ProjectPro

JULY 9, 2021

All thanks to deep learning - the incredibly intimidating area of data science. This new domain of deep learning methods is inspired by the functioning of neural networks in the human brain. Table of Contents Why Deep Learning Algorithms over Traditional Machine Learning Algorithms?

Deep Learning 40

Deep Learning Algorithm Machine Learning Datasets 40

DareData

JUNE 11, 2024

In this post, we’ll learn how to train a computer vision model using a convolutional Neural Network in PyTorch PyTorch is currently one of the hottest libraries in the Deep Learning field. In this blog post, we are finally going to bring out the big guns and train our first computer vision algorithm.

Algorithm 52

Algorithm Datasets Deep Learning Architecture 52

ProjectPro

JANUARY 15, 2021

Undoubtedly, everyone knows that the only best way to learn data science and machine learning is to learn them by doing diverse projects. Table of Contents What is a dataset in machine learning? Why you need machine learning datasets? Where can I find datasets for machine learning?

Machine Learning 40

Machine Learning Datasets Retail Banking 40

DareData

FEBRUARY 28, 2024

In this post of the PyTorch Introduction, we’ll learn how to use custom datasets with PyTorch, particularly tabular, vision and text data PyTorch is one of the hottest libraries in the Deep Learning field right now. Learn how to work with non-linear activation functions and how to solve non-linear problems.

Datasets 52

Datasets Deep Learning Data Machine Learning 52

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. It offers various blogs based on above mentioned technology in alphabetical order.

Data Science 98

Data Science Datasets Machine Learning Database Design 98

DareData

DECEMBER 16, 2023

In my last blog post, we’ve learned how to work with PyTorch tensors , the most important object in the PyTorch library. Tensors are the backbone of deep learning models so naturally we can use them to fit simpler machine learning models to our datasets. of the song Song loudness Song tempo.

Building 52

Building Deep Learning Datasets Coding 52

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

Data Engineering Weekly

AUGUST 25, 2024

The blog is a good overview of various components in a typical data stack. Powerful deep learning models are becoming smarter, more accessible and cost-effective. However, it’s only by combining these with rich proprietary datasets and operational data streams that organizations can find true differentiation.

Data Engineering 70

Data Engineering Data Engineer Engineering Database-centric 70

Cloudera

MAY 19, 2021

In the previous blog post in this series, we walked through the steps for leveraging Deep Learning in your Cloudera Machine Learning (CML) projects. To try and predict this, an extensive dataset including anonymised details on the individual loanee and their historical credit history are included. Get the Dataset.

Machine Learning 137

Machine Learning Datasets Data Science Raw Data 137

RandomTrees

JUNE 24, 2024

Fig: 1: Image Annotation Challenges of manual Annotation Complications in manually annotating visual data: It is Time-consuming and labor-intensive, especially for large datasets. Scalability limitations which make it impractical for large datasets. Initially, we used a custom dataset focused on potholes.

Medical 52

Medical Machine Learning Datasets Retail 52

DareData

JANUARY 13, 2024

Continuing the Pytorch series, in this post we’ll learn about how non-linearities help solve complex problems in the context of neural networks In the last blog posts of the PyTorch Introduction series, we spoke about introduction to tensor objects and building a simple linear model using PyTorch. Let’s start!

Datasets 52

Datasets Deep Learning Architecture Algorithm 52

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 98

Machine Learning Algorithm Deep Learning Programming Language 98

Cloudera

FEBRUARY 1, 2022

In this blog we’ll dig into how the Deep Learning for Image Analysis AMP can be reused to find snowflakes that are less similar to one another. However, because we are only interested in comparing snowflakes, we need to bring our own dataset consisting solely of snowflakes, and a lot of them. Launch the AMP.

Deep Learning 110

Deep Learning Datasets Coding Machine Learning 110

Knowledge Hut

JUNE 10, 2024

It also supports both vectorized and parallel computing, which is essential for working with large datasets. Features of Scikit-Learn Access to a wide range of algorithms, including both traditional and deep learning models. Keras Keras is a top-level API that makes it easy to build complex deep learning models.

Data Science 52

Data Science Python Deep Learning Machine Learning 52

ProjectPro

JANUARY 31, 2023

This is particularly true when working with complex deep-learning models that require large amounts of data to perform well. Bid goodbye to worries related to such problems with this blog, as it covers an appropriate and effective solution to the problem of limited data available for training machine learning and deep learning models.

Deep Learning 52

Deep Learning Datasets Machine Learning Data 52

Edureka

JANUARY 18, 2024

This guide provides a comprehensive understanding of the essential skills and knowledge required to become a successful data scientist, covering data manipulation, programming, mathematics, big data, deep learning, and machine learning technologies. Neural Networks Explore Deep Learning, starting with Neural Networks.

Data Science 40

Data Science Deep Learning Machine Learning NoSQL 40

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.

Deep Learning 52

Deep Learning Datasets Healthcare Algorithm 52

Pinterest Engineering

SEPTEMBER 5, 2023

In 2021, ML was siloed at Pinterest with 10+ different ML frameworks relying on different deep learning frameworks, framework versions, and boilerplate logic to connect with our ML platform. The nuances of the underlying deep learning framework needs to be considered in order to build a high-performance ML system.

Engineering 104

Engineering Deep Learning Architecture Project 104

Netflix Tech

NOVEMBER 13, 2023

In this blog post, we will introduce speech and music detection as an enabling technology for a variety of audio applications in Film & TV, as well as introduce our speech and music activity detection (SMAD) system which we recently published as a journal article in EURASIP Journal on Audio, Speech, and Music Processing.

Datasets 92

Datasets Metadata Algorithm Architecture 92

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

Scott Logic

SEPTEMBER 13, 2024

In this blog, we will look at how ML has developed, how it might affect our job as test engineers and the important strategies, considerations and skills needed to effectively evaluate and test ML models. At their core, ML models learn from data. For example, the model might successfully identify 95% of spam emails in this dataset.

Medical 52

Medical Hospitality Datasets Machine Learning 52

U-Next

MARCH 1, 2023

You can find many Artificial Intelligence applications in this blog that you can use as project ideas for your academic assignments or personal growth. Datasets are obtained, and forecasts are made using a regression approach. There’s no industry left where the role of AI is not present. Let’s get started on this.

Project 96

Project Medical Banking Healthcare 96

ProjectPro

OCTOBER 16, 2021

TensorFlow and Scikit-learn, two of the most popular words from the jargon of the Machine Learning world! If you are wondering what is the reason behind their popularity, continue reading as we answer that question in this blog by exploring hands-on machine learning with Scikit-learn and TensorFlow.

Machine Learning 52

Machine Learning Deep Learning Datasets Algorithm 52

Edureka

SEPTEMBER 23, 2024

This blog will guide you through the key AI skills, both technical and soft, needed to thrive in AI careers. Let’s explore some of the most sought-after roles: AI/ML Engineer AI/ML engineers develop algorithms that enable machines to learn from data. They need expertise in deep learning and neural networks.

Deep Learning 40

Deep Learning Programming Language Algorithm Machine Learning 40

Data Engineering Weekly

DECEMBER 24, 2023

link] Google: Advancements in machine learning for machine learning Google writes about exciting advancements in ML for ML. The blog explores how Google uses ML to improve the efficiency of ML workloads! Read the announcement for more details.

Data Engineering 62

Data Engineering Data Engineer Engineering Deep Learning 62

U-Next

AUGUST 8, 2022

Before heading out for a Machine Learning interview, find time to go through this quick recap blog on the fundamentals of Machine Learning. Introduction to Machine Learning Interview Questions. Data Science and Machine Learning are two of the most widely used technologies around the globe nowadays.

Machine Learning 52

Machine Learning Deep Learning Algorithm Data Mining 52

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

ProjectPro

SEPTEMBER 29, 2021

The term artificial intelligence is always synonymously used Awith complex terms like Machine learning, Natural Language Processing, and Deep Learning that are intricately woven with each other. One of the trending debates is that of the differences between natural language processing and machine learning.

Machine Learning 52

Machine Learning Deep Learning Algorithm Datasets 52

Edureka

SEPTEMBER 11, 2023

They’re familiar with the frameworks already in place and use that knowledge to create new information or data that fits in with the rest of the dataset convincingly. To summarise, generative AI is an effective tool in machine learning and artificial intelligence that draws on preexisting data to create new, similar data.

Algorithm 52

Algorithm Entertainment Deep Learning Healthcare 52

RandomTrees

JUNE 17, 2024

It includes identifying unusual behaviors or patterns within datasets. New technologies like deep learning, NLP, and blockchain are expected to have a significant impact on how frauds are detected. Deep learning algorithms can analyze complex data structures or even unstructured data sources.

Banking 52

Banking Deep Learning Finance Machine Learning 52

Picnic Engineering

DECEMBER 12, 2023

At Picnic, we track the latest machine learning developments to ensure the best possible demand forecasting. This blog post delves into the learnings and challenges on our journey towards implementing and scaling state-of-the-art deep learning approaches. Then, it is time for the next big step.

Machine Learning 52

Machine Learning Deep Learning Food Software Engineering 52

ProjectPro

JULY 21, 2021

In this blog, explore a diverse list of interesting NLP projects ideas, from simple NLP projects for beginners to advanced NLP projects for professionals that will help master NLP skills. Good knowledge of commonly used machine learning and deep learning algorithms.

Coding 52

Coding Project Deep Learning Algorithm 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. 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 Portfolio 52

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. What is to be done to acquire a sufficient dataset? labeling data by medical experts to create a ground-truth dataset.

Medical 72

Medical Healthcare Datasets Machine Learning 72

ProjectPro

JANUARY 19, 2022

The first step is to work on cleaning it and eliminating the unwanted information in the dataset so that data analysts and data scientists can use it for analysis. Interact with the data scientists team and assist them in providing suitable datasets for analysis. That needs to be done because raw data is painful to read and work with.

Data Engineer 52

Data Engineer Data Engineering Engineering Amazon Web Services 52

Knowledge Hut

MARCH 26, 2024

In this blog post, I will give you a detailed comparative analysis of AI vs HI. AI technologies comprise various approaches, such as machine learning, deep learning, natural language processing, computer vision, and robotics. What is AI? Pattern Recognition: Both can identify patterns in information.

Algorithm 52

Algorithm Deep Learning Education Datasets 52

ProjectPro

JANUARY 27, 2023

Businesses are delving deeply into data using artificial intelligence (AI) and machine learning (ML) to make smarter decisions, achieve economic benefits, and generate predictions that prevent energy crises and expensive downtime.

Machine Learning 52

Machine Learning Deep Learning Algorithm Datasets 52