Flipboard

FEBRUARY 10, 2025

Whether youre new to Gradio or looking to expand your machine learning (ML) toolkit, this guide will equip you to create versatile and impactful applications. Using the Ollama API (this tutorial) To learn how to build a multimodal chatbot with Gradio, Llama 3.2, curl ) and using the Python client ( ollama package).

Chatbots 148

Chatbots Computer Vision Deep Learning Large Language Models 148

AWS Machine Learning Blog

NOVEMBER 19, 2024

This year, generative AI and machine learning (ML) will again be in focus, with exciting keynote announcements and a variety of sessions showcasing insights from AWS experts, customer stories, and hands-on experiences with AWS services. Visit the session catalog to learn about all our generative AI and ML sessions.

ML 85

ML Generative AI AI AI 85

Towards AI

JANUARY 29, 2025

Generative AI is powered by advanced machine learning techniques, particularly deep learning and neural networks, such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). Programming Languages: Python (most widely used in AI/ML) R, Java, or C++ (optional but useful) 2.

AI Engineer 98

AI Engineer Generative AI Neural Network BERT 98

Marktechpost

NOVEMBER 16, 2024

Introduction to Computer Vision and Image Processing This course introduces beginners to the exciting field of Computer Vision, covering image processing, classification, and object detection using Python, OpenCV, and Pillow. Introduction to Computer Vision This course provides an advanced introduction to computer vision and image processing.

Computer Vision 102

Computer Vision Convolutional Neural Networks Neural Network Deep Learning 102

Flipboard

JUNE 14, 2023

Learn about some of the best Python libraries for programming Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL). A lot of …

Machine Learning 152

Machine Learning Python Deep Learning Artificial Intelligence 152

Analytics Vidhya

FEBRUARY 21, 2022

Image designed by the author – Shanthababu Introduction Every ML Engineer and Data Scientist must understand the significance of “Hyperparameter Tuning (HPs-T)” while selecting your right machine/deep learning model and improving the performance of the model(s). Make it simple, for every […].

ML Engineer 337

ML Engineer Data Scientist Deep Learning Data Science 337

Marktechpost

MARCH 10, 2025

This principle applies across various model classes, showing that deep learning isn’t fundamentally different from other approaches. However, deep learning remains distinctive in specific aspects. Another definition for benign overfitting is described as “one of the key mysteries uncovered by deep learning.”

Deep Learning 46

Deep Learning Convolutional Neural Networks Neural Network Explainability 46

Marktechpost

JULY 12, 2023

Advances in Deep Learning Methodologies are greatly impacting the Artificial Intelligence community. Deep Learning techniques are being widely used in almost every industry, be it healthcare, social media, engineering, finance, or education.

Deep Learning 98

Deep Learning Python Large Language Models Natural Language Processing 98

Marktechpost

MARCH 8, 2025

Deep learning models, having revolutionized areas of computer vision and natural language processing, become less efficient as they increase in complexity and are bound more by memory bandwidth than pure processing power. A primary issue in deep learning computation is optimizing data movement within GPU architectures.

Deep Learning 49

Deep Learning Natural Language Processing Algorithm Computer Vision 49

Unite.AI

OCTOBER 27, 2024

The framework enables developers to build, train, and deploy machine learning models entirely in JavaScript, supporting everything from basic neural networks to complex deep learning architectures. Key Features: Hardware-accelerated ML operations using WebGL and Node.js What distinguishes TensorFlow.js

Neural Network 157

Neural Network Machine Learning NLP Natural Language Processing 157

Analytics Vidhya

MARCH 13, 2023

Introduction Deep Learning has revolutionized the field of AI by enabling machines to learn and improve from large amounts of data. This article will […] The post Mediapipe Tasks API and its Implementation in Projects appeared first on Analytics Vidhya.

Deep Learning 290

Deep Learning ML AI AI 290

Marktechpost

MAY 5, 2024

In recent years, the demand for AI and Machine Learning has surged, making ML expertise increasingly vital for job seekers. Additionally, Python has emerged as the primary language for various ML tasks. Participants also gain hands-on experience with open-source frameworks and libraries like TensorFlow and Scikit-learn.

Machine Learning 117

Machine Learning Python Neural Network Convolutional Neural Networks 117

Flipboard

FEBRUARY 10, 2025

In this post, we dive into how organizations can use Amazon SageMaker AI , a fully managed service that allows you to build, train, and deploy ML models at scale, and can build AI agents using CrewAI, a popular agentic framework and open source models like DeepSeek-R1. Having access to a JupyterLab IDE with Python 3.9, 3.10, or 3.11

LLM 160

LLM AI AI Python 160

Marktechpost

DECEMBER 16, 2023

The intersection of neuroscience and artificial intelligence has seen remarkable progress, notably through the development of an open-source Python library known as “snnTorch.” Over the past four years, the team’s Python library, “snnTorch,” has gained significant traction, boasting over 100,000 downloads.

Neural Network 109

Neural Network Deep Learning Python Artificial Intelligence 109

Analytics Vidhya

AUGUST 17, 2022

Introduction In this article, we shall make an ML model in Python that will be able to add colors to old, washed-away, and faded images. In summary, we have to achieve the target of colorizing images using ML. This article was published as a part of the Data Science Blogathon. What we are going to […].

Python 289

Python Data Science ML Deep Learning 289

PyImageSearch

JANUARY 13, 2025

Using Python # Load a model model = YOLO("yolo11n.pt") # Predict with the model results = model("[link] First, we load the YOLO11 object detection model. We must note 2 key points: The Python approach gives us more flexibility to integrate the model into larger projects and customize the outputs programmatically. Here, yolo11n.pt

Computer Vision 101

Computer Vision Python Deep Learning Neural Network 101

Flipboard

NOVEMBER 30, 2023

Amazon SageMaker is a fully managed service that enables developers and data scientists to quickly and effortlessly build, train, and deploy machine learning (ML) models at any scale. Deploy traditional models to SageMaker endpoints In the following examples, we showcase how to use ModelBuilder to deploy traditional ML models.

ML 166

ML Python Machine Learning Algorithm 166

Unite.AI

JUNE 19, 2024

In world of Artificial Intelligence (AI) and Machine Learning (ML), a new professionals has emerged, bridging the gap between cutting-edge algorithms and real-world deployment. As businesses across industries increasingly embrace AI and ML to gain a competitive edge, the demand for MLOps Engineers has skyrocketed.

Software Engineer 176

Software Engineer DevOps Machine Learning ML 176

AWS Machine Learning Blog

MAY 9, 2023

Amazon SageMaker provides a number of options for users who are looking for a solution to host their machine learning (ML) models. For that use case, SageMaker provides SageMaker single model endpoints (SMEs), which allow you to deploy a single ML model against a logical endpoint.

Python 95

Python ML Auto-complete Deep Learning 95

Unite.AI

AUGUST 27, 2024

C++, Python, Java, and Rust each have distinct strengths and characteristics that can significantly influence the outcome. Python Guido van Rossum developed Python in the late 1980s, emphasizing simplicity and readability. Python's framework is built to simplify AI development, making it accessible to both beginners and experts.

Python 130

Python Deep Learning Robotics AI 130

Marktechpost

NOVEMBER 16, 2023

Thanks to developments in deep learning approaches, the capability of image analysis algorithms has been greatly enhanced. The researchers have made their model available as a pre-trained Python package so anyone can use it. Their dataset is also easily accessible, requiring no special permissions or requests to download it.

Deep Learning 140

Deep Learning Data Scientist Algorithm Python 140

Towards AI

JANUARY 31, 2025

Explaining a black box Deep learning model is an essential but difficult task for engineers in an AI project. Lets explore how to use the OmniXAI package in Python to examine and understand how an AI model makes decisions. Author(s): Chien Vu Originally published on Towards AI. This member-only story is on us.

Deep Learning 95

Deep Learning Computer Vision Explainability NLP 95

Flipboard

NOVEMBER 24, 2023

With that, the need for data scientists and machine learning (ML) engineers has grown significantly. Data scientists and ML engineers require capable tooling and sufficient compute for their work. Data scientists and ML engineers require capable tooling and sufficient compute for their work.

ML 152

ML DevOps Data Scientist ML Engineer 152

AWS Machine Learning Blog

SEPTEMBER 20, 2023

In these scenarios, as you start to embrace generative AI, large language models (LLMs) and machine learning (ML) technologies as a core part of your business, you may be looking for options to take advantage of AWS AI and ML capabilities outside of AWS in a multicloud environment.

ML 117

ML Python Deep Learning Machine Learning 117

Marktechpost

JULY 26, 2024

Deep learning has demonstrated remarkable success across various scientific fields, showing its potential in numerous applications. This library supports a Python interface, making it accessible to researchers familiar with popular frameworks like PyTorch and Keras. If you like our work, you will love our newsletter.

Neural Network 114

Neural Network Deep Learning Python ML 114

The MLOps Blog

MAY 10, 2023

When working on real-world machine learning (ML) use cases, finding the best algorithm/model is not the end of your responsibilities. Reusability & reproducibility: Building ML models is time-consuming by nature. Save vs package vs store ML models Although all these terms look similar, they are not the same.

Python 105

Python Metadata ML Machine Learning 105

AWS Machine Learning Blog

MARCH 8, 2023

Amazon SageMaker is a fully managed machine learning (ML) service. With SageMaker, data scientists and developers can quickly and easily build and train ML models, and then directly deploy them into a production-ready hosted environment. Create a custom container image for ML model training and push it to Amazon ECR.

ML 123

ML Python Machine Learning Neural Network 123

Flipboard

MARCH 24, 2025

Heres a quick recap of what you learned: Introduction to FastAPI: We explored what makes FastAPI a modern and efficient Python web framework, emphasizing its async capabilities, automatic API documentation, and seamless integration with Pydantic for data validation. transformers==4.30.2 datasets==2.13.1 Pillow==9.5.0 image as the base.

OpenAI 101

OpenAI Computer Vision Deep Learning Python 101

Marktechpost

DECEMBER 17, 2023

Deep learning has the potential to enhance molecular docking by improving scoring functions. Deep learning in molecular docking often relies on rigid protein docking datasets, neglecting protein flexibility. Deep learning can enhance accuracy but relies on effective pose sampling.

Deep Learning 96

Deep Learning Python AI Researcher AI Research 96

Marktechpost

DECEMBER 27, 2023

Its key advantage is the ability to train and deploy ML models directly within the database using standard SQL queries. PostgresML has several noteworthy features that make it stand out in machine learning. With PostgresML, the future of machine learning looks more accessible and streamlined.

Machine Learning 124

Machine Learning ML Python Neural Network 124

Marktechpost

NOVEMBER 25, 2023

Addressing this, Jason Eshraghian from UC Santa Cruz developed snnTorch, an open-source Python library implementing spiking neural networks, drawing inspiration from the brain’s remarkable efficiency in processing data. In artificial intelligence, efficiency, and environmental impact have become paramount concerns.

Neural Network 125

Neural Network Python Deep Learning Artificial Intelligence 125

AWS Machine Learning Blog

DECEMBER 24, 2024

Trainium chips are purpose-built for deep learning training of 100 billion and larger parameter models. Model training on Trainium is supported by the AWS Neuron SDK, which provides compiler, runtime, and profiling tools that unlock high-performance and cost-effective deep learning acceleration.

Deep Learning 95

Deep Learning Generative AI Python Machine Learning 95

Unite.AI

JULY 11, 2023

Introduction To Generative AI Image Source Course difficulty: Beginner-level Completion time: ~ 45 minutes Prerequisites: No What will AI enthusiasts learn? What is Generative Artificial Intelligence, how it works, what its applications are, and how it differs from standard machine learning (ML) techniques.

Generative AI 189

Generative AI BERT Natural Language Processing Large Language Models 189

AWS Machine Learning Blog

NOVEMBER 29, 2023

In today’s rapidly evolving landscape of artificial intelligence, deep learning models have found themselves at the forefront of innovation, with applications spanning computer vision (CV), natural language processing (NLP), and recommendation systems. If not, refer to Using the SageMaker Python SDK before continuing.

Deep Learning 99

Deep Learning Conversational AI Natural Language Processing BERT 99

AWS Machine Learning Blog

OCTOBER 24, 2024

Amazon Rekognition people pathing is a machine learning (ML)–based capability of Amazon Rekognition Video that users can use to understand where, when, and how each person is moving in a video. Example code The following code example is a Python script that can be used as an AWS Lambda function or as part of your processing pipeline.

Python 86

Python Algorithm Computer Vision Deep Learning 86

Marktechpost

NOVEMBER 18, 2024

ML and DL now offer promising solutions, enhancing drug discovery through data-driven insights, feature extraction, and predictive capabilities to identify effective drug candidates more efficiently. In conclusion, VirtuDockDL is a new Python-based web platform designed to streamline drug discovery using deep learning.

Deep Learning 79

Deep Learning Neural Network Python Automation 79

Flipboard

AUGUST 17, 2023

Many practitioners are extending these Redshift datasets at scale for machine learning (ML) using Amazon SageMaker , a fully managed ML service, with requirements to develop features offline in a code way or low-code/no-code way, store featured data from Amazon Redshift, and make this happen at scale in a production environment.

ML 123

ML Auto-complete Auto-classification Machine Learning 123