AltexSoft

AUGUST 3, 2021

No matter how big or small your machine learning (ML) project might be, the overall output depends on the quality of data used to train the ML models. Now, the primary function of data labeling is tagging objects on raw data to help the ML model make accurate predictions and estimations. Tag or Label Occluded Objects.

Datasets 59

Datasets High Quality Data Metadata Raw Data 59

Knowledge Hut

OCTOBER 27, 2023

In this blog, we will cover the top 5 data science projects in python you could do to elevate your skills and knowledge in this competitive Data Science market. A Decision tree model would be a good starting point followed by a more complex deep neural network to capture the non-linear patterns in the data.

Data Science 52

Data Science Python Project Manufacturing 52

Cloudera

AUGUST 18, 2021

In digital transformation projects, it’s easy to imagine the benefits of cloud, hybrid, artificial intelligence (AI), and machine learning (ML) models. It makes more sense to analyze and derive insights from it, and then place it in the data lake — properly tagged for easy access later. technologies.

Medical 87

Medical Hospitality Data Lake Healthcare 87

Netflix Tech

OCTOBER 19, 2020

In our previous blog post we introduced Edgar, our troubleshooting tool for streaming sessions. If we had an ID for each streaming session then distributed tracing could easily reconstruct session failure by providing service topology, retry and error tags, and latency measurements for all service calls. What’s next?

Building 93

Building Transportation Metadata Java 93

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 89

Datasets Metadata Algorithm Architecture 89

ProjectPro

OCTOBER 6, 2021

This blog is a step-by-step guide for a beginner in NLP. If you are someone who wants to know what is the best way to learn NLP from scratch, then please go through our blog till the end. How long does it take to learn NLP? How do I start learning NLP? NLP stands for Natural Language Processing.

Deep Learning 52

Deep Learning Programming Language Machine Learning Algorithm 52

Cloudera

DECEMBER 7, 2020

There are lessons to be learned from the brick and mortar or pure-play digital retailers that have been successful in the Covid-19 chaos. This blog is a first in a series that will examine the pillars and the successful customer case studies that have resulted. How a leading global drug store improved precision and timeliness.

Retail 61

Retail Unstructured Data Big Data Media 61

Cloudera

SEPTEMBER 28, 2020

The data lifecycle model ingests data using Kafka, enriches that data with Spark-based batch process, performs deep data analytics using Hive and Impala, and finally uses that data for data science using Cloudera Data Science Workbench to get deep insights. Data Science and machine learning workloads using CDSW. Cluster Type.

Cloud 131

Cloud Kafka Professional Services Metadata 131

Cloudera

NOVEMBER 10, 2021

This blog post provides CDH users with a quick overview of Ranger as a Sentry replacement for Hadoop SQL policies in CDP. Ranger also provides security administrators with deep visibility into their environment through a centralized audit location that tracks all the access requests in real time. . Why switch to Ranger? Upgrade to CDP.

Hadoop 74

Hadoop SQL Database Kafka 74

AltexSoft

JANUARY 18, 2023

You will learn this and more in our post. A language model is a type of machine learning model trained to conduct a probability distribution over words. 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

Knowledge Hut

JULY 28, 2023

Data Labeling is the process of assigning meaningful tags or annotations to raw data, typically in the form of text, images, audio, or video. These labels provide context and meaning to the data, enabling machine learning algorithms to learn and make predictions. What is Data Labeling for Machine Learning?

Machine Learning 52

Machine Learning Process Datasets Raw Data 52

Knowledge Hut

JANUARY 31, 2024

To know more about ITIL standards, CMBD, and ITIL learning paths, read the blog. CMDBs also allow IT teams to tag configuration items with relevant incident reports for future tracking and knowledgebase enrichment. ITIL Learning Paths Now that we have a good idea of what ITIL is and what its applications are.

Process 52

Process Certification Telecommunication Database 52

ProjectPro

NOVEMBER 17, 2021

In this blog, you’ll learn more about the benefits of sentiment analysis and ten project ideas divided by difficulty level. Table of Contents Top Sentiment Analysis Project Ideas With Source Code Using Machine Learning What is Sentiment Analysis? What is Sentiment Analysis? in any language.

Coding 52

Coding Project Entertainment Datasets 52

ProjectPro

OCTOBER 18, 2021

Machine Learning Projects are the key to understanding the real-world implementation of machine learning algorithms in the industry. These machine learning projects for students will also help them understand the applications of machine learning across industries and give them an edge in getting hired at one of the top tech companies.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

Knowledge Hut

SEPTEMBER 29, 2023

This blog aims to answer these questions, providing a straightforward and professional insight into the world of Azure Data Engineering. Azure is used by the majority of Fortune 500 firms for a variety of purposes, many of which are in the fields of big data, data science , machine learning, and AI.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

U-Next

MARCH 14, 2023

Enhanced Target Marketing According to businesses that were questioned, personalization is a key priority, but only 15% claim to have fully integrated it across all channels. Artificial Intelligence for e-commerce advancements has made deep personalization approaches possible.

Machine Learning 52

Machine Learning Electronics Media Retail 52

Knowledge Hut

OCTOBER 26, 2023

In the world of machine learning, where data-driven solutions have the power to transform industries and empower individuals, if you're new to this exciting field and eager to embark on your machine-learning journey, you're in the right place. What is Machine Learning, and why are ML projects interesting?

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

Pinterest Engineering

OCTOBER 31, 2023

The AMIs responsible for bootstrapping these nodes fall into three categories: general-purpose AMIs, machine learning focused AMI, and a customizable AMI. Each AMI is tagged according to type and version, and they utilize the Upgrade service to initiate automatic deployments. To explore and apply to open roles, visit our Careers page.

Architecture 96

Architecture Pipeline-centric Accessible Accessibility 96

ProjectPro

AUGUST 13, 2021

If you are a beginner searching for Machine Learning GitHub Projects, you are on the right page. Below you will find a list of Machine Learning projects on Github that are beginner-friendly and popular among Data Science enthusiasts. Face Detection Kaggle Machine Learning Projects on GitHub 1. Predictive Analytics 2.

Machine Learning 40

Machine Learning Project Deep Learning Datasets 40

Cloudera

NOVEMBER 12, 2020

This step gives the IT or platform administrator at the telco or the bank a feel for how heavy or light the replication is going to be before getting too deep into the process. First, they use WXM to create a custom workload view for each critical LoB user who can be tagged as a perpetual VIP (VIP workloads that run routinely).

Cloud 102

Cloud Data Warehouse Banking Data 102

ProjectPro

AUGUST 16, 2021

In this blog, you will find a list of interesting data mining projects that beginners and professionals can use. Often, beginners in Data Science directly jump to learning how to apply machine learning algorithms to a dataset. So, by working on this dataset, you can learn how to handle such kinds of values.

Data Mining 40

Data Mining Coding Project Datasets 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. Let’s start!

Datasets 52

Datasets Deep Learning Data Machine Learning 52

Cloudera

NOVEMBER 19, 2020

The Association of Certified Fraud Examiners reports the use of artificial intelligence and machine learning in anti-fraud programs is expected to almost triple in the next two years. Machine learning algorithms enable fraud detection systems to distinguish between legitimate and fraudulent behaviors.

Government 115

Government Machine Learning Algorithm Raw Data 115

ProjectPro

AUGUST 16, 2021

Sending out the exact old traditional style data science or machine learning resume might not be doing any favours in your machine learning job search. With cut-throat competition in the industry for high-paying machine learning jobs, a boring cookie-cutter resume might not just be enough.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

Knowledge Hut

DECEMBER 22, 2023

Though it sounds very cool, learning a new technology can be a daunting prospect. A planned approach can be extremely helpful while learning new skills. Before we start, let us look at what we will learn in this blog ! W e can learn at our own convenience and manage our schedules comfortably.

Coding 52

Coding Python Programming Language Certification 52

Pinterest Engineering

NOVEMBER 22, 2023

In the first blog, we will share a short summary on the GokuS and GokuL architecture, data format for Goku Long Term, and how we improved the bootstrap time for our storage and serving components. To learn more about data points, you can look at the Time Series Data Model in this post. Once the data becomes immutable (i.e.

Database 94

Database Bytes Kafka Architecture 94

AltexSoft

MAY 12, 2021

And machine learning techniques hold the potential of speeding up tumor localization dramatically. Recent research demonstrates that machine learning models show better results in skin cancer classification than an average dermatologist. Source: AWS Machine Learning Blog. Brain tumor segmentation with AI.

Medical 72

Medical Healthcare Datasets Machine Learning 72

LinkedIn Engineering

JULY 27, 2023

In this blog post, we will share our progress, challenges, and lessons learned from our Costwiz journey. Costwiz automates this process to alert teams of cost-saving options and proactively save money while giving teams deep visibility into your cloud costs. The flow diagram of the ownership system is described in Figure 6.

Metadata 75

Metadata Utilities Cloud Data Lake 75

ProjectPro

JANUARY 13, 2022

There’s one common aspect in both these cases, and that is what you will learn about in this article: Automatic Text Summarization. There is a high demand for machine learning algorithms that can quickly summarize lengthy texts and offer accurate insights. These snippets are taken directly from websites.

Python 52

Python Algorithm Deep Learning Data Science 52

ProjectPro

NOVEMBER 11, 2021

Are you willing to learn computer vision but cannot find the perfect guide to start your learning? If yes, then here’s a blog that will help you attain your goal in the easiest way possible! Read this blog until the end to learn how you can learn computer vision from scratch as a beginner.

Programming Language 52

Programming Language Deep Learning Machine Learning Algorithm 52

Airbnb Tech

APRIL 13, 2021

Though Airbnb’s cost data foundation is built with one cloud provider in mind, our learnings from building a pipeline, defining metrics, and designing visualizations apply regardless of the cloud provider. Project Name  — This is a user-defined tag which is surfaced in the CUR data. For example, the Viaduct project has its own tag.

AWS 52

AWS Raw Data Amazon Web Services Cloud 52

Netflix Tech

DECEMBER 3, 2022

by Jasmine Omeke , Obi-Ike Nwoke , Olek Gorajek Intro This post is for all data practitioners, who are interested in learning about bootstrapping, standardization and automation of batch data pipelines at Netflix. You may remember Dataflow from the post we wrote last year titled Data pipeline asset management with Dataflow.

Data Pipeline 143

Data Pipeline Scala Metadata Food 143

Lyft Engineering

NOVEMBER 17, 2022

This blog post will focus on the systems we’ve built to address OS and OS-package level vulnerabilities in a timely manner across hundreds of services run on Kubernetes. It’s also worth noting that this blog only covers OS package dependencies and not how to handle vulnerable libraries from specific languages like Python, Java, and Go.

Management 59

Management AWS Programming Project 59

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

ProjectPro

JANUARY 25, 2022

Learning Spark has become more of a necessity to enter the Big Data industry. Python is one of the most extensively used programming languages for Data Analysis, Machine Learning , and data science tasks. How long does it take to learn PySpark? What if you could use both these technologies together?

Big Data 52

Big Data Data Process Process Kafka 52

Knowledge Hut

APRIL 24, 2024

This permits all-out customization, simpler debugging, and integration of third-party JS plugins, with no requirement of learning Kotlin, Java, Swift, Objective-C, or any other programming language. You will later learn about the integration comparison. Instead, it reconstructs some subsections of those APIs.

Coding 52

Coding Certification Python Programming Language 52

ProjectPro

OCTOBER 20, 2021

With so many pseudo-data scientists cropping up due to numerous data science bootcamps and courses that offer theoretical learning, the interview questions for AI and machine learning jobs are getting streamlined to filter those who understand how real-world implementation works.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52