Snowflake

MARCH 18, 2025

Welcome to Snowflakes Startup Spotlight, where we learn about awesome companies building businesses on Snowflake. I want to protect the digital world, harness collective defense and deep learning for cybersecurity and take back the initiative from attackers. Describe your company in one sentence. AI is on everyone's mind.

Deep Learning 92

Deep Learning Banking Government Systems 92

KDnuggets

NOVEMBER 29, 2023

The article examines the pros and cons of building an on-premise GPU machine versus using a GPU cloud service for projects involving deep learning and artificial intelligence, analyzing factors like cost, performance, operations, and scalability.

Cloud 135

Cloud Building Deep Learning Project 135

KDnuggets

OCTOBER 19, 2022

3 Valuable Skills That Have Doubled My Income as a Data Scientist • The Complete Free PyTorch Course for Deep Learning • 7 Free Platforms for Building a Strong Data Science Portfolio • Mathematics for Machine Learning: The Free eBook • 25 Advanced SQL Interview Questions for Data Scientists.

Deep Learning 108

Deep Learning Portfolio Machine Learning Data Science 108

KDnuggets

DECEMBER 13, 2021

Also: 5 Practical Data Science Projects That Will Help You Solve Real Business Problems for 2022; How to Get Certified as a Data Scientist; A $9B AI Failure, Examined; AI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments in 2021 and Key Trends for 2022.

Deep Learning 140

Deep Learning Building Data Science Machine Learning 140

KDnuggets

SEPTEMBER 5, 2019

This blog summarizes the career advice/reading research papers lecture in the CS230 Deep learning course by Stanford University on YouTube, and includes advice from Andrew Ng on how to read research papers.

Machine Learning 123

Machine Learning Deep Learning Building 123

AltexSoft

MAY 12, 2022

Aiming at understanding sound data, it applies a range of technologies, including state-of-the-art deep learning algorithms. It also comes with pretrained machine learning and deep learning models that can be used for speech analysis and sound recognition. Building an app for snore and teeth grinding detection.

Machine Learning 122

Machine Learning Building Deep Learning Healthcare 122

Snowflake

NOVEMBER 11, 2024

At Snowflake BUILD , we are introducing powerful new features designed to accelerate building and deploying generative AI applications on enterprise data, while helping you ensure trust and safety. These scalable models can handle millions of records, enabling you to efficiently build high-performing NLP data pipelines.

Unstructured Data 98

Unstructured Data SQL AWS Healthcare 98

Knowledge Hut

JUNE 16, 2023

We all have witnessed how Deep learning has emerged as one of the most promising domains of artificial intelligence, enabling machines to process, analyze and draw insights from vast amounts of data. And hence, it has become significant to master some of the major deep learning tools to work with this concept better.

Deep Learning 52

Deep Learning BI Machine Learning Data Science 52

KDnuggets

SEPTEMBER 29, 2022

TensorFlow in Action teaches you to construct, train, and deploy deep learning models using TensorFlow 2. In this practical tutorial, you’ll build reusable skills hands-on as you create production-ready applications.

Deep Learning 159

Deep Learning Building 159

Snowflake

NOVEMBER 1, 2023

For Snowpark ML Operations, the Snowpark Model Registry (public preview soon) enables scalable, secure deployment and management of models in Snowflake, and includes expanded support for deploying deep learning models from Tensorflow and Pytorch and open-source LLMs from Hugging Face to Snowpark Container Services (which includes GPU compute pools).

Building 119

Building Python SQL Programming Language 119

Knowledge Hut

JUNE 16, 2023

Artificial intelligence, Deep learning, and Machine learning are the current buzzwords in the industry. Deep learning is a branch of this impeccable machine learning and artificial intelligence. The above image represents the difference between Artificial intelligence, Machine Learning, and Deep Learning.

Deep Learning 52

Deep Learning Engineering Recruitment Data Science 52

Knowledge Hut

OCTOBER 30, 2023

In recent years, the field of deep learning has gained immense popularity and has become a crucial subset of artificial intelligence. Data Science aspirants should learn Deep Learning after taking a Data Science certificate online , which would enhance their skillset and create more opportunities for them.

Deep Learning 52

Deep Learning Project Datasets Machine Learning 52

Data Engineering Podcast

JUNE 1, 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. How does the introduction of a universal SQL layer change the staffing requirements for building and maintaining a data lake?

Data Lake 100

Data Lake Database Building Lambda Architecture 100

Snowflake

OCTOBER 7, 2024

When scaling data science and ML workloads, organizations frequently encounter challenges in building large, robust production ML pipelines. Many teams turn to feature stores to create a centralized repository that maintains a consistent and up-to-date set of ML features.

Management 98

Management Building Datasets Government 98

KDnuggets

OCTOBER 27, 2023

This week on KDnuggets: Go from learning what large language models are to building and deploying LLM apps in 7 steps • Check this list of free books for learning Python, statistics, linear algebra, machine learning and deep learning • And much, much more!

Deep Learning 141

Deep Learning Data Science Machine Learning Python 141

Knowledge Hut

DECEMBER 21, 2023

Deep learning is one of the major domains of pursuing a career in technology and development. With the growth in technology, the importance of machine learning and deep learning technology is also increasing. Learning effective deep learning skills is crucial to pursuing a career in this discipline.

Deep Learning 52

Deep Learning Programming Language Recruitment Java 52

ArcGIS

JUNE 11, 2024

Revolutionizing GIS: Streamlining Change Detection for Mapping Agencies.

Building 122

Building Deep Learning Machine Learning 122

AltexSoft

AUGUST 25, 2021

Keep reading to learn: What problems NLP can help solve. Tools you can use to build NLP models. But today’s programs, armed with machine learning and deep learning algorithms, go beyond picking the right line in reply, and help with many text and speech processing problems. Statistical NLP vs deep learning.

Process 139

Process Deep Learning Datasets Machine Learning 139

Cloudera

DECEMBER 4, 2024

The service is targeted at the production-serving end of the MLOPs/LLMOPs pipeline, as shown in the following diagram: It complements Cloudera AI Workbench (previously known as Cloudera Machine Learning Workspace), a deployment environment that is more focused on the exploration, development, and testing phases of the MLOPs workflow.

Architecture 73

Architecture Machine Learning Deep Learning BI 73

DoorDash Engineering

APRIL 23, 2024

Product attributes allow DoorDash to group products based on commonalities, building a product profile for each customer around their affinities to certain attributes. These are the building blocks for providing highly relevant and personalized shopping recommendations. Better personalization.

Building 91

Building Retail Manufacturing Unstructured Data 91

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. Engineering vs PyTorch Figure 6: Sample Seed Skills Graph KGBert helps build a more accurate and complex taxonomy in less time.

Building 85

Building Recruitment Machine Learning Deep Learning 85

KDnuggets

NOVEMBER 11, 2021

From the mind to the computer, make websites using your imagination!

Building 123

Building Deep Learning Machine Learning 123

KDnuggets

NOVEMBER 21, 2019

This blog shows how text data representations can be used to build a classifier to predict a developer’s deep learning framework of choice based on the code that they wrote, via examples of TensorFlow and PyTorch projects.

Process 110

Process Deep Learning Data Coding 110

Cloudera

NOVEMBER 3, 2021

Thanks to pioneers like Andrew NG and Fei-Fei Li, GPUs have made headlines for performing particularly well with deep learning techniques. Today, deep learning and GPUs are practically synonymous. While deep learning is an excellent use of the processing power of a graphics card, it is not the only use.

Deep Learning 117

Deep Learning Data Science Machine Learning Python 117

KDnuggets

DECEMBER 15, 2021

In this issue: Building a solid data team; Stop Learning Data Science to Find Purpose and Find Purpose to Learn Data Science; AI, Analytics, Machine Learning, Data Science, Deep Learning Main Developments in 2021 and Key Trends for 2022 - Research, Technology, and Industry perspectives.

Data Science 83

Data Science Machine Learning Deep Learning Building 83

LinkedIn Engineering

DECEMBER 20, 2023

At LinkedIn, trust is the cornerstone for building meaningful connections and professional relationships. Our members rely on us to create an environment on our platform where they can safely learn and grow in their careers. Let’s look into the critical modules that are needed to build this type of system.

Building 91

Building Algorithm Kafka Machine Learning 91

KDnuggets

NOVEMBER 16, 2022

10 Cheat Sheets You Need To Ace Data Science Interview • 7 Free Platforms for Building a Strong Data Science Portfolio • The Complete Free PyTorch Course for Deep Learning • 3 Valuable Skills That Have Doubled My Income as a Data Scientist • 25 Advanced SQL Interview Questions for Data Scientists • A Data Science Portfolio That Will Land You The Job (..)

Data Science 108

Data Science Portfolio Deep Learning SQL 108

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. It is very difficult for platform engineers to build good standardized tools that fit diverse ML stacks.

Engineering 105

Engineering Deep Learning Architecture Project 105

Cloudera

JULY 27, 2021

Here in the virtual Fast Forward Lab at Cloudera , we do a lot of experimentation to support our applied machine learning research, and Cloudera Machine Learning product development. We believe the best way to learn what a technology is capable of is to build things with it.

Data Science 117

Data Science Machine Learning Python Deep Learning 117

Snowflake

AUGUST 1, 2024

Data doesn’t need to move across a patchwork of services, opening up security and governance risks; it can stay within Snowflake while you analyze it, transform it and build with it. We look forward to seeing all the cool things you build in the AI Data Cloud with Snowpark Container Services. Second, simplicity.

Deep Learning 126

Deep Learning Government AWS Architecture 126

Knowledge Hut

APRIL 26, 2024

Datasets are often related to a particular type of problem and machine learning models can be built to solve those problems by learning from the data. Datasets help users uncover insights before actually applying the machine learning model to it. can help users to get started with Machine Learning.

Machine Learning 98

Machine Learning Datasets Deep Learning Finance 98

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. Therefore, the majority of machine learning/deep learning frameworks focus on Python APIs.

Machine Learning 107

Machine Learning Python Kafka Java 107

Data Engineering Podcast

FEBRUARY 11, 2019

Kevin Dewalt founded Prolego to help Fortune 500 companies build, launch, and maintain their first machine learning projects so that they can remain competitive in our landscape of constant change. Everyone talks about a talent shortage in machine learning.

Machine Learning 100

Machine Learning Deep Learning Software Engineer Software Engineering 100

Edureka

JUNE 7, 2024

Unlike traditional AI systems that operate on pre-existing data, generative AI models learn the underlying patterns and relationships within their training data and use that knowledge to create novel outputs that did not previously exist. paintings, songs, code) Historical data relevant to the prediction task (e.g.,

Deep Learning 114

Deep Learning Media Algorithm Manufacturing 114

Knowledge Hut

JANUARY 18, 2024

It is an interdisciplinary science with multiple approaches, and advancements in Machine Learning and deep learning are creating a paradigm shift in many sectors of the IT industry across the globe. SQL for data migration 2. Python libraries such as pandas, NumPy, plotly, etc. Python libraries such as pandas, NumPy, plotly, etc.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

Cloudera

MAY 19, 2021

In the previous blog post in this series, we walked through the steps for leveraging Deep Learning in your Cloudera Machine Learning (CML) projects. RAPIDS brings the power of GPU compute to standard Data Science operations, be it exploratory data analysis, feature engineering or model building. Introduction.

Machine Learning 137

Machine Learning Data Science Datasets Raw Data 137

Knowledge Hut

MAY 31, 2023

Artificial intelligence (AI) projects are software-based initiatives that utilize machine learning, deep learning, natural language processing, computer vision, and other AI technologies to develop intelligent programs capable of performing various tasks with minimal human intervention. Let us get started!

Project 96

Project Healthcare Deep Learning Transportation 96