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 Raw Data Algorithm Machine Learning 52

ProjectPro

JULY 23, 2021

Machine Learning and Deep Learning have experienced unusual tours from bust to boom from the last decade. But when it comes to large data sets, determining insights from them through deep learning algorithms and mining them becomes tricky. Image Source: [link] Nowadays, Deep Learning is almost everywhere.

Deep Learning 40

Deep Learning Machine Learning Algorithm Datasets 40

AltexSoft

OCTOBER 18, 2022

In this post, we’ll briefly discuss challenges you face when working with medical data and make an overview of publucly available healthcare datasets, along with practical tasks they help solve. At the same time, de-identification only encrypts personal details and hides them in separate datasets. Medical datasets comparison chart .

Medical 52

Medical Datasets Machine Learning Hospitality 52

Zalando Engineering

NOVEMBER 7, 2018

A real-life example of how to train a Deep Learning model on an AWS Spot Instance using Spotty Spotty is a tool that simplifies training of Deep Learning models on AWS. Conclusion Using Spotty is a convenient way to train Deep Learning models on AWS Spot Instances. Why will you ❤️this tool?

Deep Learning 40

Deep Learning AWS Python Project 40

Zalando Engineering

SEPTEMBER 11, 2018

Figure 1: Examples of images in our dataset. Unfortunately, an overwhelming majority of our fashion images have standardised clean backgrounds as shown in Figure 1 , which means we have to think of a work around to learn how to handle them. Figure 7: Qualitative results on external datasets. Green boxes show exact hits.

Deep Learning 40

Deep Learning Datasets Computer Science Designing 40

KDnuggets

NOVEMBER 6, 2023

Various media outlets have been talking about prompt engineering with much fanfare, making it seem like it’s the ideal job — you don’t need to learn how to code, nor do you have to be knowledgeable about ML concepts like deep learning, datasets, etc. You’d agree that it seems too good to be true, right?

Engineering 99

Engineering Deep Learning Media Datasets 99

Knowledge Hut

APRIL 26, 2024

The rules defined by these types of algorithms help to discover commercially useful and important associations among large datasets. Generally, these algorithms fall under the category of Deep Learning, which is a core field in Machine Learning.

Machine Learning 91

Machine Learning Algorithm Deep Learning Programming Language 91

Christophe Blefari

APRIL 14, 2023

This is just a normal evolution of deep learning systems. Cybersyn is a data-as-a-service platform that provides public datasets for everyone. You can see it as a datasets marketplace of common public data. They are heavily supported by Snowflake so the dataset are accessible in Snowflake marketplace.

Datasets 130

Datasets Data Deep Learning SQL 130

RandomTrees

DECEMBER 12, 2023

Additionally, providing DevOps teams with datasets to test and confirm software. Methods Based On Deep Learning By (Gans) Generative Adversarial Networks In GAN, two neural networks (called generator and discriminator) compete against each other in a zero-sum game. Streamlines And Reduces The Cost Of Creating Datasets.

Datasets 52

Datasets Deep Learning Healthcare Algorithm 52

Knowledge Hut

DECEMBER 26, 2023

Get Familiar with Applied Mathematics In machine learning and data science, mathematics isn't about crunching numbers; it's about knowing what's happening, why, and how we may try different variables to get the outcomes we want. If you're more interested in the technical side of statistics, you might not have to learn Math.

Data Science 74

Data Science Programming Language Deep Learning Machine Learning 74

AltexSoft

AUGUST 25, 2021

But today’s programs, armed with machine learning and deep learning algorithms, go beyond picking the right line in reply, and help with many text and speech processing problems. You can’t simply feed the system your whole dataset of emails and expect it to understand what you want from it. Preparing an NLP dataset.

Process 139

Process Deep Learning Datasets Machine Learning 139

Knowledge Hut

FEBRUARY 29, 2024

Then, based on this information from the sample, defect or abnormality the rate for whole dataset is considered. Hypothesis testing is a part of inferential statistics which uses data from a sample to analyze results about whole dataset or population. While using Amazon SageMaker datasets are quick to access and load.

Data Science 79

Data Science Datasets Database Design Machine Learning 79

Knowledge Hut

DECEMBER 26, 2023

As technology is evolving rapidly today, both Predictive Analytics and Machine Learning are imbibed in most business operations and have proved to be quite integral. Deep learning is a machine learning type based on artificial neural networks (ANN). TensorFlow is by far one of the most popular deep learning frameworks.

Deep Learning 67

Deep Learning Python Machine Learning Programming Language 67

Knowledge Hut

MARCH 27, 2024

As a result, experts have created specialized libraries to run these models and continuously train new models using the datasets that we obtain. Scikit Learn is one of these libraries. 5) Deep Learning Cheat Sheet by 1webzem Here is the link for the cheat sheet. Thus, it's highly recommended to use a cheat sheet.

Machine Learning 52

Machine Learning Deep Learning Algorithm Certification 52

Knowledge Hut

DECEMBER 29, 2023

In addition, there are professionals who want to remain current with the most recent capabilities, such as Machine Learning, Deep Learning, and Data Science, in order to further their careers or switch to an entirely other field. In contrast to unsupervised learning, supervised learning makes use of labeled datasets.

Data Science 75

Data Science Data Mining Deep Learning Programming Language 75

Knowledge Hut

JULY 28, 2023

By learning from historical data, machine learning algorithms autonomously detect deviations, enabling timely risk mitigation. Machine learning offers scalability and efficiency, processing large datasets quickly. They excel at identifying subtle anomalies and adapt to changing patterns. Types of Anomalies 1.

Machine Learning 72

Machine Learning Algorithm Datasets Healthcare 72

Edureka

FEBRUARY 8, 2024

Big Data Processing- Workloads involving large datasets, analytics, and data processing can benefit from the enhanced memory capacity provided by M-Series instances. Big Data Analytics- Memory-optimized instances are beneficial for processing large datasets in memory, facilitating faster analytics and data processing.

AWS 52

AWS NoSQL Deep Learning Datasets 52

Scott Logic

JANUARY 9, 2024

As part of an internal study group aimed at getting a good overview of artificial intelligence (AI) and machine learning (ML), we conducted a deep dive into the world of fast.ai. is a deep learning Python library that is primarily used for adding higher-level functionality in standard deep learning domains.

Deep Learning 52

Deep Learning Python Machine Learning Entertainment 52

Knowledge Hut

NOVEMBER 17, 2023

Imagine you are training a machine learning model to classify images of cats. You have a large dataset of labeled cat images, but you’re worried that it’s not enough. What if your model encounters a cat in the wild that’s sitting in a strange position or has a different fur color than anything in your dataset?

Datasets 52

Datasets Machine Learning Deep Learning Data 52

Scott Logic

NOVEMBER 24, 2023

I recently embarked on a journey into the world of machine learning through following the fast.ai I have learnt a great deal about the inner workings of neural networks and how deep learning can produce seemingly magical results. Most often, the goal is to predict a target feature of the dataset based on the rest.

Datasets 52

Datasets Deep Learning Machine Learning Medical 52

Netflix Tech

NOVEMBER 13, 2023

Practical use cases for speech & music activity Audio dataset preparation Speech & music activity is an important preprocessing step to prepare corpora for training. Nevertheless, noisy labels allow us to increase the scale of the dataset with minimal manual efforts and potentially generalize better across different types of content.

Datasets 89

Datasets Metadata Algorithm Architecture 89

AltexSoft

MAY 12, 2022

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

Machine Learning 122

Machine Learning Building Datasets Healthcare 122

U-Next

NOVEMBER 25, 2022

Machine Learning algorithms can help overcome these challenges by automatically detecting patterns in the data. . Overall, Big Data and Machine Learning are complementary fields. Together they can help machines learn how to recognize patterns in complex datasets and make valuable predictions.

Big Data 52

Big Data Machine Learning Deep Learning Algorithm 52

Knowledge Hut

JULY 4, 2023

Data analysis and Interpretation: It helps in analyzing large and complex datasets by extracting meaningful patterns and structures. Pattern Matching and Search: Techniques involving the recognition of patterns enable efficient matching and searching of patterns within large datasets.

Machine Learning 78

Machine Learning Medical Algorithm Deep Learning 78

Knowledge Hut

MAY 31, 2023

Artificial intelligence (AI) projects are software-based initiatives that utilize machine learning, deep learning, natural language processing, computer vision, and other AI technologies to develop intelligent programs capable of performing various tasks with minimal human intervention. Let us get started!

Project 64

Project Healthcare Deep Learning Transportation 64

Knowledge Hut

JANUARY 18, 2024

Therefore, it outperforms R in deep learning tasks, online scraping, and workflow automation. It includes a plethora of statistical programs simply applied to datasets. Python is a great place to start if you want to work in data science fields such as deep learning and artificial intelligence. Clean up the data.

Data Science 70

Data Science R (Programming) Computer Science Algorithm 70

Edureka

APRIL 19, 2024

Large Language Models (LLMs) are machine learning models that use deep learning algorithms to understand natural language. They are trained on large amounts of text data to learn patterns and entity relationships. Examples of LLMs Benefits of Using Large Language Models Challenges and Limitations of LLMs What are LLMs?

Datasets 40

Datasets Utilities Algorithm Architecture 40

Knowledge Hut

MARCH 26, 2024

AI technologies comprise various approaches, such as machine learning, deep learning, natural language processing, computer vision, and robotics. Through this process, AI can identify complex relationships in data and make predictions or decisions based on learned patterns.

Algorithm 52

Algorithm Deep Learning Education Datasets 52

Knowledge Hut

DECEMBER 26, 2023

Deep Learning By Ian Goodfellow, Yoshua Bengio, and Aaron Courville As an advanced learner, this book should be your Bible for learning about deep learning algorithms. It offers an in-depth explanation of finding solutions to deep learning problems.

Data Science 52

Data Science Scala Programming Language R (Programming) 52

Knowledge Hut

JUNE 16, 2023

Artificial Intelligence Technology Landscape An AI engineer develops AI models by combining Deep Learning neural networks and Machine Learning algorithms to utilize business accuracy and make enterprise-wide decisions. They also work with Big Data technologies such as Hadoop and Spark to manage and process large datasets.

Engineering 52

Engineering Deep Learning Programming Language Software Engineer 52

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. A CV Engineer uses software to handle the analysis and processing of large image datasets to automate the visual perception process, i.e

Data Science 66

Data Science BI Business Intelligence Data Mining 66

Knowledge Hut

FEBRUARY 1, 2024

For instance, the analysis of the genre, director, actors, & plot of a movie recommendation system dataset would be leveraged for suggesting movies of the same genre, with similar actors or themes. Suppose we have a dataset of user ratings for various movies, where each row represents a user & each column represents a movie.

Systems 71

Systems Entertainment Datasets Algorithm 71

AltexSoft

MAY 27, 2022

Yet, there’re a few essential things to keep in mind when creating a dataset to train an ML model. But you still have to decide what other aspects are to be considered in your dataset, depending on the service or diagnosis in question. Medical datasets with inpatient details. Factors impacting LOS. 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. Data Science revolves around big datasets but many a times, data is not of the quality that is required to take decisions.

Data Science 52

Data Science Datasets Machine Learning Algorithm 52

U-Next

MARCH 1, 2023

These may be a notch ahead of the Artificial Intelligence Projects for students. To create facial recognition systems, it applies the principles of machine learning, deep learning, face analysis, and pattern recognition. Datasets are obtained, and forecasts are made using a regression approach.

Project 96

Project Medical Banking Healthcare 96

Knowledge Hut

MARCH 19, 2024

Machine Learning Frameworks: Ability to work with popular architectures such as TensorFlow, PyTorch, and Scikit-learn for prototyping and deploying machine learning models. Data Preprocessing and Cleaning: Capacity to optimize and fix large datasets for analysis and training of models.

Software Engineer 52

Software Engineer Software Engineering Machine Learning Engineering 52

Christophe Blefari

JUNE 16, 2023

Yann's vision goes toward AI systems learning and reasoning like animals and humans. Deep multi-task learning and real-time personalisation for closeup recommendations — Pinterest still doing deep learning. We don't need spaces ( credits ) Data Economy 🤖 Graphext raises $4.6m seed round.

Programming Language 130

Programming Language SQL PostgreSQL Data 130