Cloudera

MAY 27, 2021

It’s important to be conscious of this reality when creating algorithms and training models. Big data algorithms are smart, but not smart enough to solve inherently human problems. How can developers ensure algorithms are used for good deeds rather than nefarious purposes — that the vehicle doesn’t purposely run someone off the road?

Algorithm 119

Algorithm Media Consulting Machine Learning 119

The Pragmatic Engineer

JULY 20, 2023

In 2019, we were on our way to signing our first major customer contract for API fuzzing. Building algorithms for conveying insights from API traffic. People loved our fuzzer demos. But then we couldn’t deploy our fuzzer because most teams were lacking specs for their APIs! Doing all this took more time than I expected!

Building 235

Building Programming Language Programming Python 235

Confluent

AUGUST 29, 2019

We will cover how you can use them to enrich and visualize your data, add value to it with powerful graph algorithms, and then send the result right back to Kafka. Step 2: Using graph algorithms to recommend potential friends. Link prediction algorithms. Common Neighbors algorithm.

Kafka 55

Kafka Process Algorithm Cloud 55

KDnuggets

AUGUST 28, 2019

Algorithms Notes for Professionals - Free Book; 10 simple Linux tips which save 50% of my time in the command line; Why so many #DataScientists are leaving their jobs; Order Matters: Alibaba Transformer-based Recommender System.

Algorithm 67

Algorithm Systems 67

Lyft Engineering

JUNE 8, 2023

Lyft was founded in 2012 and went public in 2019, with the mission to improve people’s lives with the world’s best transportation. We’re looking for driven engineers to fortify our European operations and solve some of the hardest problems in building large distributed systems to support rideshare, mapping, and more.

Transportation 104

Transportation Algorithm Machine Learning Engineering 104

KDnuggets

AUGUST 21, 2019

Check out this tutorial walking you through a comparison of XGBoost and Random Forest. You'll learn how to create a decision tree, how to do tree bagging, and how to do tree boosting.

Algorithm 86

Algorithm Python 86

KDnuggets

AUGUST 7, 2019

There are dozens of machine learning algorithms out there. It is impossible to learn all their mechanics; however, many algorithms sprout from the most established algorithms, e.g. ordinary least squares, gradient boosting, support vector machines, tree-based algorithms and neural networks.

Coding 117

Coding Algorithm Machine Learning IT 117

Cloudera

DECEMBER 1, 2023

Launched in 2019, this strategy aims to position the US as a leader in AI research, development, and deployment. Governments should establish clear guidelines and regulations surrounding the use of AI, ensuring that algorithms are fair, unbiased, and respectful of privacy rights.

Building 109

Building Government Transportation Data Governance 109

KDnuggets

DECEMBER 17, 2019

Read this overview of a complete pipeline for detecting pedestrians on the road.

Algorithm 74

Algorithm Python 74

KDnuggets

DECEMBER 24, 2019

This article is about Market Basket Analysis & the Apriori algorithm that works behind it.

Algorithm 157

Algorithm Data Mining IT Python 157

Edureka

FEBRUARY 12, 2025

On the other hand, a Software Engineer focuses on specific areas of development, such as system design, algorithms, or a programming language. The United States Bureau of Labor Statistics predicts a 22% increase in software developer jobs from 2019 to 2029, which is substantially faster than the average for many other occupations.

Software Engineer 52

Software Engineer Software Engineering Computer Science Programming Language 52

Knowledge Hut

JUNE 25, 2024

This book's publisher is "No Starch Press," and the second edition was released on November 12, 2019. Let’s study them further below: Machine learning : Tools for machine learning are algorithmic uses of artificial intelligence that enable systems to learn and advance without a lot of human input.

Data Science 97

Data Science Python Hadoop Machine Learning 97

Knowledge Hut

MAY 2, 2024

According to the marketanalysis.com report forecast, the global Apache Spark market will grow at a CAGR of 67% between 2019 and 2022. billion (2019 – 2022). You can view the same data as both graphs and collections, transform and join graphs with RDDs efficiently, and write custom iterative graph algorithms using the Pregel API.

Hadoop 96

Hadoop Scala Datasets Java 96

U-Next

FEBRUARY 26, 2023

Today it’s one of the largest internet companies in the world, with annual revenue of over $160 billion (2019). They’ve done extensive research on deep learning and are constantly pushing out new algorithms for speech recognition, image recognition, and language translation, just to name a few examples.

Data Science 98

Data Science Machine Learning Consulting Data Mining 98

Netflix Tech

JANUARY 22, 2021

channel surround sound in 2010, Dolby Atmos in 2017 , and adaptive bitrate audio in 2019. To reduce dynamic range in a sonically pleasing way requires a sophisticated algorithm, ideally with significant lookahead. In 2019, we began delivering high-quality, adaptive bitrate audio to TVs. We began streaming 5.1

Metadata 110

Metadata Programming Algorithm Media 110

KDnuggets

SEPTEMBER 12, 2019

This article explains the Support Vector Machines (SVM) algorithm in an easy way.

Algorithm 117

Algorithm Machine Learning 117

Cloudera

FEBRUARY 8, 2021

billion in 2019, and is projected to reach $225.16 The diagram below summarizes a dynamic machine learning life cycle in which the connected vehicles ML algorithms model accuracy is continuously improved through a fully integrated machine learning lifecycle. billion by 2027, registering a CAGR of 17.1% from 2020 to 2027.

Manufacturing 108

Manufacturing Machine Learning Data Ingestion Electronics 108

Cloudera

DECEMBER 3, 2021

In 2019, the Gradient institute published a white paper outlining the practical challenges for Ethical AI. This includes guidance on algorithms, testing, quality control and reusable artefacts. Surely there are ways to comb through the data to minimise the risks from spiralling out of control. We need to get to the root of the problem.

Government 102

Government Hospitality Education Designing 102

Scott Logic

DECEMBER 14, 2024

Failure modes For one of the years (2019) I took a closer look at the puzzles where o1-mini had failed to give the correct answer. I experimented with adding the following to the system prompt: Consider smart algorithmic methods and mathematical techniques that might yield a better result.

Coding 98

Coding Datasets Software Engineer Software Engineering 98

Towards Data Science

MAY 30, 2023

Comparing the performance of ORC and Parquet on spatial joins across 2 Billion rows on an old Nvidia GeForce GTX 1060 GPU on a local machine Photo by Clay Banks on Unsplash Over the past few weeks I have been digging a bit deeper into the advances that GPU data processing libraries have made since I last focused on it in 2019.

Data Engineering 97

Data Engineering Data Engineer Engineering Datasets 97

Netflix Tech

MAY 28, 2021

However, in 2019, I explored several data science opportunities in the tech industry, and I was completely won over by the opportunity to join the Studio Production Data Science & Engineering team at Netflix. I have recently been reading the book Algorithms to Live By , written by Brian Christian and Tom Griffiths. By March 2020?—?less

Entertainment 83

Entertainment Healthcare Data Science Finance 83

KDnuggets

SEPTEMBER 27, 2019

The article contains a brief introduction to various concepts related to Hierarchical clustering algorithm.

Algorithm 122

Algorithm Machine Learning Python 122

KDnuggets

OCTOBER 21, 2019

If you are interested in learning more about the latest Youtube recommendation algorithm paper, read this post for details on its approach and improvements.

Algorithm 123

Algorithm IT Systems Engineering 123

Netflix Tech

NOVEMBER 13, 2023

Similarly, algorithms for dialogue intelligibility, spoken-language-identification and speech-transcription are only applied to audio regions where there is measured speech. Training examples were produced between 2016 and 2019, in 13 countries, with 60% of the titles originating in the USA.

Datasets 93

Datasets Metadata Algorithm Architecture 93

KDnuggets

SEPTEMBER 17, 2019

The article contains a brief introduction of Bioinformatics and how a machine learning classification algorithm can be used to classify the type of cancer in each patient by their gene expressions.

Machine Learning 123

Machine Learning Algorithm Python 123

KDnuggets

SEPTEMBER 4, 2019

Recommender systems are an important class of machine learning algorithms that offer "relevant" suggestions to users. Categorized as either collaborative filtering or a content-based system, check out how these approaches work along with implementations to follow from example code.

Machine Learning 123

Machine Learning Systems Algorithm Coding 123

Knowledge Hut

JANUARY 18, 2024

Data Scientists, also touted as the "sexiest job of the 21st century", have seen job postings for it rise by 256% over the year 2019. These streams basically consist of algorithms that seek to make either predictions or classifications by creating expert systems that are based on the input data.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

KDnuggets

SEPTEMBER 25, 2019

Learn about unexpected risk of AI applied to Big Data; Study 5 Sampling Algorithms every Data Scientist needs to know; Read how one data scientist copes with his boring days of deploying machine learning; 5 beginner-friendly steps to learn ML with Python; and more.

Algorithm 53

Algorithm Big Data Python Machine Learning 53

AltexSoft

APRIL 12, 2022

An ML model is an algorithm (e.g., For example, Facebook’s ad-serving algorithm was accused of being discriminatory as it reproduced real-world gender disparities when showing job listings, even among equally qualified candidates. To enable algorithm fairness, you can: research biases and their causes in data (e.g.,

Insurance 98

Insurance Recruitment Government Algorithm 98

Netflix Tech

MARCH 1, 2021

Its sweet spot is applications that involve resource-intensive algorithms coordinated via complex, hierarchical workflows that last anywhere from minutes to years. A set of rules orchestrate workflow steps and a set of serverless functions power domain-specific algorithms. debian packages).

Media 94

Media Pipeline-centric Algorithm Coding 94

Netflix Tech

APRIL 17, 2019

Intel and Netflix announced their collaboration on a software video encoder implementation called SVT-AV1 on April 8, 2019. In August 2018, Netflix’s Video Algorithms team and Intel’s Visual Cloud team decided to join forces on SVT-AV1 development. Started a decoder project that shares common parts of AV1 algorithms with the encoder.

Coding 66

Coding Algorithm Programming Language Manufacturing 66

KDnuggets

AUGUST 21, 2019

Utilizing stacking (stacked generalizations) is a very hot topic when it comes to pushing your machine learning algorithm to new heights. For instance, most if not all winning Kaggle submissions nowadays make use of some form of stacking or a variation of it.

Python 97

Python Algorithm Machine Learning Utilities 97

KDnuggets

AUGUST 9, 2019

In this article, we will explore using the K-Means clustering algorithm to read an image and cluster different regions of the image. Image segmentation is the classification of an image into different groups. Many kinds of research have been done in the area of image segmentation using clustering.

Algorithm 115

Algorithm Python 115

Knowledge Hut

DECEMBER 27, 2023

Understanding whether a blockchain platform supports which consensus protocol is essential; thus, different consensus algorithms are available, including Proof of Work, Proof of Stake, Proof of Burn, and many more, so you can use them according to your need. Does the Platform Support Smart Contracts Functionality?

Programming Language 98

Programming Language Banking Utilities Algorithm 98

KDnuggets

AUGUST 27, 2019

Recently, AI researchers from IBM open sourced AI Explainability 360, a new toolkit of state-of-the-art algorithms that support the interpretability and explainability of machine learning models.

Machine Learning 110

Machine Learning Algorithm 110

Cloudera

NOVEMBER 15, 2021

Deep Learning, a subset of AI algorithms, typically requires large amounts of human annotated data to be useful. In 2019 OpenAI reported that the computational power used in the largest AI trainings has been doubling every 3.4 Here we briefly describe some of the challenges that data poses to AI. Data annotation. months since 2012.

Unstructured Data 90

Unstructured Data Pipeline-centric Database-centric Entertainment 90

Robinhood

NOVEMBER 29, 2023

We also use a number of security tools to protect customers’ accounts including two-factor authentication, encryption, BCrypt hashing algorithm for password storage, and more. People can connect with our team of dedicated customer service agents 24/7. This is just the beginning. billion during 2020–2021.”

Retail 83

Retail Portfolio Finance Insurance 83