WeCloudData

OCTOBER 19, 2021

Next, in order for the client to leverage their collected user clickstream data to enhance the online user experience, the WeCloudData team was tasked with developing recommender system models whereby users can receive more personalized article recommendations.

Consulting 52

Consulting Systems NoSQL Raw Data 52

WeCloudData

OCTOBER 19, 2021

Next, in order for the client to leverage their collected user clickstream data to enhance the online user experience, the WeCloudData team was tasked with developing recommender system models whereby users can receive more personalized article recommendations.

Consulting 52

Consulting Systems NoSQL Raw Data 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

AltexSoft

OCTOBER 18, 2022

No wonder publicly available health datasets are relatively rare and attract much attention from researchers, data scientists, and companies working on medical AI solutions. Below, we’ll explore data collections the Internet has to offer and the practical tasks they help solve. Healthcare Cost and Utilization Project (HCUP).

Medical 52

Medical Datasets Machine Learning Hospitality 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 Engineering Data Engineer Engineering 52

Knowledge Hut

JANUARY 11, 2024

evacuation before cyclone ''Fani'' Entertainment Industry: Netflix u ses data science to personalize the content and improve recommendations. AstraZeneca also utilizes AI and machine learning to optimize the process at different stages and minimize the overall time for the clinical trials by analyzing the clinical trial data.

Data Science 98

Data Science Transportation Hospitality Banking 98

AltexSoft

SEPTEMBER 19, 2023

For instance, a notable expert in this domain, OAG , has a suite of air-related datasets, including historical flight data spanning 20 years. Businesses selling vacation rentals can take advantage of data collection from AirDNA , Mashvisor , and others. Read our article on data visualization libraries and tools to learn more.

Hospitality 52

Hospitality Machine Learning Data Governance BI 52

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. Common processes are: Collect raw data and store it on a server.

Data Science 52

Data Science Datasets Machine Learning Portfolio 52

U-Next

AUGUST 18, 2022

Data Science is thus entirely concerned with the present moment. That is, identifying patterns that could be simulated and utilized for predictions to determine how things could turn out in the future and discovering trends based on previous data that might be relevant for decisions made now.

Unstructured Data 40

Unstructured Data Data Science Medical Business Intelligence 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. Python source code for Big Data can be written.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

U-Next

SEPTEMBER 27, 2022

In addition to strong design skills, AI Product Manager s must know about Machine Learning, algorithms, and other methods for enhancing businesses through AI. The knowledge of these cutting-edge techniques allows them to utilize these tools in ways that are accessible to everyone. . How AI and ML are Changing Product Management? .

IT 40

IT Management Machine Learning Algorithm 40

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 Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

OCTOBER 5, 2018

LinkedIn’s open-source project Tony aims at scaling and managing deep learning jobs in Tensorflow using YARN scheduler in Hadoop.Tony uses YARN’s resource and task scheduling system to run Tensorflow jobs on a Hadoop cluster. Source - [link] ) PREVIOUS <

Hadoop 40

Hadoop BI Big Data MongoDB 40

ProjectPro

DECEMBER 9, 2021

Semi-Supervised GAN (SGAN) using MNIST dataset Semi-Supervised Learning is a unique type of problem where the training dataset consists of a small number of labelled and huge unlabelled data. Before deep learning, color reference images were used in combination with human intelligence to colorize images or videos.

Project 52

Project Medical Datasets Deep Learning 52

ProjectPro

JULY 10, 2021

Upskill yourself for your dream job with industry-level big data projects with source code Time Series Analysis in R or Python Python and R are both great programming languages for performing time series. You can use numerous functions like manipulate, create, and plot to plot time series data in R.

Project 40

Project Banking Datasets Python 40

ProjectPro

APRIL 20, 2017

There are various kinds of hadoop projects that professionals can choose to work on which can be around data collection and aggregation, data processing, data transformation or visualization. Apply what you have learned, explore a variety of hands-on example projects for data engineers.

Hadoop 40

Hadoop Big Data Coding Project 40

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

NOVEMBER 18, 2023

Companies are actively training machine learning models to search patterns from IoT devices and make forecasts in several fields like: Data quality analysis Behavioral analysis Service quality Edge computing Smart Healthcare Resource consumption Neural networks Attack detection and prediction Distributed deep learning, etc.

Machine Learning 52

Machine Learning Transportation Healthcare Medical 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. For web services, I will recommend utilizing frameworks like Flask or Django.

Medical 52

Medical Datasets Deep Learning Healthcare 52

AltexSoft

JULY 27, 2021

These days, the true power of customer experience personalization can be realized with the help of machine learning. By utilizing ML algorithms and data, it is possible to create smart models that can precisely predict customer intent and as such provide quality one-to-one recommendations. Data collection.

Machine Learning 76

Machine Learning Systems Algorithm Deep Learning 76

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

Cloudera

NOVEMBER 19, 2020

Robust online systems have streamlined interactions and generated a wealth of new data to support mission success and enhanced citizen engagements. However, this rapid scaling up of data across government agencies brings with it new challenges. Analyzing historical data is an important strategy for anomaly detection.

Government 121

Government Machine Learning Algorithm Raw Data 121

Cloudera

FEBRUARY 4, 2019

With the rise of streaming architectures and digital transformation initiatives everywhere, enterprises are struggling to find comprehensive tools for data management to handle high volumes of high-velocity streaming data. He currently works at Cloudera, managing their Data-in-Motion product line.

Data Ingestion 74

Data Ingestion Retail Kafka Data Lake 74

phData: Data Engineering

AUGUST 11, 2023

Data engineering in healthcare is taking a giant leap forward with rapid industrial development. Artificial Intelligence (AI) and Machine Learning (ML) are buzzwords these days with developments of Chat-GPT, Bard, and Bing AI, among others. However, data collection and analysis have been commonplace in the healthcare sector for ages.

Healthcare 52

Healthcare Data Engineering Data Engineer Hospitality 52

AltexSoft

FEBRUARY 21, 2023

With sufficient and quality data in place, ML becomes a valuable tool to forecast hotel deals. Data collection and preprocessing As with any machine learning task, it all starts with high-quality data that should be enough for training a model. So how exactly are hotel price prediction tools built? Public datasets.

Hospitality 52

Hospitality Datasets Algorithm Machine Learning 52

ProjectPro

JANUARY 25, 2022

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. Another reason to use PySpark is that it has the benefit of being able to scale to far more giant data sets compared to the Python Pandas library.

Big Data 52

Big Data Data Process Process Kafka 52

ProjectPro

NOVEMBER 18, 2021

In 2016 Watson Health and Pfizer announced a collaboration to utilize IBM Watson for Drug Discovery to help accelerate Pfizer's research in immuno-oncology, an approach to cancer treatment that uses the body's immune system to help fight cancer. Currently, Zomato has over 2 lakh restaurant partners and around 1 lakh delivery partners.

Data Science 52

Data Science Project Food Pharmaceutical 52

Rockset

DECEMBER 19, 2023

Additionally, some systems utilize pre-computed lists, such as those generated by data pipelines that identify the top 100 most popular content pieces globally, serving as another form of candidate generator. This phase involves a thorough understanding of all the features and signals that will be utilized for ranking purposes.

Systems 52

Systems Machine Learning Deep Learning Media 52

Edureka

FEBRUARY 27, 2023

AI has enabled businesses to generate more data, interpret it faster and utilize it to make smarter decisions. AI technologies like machine learning, deep learning, and natural language processing are being used by companies across industries to gain a competitive edge.

Business Intelligence 52

Business Intelligence BI Data Mining Data Warehouse 52

ProjectPro

AUGUST 24, 2021

Thus, as a learner, your goal should be to work on projects that help you explore structured and unstructured data in different formats. Data Warehousing: Data warehousing utilizes and builds a warehouse for storing data. A data engineer interacts with this warehouse almost on an everyday basis.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

MARCH 17, 2014

Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Image Credit: twitter.com There are hundreds of companies like Facebook, Twitter, and LinkedIn generating yottabytes of data. billion by end of 2017.Organizations

Hadoop 52

Hadoop Big Data Unstructured Data Retail 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

AltexSoft

MAY 12, 2023

Without a fixed schema, the data can vary in structure and organization. File systems, data lakes, and Big Data processing frameworks like Hadoop and Spark are often utilized for managing and analyzing unstructured data. The process requires extracting data from diverse sources, typically via APIs.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

ProjectPro

AUGUST 21, 2015

HBase is ideal for real time querying of big data where Hive is an ideal choice for analytical querying of data collected over period of time. On issuing a delete command in HBase through the HBase client, data is not actually deleted from the cells but rather the cells are made invisible by setting a tombstone marker.

Hadoop 40

Hadoop Big Data Metadata Java 40

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. Concepts of deep learning can be used to analyze this dataset properly.

Big Data 52

Big Data Coding Project Hadoop 52