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. K-Nearest Neighbors is one of the most basic supervised machine learning algorithms, yet very essential.

Machine Learning 52

Machine Learning Algorithm Datasets Python 52

Data Engineering Podcast

JULY 31, 2022

This is easy to achieve when you are working on small datasets, but as they scale up beyond what can fit on a single machine those short iterations quickly become long and tedious. What are some of the novel algorithms that you have had to design to support Arkouda’s objectives? Can you describe how Arkouda is implemented?

Data Analysis 100

Data Analysis MongoDB Algorithm MySQL 100

Towards Data Science

AUGUST 29, 2023

Today, we will delve into the intricacies the problem of missing data , discover the different types of missing data we may find in the wild, and explore how we can identify and mark missing values in real-world datasets. and 2.2.4.). If you’re also a visual learner like me, you’d like to “ see ” it, right? Image by Author.

Datasets 100

Datasets Machine Learning Data Data Science 100

Knowledge Hut

NOVEMBER 27, 2023

Data Science is a field that uses scientific methods, algorithms, and processes to extract useful insights and knowledge from noisy data. Learn Data Analysis with Python Now that you know how to code in Python start picking toy datasets to perform analysis using Python. This is where Data Science comes into the picture.

Data Science 97

Data Science Healthcare Machine Learning Algorithm 97

Data Engineering Podcast

AUGUST 17, 2020

If you hand a book to a new data engineer, what wisdom would you add to it? Datadog uses machine-learning based algorithms to detect errors and anomalies across your entire stack—which reduces the time it takes to detect and address outages and helps promote collaboration between Data Engineering, Operations, and the rest of the company.

Data Engineering 100

Data Engineering Data Engineer Engineering Database Design 100

ProjectPro

JANUARY 15, 2021

And honestly, there are a lot of real-world machine learning datasets around you that you can opt to start practicing your fundamental data science and machine learning skills, even without having to complete a comprehensive data science or machine learning course. Table of Contents What is a dataset in machine learning?

Machine Learning 40

Machine Learning Datasets Retail Banking 40

ProjectPro

SEPTEMBER 29, 2021

Table of Contents Learning Probability and Statistics for Machine Learning Best Statistics Book for Machine Learning Best Probability Book for Machine Learning How to choose the Best Statistics Course for Machine Learning? The first one is to understand the dataset, and this is where you require knowledge of statistics.

Machine Learning 52

Machine Learning Insurance Algorithm Datasets 52

AltexSoft

FEBRUARY 21, 2023

The key objective behind this task is to set the best booking prices to entice customers and ensure that hotels take full advantage of their business potential. This blog post will delve into the challenges, approaches, and algorithms involved in hotel price prediction. What is hotel price prediction?

Hospitality 52

Hospitality Datasets Algorithm Machine 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.

Machine Learning 52

Machine Learning Deep Learning Datasets Algorithm 52

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.

Machine Learning 52

Machine Learning Programming Language Datasets Python 52

ProjectPro

JULY 9, 2021

Suppose you’re among those fascinated by the endless possibilities of deep learning technology and curious about the popular deep learning algorithms behind the scenes of popular deep learning applications. Table of Contents Why Deep Learning Algorithms over Traditional Machine Learning Algorithms? What is Deep Learning?

Deep Learning 40

Deep Learning Algorithm Machine Learning Datasets 40

ProjectPro

NOVEMBER 11, 2021

Learn C++ for Computer Vision Best Books to Learn Computer Vision FAQs Q1. The Open Source Computer Vision Library contains more than 2500 real-time computer vision algorithms , detailed documentation, and sample code. This project allows you to implement some of the complex CV algorithms and concepts using the OpenCV library.

Programming Language 52

Programming Language Deep Learning Machine Learning Algorithm 52

AltexSoft

NOVEMBER 15, 2022

The same formula goes for vacation rental property management, but instead of rooms, you calculate the percentage of booked vacation rental units. For example, if you run 85 vacation rentals and 70 of them are booked tonight, then tonight’s occupancy rate is around 82 percent (70 divided by 85 and multiplied by 100). Data sources.

Hospitality 52

Hospitality Building Datasets Machine 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. Interact with the data scientists team and assist them in providing suitable datasets for analysis. This book has detailed chapters that have been divided into eight parts.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

JANUARY 19, 2024

In data science, we use various tools, processes, and algorithms to extract insights from structured and unstructured data. Imagine having the ability to extract meaningful insights from diverse datasets, being the architect of informed strategies that drive business success. Unveiling patterns hidden in vast datasets.

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

AltexSoft

MAY 5, 2023

AI in a nutshell Artificial Intelligence (AI) , at its core, is a branch of computer science that focuses on developing algorithms and computer systems capable of performing tasks that typically require human intelligence. Deep Learning is a subset of machine learning that focuses on building complex algorithms named deep neural networks.

Machine Learning 59

Machine Learning Hospitality Algorithm Deep Learning 59

Knowledge Hut

MARCH 27, 2024

In simpler terms, a database is where information is neatly stored, like books on shelves, while data structures are the behind-the-scenes helpers, ensuring data is well-organized and easy to find. Essential in programming for tasks like sorting, searching, and organizing data within algorithms.

Database 52

Database Algorithm Relational Database PostgreSQL 52

ProjectPro

DECEMBER 10, 2021

Along with that, deep learning algorithms and image processing methods are also used over medical reports to support a patient’s treatment better. One can use their dataset to understand how they work out the whole process of the supply chain of various products and their approach towards inventory management.

Business Intelligence 52

Business Intelligence Coding Project BI 52

AltexSoft

JUNE 21, 2023

The formula for vacation rental ADR is as follows: In the formula: the “total rental revenue represents the total revenue earned from a reservation, including daily rates and cleaning fee; the “number of nights booked” is the sum of all individual nights that guests have stayed or will stay at the property.

Hospitality 52

Hospitality Management Machine Learning Datasets 52

ProjectPro

OCTOBER 6, 2021

It is needed to understand machine learning and deep learning algorithms that are used along with NLP techniques. We will first shine some light on all the subjects and topics you must know for NLP and book recommendations for each one. Recommended Book: Calculus (2002) by Monty J. Strauss, Gerald L. Bradley, and Karl J.

Deep Learning 52

Deep Learning Programming Language Machine Learning Algorithm 52

AltexSoft

NOVEMBER 17, 2021

If you’ve ever been to a bookstore, you probably know the dilemma of the book location. 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. Stating categories and collecting training dataset. Model training.

Machine Learning 75

Machine Learning Insurance Medical Healthcare 75

ProjectPro

FEBRUARY 25, 2022

The primary reason behind this spike is the sudden realization that using MLOps results in the improvised deployment of machine learning algorithms. Feature Selection and Feature Engineering Choosing the relevant machine learning/deep learning algorithms. Using machine learning algorithms to automate the solution pipelines.

Deep Learning 52

Deep Learning Algorithm Machine Learning Data Science 52

ProjectPro

AUGUST 9, 2021

1) Music Recommendation System on KKBox Dataset Music in today’s time is all around us. Music streaming services profit from recommendation algorithms as well. Dataset Description The dataset contains the metadata for users and songs. The dataset contains the time when a song is played for the first time by a user.

Data Science 52

Data Science Python Project Datasets 52

ProjectPro

FEBRUARY 22, 2022

Dataset: As an example, you can use this Walmart Dataset on Kaggle. The dataset contains Walmart store sales (Year, Month, Product Category, and Sales) for 2009-2014. SQL Project Idea: You can use the dataset to create an online retail application database in SQL. You must have come across various books.

Data Analysis 52

Data Analysis SQL Project Banking 52

Knowledge Hut

MAY 1, 2024

Data C leaning: It deals with gathering the data and structuring it so that it becomes easy to pass this data as input to any machine learning algorithm. In addition to this, as a foundation, the basics and working of linear regression and classification algorithms must also be known to a data science aspirant.

Data Science 52

Data Science Datasets Algorithm Machine Learning 52

AltexSoft

MARCH 28, 2022

In this article, we’ll focus on short-term rental data sourcing and analysis, and share our experience gained from cooperation with Japan’s largest booking platform Rakuten Travel , vacation rental market data provider Key Data , and other tech partners. Publicly available datasets. Airbnb instantly purchasable datasets.

Hospitality 52

Hospitality Business Intelligence Machine Learning Datasets 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

ProjectPro

AUGUST 28, 2021

Projects help you create a strong foundation of various machine learning algorithms and strengthen your resume. Each project explores new machine learning algorithms, datasets, and business problems. In this ML project, you will learn to implement the random forest regressor and Xgboost algorithms to train the model.

Portfolio 52

Portfolio Project Datasets Algorithm 52

Knowledge Hut

DECEMBER 26, 2023

These projects should include working with various datasets, and each one should present intriguing insights you found. Several machine learning initiatives, each centered on a different algorithm, can be what you need. Find interesting datasets, then figure out how to link them. D) Do you need a theme for your portfolio?

Data Science 92

Data Science Python Programming Language Portfolio 92

Striim

JULY 18, 2024

An inference model is a form of machine learning model that leverages algorithms to analyze data. How Inference Models Work Inference models work by applying algorithms to analyze large datasets, deriving meaningful insights that inform decision-making. From there, it can make predictions or decisions based on that information.

Healthcare 52

Healthcare Medical Hospitality Algorithm 52

Rockset

MAY 8, 2023

Vector search is a method for efficiently finding and retrieving similar items from a large dataset based on representations of the data in a high-dimensional space. Embedded content: [link] Given a query, we can then find the most similar items in the dataset. increase in users discovering a listing that they booked.

Metadata 52

Metadata Algorithm Datasets Google Cloud 52

ProjectPro

JANUARY 21, 2022

The solution is devised by applying statistical algorithms called machine learning models, which assist in revealing hidden patterns in the data. Well-versed with applications of various machine learning and deep learning algorithms. Interact with the data engineering team to convey the requirements of a dataset. is a bonus.

Deep Learning 52

Deep Learning Data Science Algorithm Programming Language 52

Edureka

SEPTEMBER 11, 2023

By employing algorithms that pick up on the subtleties of the input or training data they are given, generative AI certainly provides a multifaceted approach to data generation. It accomplishes this through complex algorithms and neural network architectures, and it has vast potential across many fields.

Algorithm 52

Algorithm Entertainment Deep Learning Healthcare 52

ProjectPro

SEPTEMBER 29, 2021

Machine learning has algorithms that are used in natural language processing, computer vision , robotics more efficiently. Machine learning uses algorithms that teach machines to learn and improve with data without explicit programming automatically. These techniques are formulated as a model and then applied to other text datasets.

Machine Learning 52

Machine Learning Deep Learning Algorithm Datasets 52

Monte Carlo

NOVEMBER 21, 2024

For over 20 years, Skyscanner has been helping travelers plan and book trips with confidence— including airfare, hotels, and car rentals. The data teams were maintaining 30,000 datasets, and often found anomalies or issues that had gone unnoticed for months. As digital natives, the organization is no stranger to staggering volume.

Government 52

Government Datasets Data Governance Data 52

Monte Carlo

NOVEMBER 21, 2024

For over 20 years, Skyscanner has been helping travelers plan and book trips with confidence— including airfare, hotels, and car rentals. The data teams were maintaining 30,000 datasets, and often found anomalies or issues that had gone unnoticed for months. As digital natives, the organization is no stranger to staggering volume.

Government 52

Government Datasets Data Governance Data 52

Ascend.io

OCTOBER 28, 2024

Filling in missing values could involve leveraging other company data sources or even third-party datasets. Data Normalization Data normalization is the process of adjusting related datasets recorded with different scales to a common scale, without distorting differences in the ranges of values. Ready to see it in Action?

Raw Data 52

Raw Data Datasets Aggregated Data Data Pipeline 52