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.

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AltexSoft

AUGUST 25, 2021

Besides simply looking for email addresses associated with spam, these systems notice slight indications of spam emails, like bad grammar and spelling, urgency, financial language, and so on. Such dialog systems are the hardest to pull off and are considered an unsolved problem in NLP. Language detection. Question answering.

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Process Deep Learning Datasets Machine Learning 139

RandomTrees

DECEMBER 12, 2023

It’s also a prerequisite for building novel algorithms for computer vision systems, but this is just a general talk. A computer vision system uses visual inputs and digital images to derive meaningful information before taking action. Additionally, providing DevOps teams with datasets to test and confirm software.

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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. Applications Technology Giants Advertising Firms Handwritten Digit Recognition Artificial neural networks are used to build a system that correctly decodes handwritten numbers.

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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.

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Knowledge Hut

MARCH 27, 2024

Over the last few decades, machine learning has fundamentally altered how systems function and decisions are made. These days, practically every industry effectively employs various machine learning ideas in one way or another. Scikit Learn is one of these libraries. All the necessary functions for strings, lists, etc.,

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Machine Learning Deep Learning Algorithm Certification 52

Knowledge Hut

DECEMBER 26, 2023

A simple usage of Business Intelligence (BI) would be enough to analyze such datasets. They are required to have deep knowledge of distributed systems and computer science. They analyze datasets to find trends and patterns and report the results using visualization tools.

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Knowledge Hut

MARCH 26, 2024

While AI systems can mimic certain aspects of human intelligence, such as pattern recognition, problem-solving, and language understanding, they lack human-like consciousness, emotions, and ethical reasoning. In this blog post, I will give you a detailed comparative analysis of AI vs HI. What is AI?

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Algorithm Deep Learning Education Datasets 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.

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Engineering Deep Learning Architecture Project 92

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! To address this, Expedia developed a more efficient system separating WebSocket session handling from data filtering.

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Knowledge Hut

MARCH 19, 2024

In today's digital transformation era, machine learning has emerged as a transformative technology driving innovation across industries. Machine Learning Software Engineers are at the forefront of this revolution, applying their expertise to develop intelligent systems and algorithms. Who Is a Machine Learning Software Engineer?

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RandomTrees

APRIL 30, 2024

These systems can find out any anomalies and help radiologists in making more precise diagnoses. By using deep learning algorithms and large datasets, researchers can recognize favorable drug candidates more quickly and accurately. They can also foresee disease advancement according to imaging data.

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Medical Healthcare Algorithm Electronics 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.

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Machine Learning Deep Learning Food High Quality Data 52

Data Engineering Weekly

JULY 23, 2023

Submit Your Conference Talk Proposal Here Tim Dettmers: Which GPU(s) to Get for Deep Learning: My Experience and Advice for Using GPUs in Deep Learning Deep Learning and Gen AI are speculated to impact software architecture greatly. The blog overviews potential information leakage and how to minimize it.

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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.

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Knowledge Hut

MAY 9, 2024

In this blog post, we will look at some of the world's highest paying data science jobs, what they entail, and what skills and experience you need to land them. Data Scientist A data scientist is a professional who uses scientific methods, algorithms, and systems to extract insights from data. What is Data Science?

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Data Science Data Mining Data Architect Programming Language 52

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.

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Knowledge Hut

APRIL 29, 2024

Most of the applications across the world are built using Machine Learning and their applications extend further when they are combined with other cutting-edge technologies like Deep Learning and Artificial Intelligence. But before that, please ensure you have installed Python in your system because Flask runs using Python.

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Machine Learning Python Datasets Coding 52

LinkedIn Engineering

DECEMBER 20, 2023

By leveraging cutting-edge technologies, machine learning algorithms, and a dedicated team, we remain committed to ensuring a secure and trustworthy space for professionals to connect, share insights, and foster their career journeys. Let’s look into the critical modules that are needed to build this type of system.

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RandomTrees

APRIL 29, 2024

GenAI includes the convergence of machine learning, deep learning, computer vision, natural language processing, and robotics, among other disciplines. By using machine learning algorithms, automotive engineers can analyze massive datasets generated from vehicle sensors, test fleets, and simulated environments.

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Transportation Manufacturing Algorithm Machine Learning 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

Knowledge Hut

OCTOBER 26, 2023

In this blog, we will show some interesting AWS project ideas for all professionals, including beginners, intermediate, and advanced. Why is Learning AWS Important? blog) easily using any of your preferred CMS. This project will help you learn how to choose a CMS and deploy a website without writing its code from scratch.

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AWS Coding Project Cloud Computing 52

DoorDash Engineering

APRIL 23, 2024

DoorDash’s retail catalog is a centralized dataset of essential product information for all products sold by new verticals merchants – merchants operating a business other than a restaurant, such as a grocery, a convenience store, or a liquor store. Examples include OpenAI’s GPT-4, Google’s Bard, and Meta’s Llama.

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Building Retail Manufacturing Unstructured Data 91

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.

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Coding Project Deep Learning Algorithm 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.

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Algorithm Entertainment Healthcare Deep Learning 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 can improve durability and balance, particularly for renewable energy grids.

Machine Learning 52

Machine Learning Deep Learning Algorithm Datasets 52

Towards Data Science

JANUARY 5, 2024

Depending on the peculiarities of the project, that may mean different models, optimization algorithms, deep learning architectures, engineered features, and so on. This blog post is in no way promoting reinventing the wheel. We might want to extract additional features to enhance the dataset.

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ProjectPro

DECEMBER 10, 2021

Read this blog if you are interested in exploring business intelligence projects examples that highlight different strategies for increasing business growth. Along with that, deep learning algorithms and image processing methods are also used over medical reports to support a patient’s treatment better.

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Business Intelligence Coding Project BI 52

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. Data Engineering refers to creating practical designs for systems that can extract, keep, and inspect data at a large scale. What is Data Engineering?

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Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

NOVEMBER 27, 2023

In fact, you reading this blog is also being recorded as an instance of data in some digital storage. Data Science is how the modern world leverages data to answer questions with the help of advanced computational systems and extensions of statistical methods. These systems and methods can be applied to massive amounts of data.

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Data Science Healthcare Machine Learning Telecommunication 97

AltexSoft

MAY 12, 2021

This exposure makes the respiratory system extremely susceptible to a wide range of diseases, from long-familiar asthma to novel COVID-19. 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.

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Medical Healthcare Datasets Machine Learning 72

AltexSoft

DECEMBER 15, 2021

Let’s explore the stages where current AutoML systems already show or at least promise the best results. 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. Source: Google Cloud Blog.

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Machine Learning Deep Learning Algorithm Telecommunication 59

RandomTrees

DECEMBER 20, 2023

To replicate human cognition, AI uses a system named deep neural network. Federated deep learning is also a promising technology that could improve edge AI’s privacy and security. As they get trained, these DNNs result in many examples of specific types of questions and the correct answers.

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IT Hospitality Healthcare Deep Learning 52

Knowledge Hut

JANUARY 16, 2024

Understanding the core principles and honing specific skills are pivotal steps toward realizing your aspirations in the dynamic realm of machine learning. In this comprehensive blog, we delve into the foundational aspects and intricacies of the machine learning landscape.

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Knowledge Hut

JULY 28, 2023

If some terminologies in the blog around Machine Learning seems unfamiliar to you, don’t worry we have the Best Data Science courses to help you out. What is Data Labeling for Machine Learning? In the world of Supervised Machine Learning, the models train using the samples of “labelled” datasets.

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ProjectPro

OCTOBER 18, 2021

Table of Contents 15 Top Machine Learning Projects for Students Time to Add the ML Projects to Your Resume 15 Top Machine Learning Projects for Students So, without further ado, let's dig deep into each of these best machine learning projects explicitly curated for students. for developing these kinds of projects.

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Machine Learning Project Datasets Algorithm 52

Knowledge Hut

OCTOBER 30, 2023

This is an intriguing big data Hadoop project for newcomers who wish to learn the fundamentals of running data queries and analytics using Apache Hive. For obtaining data from various Hadoop-integrated databases and file systems, Hive has a SQL-like interface. Your user behavior modeling system will be built using big data algorithms.

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