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. Table of Contents What is Data Augmentation in Deep Learning?

Deep Learning 52

Deep Learning Datasets Machine Learning Data 52

Knowledge Hut

JULY 4, 2023

Data analysis and Interpretation: It helps in analyzing large and complex datasets by extracting meaningful patterns and structures. By identifying and understanding patterns within the data, valuable insights can be gained, leading to better decision-making, and understanding of underlying relationships.

Machine Learning 98

Machine Learning Medical Algorithm Deep Learning 98

AltexSoft

MAY 12, 2022

Aiming at understanding sound data, it applies a range of technologies, including state-of-the-art deep learning algorithms. Audio data transformation basics to know. For further steps, you need to load your dataset to Python or switch to a platform specifically focusing on analysis and/or machine learning.

Machine Learning 122

Machine Learning Building Deep Learning Datasets 122

Knowledge Hut

DECEMBER 29, 2023

Professionals from a variety of disciplines use data in their day-to-day operations and feel the need to understand cutting-edge technology to get maximum insights from the data, therefore contributing to the growth of the organization. Engineering and problem-solving abilities based on Big Data solutions may also be taught.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

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

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.

Data Science 97

Data Science BI Business Intelligence Machine Learning 97

AltexSoft

MAY 27, 2022

The main sources of such data are electronic health record ( EHR ) systems which capture tons of important details. Yet, there’re a few essential things to keep in mind when creating a dataset to train an ML model. Inpatient data anonymization. Medical datasets with inpatient details. Syntegra synthetic data.

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. A Data Scientist earns about 25% more than a computer programmer. What is Data in Data Science?

Data Science 52

Data Science Datasets Machine Learning Portfolio 52

Edureka

SEPTEMBER 11, 2023

Generative algorithms go beyond the capabilities of discriminative models, which are best at identifying and classifying elements within a given data set, such as determining whether an email is spam. Generative AI’s magic comes from understanding the intricate structures and patterns in its training data.

Algorithm 52

Algorithm Entertainment Deep Learning Healthcare 52

Knowledge Hut

JANUARY 19, 2024

Embracing data science isn't just about understanding numbers; it's about wielding the power to make impactful decisions. Imagine having the ability to extract meaningful insights from diverse datasets, being the architect of informed strategies that drive business success. That's the promise of a career in data science.

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

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. Python source code for Big Data can be written.

Data Engineer 98

Data Engineer Data Engineering Coding Project 98

Knowledge Hut

JUNE 4, 2024

Medical Image Analysis Softengi Another advanced and revolutionizing use case of Data Science in pharmaceutical industry is Medical Image Analysis. With the help of Deep Learning techniques in Data Science, the software can be built to understand and interpret images like X-rays, MRIs, mammograms, etc.

Pharmaceutical 52

Pharmaceutical Data Science Medical Deep 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 Deep Learning Healthcare 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

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 builds a model based on Sample data and is designed to make predictions and decisions without being programmed for it. 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

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

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

ProjectPro

AUGUST 21, 2021

Nucleus Research has found that business intelligence with data visualization capabilities will offer a return on investment of $13.01 With how much expenditure is made and time spent on data collection and processing, getting the most out of data is naturally a well-in-demand skill. for every dollar spent.

Coding 52

Coding Project Datasets Machine Learning 52

Knowledge Hut

MAY 9, 2024

Skills Required Skills necessary for AI engineers are programming languages, statistics, deep learning, natural language processing, and problem-solving with communication skills. Average Annual Salary of Machine Learning Engineer A machine learning engineer can earn over $132,910 on average per year.

Data Science 52

Data Science Data Architect Data Mining Programming Language 52

AltexSoft

FEBRUARY 21, 2023

Data relevance. Including irrelevant data in the training dataset can make the model overly complex, as it tries to learn patterns that don’t actually fit the task. Just as bad data quality and scarcity, irrelevance can cause the model to make incorrect predictions when presented with new, unseen data.

Hospitality 52

Hospitality Datasets Algorithm Machine Learning 52

AltexSoft

APRIL 27, 2023

As the company explains , it can be compared to weather models considering a large amount of data like air pressure, wind speeds, and moisture to help meteorologists predict the weather. With the help of this platform, Moderna is able to conduct analysis of in-house data (clinical operations, gender, risk groups, etc.)

Data Analytics 52

Data Analytics Pharmaceutical Medical Manufacturing 52

ProjectPro

AUGUST 25, 2021

Machine Learning , as the name suggests, is about training a machine to learn hidden patterns in a dataset through mathematical algorithms. The hidden patterns are revealed by predicting the value of a target variable using the information (attributes) contained in the dataset. where the prices take continuous values.

Machine Learning 52

Machine Learning Algorithm Datasets Data Science 52

Confluent

FEBRUARY 6, 2019

Uber expanded Michelangelo “to serve any kind of Python model from any source to support other Machine Learning and Deep Learning frameworks like PyTorch and TensorFlow [instead of just using Spark for everything].”. Data scientists love Python, period. These standards have pros and cons.

Machine Learning 107

Machine Learning Python Kafka Java 107

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

ProjectPro

NOVEMBER 18, 2021

ii) Targetted marketing through Customer Segmentation With user data for enhancing personalized song recommendations, Spotify uses this massive dataset for targeted ad campaigns and personalized service recommendations for its users. Here is a Music Recommender System Project for you to start learning.

Data Science 52

Data Science Project Food Pharmaceutical 52

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 Engineer Data Engineering Engineering 52

Knowledge Hut

JUNE 23, 2023

Data engineers make a tangible difference with their presence in top-notch industries, especially in assisting data scientists in machine learning and deep learning. Data warehousing to aggregate unstructured data collected from multiple sources.

Data Engineer 52

Data Engineer Data Engineering Engineering Non-relational Database 52

ProjectPro

JUNE 9, 2021

Difference between Data Science and Data Engineering Data Science Data Engineering Data Science involves extracting information from raw data to derive business insights and values using statistical methods. Data Engineering is associated with data collecting, processing, analyzing, and cleaning data.

Data Engineer 52

Data Engineer Data Engineering Engineering Amazon Web Services 52

AltexSoft

JUNE 16, 2022

Before we start with metrics, it’s worth recalling the machine learning pipeline for further understanding of when and why the model has to be tested and evaluated. Machine learning pipeline. The typical machine learning model preparation flow consists of several steps. if we measure within the range from 0 to 1.

Machine Learning 91

Machine Learning Hospitality Retail Medical 91

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

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 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 Engineer 52

Data Engineer Data Engineering Coding Project 52

AltexSoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data Architect 87

Data Architect Certification Generalist Big Data 87

ProjectPro

MARCH 5, 2021

Recommender Systems – An Introduction Data collection is ubiquitous now. Every app that you use on the internet collects data about your activity, about how you interact with things, what you search for, who do you interact with, etc. You can download this Kaggle Dataset from here - TMDB 5000 Movie Kaggle Dataset.

Algorithm 40

Algorithm Systems Python Datasets 40

ProjectPro

OCTOBER 20, 2021

Data Science has taken off in the technology space, the job title data scientist even being crowned as the Sexiest Job of the 21 st Century. Let's understand where Data Science belongs in the space of Artificial Intelligence. Auto-Weka : Weka is a top-rated java-based machine learning software for data exploration.

Machine Learning 52

Machine Learning Algorithm Data Science Government 52

ProjectPro

NOVEMBER 30, 2021

The crux of all data-driven solutions or business decision-making lies in how well the respective businesses collect, transform, and store data. When working on real-time business problems, data scientists build models using various Machine Learning or Deep Learning algorithms.

Process 52

Process Data Pipeline Data Warehouse AWS 52