Cloudera

NOVEMBER 15, 2021

Seagate Technology forecasts that enterprise data will double from approximately 1 to 2 Petabytes (one Petabyte is 10^15 bytes) between 2020 and 2022. For example, the number of hyperscale centres is reported to have doubled between 2015 and 2020. Most of that data will be unstructured, and only about 10% will be stored. Data scrutiny.

Unstructured Data 88

Unstructured Data Pipeline-centric Database-centric Entertainment 88

ProjectPro

NOVEMBER 17, 2021

Instead, working on a sentiment analysis project with real datasets will help you stand out in job applications and improve your chances of receiving a call back from your dream company. The dataset for Amazon Product Reviews: Amazon Product Reviews Dataset. Beginners can use the small IMDb reviews dataset to test their skills.

Coding 52

Coding Project Entertainment Datasets 52

Knowledge Hut

APRIL 20, 2023

With the advanced growth in data analysis and machine learning, data scientists are able to uncover hidden patterns, predict attacks, and reveal insights in large datasets that would help us detect the traditional and advanced methods. Cloud tool understanding in Apache Spark, AWS , Hadoop , Google Cloud, Microsoft Aure, etc.

Data Science 52

Data Science Computer Science Healthcare Recruitment 52

AltexSoft

OCTOBER 13, 2022

It mostly belongs to supervised machine learning tasks. Generative modeling tries to understand the dataset structure and generate similar examples (e.g., It mostly belongs to unsupervised and semi-supervised machine learning tasks. is compared to the expected output (y) from the training dataset. MRI into CT scans.

Algorithm 90

Algorithm Deep Learning Machine Learning Datasets 90

AltexSoft

JANUARY 18, 2023

In 2020, a remarkable AI took Silicon Valley by storm. They are mainly trained using a large dataset of text, such as a collection of books or articles. Models then use the patterns they learn from this training data to predict the next word in a sentence or generate new text that is grammatically correct and semantically coherent.

Datasets 64

Datasets Architecture Deep Learning SQL 64

ProjectPro

OCTOBER 27, 2021

Also, remove all missing and NaN values from the dataset, as incomplete data is unnecessary. You can use the Huge Stock Market Dataset or the NY Stock Exchange Dataset to implement this machine learning project. To start this machine learning project, download the Credit Risk Dataset. Our data is imbalanced.

Finance 52

Finance Machine Learning Project Banking 52

ProjectPro

JULY 26, 2021

TensorFlow is equipped with features, like state-of-the-art pre-trained models, p opular machine learning datasets , and increased ease of execution for mathematical computations, making it popular among seasoned researchers and students alike. Deep Learning in Medical Imaging using TensorFlow 5.

Project 40

Project Deep Learning Medical Datasets 40

ProjectPro

FEBRUARY 16, 2022

Early in 2020, when Myntra launched its visual product search for the first time, it created waves in e-commerce. The 19 layers deep convolutional neural network did not follow the ongoing trend of using high dimensional convolutional layers but instead used simple 3x3 convolutional layers. have blurry distinguishable features.

Architecture 52

Architecture Deep Learning Banking Datasets 52

Knowledge Hut

NOVEMBER 27, 2023

In 2020, this number grew to 59 ZB and was expected to reach a whopping 175 ZB in 2025. Learn Data Analysis with Python Now that you know how to code in Python start picking toy datasets to perform analysis using Python. Learn about Dataframes, Pandas, and Numpy to begin with. Can you imagine the data that big?

Data Science 97

Data Science Healthcare Machine Learning Algorithm 97

Knowledge Hut

JANUARY 22, 2024

Mining large datasets containing structured and unstructured data and identifying hidden patterns to gain actionable insights are two main tasks in data science. exabytes/month by 2020). To learn more about fraud detection using a live course, check out applied D ata S cience with P ython. Why is Data Science So Important?

Data Science 52

Data Science Banking Big Data Insurance 52

U-Next

SEPTEMBER 23, 2022

According to the Bureau of Labor Statistics , computer and information research jobs, including Data Scientist positions, are projected to grow 22% between 2020 and 2030. . A lot of progress has been made in the field of Machine Learning in the last few years, and there is much more that can be done than that. Deep Learning .

Machine Learning 40

Machine Learning Banking Deep Learning Algorithm 40

Knowledge Hut

JANUARY 16, 2024

Look at the stats that show a positive trend for machine learning projects and careers. million jobs in machine learning would be available across the globe by 2020. I would define a Machine Learning Engineer as a technically proficient programmer who delves into the intricacies of self-running software and predictive models.

Machine Learning 98

Machine Learning Engineering Programming Language Algorithm 98

DataKitchen

APRIL 13, 2021

Acquired by Informatica, July 2020) . Soda doesn’t just monitor datasets and send meaningful alerts to the relevant teams. Metis Machine — Enterprise-scale Machine Learning and Deep Learning deployment and automation platform for rapid deployment of models into existing infrastructure and applications.

Consulting 121

Consulting Machine Learning Data Science Data Pipeline 121

U-Next

SEPTEMBER 29, 2022

Recent data shows that the business market for artificial intelligence during 2020 was valued at $51.08 Explore how to visualize a dataset, extract important features from it in KNIME and implement it in machine learning. . The business market for artificial intelligence is projected to be over $640.3 billion by 2028.

Machine Learning 40

Machine Learning Education Computer Science Python 40

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 architecture to tackle datasets and the relationship between processes and applications. billion by the end of 2023.

Data Engineer 52

Data Engineer Data Engineering Engineering Non-relational Database 52

ProjectPro

MARCH 29, 2021

‘Man and machine together can be better than the human’ All thanks to deep learning frameworks like PyTorch, Tensorflow, Keras, Caffe, and DeepLearning4j for making machines learn like humans with special brain-like architectures known as Neural Networks.

Deep Learning 40

Deep Learning Machine Learning Programming Language Python 40

ProjectPro

JANUARY 24, 2023

A survey by O’Reilly in 2020 found that Amazon Sagemaker is the second most used machine learning platform after Tensorflow. With over 100,000 active users globally, Amazon SageMaker has quickly become a go-to tool for companies looking to incorporate machine learning into their products or services.

Building 52

Building Algorithm Machine Learning AWS 52

ProjectPro

NOVEMBER 24, 2021

In 2020, it ranked at number three, but it has stepped up again to number two in the current year, 2021. Knowledge of machine learning algorithms and deep learning algorithms. Experience in handling large datasets and drawing meaningful conclusions from them. What are the requirements to learn machine learning ?

Data Science 52

Data Science Consulting Machine Learning Software Engineering 52

ProjectPro

AUGUST 24, 2021

According to a Dice Tech Job Report - 2020 , it’s happening, i.e., the demand for Data Engineering roles is boosting up. Explore different types of Data Formats: A data engineer works with various dataset formats like.csv,josn,xlx, etc. The Yelp dataset, which is used for academic and research purposes, is processed here.

Data Engineer 52

Data Engineer Data Engineering Coding Project 52

U-Next

OCTOBER 27, 2022

KNIME can handle anything from simple visualizations and linear regressions to complex Deep Learning. . We will next show its range and trends to comprehend the dataset better. . One of the most important things we’d want to learn from our data is which item sells the most compared to the others. .

Python 40

Python Building Programming Language Machine Learning 40

ProjectPro

APRIL 1, 2021

A 2020 Dice report said that the demand for data scientists increased by an average of 50% across healthcare, telecommunications, media, and the banking, financial services, and insurance (BFSI) sectors, among others. Each project comes with datasets, code, documentation, and videos to elucidate the code providing just-in-time learning.

Data Science 40

Data Science Telecommunication Algorithm Machine Learning 40

ProjectPro

DECEMBER 1, 2017

As the datasets available were popular, it helped them find out what medications that have been on, how many times they have been to their General Practitioner. million jobs by end of 2020. Big data has even helped identify for what purpose they had to go to the hospital and what prescription they have been cashing in.

Hadoop 52

Hadoop Medical Unstructured Data Pharmaceutical 52

ProjectPro

FEBRUARY 11, 2021

Can a career in machine learning offer you growth opportunities and stability? How favorable is the job market towards machine learning skills? These questions need to be answered especially in the wake of the 2020 pandemic as it has had a major impact on the economy and hiring trends. How likely are you to get hired?

Machine Learning 40

Machine Learning Engineering Programming Language Portfolio 40

ProjectPro

NOVEMBER 30, 2021

When working on real-time business problems, data scientists build models using various Machine Learning or Deep Learning algorithms. The copy performance.sql script will analyze incoming datasets and offer insight regarding growth when the regular COPY executions take longer than expected.

Process 52

Process Data Pipeline Data Warehouse AWS 52

AltexSoft

OCTOBER 22, 2021

Well, the technology behind such “magic” is called deep learning. In this post, we’ll explain what deep learning is, how it works, how it’s different from traditional machine learning, and what areas it can be applied within. Get ready because you’re about to go deep into deep learning.

Deep Learning 52

Deep Learning Algorithm Raw Data Machine Learning 52

Knowledge Hut

JUNE 20, 2023

It involves working with large datasets of text and speech, analyzing the data to identify patterns and trends and developing algorithms to process and interpret the data. The knowledge of programming languages like Python, and Java, and familiarity with machine learning algorithms and statistical models.

Process 52

Process Computer Science Algorithm Education 52

ProjectPro

NOVEMBER 16, 2021

To help accelerate the application development process and enable more efficient and effective practical usage, developers rely on open-source AI projects to build superior deep learning-based solutions. TensorFlow TensorFlow is the leading open-source AI project for deep learning. TensorFlow 2. Detectron2 5.

Project 52

Project Deep Learning Machine Learning Algorithm 52

Knowledge Hut

DECEMBER 26, 2023

According to reports by DICE Insights, the job of a Data Engineer is considered the top job in the technology industry in the third quarter of 2020. A simple usage of Business Intelligence (BI) would be enough to analyze such datasets. They analyze datasets to find trends and patterns and report the results using visualization tools.

Data Engineer 98

Data Engineer Data Engineering Engineering Pipeline-centric 98

ProjectPro

JULY 30, 2021

In this project, you will be introduced to different types of recommendation systems and learn how to build a recommendation system from scratch. Data Description The dataset contains the following information about the products purchased by different users. on different images in a dataset.

Machine Learning 40

Machine Learning Project Deep Learning Banking 40

ProjectPro

OCTOBER 25, 2021

Cancer is the leading cause of death worldwide and was predicted to account for almost 10 million deaths in 2020. Pattern Imaging Analytics Machine learning techniques find applications in radiology to help doctors identify any subtle changes in scans that can be missed by the human eye to diagnose health issues at early stages.

Healthcare 52

Healthcare Machine Learning Project Medical 52

ProjectPro

APRIL 20, 2017

These Hadoop projects come with detailed understanding of the problem statement, source code, dataset and a video tutorial explaining the entire solution. Users will work on the Million Song Dataset released by the Columbia University’s Lab for Recognition and Organization of Speech and Audio.

Hadoop 40

Hadoop Big Data Coding Project 40

U-Next

SEPTEMBER 23, 2022

trillion dollars since 2020. Due to the technological revolution, Machine Learning, Artificial Intelligence, and Data Science have changed our day-to-day lives. . Data Science, Artificial Intelligence, and Machine Learning are sometimes used interchangeably. What is Machine Learning? . Machine Learning .

Machine Learning 40

Machine Learning Data Science Manufacturing Healthcare 40

AltexSoft

DECEMBER 15, 2021

The accuracy of the forecast depends not only on features but also on hyperparameters or internal settings that dictate how exactly your algorithm will learn on a specific dataset. Neural architecture search or NAS is a subset of hyperparameter tuning related to deep learning, which is based on neural networks.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59

U-Next

OCTOBER 27, 2022

billion in 2020. Using Artificial Intelligence and Machine Learning, voice recognition is quickly overcoming the obstacles of inadequate recording equipment, noise cancellation, variances in people’s voices, accents, dialects, meanings, situations, etc. billion from 4.2 Each individual will use multiple voice assistants. .

Technology 40

Technology Insurance Hospitality Machine Learning 40

Engineering at Meta

MARCH 9, 2023

The project was originally created by Meta in 2020 and is under continued development in collaboration with Ahana, along with other open source contributors. Although the TPC-H dataset is a standard benchmark, it’s not representative of real workloads. We saw a more modest speedup (averaging 3-6x) for shuffle-bound queries.

Engineering 75

Engineering Java Data Ingestion Bytes 75

ProjectPro

APRIL 1, 2017

Just like Hadoop is not designed for the cloud, it is not meant for doing matrix math that deep learning requires. Source : [link] ) Hadoop Market 2020 In-depth Research on Dynamics, Trends, Outlook, Emerging Growth Factors and Forecasts by Key Profiles (Cloudera, Hortonworks, MapR). Satprnews.com, March 8, 2017.

Hadoop 40

Hadoop Data Lake Electronics Big Data 40