Snowflake

NOVEMBER 11, 2024

GPU-based model development and deployment: Build powerful, advanced ML models with your preferred Python packages on GPUs or CPUs serving them for inference in containers — all within the same platform as your governed data. This no-code interface allows you to quickly experiment with, compare and evaluate models as they become available.

Unstructured Data 97

Unstructured Data SQL AWS Healthcare 97

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. Data scientists love Python, period. You need to think about the whole model lifecycle.

Machine Learning 107

Machine Learning Python Kafka Java 107

U-Next

AUGUST 16, 2022

Introduction: About Deep Learning Python. Initiatives based on Machine Learning (ML) and Artificial Intelligence (AI) are what the future has in store. Python has progressively risen to become the sixth most popular programming language in the 2020s from its founding in February 1991. What Is Deep Learning Python?

Deep Learning 52

Deep Learning Python Programming Language Machine Learning 52

KDnuggets

NOVEMBER 12, 2021

The PyTorch Deep Learning framework has a C++ API for use on mobile platforms. This article shows an end-to-end demo of how to write a simple C++ application with Deep Learning capabilities using the PyTorch C++ API such that the same code can be built for use on mobile platforms (both Android and iOS).

Deep Learning 83

Deep Learning Coding Python 83

ProjectPro

FEBRUARY 16, 2023

Whether you’re looking to track objects in a video stream, build a face recognition system, or edit images creatively, OpenCV Python implementation is the go-to choice for the job. At the core of such applications lies the science of machine learning, image processing, computer vision, and deep learning.

Python 98

Python Process Deep Learning Algorithm 98

Data Engineering Weekly

MAY 4, 2025

[link] Pinterest: Multi-gate-Mixture-of-Experts (MMoE) model architecture and knowledge distillation in Ads Engagement modeling development Pinterest writes about adopting Multi-gate Mixture-of-Experts (MMoE) architecture for its ad engagement models to improve performance beyond traditional deep learning models like DCNv2.

Data Engineering 67

Data Engineering Data Engineer Engineering Java 67

Cloudera

OCTOBER 17, 2017

Deep learning is in the news. But deep learning is a tool that enterprises use to solve practical problems. In this blog, we provide a few examples that show how organizations put deep learning to work. In this blog, we provide a few examples that show how organizations put deep learning to work.

Deep Learning 47

Deep Learning Scala Medical Data Science 47

Knowledge Hut

JUNE 26, 2023

Top Data Engineering Projects with Source Code Data engineers make unprocessed data accessible and functional for other data professionals. Source Code: Stock and Twitter Data Extraction Using Python, Kafka, and Spark 2. Source: Use Python to Scrape Real Estate Listings and Make a Dashboard 3.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Cloudera

NOVEMBER 3, 2021

Have you ever asked a data scientist if they wanted their code to run faster? 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. Time required to refactor CPU code.

Deep Learning 117

Deep Learning Data Science Machine Learning Python 117

ProjectPro

NOVEMBER 30, 2021

Deep learning was developed in the early 1940s to mimic the neural networks of the human brain. However, in the last few decades, deep learning has unleashed itself into the world. 85% of data science platform vendors have the first version of deep learning in products. What does a Deep Learning Engineer do?

Deep Learning 52

Deep Learning Engineering Machine Learning Programming Language 52

Snowflake

NOVEMBER 1, 2023

Snowflake has invested heavily in extending the Data Cloud to AI/ML workloads, starting in 2021 with the introduction of Snowpark , the set of libraries and runtimes in Snowflake that securely deploy and process Python and other popular programming languages.

Building 119

Building Python SQL Programming Language 119

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

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

DECEMBER 26, 2023

Learn a Programming Language (R or Python) If you're starting in data analysis, one of the most critical skills is knowledge of a statistical computing language. Python or R are used for scrubbing, editing, analyzing, and displaying data. Python is a great overall software program noted for its natural-language-like syntax.

Data Science 98

Data Science Programming Language Deep Learning Machine Learning 98

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

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

ProjectPro

FEBRUARY 24, 2022

Working with audio data has been a relatively less widespread and explored problem in machine learning. In most cases, benchmarks for the latest seminal work in deep learning are measured on text and image data performances. Amidst this, speech and audio, an equally important type of data, often gets overlooked.

Deep Learning 52

Deep Learning Project Datasets Machine Learning 52

Christophe Blefari

JANUARY 20, 2024

In order to do it you have to ask Bard to write and execute code in background but to activate the code execution feature "you're at the mercy of the classifier" This is our future, being at the mercy of classifiers. bq-lineage-tool — Java code that uses ZetaSQL to build a column-level lineage parser for BigQuery.

Data 130

Data Python Google Cloud Algorithm 130

Christophe Blefari

JUNE 16, 2023

I'm now under the Berlin rain with 20° When I write in these conditions I feel like a tortured author writing a depressing novel while actually today I'll speak about the AI Act, Python, SQL and data platforms. The past often changes, whether because of code or data. Casual day at the office finally.

Programming Language 130

Programming Language SQL PostgreSQL Data 130

AltexSoft

AUGUST 25, 2021

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. That’s why a lot of research in NLP is currently concerned with a more advanced ML approach — deep learning. Word embeddings.

Process 139

Process Deep Learning Datasets Machine Learning 139

Knowledge Hut

JUNE 10, 2024

Raw Python can be cumbersome and time-consuming to work with, underscoring the necessity for Python frameworks. Python frameworks streamline workflows by offering reusable pre-written code. They facilitate code structuring for improved readability and maintenance. Here are 15 of the finest Python frameworks.

Data Science 52

Data Science Python Deep Learning Machine Learning 52

Knowledge Hut

DECEMBER 22, 2023

Data analytics, data mining, artificial intelligence, machine learning, deep learning, and other related matters are all included under the collective term "data science" When it comes to data science, it is one of the industries with the fastest growth in terms of income potential and career opportunities.

Hadoop 98

Hadoop Deep Learning Data Science Machine Learning 98

ProjectPro

JULY 23, 2021

Machine Learning and Deep Learning have experienced unusual tours from bust to boom from the last decade. But when it comes to large data sets, determining insights from them through deep learning algorithms and mining them becomes tricky. Image Source: [link] Nowadays, Deep Learning is almost everywhere.

Deep Learning 40

Deep Learning Machine Learning Algorithm Datasets 40

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. In this example, we will use a Jupyter Notebook session to run our code. Install the requirements from a terminal session with: “`code. Get the Dataset.

Machine Learning 137

Machine Learning Data Science Datasets Raw Data 137

AltexSoft

OCTOBER 26, 2023

Recent advancements in artificial intelligence (AI) have introduced smart tools revolutionizing coding. This article will define AI coding, explore its main benefits and features, and evaluate five notable AI coding tools. What is AI coding? Generative AI is, in turn, a subset of deep learning.

Coding 52

Coding Programming Language Deep Learning Java 52

Zalando Engineering

NOVEMBER 7, 2018

A real-life example of how to train a Deep Learning model on an AWS Spot Instance using Spotty Spotty is a tool that simplifies training of Deep Learning models on AWS. This implementation of Tacotron uses Python 3 and TensorFlow, so we could use the official Tensorflow image: tensorflow/tensorflow-gpu-p3.

Deep Learning 40

Deep Learning AWS Python Project 40

KDnuggets

NOVEMBER 29, 2019

PyTorch Lightning is a lightweight framework which allows anyone using PyTorch to scale deep learning code easily while making it reproducible. In this tutorial we’ll use Huggingface's implementation of BERT to do a finetuning task in Lightning.

Deep Learning 118

Deep Learning Coding IT Python 118

ProjectPro

JULY 7, 2021

As a beginner in the data industry, it can be overwhelming to step into AI and deep learning. After taking a deep learning course or two, you might find yourself getting stuck on how to proceed. Is it difficult to build deep learning models? Why build deep learning projects?

Deep Learning 40

Deep Learning Project Portfolio Recruitment 40

Christophe Blefari

JUNE 21, 2024

you could write the same pipeline in Java, in Scala, in Python, in SQL, etc.—with Store and run whatever you want on Snowflake — They bring a serverless / container philosophy to Snowflake as you will be able to store your AI models , run pandas code or any container. —with Databricks you buy an engine. 3) Spark 4.0

Metadata 147

Metadata Data Warehouse BI MySQL 147

Knowledge Hut

DECEMBER 26, 2023

You can execute this by learning data science with python and working on real projects. Computer Science Data science and coding go hand in hand. However, the level of coding required differs for different roles. Certain roles like Data Scientists require a good knowledge of coding compared to other roles.

Data Science 97

Data Science BI Machine Learning Business Intelligence 97

ProjectPro

FEBRUARY 28, 2022

One can easily build a facial emotion recognition project in Python. With modern deep learning techniques, we have advanced to detect difficult things like smiles, eyes, and emotions. This article will discuss the source code of a Facial Expression Recognition Project in Python. Can we really do that?

Coding 52

Coding Project Deep Learning Datasets 52

Edureka

APRIL 16, 2025

We will discuss VAEs in this blog, their differences from autoencoders and GANs, and walk through how to create one in TensorFlow using actual code examples. Generative artificial intelligence is a class of artificial intelligence models capable of creating fresh content—text, images, audio, even code. What is Generative AI?

Medical 40

Medical Certification Deep Learning Datasets 40

ProjectPro

JANUARY 27, 2023

These libraries help data scientists and machine learning engineers save significant time and resources when performing complex image/video processing and analysis tasks with minimal coding. Python is one of the most preferred programming languages for building computer vision applications.

Python 52

Python Deep Learning Programming Language Algorithm 52

ProjectPro

AUGUST 2, 2021

Upskill yourself for your dream job with industry-level big data projects with source code 2) Image Smoothing Image smoothing ameliorates the effect of high-frequency spatial noise from an image. Image Processing Projects using OpenCV Python For this approach, you could use the pre-trained classifier files for the Haar classifier.

Coding 40

Coding Python Project Process 40

Edureka

FEBRUARY 13, 2025

Prerequisites Before you begin with few-shot learning, make sure you have the following: Access to a High-Powered GPU: Use a strong NVIDIA GPU, like the H100 or A100-80G, to run deep learning models effectively. Learn more about GPU requirements for deep learning from NVIDIA.

Deep Learning 52

Deep Learning Datasets Data Machine Learning 52

Knowledge Hut

DECEMBER 26, 2023

This job requires a handful of skills, starting from a strong foundation of SQL and programming languages like Python , Java , etc. Knowledge of Python and data visualization tools are common skills for both. What is the difference between Supervised and Unsupervised Learning? What are Classification and Regression problems?

Data Engineering 98

Data Engineering Data Engineer Engineering Hadoop 98

ProjectPro

JULY 21, 2021

Good knowledge of commonly used machine learning and deep learning algorithms. Method: In this project, you will learn how to use the NLTK library in Python for text classification and text preprocessing. Strong understanding of statistical techniques used to quantify the results of NLP algorithms.

Coding 52

Coding Project Deep Learning Algorithm 52