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.

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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.

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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.

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AltexSoft

DECEMBER 15, 2021

Machine learning evangelizes the idea of automation. On the surface, ML algorithms take the data, develop their own understanding of it, and generate valuable business insights and predictions — all without human intervention. The process of cooking the right food for your algorithm falls into two key steps.

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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. Data relevance. Public datasets. What is hotel price prediction?

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ProjectPro

AUGUST 30, 2022

Traditional processes determine the risk by manually looking at the applicant's income, credit history, and several other dynamic parameters and creating a data-driven risk model. Despite using data science in this process, there is still a large amount of manual work involved. Takeaway What is Loan Prediction using Machine Learning?

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ProjectPro

JANUARY 24, 2023

They have developed a product called "SiteEye," which uses cameras and machine learning to monitor construction sites in real-time to detect and alert workers about potential hazards. To build and deploy their machine learning models, DeepVision used Amazon SageMaker. Amazon S3 is also used to store model artefacts and predictions.

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AltexSoft

MAY 12, 2021

Particularly, we’ll present our findings on what it takes to prepare a medical image dataset, which models show best results in medical image recognition , and how to enhance the accuracy of predictions. The most advanced AI algorithms achieved the accuracy of almost 97 percent. Spoiler: we finally opted for public datasets.

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Medical Healthcare Datasets Machine Learning 72

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. This includes learning, reasoning, problem-solving, perception, language understanding, and decision-making.

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AltexSoft

JULY 10, 2023

AI image generators are trained on an extensive amount of data, which comprises large datasets of images. Through the training process, the algorithms learn different aspects and characteristics of the images within the datasets. This labeled dataset is the “ground truth” that enables a feedback loop.

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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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AltexSoft

NOVEMBER 15, 2022

Dataset preparation and construction. The starting point of any machine learning task is data. A lot of data, to be exact. A lot of quality data, to be even more exact. To learn the basics, you can read our dedicated article on how data is prepared for machine learning or watch a short video.

Hospitality 52

Hospitality Building Datasets Machine Learning 52

AltexSoft

NOVEMBER 17, 2021

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. We can label existing documents to use as our training dataset. Model training.

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Machine Learning Insurance Medical Healthcare 75

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

Picnic Engineering

MAY 23, 2023

In this article, we’ll share insights from the Advanced Analytics and Algorithms (AAA) team’s two-day hackathon, where one of the hackathon teams explored and benchmarked three different types of models for large-scale routing of customer feedback with text classification. However, there are some limitations to using traditional approaches.

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AltexSoft

MARCH 18, 2022

Supervised vs unsupervised vs semi-supervised machine learning in a nutshell. Supervised learning is training a machine learning model using the labeled dataset. Organic labels are often available in data, but a process may involve a human expert that adds tags to raw data to show a model the target attributes (answers).

Datasets 52

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ProjectPro

MAY 31, 2021

A big data project is a data analysis project that uses machine learning algorithms and different data analytics techniques on a large dataset for several purposes, including predictive modeling and other advanced analytics applications. Calculating the variations between date-column values, etc.

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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

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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

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.

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Machine Learning Algorithm Government Data Science 52

ProjectPro

DECEMBER 22, 2016

Data analysis involves data cleaning. Results of data mining are not always easy to interpret. Data analysts interpret the results and convey the to the stakeholders. Data mining algorithms automatically develop equations. Data analysts have to develop their own equations based on the hypothesis.

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Data Mining Data Cleanse Datasets Data Analysis 52

Netflix Tech

OCTOBER 18, 2019

As with other traditional machine learning and deep learning paths, a lot of what the core algorithms can do depends upon the support they get from the surrounding infrastructure and the tooling that the ML platform provides. they were able to reframe the problem as a straight-forward black-box optimization problem.

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Algorithm Architecture Machine Learning Deep Learning 50

Netflix Tech

OCTOBER 18, 2019

As with other traditional machine learning and deep learning paths, a lot of what the core algorithms can do depends upon the support they get from the surrounding infrastructure and the tooling that the ML platform provides. they were able to reframe the problem as a straight-forward black-box optimization problem.

Algorithm 40

Algorithm Architecture Machine Learning Deep Learning 40

ProjectPro

JANUARY 31, 2022

Databricks Snowflake Projects for Practice in 2022 Dive Deeper Into The Snowflake Architecture FAQs on Snowflake Architecture Snowflake Overview and Architecture With Data Explosion, acquiring, processing, and storing large or complicated datasets appears more challenging. Snowflake offers no built-in virtual private networking.

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