Next

AUGUST 16, 2022

Introduction: About Deep Learning Python. Initiatives based on Machine Learning (ML) and Artificial Intelligence (AI) are what the future has in store. What Is Deep Learning Python? Python is also intriguing to many developers since it is simple to learn. Deep Learning’s Top Python Libraries.

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Deep Learning Python Programming Language Machine Learning 52

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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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. Table of Contents What is a dataset in machine learning? Why you need machine learning datasets? Where can I find datasets for machine learning?

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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. Expiration - No expiry 5.

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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

OCTOBER 26, 2021

A machine learning framework is a tool that lets software developers, data scientists, and machine learning engineers build machine learning models without having to dig into the underlying working principle(math and stat) of the machine learning algorithms. It can operate on both CPUs and GPUs.

Machine Learning 52

Machine Learning Programming Language Healthcare Deep Learning 52

ProjectPro

OCTOBER 16, 2021

It contains codes to support the implementation of machine learning algorithms in Python. Not only that, but it also provides the option to effortlessly use various popular datasets like MNIST, California Housing, etc. Additionally, Scikit-Learn offers different metrics to test the efficiency of different algorithms.

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Machine Learning Deep Learning Datasets Algorithm 52

Knowledge Hut

JANUARY 18, 2024

It is an interdisciplinary science with multiple approaches, and advancements in Machine Learning and deep learning are creating a paradigm shift in many sectors of the IT industry across the globe. SQL for data migration 2. Python libraries such as pandas, NumPy, plotly, etc.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

ProjectPro

AUGUST 5, 2021

Candidates are aware of the keyword matching algorithm, and many of them insert as many keywords as possible into their resumes to get shortlisted by the company. You can use the Resume Dataset available on Kaggle to build this model. This dataset contains only two columns — job title and the candidate’s resume information.

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Project Datasets Deep Learning Machine Learning 52

ProjectPro

JANUARY 25, 2022

Furthermore, PySpark allows you to interact with Resilient Distributed Datasets (RDDs) in Apache Spark and Python. Because of its interoperability, it is the best framework for processing large datasets. Easy Processing- PySpark enables us to process data rapidly, around 100 times quicker in memory and ten times faster on storage.

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Big Data Data Process Process Kafka 52

ProjectPro

DECEMBER 22, 2016

Data Analyst Interview Questions and Answers 1) What is the difference between Data Mining and Data Analysis? Data Mining vs Data Analysis Data Mining Data Analysis Data mining usually does not require any hypothesis. Data analysis involves data cleaning.

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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.

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Machine Learning Algorithm Data Mining Utilities 40

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. Data Mining — How did you scrape the required data ? you set up to source your data. Consider the interviewer has given you access to the dataset.

Data Science 52

Data Science Datasets Banking Machine Learning 52

ProjectPro

AUGUST 24, 2021

And if you are aspiring to become a data engineer, you must focus on these skills and practice at least one project around each of them to stand out from other candidates. Explore different types of Data Formats: A data engineer works with various dataset formats like.csv,josn,xlx, etc.

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Data Engineering Data Engineer Coding Project 52

Knowledge Hut

FEBRUARY 7, 2023

We can divide the types of Data Science Platforms into 3 parts. Automation Tools These tools help engineers to automate repetitive tasks in data science, including training models, selecting algorithms, and more. Gets slow when working on heavy Deep Learning Algorithms 2. They are: 1. Platform H2O.ai

Data Science 52

Data Science Google Cloud Programming Language AWS 52

ProjectPro

MARCH 12, 2016

The coexistence of Hadoop with traditional data platforms , helps data scientists run exploratory queries for hypothesis testing and research on the data stored in Hadoop, whereas BI analysts can find answers to their reporting questions - using in-memory systems like SAP HANA.

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