KDnuggets

MAY 5, 2023

Learn how to compute vector and matrix norms using NumPy’s linalg module. Looking to further your Python linear algebra skills?

Python 271

Python Data Science 271

KDnuggets

AUGUST 10, 2023

Learn to work with SQLite databases using Python’s built-in sqlite3 module. Also learn how to create indexes to speed up queries.

SQL 204

SQL Python Database 204

Machine Learning Research at Apple

MARCH 31, 2024

Hence, increasing the learning capacity of such streaming models (i.e., In this work, we propose a new loss, Streaming Anchor Loss (SAL), to better utilize the given learning capacity by encouraging the model to learn more from essential frames.

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Analytics Vidhya

JULY 28, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon This article describes an approach to using machine learning modules on. The post How to use Machine Learning on Microcontroller Devices appeared first on Analytics Vidhya.

Machine Learning 289

Machine Learning Machine Learning Data Science Analytics 289

Data Science Dojo

FEBRUARY 10, 2023

We will discuss the various computer vision techniques that can be implemented, including thresholding, edge detection, blob detection, optical flow, and machine learning. They are also a fun and engaging way to learn about computer vision, robotics, and artificial intelligence. This is where the fun begins!

Machine Learning 370

Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 370

Hacker News

MARCH 24, 2024

Text-based games (TBGs) have emerged as an important collection of NLP tasks, requiring reinforcement learning (RL) agents to combine natural language understanding with reasoning. To tackle these issues, in this paper, we present EXPLORER which is an exploration-guided reasoning agent for textual reinforcement learning.

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Analytics Vidhya

AUGUST 26, 2021

This article was published as a part of the Data Science Blogathon The intersection of medicine and data science has always been relevant; perhaps the most obvious example is the implementation of neural networks in deep learning. As data science and machine learning advance, so will medicine, but the opposite is also true.

Python 279

Python Deep Learning Deep Learning Data Science 279

Data Science Dojo

MARCH 8, 2023

With its powerful data manipulation and analysis capabilities, Python has emerged as the language of choice for data scientists, machine learning engineers, and analysts.     By learning Python, you can effectively clean and manipulate data, create visualizations, and build machine-learning models.

Data Science 497

Data Science Python Machine Learning Machine Learning 497

Data Science Dojo

JUNE 9, 2023

These programs typically cover topics such as data wrangling, statistical inference, machine learning, and Python programming. Practical experience : Bootcamps typically include a capstone project, which gives students the opportunity to apply the skills they have learned.

Data Science 370

Data Science Machine Learning Machine Learning Data Scientist 370

Data Science Dojo

NOVEMBER 10, 2023

This is done by training machine learning models on large datasets of existing content, which the model then uses to generate new and original content. Want to build a custom large language model ? TensorFlow: TensorFlow is a popular open-source machine learning library that can be used for a variety of tasks, including generative AI.

Python 524

Python AI AI Machine Learning 524

Towards AI

JANUARY 31, 2024

These bounding boxes are then sent to the text recognizer module of EasyOCR to read out the text in each image. Together, the CRAFT module and the text recognizer make up the pipeline of EasyOCR. The text detection module detects bounding boxes in the image, which is a vital part of a good OCR engine.

AI 97

AI AI Data Science Machine Learning 97

AWS Machine Learning Blog

FEBRUARY 26, 2024

A modular architecture, where each module can intake model inference data and produce its own metrics, is necessary. We suggest that each module take incoming inference requests to the LLM, passing prompt and completion (response) pairs to metric compute modules. The function invokes the modules.

AWS 112

AWS Machine Learning Machine Learning Natural Language Processing 112

Analytics Vidhya

APRIL 27, 2021

Data description Importing modules Study. The post Wine Quality Prediction Using Machine Learning appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon. Overview Basics understanding of Wine.

Machine Learning 207

Machine Learning Machine Learning Data Science Analytics 207

Hacker News

DECEMBER 24, 2023

Frequency modulation synthesis has origins in early analog synthesizers, but solidified with John Chowning's digital synth research and the Yamaha DX Series. Learn how FM works, and where it came from. What is FM Synthesis?

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AssemblyAI

APRIL 23, 2024

If this is the first time you're creating a Google Drive module, you'll need to create a new connection and select it. Next, add a Google Drive Download a File module connected to the trigger, and configure the File ID with the File ID from the trigger. Add an AssemblyAI Transcribe an Audio File module.

AWS 64

AWS AI AI 64

Hacker News

FEBRUARY 20, 2024

I originally learned it to help with vacation scheduling but soon discovered its planner module, which is one of the most fascinating programming models I’ve ever seen. Picat is a research language intended to combine logic programming, imperative programming, and constraint solving.

Algorithm 123

Algorithm 123

Hacker News

JULY 27, 2023

In this article, we will learn how to work with a specific Python class from the multiprocessing module, the process class. I will give you a quick overview

Python 123

Python 123

Data Science Blog

MARCH 26, 2023

This is the sixth article of the series My elaborate study notes on reinforcement learning. In this article series “the book by Barto and Sutton” means “Reinforcement Learning: An Introduction second edition” This book is said to be almost mandatory for those who seriously learn Reinforcement Learning (RL).

Algorithm 147

Algorithm Machine Learning Machine Learning Deep Learning 147

Hacker News

AUGUST 17, 2023

The Abbrev module in the Ruby standard library helps you find out all the possible and unique abbreviations for one or more strings. In this post, we'll learn how it works along with a practical example. We'll also take a peek behind the scenes to see how it's implemented.

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123

Analytics Vidhya

SEPTEMBER 15, 2019

The skimage module in Python is an ideal starting point Learn 8 simple yet powerful tricks for. Overview New to working with image data? The post 9 Powerful Tips and Tricks for Working with Image Data using skimage in Python appeared first on Analytics Vidhya.

Python 229

Python Analytics Analytics Deep Learning 229

Data Science Dojo

MAY 1, 2023

10 Python packages for data science and machine learning In this article, we will highlight some of the top Python packages for data science that aspiring and practicing data scientists should consider adding to their toolbox. Scikit-learn Scikit-learn is a powerful library for machine learning in Python.

Python 329

Python Machine Learning Machine Learning Data Science 329

Dataconomy

FEBRUARY 23, 2024

As the field of education continues to thrive, there is a growing need for robust learning management systems (LMS) that can empower both organizations and individuals to offer an array of courses. This allows them to design captivating courses using multimedia formats such as videos, podcasts, quizzes, interactive modules, and more.

Data Analysis 103

Data Analysis Data Analysis Analytics Analytics 103

AssemblyAI

APRIL 23, 2024

Each module in the AssemblyAI app has intuitive input parameters and detailed output parameters, so Make users can quickly integrate AssemblyAI into their processes. Want to learn how to build with AssemblyAI and Make? For example, in the image below, you can see how to configure a list of PII redaction policies.

AI 59

AI AI 59

Hacker News

DECEMBER 4, 2023

Foundation models, now powering most of the exciting applications in deep learning, are almost universally based on the Transformer architecture and its core attention module.

Deep Learning 182

Deep Learning Deep Learning Algorithm 182

Hacker News

SEPTEMBER 23, 2023

Despite the tremendous success, existing machine learning models still fall short of human-like systematic generalization -- learning compositional rules from limited data and applying them to unseen combinations in various domains. We propose Neural-Symbolic Recursive Machine (NSR) to tackle this deficiency.

Machine Learning 129

Machine Learning Machine Learning Algorithm 129

Hacker News

JUNE 7, 2023

Recently, deep learning-based models, especially Transformer-based large language models (LLMs), have demonstrated remarkable potential in tackling these tasks by leveraging massive open-source code data and programming language features.

Machine Learning 131

Machine Learning Machine Learning Deep Learning Deep Learning 131

Towards AI

SEPTEMBER 4, 2023

The goal is to keep you up to date with machine learning projects, research papers, and concepts. The experience and principles of DSPy shows some ressemble with PyTorch in the deep learning space. Within DSPy’s framework, there exist composable and declarative modules designed to guide LLMs, following a familiar Pythonic structure.

Deep Learning 97

Deep Learning Deep Learning Python Machine Learning 97

Data Science Dojo

FEBRUARY 14, 2024

These features can be used to improve the performance of Machine Learning Algorithms. In the world of data science and machine learning, feature transformation plays a crucial role in achieving accurate and reliable results. Normalization A feature scaling technique is often applied as part of data preparation for machine learning.

K-nearest Neighbors 243

K-nearest Neighbors Support Vector Machines Machine Learning Machine Learning 243

Pickl AI

FEBRUARY 22, 2024

offer modules in Statistical modelling, biostatistics, and comprehensive Data Science bootcamps, ensuring practical skills and job placement. From Udacity to Stanford University, access free courses on Statistics fundamentals, applied Statistics, and Statistical learning, providing valuable insights for learners at all levels.

Hypothesis Testing 52

Hypothesis Testing Data Analysis Data Analysis Data Science 52

Data Science Dojo

MAY 1, 2023

10 Python packages for data science and machine learning In this article, we will highlight some of the top Python packages for data science that aspiring and practicing data scientists should consider adding to their toolbox. Scikit-learn Scikit-learn is a powerful library for machine learning in Python.

Python 195

Python Machine Learning Machine Learning Data Science 195

phData

APRIL 19, 2024

Introduction This article describes a solution for replicating Workday data to Snowflake using Fivetran, as well as some lessons learned from our past experiences here at phData. Sensitive Data The Workday system modules are highly likely to contain sensitive data, for example employee PII or compensation.

Data Modeling 52

Data Modeling Data Models 52

Dataconomy

JUNE 29, 2023

Python machine learning packages have emerged as the go-to choice for implementing and working with machine learning algorithms. These libraries, with their rich functionalities and comprehensive toolsets, have become the backbone of data science and machine learning practices.

Machine Learning 113

Machine Learning Machine Learning Deep Learning Deep Learning 113

AssemblyAI

JANUARY 19, 2024

In this post, you'll learn how to get started with integrating AssemblyAI into your Go applications. For more examples, and to learn more about the AssemblyAI SDK for Go, check out the GitHub repository. Getting started You can install the SDK directly from GitHub, using go get.

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PyImageSearch

MARCH 20, 2023

We discussed how it could be used to learn an embedding space where “similar faces” (i.e., In this tutorial, we will take this further and learn how to train our face recognition model using Keras and TensorFlow. Furthermore, in the previous tutorial, we developed modules to build our Siamese Model and triplet loss function.

Deep Learning 117

Deep Learning Deep Learning Data Pipeline Python 117

Towards AI

AUGUST 29, 2023

C++ enterprise application for Windows executes a Python module. However, I encountered an opposite scenario where my Machine Learning application urgently required invoking a custom model with Python-based inference code. Write Python test code that calls all required Python methods it needs for further modules copying and tests.

Python 84

Python Machine Learning Machine Learning AI 84

Towards AI

MAY 3, 2024

In recent years, with the advent of advanced machine learning techniques, Python libraries like PMDARIMA have gained popularity for their effectiveness in time series analysis and forecasting. The ability to forecast future price movements helps in making informed investment decisions and mitigating risks.

Python 85

Python Machine Learning Machine Learning AI 85

Smart Data Collective

OCTOBER 3, 2021

Learn why Drupal is the best option for developing a website with AI capabilities. It is a mature content management system with numerous modules that can be used by developers to enhance the website with advanced features. It provides many modules that can be used for building an attractive business website.

AI 108

AI AI Machine Learning Machine Learning 108