Cloudera

DECEMBER 1, 2023

It focuses on five key pillars: investing in research and development; unleashing government AI resources; setting standards and policy; building the AI workforce; and advancing trust and security. The post Building Trust in Public Sector AI Starts with Trusting Your Data appeared first on Cloudera Blog. million), among others.

Building 105

Building Government Transportation Data Governance 105

Dataquest

MARCH 24, 2020

Algorithms are at the center of almost any programming job. And particularly in the world of data engineering, using efficient algorithms is important enough that it’s a common topic to be quizzed about in job interviews. Algorithm Complexity is the latest course in our Data Engineer career path.

Algorithm 52

Algorithm Python Data Engineering Data Engineer 52

Pinterest Engineering

SEPTEMBER 20, 2023

These teams work together to ensure algorithmic fairness, inclusive design, and representation are an integral part of our platform and product experience. Our commitment is evidenced by our history of building products that champion inclusivity. “Everyone” has been the north star for our Inclusive AI and Inclusive Product teams.

Building 85

Building Pipeline-centric Machine Learning Datasets 85

ProjectPro

NOVEMBER 25, 2021

You will discover different models and algorithms that are widely used for text classification and representation. Applications of Text Classification Text Classification Algorithms Text Classification Models Text Classification Machine Learning NLP Project Ideas What is Text Classification?

Machine Learning 52

Machine Learning Algorithm Datasets Google Cloud 52

KDnuggets

JANUARY 22, 2020

The article explains the Random Forest algorithm and how to build and optimize a Random Forest classifier.

Algorithm 77

Algorithm Building Python 77

Teradata

FEBRUARY 3, 2021

Read how a principal data scientist at Teradata leveraged his cross-industry expertise to build an algorithm to help doctors better understand & fight COVID-19.

Algorithm 71

Algorithm Building Data 71

KDnuggets

JANUARY 14, 2020

All you need to know about decision trees and how to build and optimize decision tree classifier.

Algorithm 115

Algorithm Building 115

Snowflake

APRIL 20, 2023

Snowflake users are already taking advantage of LLMs to build really cool apps with integrations to web-hosted LLM APIs using external functions , and using Streamlit as an interactive front end for LLM-powered apps such as AI plagiarism detection , AI assistant , and MathGPT. Join us in Vegas at our Summit to learn more.

Building 115

Building Unstructured Data Government Coding 115

KDnuggets

FEBRUARY 9, 2022

The algorithms for generating text based 10 blue-links are very different from finding visually similar or related images. In this article, we will explain one such method to build a visual search engine. Ever wonder how Google or Bing finds similar images to your image?

Building 92

Building Engineering Datasets Algorithm 92

KDnuggets

FEBRUARY 17, 2022

The algorithms for generating text based 10 blue-links are very different from finding visually similar or related images. In this article, we will explain one such method to build a visual search engine. Ever wonder how Google or Bing finds similar images to your image?

Engineering 91

Engineering Building Datasets Algorithm 91

Snowflake

DECEMBER 11, 2023

While digital advertisers and paid media professionals are on the hook to build ample sales pipeline and maximize return on ad spend (ROAS), they’re also expected to deliver personalized advertising content while navigating evolving privacy requirements and adhering to consumer expectations—all while extracting insights from siloed ad platforms.

Building 88

Building Cloud Media Algorithm 88

LinkedIn Engineering

MARCH 21, 2023

One of the most exciting parts of our work is that we get to play a part in helping progress a skills-first labor market through our team’s ongoing engineering work in building our Skills Graph. soft or hard skill), descriptions of the skill (“the study of computer algorithms…”), and more. What is the skills taxonomy?

Building 85

Building Recruitment Machine Learning Deep Learning 85

Data Engineering Podcast

DECEMBER 7, 2020

Summary Building data products are complicated by the fact that there are so many different stakeholders with competing goals and priorities. When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

Building 100

Building Big Data Consulting Data Engineering 100

KDnuggets

MARCH 15, 2022

Also: Decision Tree Algorithm, Explained; The Complete Collection of Data Science Cheat Sheets – Part 2; Top Programming Languages and Their Uses; The Complete Collection of Data Science Cheat Sheets – Part 1.

Machine Learning 144

Machine Learning Programming Language Building Data Science 144

AltexSoft

MAY 12, 2022

Aiming at understanding sound data, it applies a range of technologies, including state-of-the-art deep learning algorithms. Another application of musical audio analysis is genre classification: Say, Spotify runs its proprietary algorithm to group tracks into categories (their database holds more than 5,000 genres ).

Machine Learning 122

Machine Learning Building Datasets Healthcare 122

KDnuggets

FEBRUARY 28, 2022

Unless you have a basic knowledge of calculus, you cannot understand how machine learning algorithms are developed. Calculus for Machine Learning is designed for developers to get you up to speed on the calculus that you need for applied machine learning.

Machine Learning 89

Machine Learning Building Algorithm Coding 89

Data Engineering Podcast

AUGUST 31, 2020

When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. Can you start by describing what Firebolt is and your motivation for building it? What technologies might someone replace with Firebolt?

Data Warehouse 100

Data Warehouse Cloud Building Data Lake 100

Netflix Tech

OCTOBER 12, 2022

So my job is to make sure that all the tooling and infrastructure we have at Netflix for experimentation does what it needs to do, and to set the road map for the next year or more for what we’re building. And so I did that and spent some time building out search algorithms and recommendation engines at Yelp. You’re a PM.

Building 75

Building Designing Management Algorithm 75

Data Engineering Podcast

DECEMBER 14, 2020

They share the journey that they went through to build a scalable and maintainable system for web scraping, how to make it reliable and resilient to errors, and the lessons that they learned in the process. This was a great conversation about real world experiences in building a successful data-oriented business.

Data Analytics 100

Data Analytics Building MySQL Data 100

Data Engineering Podcast

JULY 27, 2020

In this episode he shares his approach to testing complex systems, the common challenges that are faced by engineers who build them, and why it is important to understand their limitations. What are the pros and cons of using Clojure for building Jepsen? How is Jepsen implemented?

Systems 100

Systems Building Scala Java 100

ProjectPro

FEBRUARY 25, 2022

Efficient Scheduling and Runtime Increased Adaptability and Scope Faster Analysis and Real-Time Prediction Introduction to the Machine Learning Pipeline Architecture How to Build an End-to-End a Machine Learning Pipeline? This makes it easier for machine learning pipelines to fit into any model-building application.

Machine Learning 52

Machine Learning Building Amazon Web Services AWS 52

Knowledge Hut

FEBRUARY 1, 2024

Today, we’ll talk about how Machine Learning (ML) can be used to build a movie recommendation system - from researching data sets & understanding user preferences all the way through training models & deploying them in applications. The heart of this system lies in the algorithm used in movie recommendation system.

Systems 98

Systems Entertainment Algorithm Datasets 98

Edureka

NOVEMBER 28, 2023

OpenCV was build to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in the commercial products. The Library has more than 2500 optimized algorithms, which includes a comprehensive set of both classic and state-of-the art computer vision and machine learning algorithms.

Python 98

Python Algorithm Machine Learning Programming Language 98

Christophe Blefari

MARCH 22, 2024

On my side I'll talk about Apache Superset and what you can do to build a complete application with it. Capslocks and repetitions to make the algorithm understand. In this blog Julien covers the new Pythonic tooling and how far it can bring us in building lightweight programmatic data stacks. Now give me the news.

Electronics 130

Electronics Media Data Python 130

Cloudera

FEBRUARY 8, 2021

For this purpose, I will use the LSTM (Long Short-term memory) algorithm. App Serving – Build and Serve Custom applications for ML use-cases. Simple, drag-and-drop building of dashboards and apps with Cloudera Data Visualization. Build the application. Pre-packaged applications to insights to business users.

Building 72

Building Machine Learning Database Algorithm 72

U-Next

MARCH 15, 2023

Students will be able to build on their knowledge of computer science and apply it by working on real-world projects. The course covers all concepts related to computer science and programming, including algorithms, data structures, object-oriented programming, software engineering principles, and more. appeared first on UNext.

Portfolio 52

Portfolio Project Building Computer Science 52

Christophe Blefari

APRIL 12, 2024

I've shared my journey with Apache Superset and why I consider Superset the best open-source alternative when it comes to building BI applications. Yes because you should stop building dashboard and build BI apps instead. MDS Fest 🥳 As announced last week I've participated to the MDS Fest 2.0 this Thursday.

BI 130

BI SQL Data Coding 130

Knowledge Hut

APRIL 25, 2024

Recognizing the difference between big data and machine learning is crucial since big data involves managing and processing extensive datasets, while machine learning revolves around creating algorithms and models to extract valuable information and make data-driven predictions.

Machine Learning 52

Machine Learning Big Data Unstructured Data Data Mining 52

Christophe Blefari

JANUARY 20, 2024

Zuckerberg teased 2024 Meta AI strategy — In a selfie video on Facebook / Instagram Zucky explained that Llama 3 is coming and that Meta is building a massive 600k H100 NVidia GPU infrastructure. Far from trends and the lights, it's actually time to build tools. in pre-seed to build GenAI monitoring applications.

Data 130

Data Google Cloud Python Algorithm 130

Knowledge Hut

FEBRUARY 1, 2024

Machine learning algorithms produce these suggestions. They utilize this information to learn more about their customers or build a platform to assist new ones. Data-driven optimisation algorithms coordinate the complex dance of logistics, delivery schedules, and cost economies. Thinking about Amazon and Netflix?

Data Science 96

Data Science Retail Algorithm Manufacturing 96

Knowledge Hut

APRIL 26, 2024

Machine learning uses algorithms that comb through data sets and continuously improve the machine learning model. Many datasets are available online for learners who are starting off on building machine learning models. A background of Mathematics also helps users to implement algorithm s on their own.

Datasets 98

Datasets Machine Learning Deep Learning Finance 98

Netflix Tech

JUNE 1, 2023

To do this, we devised a novel way to simulate the projected traffic weeks ahead of launch by building upon the traffic migration framework described here. We used this simulation to help us surface problems of scale and validate our Ads algorithms. Basic with ads was launched worldwide on November 3rd.

Algorithm 136

Algorithm Metadata Kafka Systems 136

Knowledge Hut

DECEMBER 22, 2023

Roles & Responsibilities: Develop algorithms and machine learning models Implement AI frameworks and programming languages Design, test, and deploy AI models Collaborate with data scientists and other AI professionals Top Hiring Companies: Google, IBM, Microsoft, Amazon, Facebook, NVIDIA, Apple, Intel, Baidu, and Oracle.

Amazon Web Services 98

Amazon Web Services Computer Science Algorithm Programming Language 98

Zalando Engineering

SEPTEMBER 20, 2017

Several authors advise against forecast demand for these products, but instead build an agile supply chain that can satisfy demand as soon as it occurs. How agile product development helped the process Agile product development is a perfect fit for data-driven product development, especially when the product is a replenishment algorithm.

Algorithm 40

Algorithm Retail Data Science Programming 40

Grouparoo

AUGUST 3, 2020

Building the common case for one is not particularly hard, but there are some tricks to keep in mind and tradeoffs to make. In the Github repo , I explore different versions of these tradeoffs that produce completely new algorithms. Specifically, the approach I am going to describe is called delta-based synchronization.

Engineering 52

Engineering Building MySQL Database 52

Scott Logic

APRIL 22, 2024

You can select which algorithm(s) to use to train the model; but then all you need to do is wait. You can build side-by-side visualisations for the state of your business and ML predictions for future trends. In particular, with SageMaker Canvas, it’s possible to create a machine learning model entirely graphically. Generative BI?

BI 97

BI Software Engineer Software Engineering Algorithm 97

Knowledge Hut

OCTOBER 29, 2023

From machine learning algorithms to data mining techniques, these ideas are sure to challenge and engage you. designing an algorithm to improve the efficiency of hospital processes. To develop such an app, you will need to have a strong understanding of computer science concepts such as data structures and algorithms.

Computer Science 111

Computer Science Coding Project Hospitality 111