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

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.

Machine Learning 52

Machine Learning Deep Learning Datasets Algorithm 52

AltexSoft

JUNE 26, 2023

We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. It’s the first and essential stage of data-related activities and projects, including business intelligence , machine learning , and big data analytics. What is data collection? No wonder only 0.5

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 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?

Deep Learning 40

Deep Learning Algorithm Machine Learning Datasets 40

ProjectPro

JANUARY 20, 2022

“Humans can typically create one or two good models a week; machine learning can create thousands of models a week.” In recent years, AI and Machine Learning have transformed the world, making it smarter and faster. We have put together the ideal artificial intelligence and machine learning path for you.

Machine Learning 52

Machine Learning Deep Learning Algorithm Programming Language 52

ProjectPro

SEPTEMBER 29, 2021

The term artificial intelligence is always synonymously used Awith complex terms like Machine learning, Natural Language Processing, and Deep Learning that are intricately woven with each other. One of the trending debates is that of the differences between natural language processing and machine learning.

Machine Learning 52

Machine Learning Deep Learning Algorithm Datasets 52

U-Next

AUGUST 11, 2022

You might spend some time reading these Top Artificial Intelligence Books for Self-Learning to understand something about AI and its ideas. Best Books About Artificial Intelligence To Read? The book introduces the reader to the field, and the principles and justifications are simple for them to grasp. systems.

Retail 52

Retail Banking Healthcare Deep Learning 52

U-Next

SEPTEMBER 7, 2022

Recommendation System – Created by Machine Learning . Machine learning has a subclass known as recommendation engines that often rank or rate people or products. The dataset and strategy used to generate the recommendation have the only bearing on how it is evaluated. Collaborative Filtering System .

Machine Learning 40

Machine Learning Systems Algorithm Datasets 40

AltexSoft

NOVEMBER 17, 2021

If you’ve ever been to a bookstore, you probably know the dilemma of the book location. 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.

Machine Learning 75

Machine Learning Insurance Medical Healthcare 75

AltexSoft

JULY 8, 2021

To help companies unlock the full potential of personalized marketing, propensity models should use the power of machine learning technologies. This post is going to shed light on propensity modeling and the role of machine learning in making it an efficient predictive tool. What is a propensity model?

Machine Learning 78

Machine Learning Algorithm Education Data Science 78

AltexSoft

AUGUST 18, 2021

But nothing is impossible for people armed with intellect and algorithms. Read on to know how to approach the airfare prediction problem and what we learned from our experience of building an price forecasting feature for the US-based online travel agency FareBoom. Preparing airfare datasets. Public datasets.

Algorithm 59

Algorithm Datasets R (Programming) Machine Learning 59

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. Is it Data Visualization where you present your findings in form of a report or a Dashboard, or is it Machine Learning where you build ML models and deploy them?

Data Science 97

Data Science Healthcare Machine Learning Telecommunication 97

Knowledge Hut

OCTOBER 29, 2023

From machine learning algorithms to data mining techniques, these ideas are sure to challenge and engage you. designing an algorithm to improve the efficiency of hospital processes. To develop such an app, you will need to have a strong understanding of computer science concepts such as data structures and algorithms.

Computer Science 111

Computer Science Coding Project Hospitality 111

Towards Data Science

AUGUST 29, 2023

Earlier this year, I started a piece on several data quality issues (or characteristics) that heavily compromise our machine learning models. Sometimes, even the smallest pieces of information can provide a completely unique view of the world. Photo by Ronan Furuta on Unsplash. One of them was, unsurprisingly, Missing Data.

Datasets 103

Datasets Machine Learning Data Data Science 103

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

Knowledge Hut

JANUARY 19, 2024

In data science, we use various tools, processes, and algorithms to extract insights from structured and unstructured data. Exploring data science, I focus on key topics like statistical analysis, machine learning, data visualization, and programming in my course syllabus. That's the promise of a career in data science.

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

ProjectPro

JULY 30, 2021

As an aspiring machine learning professional, a portfolio is the most important asset to have in your job search. But what if you don’t have a machine learning portfolio because you are going to need diverse skills and projects under your belt to land a top machine learning gig.

Machine Learning 40

Machine Learning Project Deep Learning Banking 40

AltexSoft

FEBRUARY 21, 2023

Hotel price prediction is a critical aspect of the travel industry, and with the rise of machine learning , it has become more precise and accurate. 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.

Hospitality 52

Hospitality Datasets Algorithm Machine Learning 52

AltexSoft

JUNE 21, 2023

We also investigate predicting ADR through machine learning and strategies to enhance this KPI. This is where the power of machine learning comes into play, utilizing ADR for hotel price prediction tasks. What is ADR? ADR , in the hospitality industry, stands for the average daily rate.

Hospitality 52

Hospitality Management Machine Learning Datasets 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

Knowledge Hut

DECEMBER 26, 2023

A simple usage of Business Intelligence (BI) would be enough to analyze such datasets. Business Intelligence tools, therefore cannot process this vast spectrum of data alone, hence we need advanced algorithms and analytical tools to gather insights from these data. Data Modeling using multiple algorithms. What is Data Science?

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Knowledge Hut

MAY 2, 2024

Spark also has out of the box support for Machine learning and Graph processing using components called MLlib and GraphX respectively. It achieves this using abstraction layer called RDD (Resilient Distributed Datasets) in combination with DAG, which is built to handle failures of tasks or even node failures.

Scala 52

Scala Hospitality Healthcare Retail 52

ProjectPro

FEBRUARY 11, 2021

Spoiler Alert: Becoming a machine learning engineer can sound like a hard-to-reach goal but let us tell you the truth – it isn’t as hard as it seems. Image Credit: Makeameme.org So you are considering learning machine learning skills , and you’ve heard that becoming a machine learning engineer is the way to go.

Machine Learning 40

Machine Learning Engineering Programming Language Portfolio 40

ProjectPro

NOVEMBER 11, 2021

Table of Contents Why is Now the Best Time to Learn Computer Vision? Learn Computer Vision with OpenCV Learn Machine Learning for Computer Vision Programming Languages Best Suited for Computer Vision 1.Learn Learn Python for Computer Vision 2. Is Computer Vision hard to learn?

Programming Language 52

Programming Language Deep Learning Machine Learning Algorithm 52

Knowledge Hut

DECEMBER 21, 2023

Neural network based multi-objective evolutionary algorithm for dynamic workflow scheduling in cloud computing Cloud computing research topics are getting wider traction in the Cloud Computing field. The NN-MOEA algorithm utilizes neural networks to optimize multiple objectives, such as planning, cost, and resource utilization.

Cloud Computing 52

Cloud Computing Cloud Algorithm Healthcare 52

Knowledge Hut

JANUARY 22, 2024

Data scientists apply machine learning algorithms to numbers, text, images, video, audio, and more to create artificial intelligence (AI) systems. Mining large datasets containing structured and unstructured data and identifying hidden patterns to gain actionable insights are two main tasks in data science.

Data Science 52

Data Science Banking Big Data Insurance 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

AltexSoft

SEPTEMBER 19, 2023

Company’s booking website and mobile app allow you to track and collect a wealth of data, from web traffic information to user behavioral metrics (session duration, navigation paths, etc.), Learn more about the functions of internal systems with our dedicated articles about hotel property management systems and passenger service systems.

Hospitality 52

Hospitality Machine Learning Data Governance BI 52

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. Table of Contents Introduction to Data Science What is Data Science?

Data Science 40

Data Science Deep Learning NoSQL Machine Learning 40

Edureka

FEBRUARY 20, 2024

Rules for Generating Effective Prompts Examples of AI Tools Utilizing Prompt Engineering Why is machine learning useful in prompt engineering? Prompt engineering is a method used in natural language processing (NLP) and machine learning. Prompt: “Imagine a tree where the branches are made of stacks of books.

Engineering 52

Engineering Machine Learning Coding Algorithm 52

ProjectPro

FEBRUARY 25, 2022

The blog starts with an introduction to MLOps, skills required to become an MLOps engineer, and then lays out an MLOps learning path for beginners. MLOps is an acronym that represents the combination of Machine-Learning(ML) and Operations. Also, MLOps has smoothened the process of creating scalable machine learning projects.

Deep Learning 52

Deep Learning Algorithm Machine Learning Data Science 52

ProjectPro

JANUARY 17, 2022

Classification is a prevalent supervised task of machine learning. The algorithms are designed to classify the given data points into n number of different classes based on patterns observed within the data. How to Solve a Multi-Class Classification Problem on an Imbalanced Dataset? Binary Transformation 2.

Python 52

Python Algorithm Datasets Machine Learning 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

Knowledge Hut

OCTOBER 27, 2023

Since we've all been students, working with a dataset you're familiar with makes it easier to learn. Start by getting a dataset and splitting it into different performance parts. Practice Dataset Student Result 5. This is the stage where you should learn about the art of storytelling, too.

BI 52

BI Project Datasets Healthcare 52

ProjectPro

OCTOBER 6, 2021

It is needed to understand machine learning and deep learning algorithms that are used along with NLP techniques. Best Way to Learn NLP You have now entered the section where we will explain in detail what is the best method of learning NLP. Recommended Book: Calculus (2002) by Monty J.

Deep Learning 52

Deep Learning Programming Language Machine Learning Algorithm 52

Knowledge Hut

NOVEMBER 19, 2023

Here, Data Science courses online can help you apply what you learn in practical exercises working with real-world datasets. I wrote an article named ‘An Introduction to Azure IoT with Machine Learning,’ in that blog, I took an example of a system that monitors temperature and humidity. What is IoT? Here is the broad.

Data Science 52

Data Science Technology Machine Learning Big Data 52

Knowledge Hut

JANUARY 25, 2024

Data cleaning, also known as data cleansing, is the essential process of identifying and rectifying errors, inaccuracies, inconsistencies, and imperfections in a dataset. The specific methods and steps for data cleaning may vary depending on the dataset, but its importance remains constant in the data science workflow.

Data Cleanse 52

Data Cleanse Datasets Data Preparation Data Science 52