ProjectPro

JANUARY 31, 2023

If you are a machine learning engineer or a data scientist, learning how to save a machine learning model is the one of the most crucial steps for you to reuse the model without having to train it from scratch. In such cases, storing the version of the model comes handy.

Machine Learning 52

Machine Learning Data Science Python Programming Language 52

Knowledge Hut

JUNE 20, 2023

A novice data scientist prepared to start a rewarding journey may need clarification on the differences between a data scientist and a machine learning engineer. Many people are learning data science for the first time and need help comprehending the two job positions. Apache Spark, Microsoft Azure, Amazon Web services, etc.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

Zalando Engineering

APRIL 18, 2022

To optimize the fashion experience for 46 million of our customers, Zalando embraces the opportunities provided by machine learning (ML). Let's look at it from the point of view of a machine learning practitioner, such as an applied scientist or a software engineer. Using the HPC is as easy as connecting to it via SSH.

Machine Learning 52

Machine Learning AWS Software Engineer Software Engineering 52

Knowledge Hut

JUNE 16, 2023

Machine learning is the domain under artificial intelligence, devoted to using algorithms that help machines learn things like humans. The algorithms use historical data as input to predict the outputs until the machine gains human-like proficiency. Million professionals contributing to it.

Machine Learning 52

Machine Learning Data Mining Algorithm Data Science 52

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. Impedance mismatch between data scientists, data engineers and production engineers.

Machine Learning 107

Machine Learning Python Kafka Java 107

AltexSoft

NOVEMBER 17, 2021

As today’s digital storages can serve large amounts of items, it becomes difficult to categorize them manually. So businesses employ machine learning (ML) and Artificial Intelligence (AI) technologies for classification tasks. Namely, we’ll look at how rule-based systems and machine learning models work in this context.

Machine Learning 75

Machine Learning Insurance Medical Healthcare 75

Data Engineering Podcast

AUGUST 6, 2023

Get all of the details and try the new product today at dataengineeringpodcast.com/rudderstack Your host is Tobias Macey and today I'm interviewing Barr Moses and Anna Filippova about how and whether to measure the ROI of your data team Interview Introduction How did you get involved in the area of data management?

Machine Learning 130

Machine Learning SQL Data Data Engineering 130

ProjectPro

SEPTEMBER 6, 2021

The Machine Learning market is anticipated to be worth $30.6 Machine Learning plays a vital role in the design and development of such solutions. Machine learning is everywhere. Machine Learning has a wide range of use cases and applications in this area. Billion in 2024.

Machine Learning 52

Machine Learning Retail Healthcare Medical 52

U-Next

NOVEMBER 8, 2022

Machine Learning is a branch of computer science that focuses on giving computers the ability to learn without being explicitly programmed. It’s mostly used for predictive modeling, but it can also be used for other types of data analysis. . There are also lots of Machine Learning libraries available in Python.

Machine Learning 40

Machine Learning Python Deep Learning Algorithm 40

Knowledge Hut

FEBRUARY 29, 2024

Steps to Learn and Master Data Science Learning a Language – Python Choosing and learning a new programming language is not an easy thing, in terms of learning data science, Python comes out first. Python is a high-level, interpreted, general-purpose, object-oriented programming language.

Data Science 98

Data Science Datasets Database Design Machine Learning 98

Knowledge Hut

JANUARY 18, 2024

Data science is a multidisciplinary field that requires a broad set of skills from mathematics and statistics to programming, machine learning, and data visualization. The world has been swept by the rise of data science and machine learning. You don't need to be an expert programmer or know specific languages.

Programming Language 98

Programming Language Data Science Programming Scala 98

ProjectPro

OCTOBER 18, 2021

Machine Learning Projects are the key to understanding the real-world implementation of machine learning algorithms in the industry. It is because these apps render machine learning models that try to understand the customer's taste.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

Knowledge Hut

DECEMBER 26, 2023

Thus, almost every organization has access to large volumes of rich data and needs “experts” who can generate insights from this rich data. Data Science is a combination of several disciplines including Mathematics and Statistics, Data Analysis, Machine Learning, and Computer Science.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

ProjectPro

FEBRUARY 25, 2022

What is a Machine Learning Pipeline? A machine learning pipeline helps automate machine learning workflows by processing and integrating data sets into a model, which can then be evaluated and delivered. A well-built pipeline helps in the flexibility of the model implementation.

Machine Learning 52

Machine Learning Building Amazon Web Services AWS 52

Scott Logic

APRIL 22, 2024

Large-model AI is becoming more and more influential in the market, and with the well-known tech giants starting to introduce easy-access AI stacks, a lot of businesses are left feeling that although there may be a use for AI in their business, they’re unable to see what use cases it might help them with.

BI 97

BI Software Engineer Software Engineering Algorithm 97

Knowledge Hut

MAY 9, 2024

Skills Required Data architects must be proficient in programming languages such as Python, Java, and C++, Hadoop and NoSQL databases, predictive modeling, and data mining, and experience with data modeling tools like Visio and ERWin. Average Annual Salary of Data Modeler A data modeler can earn $126,811 annually.

Data Science 52

Data Science Data Mining Data Architect Programming Language 52

Knowledge Hut

JANUARY 18, 2024

Most organizations are still in the initial stages of learning how to apply data science to gain business benefits and healthy returns. To maximize the benefits of data science, people need to have good technical knowledge of managing the data in a production environment, without which the awareness of full stack data science is insufficient.

Data Science 96

Data Science Computer Science Programming Language Machine Learning 96

Christophe Blefari

APRIL 5, 2024

AI News 🤖 LlamaIndex slides, examples with Mistral AI — A few slides with a lot of example on how you can use LlamaIndex with Mistral AI models. This week they released a new open model that performs great. When is the data model finished? — Spoiler: a data model is never finished.

SQL 130

SQL Data Python Datasets 130

ProjectPro

OCTOBER 8, 2021

Retail is one of the first industries that started leveraging the power of machine learning and artificial intelligence. There are machine learning projects for almost every retail use case - right from inventory management to customer satisfaction. You can start by downloading the Online Retail Dataset.

Retail 52

Retail Machine Learning Project Datasets 52

ProjectPro

DECEMBER 16, 2021

Are you a newbie in the data science domain ready to embark on a rewarding journey but are confused between the roles of a Machine Learning Engineer vs Data Scientist? Read this article to understand the significant differences and similarities between a machine learning engineer and a data scientist.

Machine Learning 52

Machine Learning Engineering Pipeline-centric Database-centric 52

Cloudera

MARCH 26, 2024

How do you adapt a foundational model to your specific needs? Cloudera: Your Trusted Partner in AI With over 25 Exabytes of Data Under Management and hundreds of customers leveraging our platform for Machine Learning, Cloudera has a long and successful history as an industry leader. How much is all this really going to cost?

Machine Learning 80

Machine Learning Banking Professional Services Architecture 80

Knowledge Hut

DECEMBER 29, 2023

In addition, there are professionals who want to remain current with the most recent capabilities, such as Machine Learning, Deep Learning, and Data Science, in order to further their careers or switch to an entirely other field. It's possible they'll zero down on a certain data kind, like Big Data, or a computer language.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Knowledge Hut

APRIL 25, 2024

If you pursue the MSc big data technologies course, you will be able to specialize in topics such as Big Data Analytics, Business Analytics, Machine Learning, Hadoop and Spark technologies, Cloud Systems etc. In the past, this data was too large and complex for traditional data processing tools to handle.

Big Data 98

Big Data Technology NoSQL Hadoop 98

Data Engineering Weekly

MARCH 10, 2024

Big thanks to our insightful speakers, Hareshkumar Selvakumar - Talks about his work on Data Products for PayPal. Major ML dataset repositories and frameworks support Croissant, simplifying the discovery, preparation, and utilization of datasets for machine learning practitioners by standardizing and organizing them.

Data Engineering 52

Data Engineering Data Engineer Engineering Datasets 52

Knowledge Hut

MAY 2, 2024

As per Apache, “ Apache Spark is a unified analytics engine for large-scale data processing ” Spark is a cluster computing framework, somewhat similar to MapReduce but has a lot more capabilities, features, speed and provides APIs for developers in many languages like Scala, Python, Java and R. billion (2019 - 2022).

Scala 52

Scala Hospitality Healthcare Retail 52

Data Engineering Weekly

APRIL 14, 2024

Meta: OpenEQA - From word models to world models Will AI agents soon become a common fixture in our homes and an integral part of our daily lives? Every survey demonstrates an increase in productivity in software development with copilot-type tools. Github shares some insights on how Github engineers use Github Copilot.

Data Engineering 62

Data Engineering Data Engineer Engineering Business Intelligence 62

Knowledge Hut

DECEMBER 22, 2023

They design, develop, and implement AI applications and models, creating the infrastructure needed for AI systems to function effectively. AI Data Analyst AI Data Analysts leverage artificial intelligence tools and techniques to analyze large volumes of data. They uncover patterns and insights that inform business decisions.

Amazon Web Services 98

Amazon Web Services Computer Science Algorithm Programming Language 98

AltexSoft

OCTOBER 18, 2022

Everyday the global healthcare system generates tons of medical data that — at least, theoretically — could be used for machine learning purposes. Yet, in both cases, the necessity to comply with regulations adds an extra step to the preparation of datasets for machine learning. Medical data labeling. Let’s sum up.

Medical 52

Medical Datasets Machine Learning Hospitality 52

Data Engineering Weekly

APRIL 7, 2024

link] Matt Turck: Full Steam Ahead: The 2024 MAD (Machine Learning, AI & Data) Landscape Coninue the week of insights into the world of data & AI landscape, the 2024 MAD landscape is out. EvalPlus builds a leadership board to demonstrate the efficiency of leading AI coder models.

Data Engineering 70

Data Engineering Data Engineer Engineering Unstructured Data 70

Rockset

APRIL 18, 2023

To highlight these new capabilities, we built a search demo using OpenAI to create embeddings for Amazon product descriptions and Rockset to generate relevant search results. Organizations have continued to accumulate large quantities of unstructured data, ranging from text documents to multimedia content to machine and sensor data.

Unstructured Data 105

Unstructured Data Metadata Machine Learning SQL 105

Knowledge Hut

JANUARY 18, 2024

Data science is a multidisciplinary field that requires a broad set of skills from mathematics and statistics to programming, machine learning, and data visualization. The world has been swept by the rise of data science and machine learning. You don't need to be an expert programmer or know specific languages.

Programming Language 75

Programming Language Data Science Programming Scala 75

Snowflake

DECEMBER 5, 2023

Engaging with partners and customers — and showcasing what’s new on the Snowflake product front — made for a dynamic time in Las Vegas. Here are highlights from the collaborations, integrations and product enhancements that we were proud to dig in to throughout the week.

AWS 100

AWS Amazon Web Services Government Cloud Computing 100

LinkedIn Engineering

OCTOBER 19, 2023

Authors: Bingfeng Xia and Xinyu Liu Background At LinkedIn, Apache Beam plays a pivotal role in stream processing infrastructures that process over 4 trillion events daily through more than 3,000 pipelines across multiple production data centers. The release of Apache Beam in 2016 proved to be a game-changer for LinkedIn.

Process 119

Process Lambda Architecture Kafka Machine Learning 119

Snowflake

MAY 2, 2024

Snowflake Marketplace is designed to give customers and organizations a place to easily find, try and buy data, apps and AI products that help solve their most pressing business problems. Q: What’s the process for listing a data product on Snowflake Marketplace? See full terms and conditions.) Q: How do I set the price for my listing?

Electronics 86

Electronics Media Accessible Accessibility 86

Snowflake

APRIL 20, 2023

Generative AI and large language models (LLMs) are revolutionizing many aspects of both developer and non-coder productivity with automation of repetitive tasks and fast generation of insights from large amounts of data. Figure 1: Visual Question Answering Challenge data types and results.

Building 115

Building Unstructured Data Government Coding 115

Data Engineering Weekly

MARCH 17, 2024

Stephanie Kirmer: Uncovering the EU AI Act Large language models have taken the world by storm, and every country is trying to evaluate its potential impact. It also introduces emerging standards like the Open Data Contract Standard and Data Product Descriptor Specification. Watch out, aldefi.io , for more updates.

Data Engineering 70

Data Engineering Data Engineer Engineering Data Governance 70

Striim

MAY 16, 2024

Unlike traditional models, GenAI integrates deep learning and real-time data processing, allowing for dynamic customer interactions that are both contextual and highly personalized. At its core, GenAI involves the use of sophisticated AI models that can process and analyze data in real time, predicting customer needs and preferences.

Algorithm 52

Algorithm Media Transportation Machine Learning 52