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 82

Deep Learning Coding Python 82

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

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

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

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.

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Building Python SQL Programming Language 117

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

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!

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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

ProjectPro

APRIL 6, 2021

Upskill yourself for your dream job with industry-level big data projects with source code Deep Learning for Medical Image Classification Deep learning for the medical image classification is not only a topic of hot research but is a key technique of computer-aided diagnosis systems today.

Deep Learning 40

Deep Learning Python Medical Algorithm 40

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

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

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 Datasets Data Science 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

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

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 Machine Learning Database Design 98

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 Business Intelligence Machine Learning 97

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 110

Deep Learning Coding IT Python 110

Knowledge Hut

MAY 2, 2024

It means computers learn and there are many concepts, methods, algorithms and processes involved in making this happen. Let us try to understand some of the more important machine learning terms. Three concepts – artificial intelligence, machine learning and deep learning – are often thought to be synonymous.

Machine Learning 98

Machine Learning IT Deep Learning Algorithm 98

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

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 Process Project 40

Knowledge Hut

MAY 2, 2024

Calculus is mainly used in optimizing Machine Learning and Deep Learning Algorithms. Data Scientists mainly use calculus in building many Deep Learning and Machine Learning Models. It plays a crucial role in understanding the background theory behind Machine learning and is also used for Deep Learning.

Machine Learning 98

Machine Learning Algorithm Datasets Python 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

ProjectPro

APRIL 12, 2021

Deep learning job interviews. Most beginners in the industry break out in a cold sweat at the mere thought of a machine learning or a deep learning job interview. How do I prepare for my upcoming deep learning job interview? What kind of deep learning interview questions they are going to ask me?

Deep Learning 40

Deep Learning Datasets Machine Learning Algorithm 40

Knowledge Hut

NOVEMBER 3, 2023

Can ChatGPT write code? It can also be used to create code. Its ability to generate code is a testament to its versatility and potential in the software development realm. To comprehend and produce text that is human-like, it employs deep learning algorithms. Can ChatGPT Write Code? Absolutely!

Coding 52

Coding Utilities IT Programming Language 52

ProjectPro

JULY 9, 2021

All thanks to deep learning - the incredibly intimidating area of data science. This new domain of deep learning methods is inspired by the functioning of neural networks in the human brain. Table of Contents Why Deep Learning Algorithms over Traditional Machine Learning Algorithms?

Deep Learning 40

Deep Learning Algorithm Machine Learning Datasets 40

DataKitchen

APRIL 13, 2021

Pipeline tests are applied to data (instead of code) and at batch time (instead of compiling or deploy time). . DataKitchen — a DataOps Platform that supports the deployment of all data analytics code and configuration. DataKitchen — a DataOps Platform that supports the deployment of all data analytics code and configuration.

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Consulting Machine Learning Data Science Data Pipeline 124