Knowledge Hut

DECEMBER 26, 2023

These skills are essential to collect, clean, analyze, process and manage large amounts of data to find trends and patterns in the dataset. The dataset can be either structured or unstructured or both. In this article, we will look at some of the top Data Science job roles that are in demand in 2024.

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Data Science BI Business Intelligence Data Mining 97

Knowledge Hut

MAY 9, 2024

In this blog post, we will look at some of the world's highest paying data science jobs, what they entail, and what skills and experience you need to land them. What is Data Science? Data science also blends expertise from various application domains, such as natural sciences, information technology, and medicine.

Data Science 52

Data Science Data Mining Data Architect Programming Language 52

AltexSoft

MAY 12, 2022

Aiming at understanding sound data, it applies a range of technologies, including state-of-the-art deep learning algorithms. Another application of musical audio analysis is genre classification: Say, Spotify runs its proprietary algorithm to group tracks into categories (their database holds more than 5,000 genres ).

Machine Learning 122

Machine Learning Building Datasets Healthcare 122

AltexSoft

MAY 27, 2022

A large hospital group partnered with Intel, the world’s leading chipmaker, and Cloudera, a Big Data platform built on Apache Hadoop , to create AI mechanisms predicting a discharge date at the time of admission. The built-in algorithm learns from every case, enhancing its results over time. Inpatient data anonymization.

Hospitality 98

Hospitality Medical Healthcare Algorithm 98

Knowledge Hut

NOVEMBER 27, 2023

Developing technical skills is essential, starting with foundational knowledge in mathematics, including calculus and linear algebra, which underpin machine learning and deep learning concepts. Through the article, we will learn what data scientists do, and how to transits to a data science career path.

Data Science 52

Data Science Datasets Machine Learning Portfolio 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.

Data Science 52

Data Science Machine Learning Datasets Algorithm 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. Generative AI’s magic comes from understanding the intricate structures and patterns in its training data.

Algorithm 52

Algorithm Entertainment Healthcare Deep Learning 52

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. .

Machine Learning 40

Machine Learning Data Science Deep Learning Algorithm 40

Knowledge Hut

JUNE 26, 2023

Use Stack Overflow Data for Analytic Purposes Project Overview: What if you had access to all or most of the public repos on GitHub? As part of similar research, Felipe Hoffa analysed gigabytes of data spread over many publications from Google's BigQuery data collection. Which queries do you have?

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

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.

Medical 52

Medical Computer Science Scala Machine Learning 52

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

Knowledge Hut

JUNE 20, 2023

Skills A data engineer should have good programming and analytical skills with big data knowledge. A machine learning engineer should know deep learning, scaling on the cloud, working with APIs, etc. Examples Pull daily tweets from the data warehouse hive spreading in multiple clusters.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

ProjectPro

DECEMBER 9, 2021

Generator Network ( Source ) As shown in the figure above, this generated image is fed to the Discriminator network as training data with fake labels. For true labels, the Discriminator model uses the raw input images from the MNIST dataset. We recommend using Anime Face Dataset.

Project 52

Project Medical Datasets Deep Learning 52

AltexSoft

SEPTEMBER 19, 2023

Loyalty program data can also be part of CRM records, including information on membership tiers or rewards earned. External travel data sources and providers External data encompasses all types of information and datasets created outside a company and existing beyond its direct control, ownership, or management.

Hospitality 52

Hospitality Machine Learning Data Governance BI 52

Knowledge Hut

JANUARY 11, 2024

In this discussion, I will present some case studies to you that contain detailed and systematic data analysis of people, objects, or entities focusing on multiple factors present in the dataset. UPS utilizes supply chain data analysis in all aspects of its shipping process.

Data Science 98

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ProjectPro

JULY 10, 2021

By building time series analysis and forecasting projects, you're learning by doing what you want to do. Practicing the implementation of various time series analysis and forecasting techniques on real-world machine learning datasets is essential to master time series analysis concepts for machine learning.

Project 40

Project Banking Datasets Python 40

Confluent

FEBRUARY 6, 2019

It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. After all, machine learning with Python requires the use of algorithms that allow computer programs to constantly learn, but building that infrastructure is several levels higher in complexity.

Machine Learning 107

Machine Learning Python Kafka Java 107

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

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

MAY 2, 2024

Machine learning is a field that encompasses probability, statistics, computer science and algorithms that are used to create intelligent applications. These applications have the capability to glean useful and insightful information from data that is useful to arrive business insights. It works on a large dataset.

Machine Learning 98

Machine Learning Algorithm Datasets Deep Learning 98

AltexSoft

JUNE 26, 2023

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

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Data Collection Machine Learning Unstructured Data Non-relational Database 52

Knowledge Hut

DECEMBER 26, 2023

A simple usage of Business Intelligence (BI) would be enough to analyze such datasets. However, as we progressed, data became complicated, more unstructured, or, in most cases, semi-structured. This is one of the major reasons behind the popularity of data science. An exploratory study of the given data set.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

ProjectPro

JANUARY 31, 2023

Data scientists and machine learning engineers often come across this scenario where the data for their project is not sufficient for training a machine learning model, often resulting in poor performance. Overfitting occurs when an ML model yields accurate results for training examples but not for unseen data.

Deep Learning 52

Deep Learning Datasets Machine Learning Data 52

ProjectPro

MARCH 5, 2021

The invisible pieces of code that form the gears and cogs of the modern machine age, algorithms have given the world everything from social media feeds to search engines and satellite navigation to music recommendation systems. Recommender Systems – An Introduction Data collection is ubiquitous now.

Algorithm 40

Algorithm Systems Python Datasets 40

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

Knowledge Hut

JULY 7, 2023

Machine learning is a part of AI (artificial intelligence) that focuses on developing various algorithms and models to make decisions without human intervention. Various algorithms and models are trained using machine learning techniques like supervised, unsupervised, reinforcement, etc. How Does Machine Learning Work?

Machine Learning 110

Machine Learning Deep Learning Algorithm Datasets 110

AltexSoft

FEBRUARY 21, 2023

This blog post will delve into the challenges, approaches, and algorithms involved in hotel price prediction. We’ll also share what we learned from our experience building a price prediction module for Rakuten Travel. But there are particular challenges associated with hotel price prediction using machine learning.

Hospitality 52

Hospitality Datasets Algorithm Machine Learning 52

ProjectPro

NOVEMBER 18, 2021

Analysis of Big data also helps them understand new item sales, make decisions on discontinuing products, and the performance of brands. Walmart runs a backend algorithm that estimates this based on the distance between the customer and the fulfillment center, inventory levels, and shipping methods available.

Data Science 52

Data Science Project Food Pharmaceutical 52

AltexSoft

NOVEMBER 15, 2022

To determine when occupancy will be higher and when lower and what prices should be considered for a given period, you can take advantage of machine learning powered by data. Dataset preparation and construction. The starting point of any machine learning task is data. A lot of data, to be exact.

Hospitality 52

Hospitality Building Datasets Machine Learning 52

Knowledge Hut

NOVEMBER 16, 2023

Generative AI models primarily work by leveraging neural networks and machine learning techniques to generate content, be it texts, images, music, or other formats of data. These models are fed with vast amounts of data during the initial stage. Make sure the dataset is big enough to train a strong model.

Medical 52

Medical Datasets Healthcare Finance 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

JANUARY 25, 2022

Furthermore, PySpark allows you to interact with Resilient Distributed Datasets (RDDs) in Apache Spark and Python. PySpark is a handy tool for data scientists since it makes the process of converting prototype models into production-ready model workflows much more effortless. RDD uses a key to partition data into smaller chunks.

Big Data 52

Big Data Data Process Process Kafka 52

ProjectPro

AUGUST 25, 2021

Firstly, we introduce the two machine learning algorithms in detail and then move on to their practical applications to answer questions like when to use linear regression vs logistic regression. Machine Learning , as the name suggests, is about training a machine to learn hidden patterns in a dataset through mathematical algorithms.

Machine Learning 52

Machine Learning Algorithm Datasets Data Science 52

AltexSoft

JUNE 16, 2022

So, how would you measure the success of a machine learning model? Various machine learning models — whether these are simpler algorithms like decision trees or state-of-the-art neural networks — need a certain metric or multiple metrics to evaluate their performance. if we measure within the range from 0 to 1.

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Machine Learning Hospitality Retail Medical 91

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.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

AltexSoft

DECEMBER 21, 2021

When people hear about artificial intelligence, deep learning, and machine learning , many think of movie-like robots that resemble or even outperform human intelligence. Others believe that such machines simply consume information and learn from it by themselves. So, what challenges does data labeling involve?

Machine Learning 52

Machine Learning Process Raw Data Datasets 52

ProjectPro

OCTOBER 20, 2021

Let's understand where Data Science belongs in the space of Artificial Intelligence. The estimator automatically performs the algorithm selection as well as the hyperparameter tuning Auto-Keras : To recall, Keras is an open-source library that provides a Python interface into the world of Artificial Intelligence, especially Tensorflow.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

AltexSoft

APRIL 27, 2023

Efficient analysis of data from multiple sources helps pharma businesses identify market trends and develop targeted marketing strategies. Machine learning algorithms can be used to predict future sales of particular drugs or spot growth. as well as make use of external medical datasets. Marketing and sales.

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Data Analytics Pharmaceutical Medical Manufacturing 52