Analytics Vidhya

APRIL 4, 2022

Introduction One of the key challenges in Machine Learning Model is the explainability of the ML Model that we are building. In general, ML Model is a Black Box. As Data scientists, we may understand the algorithm & statistical methods used behind the scene. […].

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ML Data Scientist Machine Learning Data Science 290

Analytics Vidhya

FEBRUARY 21, 2022

AI/ML has become an integral part of research and innovations. The post Building ML Model in AWS Sagemaker appeared first on Analytics Vidhya. Image: [link] Introduction Artificial Intelligence & Machine learning is the most exciting and disruptive area in the current era.

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ML Artificial Intelligence Artificial Intelligence Machine Learning 347

Analytics Vidhya

AUGUST 26, 2021

This article was published as a part of the Data Science Blogathon This article throws light on how the Gradient Descent algorithm’s core formula is derived which will further help in better understanding of the Gradient Descent Algorithm. First, we will understand what is Gradient Descent algorithm is in brief.

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Algorithm Data Science ML Python 343

Analytics Vidhya

JUNE 1, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In this article, I’m gonna explain about DBSCAN algorithm. The post Understand The DBSCAN Clustering Algorithm! appeared first on Analytics Vidhya.

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Algorithm Data Science Explainability ML 306

Analytics Vidhya

NOVEMBER 26, 2020

Introduction: Gone are the days when enterprises set up their own in-house server and spending a gigantic amount of budget on storage infrastructure & The post Deployment of ML models in Cloud – AWS SageMaker?(in-built in-built algorithms) appeared first on Analytics Vidhya.

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Algorithm ML Python Machine Learning 178

Unite.AI

OCTOBER 27, 2024

This allows developers to run pre-trained models from Python TensorFlow directly in JavaScript applications, making it an excellent bridge between traditional ML development and web-based deployment. Key Features: Hardware-accelerated ML operations using WebGL and Node.js

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Neural Network Machine Learning NLP Natural Language Processing 157

Analytics Vidhya

MAY 26, 2022

Explainable AI is no longer just an optional add-on when using ML algorithms for corporate decision making. While there are a lot of techniques that have been developed for supervised algorithms, […]. Introduction The ability to explain decisions is increasingly becoming important across businesses.

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Explainability Explainable AI Algorithm Data Science 388

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.

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ML Generative AI AI AI 86

AWS Machine Learning Blog

DECEMBER 9, 2024

With access to a wide range of generative AI foundation models (FM) and the ability to build and train their own machine learning (ML) models in Amazon SageMaker , users want a seamless and secure way to experiment with and select the models that deliver the most value for their business.

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ML Data Scientist Machine Learning Software Engineer 85

Analytics Vidhya

DECEMBER 3, 2021

Independent Variables Dependent Variables Linear Regression The Equation of a Linear Regression Types of Linear Regression Simple Linear Regression Multiple Linear Regression How is a simple linear equation used in the ML Linear Regression algorithm? Drop the […]. appeared first on Analytics Vidhya.

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Data Science Algorithm ML Python 394

Analytics Vidhya

JULY 18, 2022

Introduction We are keeping forward with the PySpark series, where by far, we covered Data preprocessing techniques and various ML algorithms along with real-world consulting projects. This article was published as a part of the Data Science Blogathon. In this article as well, we will work on another consulting project.

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Data Science Algorithm ML Python 364

Artificial Corner

SEPTEMBER 27, 2024

Image made with Midjourney As we’ve seen in previous articles Python is the language of choice for AI. In this article, I present you the 4 stages to learn Python for AI & Machine Learning. This is why, in this article, we will see the Python stuff you need for AI and Machine Learning and discover what stage you’re in.

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Python ML Machine Learning Data Analysis 98

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. Machine Learning with Python This course covers the fundamentals of machine learning algorithms and when to use each of them.

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Machine Learning Python Neural Network Convolutional Neural Networks 117

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.

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ML Python Machine Learning Algorithm 167

Marktechpost

MAY 20, 2024

The Python Testbed for Federated Learning Algorithms (PTB-FLA) is a low-code framework developed for the EU Horizon 2020 project TaRDIS, aimed at simplifying the creation of decentralized and distributed applications for edge systems. The PC runs Windows 10 Pro, with an Intel Core i7-1165G7 processor, and uses Python 3.12.0

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Algorithm Python Software Development ML 122

Marktechpost

JULY 8, 2024

Python, a programming language favored for its simplicity and extensive libraries, particularly in fields like web development, image processing, and artificial intelligence, presents unique challenges for formal verification. Verifying Python programs is inherently difficult because Python determines type information at runtime.

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Python Software Engineer Artificial Intelligence Artificial Intelligence 119

Marktechpost

DECEMBER 27, 2023

Its key advantage is the ability to train and deploy ML models directly within the database using standard SQL queries. It also allows managing open-source ML models from platforms like HuggingFace, providing a convenient way to track experiment results.

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Machine Learning ML Python Neural Network 124

Towards AI

SEPTEMBER 5, 2024

Featured Community post from the Discord Aman_kumawat_41063 has created a GitHub repository for applying some basic ML algorithms. It offers pure NumPy implementations of fundamental machine learning algorithms for classification, clustering, preprocessing, and regression. Learn AI Together Community section! Meme of the week!

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Algorithm Chatbots ML Machine Learning 85

Towards AI

JANUARY 29, 2025

Programming Languages: Python (most widely used in AI/ML) R, Java, or C++ (optional but useful) 2. These are essential for understanding machine learning algorithms. Programming: Learn Python, as its the most widely used language in AI/ML. Familiarize yourself with libraries like NumPy, Pandas, and Matplotlib.

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AI Engineer Generative AI Neural Network BERT 98

Marktechpost

MARCH 17, 2025

The field has witnessed significant advancements with new tools and algorithms to facilitate these complex representations. Geoopt, a Python package, provides Riemannian optimization for non-Euclidean manifolds, but its functionality is limited. Also,feel free to follow us on Twitter and dont forget to join our 80k+ ML SubReddit.

Python 55

Python Machine Learning Neural Network AI 55

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.

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Python Deep Learning Robotics AI 130

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.

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Software Engineer DevOps Machine Learning ML 176

Analytics Vidhya

JUNE 9, 2022

It was originally written in scala and later on due to increasing demand for machine learning using big data a python API of the same was released. Introduction to Pyspark Spark is an open-source framework for big data processing. So, Pyspark is a […].

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Machine Learning Big Data Python Data Science 328

Marktechpost

SEPTEMBER 25, 2024

Key components in SD algorithms include the search strategy, which explores the problem’s search space, and the quality measure, which evaluates the subgroups identified. Despite the effectiveness of SD and the range of algorithms available, only some Python libraries offer state-of-the-art SD tools.

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Python Algorithm Machine Learning Data Analysis 103

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.

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ML Python Machine Learning Neural Network 123

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.

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Computer Vision Convolutional Neural Networks Neural Network Deep Learning 102

Marktechpost

JULY 28, 2024

Designing computational workflows for AI applications, such as chatbots and coding assistants, is complex due to the need to manage numerous heterogeneous parameters, such as prompts and ML hyper-parameters. The LLM-based optimization algorithm OptoPrime is designed for the OPTO problem.

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Python Robotics Neural Network LLM 142

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. ByteTrack is an algorithm for tracking multiple moving objects in videos, such as people walking through a store. cvtColor(frame, cv2.COLOR_RGB2BGR)

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Python Algorithm Computer Vision Deep Learning 87

Marktechpost

APRIL 4, 2025

Unlike traditional coding benchmarks, which generally focus on isolated, algorithmic-style problems, SWE-bench offers a more realistic testbed that requires agents to navigate existing codebases, identify relevant tests autonomously, create scripts, and iterate against comprehensive regression test suites. Check out the GitHub Page.

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Software Engineer OpenAI Python LLM 89

AWS Machine Learning Blog

NOVEMBER 25, 2024

You can try out the models with SageMaker JumpStart, a machine learning (ML) hub that provides access to algorithms, models, and ML solutions so you can quickly get started with ML. Both models support a context window of 32,000 tokens, which is roughly 50 pages of text.

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LLM NLP Machine Learning ML 98

Marktechpost

JANUARY 31, 2024

Data scientists and ML engineers often need help to build full-stack applications. These professionals typically have a firm grasp of data and AI algorithms. It is a Python-based framework for data scientists and machine learning engineers. This is where Taipy comes into play.

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Data Scientist Machine Learning Python ML Engineer 133

Marktechpost

MARCH 30, 2024

In 2024, the landscape of Python libraries for machine learning and deep learning continues to evolve, integrating more advanced features and offering more efficient and easier ways to build, train, and deploy models. Below are the top ten Python libraries that stand out in AI development.

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Deep Learning Machine Learning Python Computer Vision 120

Marktechpost

MARCH 26, 2024

In order to address these challenges, a team of researchers has introduced DomainLab, a modular Python package for domain generalization in deep learning. This python package seeks to disentangle the elements of domain generalization techniques so that users can more readily mix various algorithmic components.

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Deep Learning Python Neural Network Artificial Intelligence 126

Artificial Corner

AUGUST 19, 2024

I created a new series called “AI & Python” which will be focused on learning Python, coding concepts, automation, and creating AI apps. If you’re new to ML, you probably must’ve heard of the words “algorithm” or “model” without knowing how they’re related to machine learning.

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Machine Learning Algorithm Categorization Python 97

Towards AI

JANUARY 24, 2025

Diabetes Prediction with ML This member-only story is on us. Using machine learning techniques/algorithms, we would try to predict whether a patient has diabetes or not. Author(s): Rohan Rao Originally published on Towards AI. Upgrade to access all of Medium. It sounds more than a miracle to me. Seems simple? Lets get on to this job!

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Machine Learning Data Analysis Python Algorithm 105

Marktechpost

OCTOBER 29, 2024

ZIP-FIT utilizes compression algorithms to align training data with desired target data which eliminates embeddings and makes the whole process computationally light-weight. Zip-Fit was evaluated on two domain focussed tasks namely, Autoformalization and Python Code Generation. Don’t Forget to join our 55k+ ML SubReddit.

Neural Network 101

Neural Network Python Algorithm AI 101

Towards AI

JULY 15, 2024

We shall look at various machine learning algorithms such as decision trees, random forest, K nearest neighbor, and naïve Bayes and how you can install and call their libraries in R studios, including executing the code. In addition, it’s also adapted to many other programming languages, such as Python or SQL.

Machine Learning 119

Machine Learning Algorithm Data Science Python 119