Data Science Dojo

OCTOBER 31, 2024

Research Data Scientist Description : Research Data Scientists are responsible for creating and testing experimental models and algorithms. Applied Machine Learning Scientist Description : Applied ML Scientists focus on translating algorithms into scalable, real-world applications.

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KDnuggets

JULY 11, 2025

Essential Prerequisites Building generative AI applications requires comfort with Python programming and basic machine learning concepts, but you dont need deep expertise in neural network architecture or advanced mathematics.

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AI AI Machine Learning Machine Learning 319

Analytics Vidhya

NOVEMBER 20, 2024

It is crucial to probability theory and a foundational element for more intricate statistical models, ranging from machine learning algorithms to customer behaviour prediction. A key idea in data science and statistics is the Bernoulli distribution, named for the Swiss mathematician Jacob Bernoulli. appeared first on Analytics Vidhya.

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Data Science Machine Learning Machine Learning Algorithm 198

How to Learn Machine Learning

JULY 6, 2025

For many fulfilling roles in data science and analytics, understanding the core machine learning algorithms can be a bit daunting with no examples to rely on. This blog will look at the most popular machine learning algorithms and present real-world use cases to illustrate their application. What Are Machine Learning Algorithms?

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Machine Learning Machine Learning Algorithm Clustering 52

Analytics Vidhya

APRIL 22, 2025

Data preprocessing using Cleanlab provides an efficient solution, leveraging its Python package to implement confident learning algorithms. Data preprocessing remains crucial for machine learning success, yet real-world datasets often contain errors.

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Machine Learning Machine Learning Python Algorithm 162

AWS Machine Learning Blog

OCTOBER 24, 2024

Alternatives to Rekognition people pathing One alternative to Amazon Rekognition people pathing combines the open source ML model YOLOv9 , which is used for object detection, and the open source ByteTrack algorithm, which is used for multi-object tracking. pip install opencv-python ultralytics !pip cvtColor(frame, cv2.COLOR_RGB2BGR)

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Dataconomy

JUNE 25, 2025

Data structures play a critical role in organizing and manipulating data efficiently, serving as the foundation for algorithms and high-performing applications. Importance of data structures Data structures significantly impact algorithm efficiency and application performance.

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Algorithm Computer Science Computer Science Database 91

Hacker News

JUNE 23, 2025

torchft implements a few different algorithms for fault tolerance. These algorithms minimize communication overhead by synchronizing at specified intervals instead of every step like HSDP. We’re always keeping an eye out for new algorithms, such as our upcoming support for streaming DiLoCo.

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Clustering Algorithm Database Machine Learning 175

Towards AI

NOVEMBER 6, 2024

This story explores CatBoost, a powerful machine-learning algorithm that handles both categorical and numerical data easily. CatBoost is a powerful, gradient-boosting algorithm designed to handle categorical data effectively. CatBoost is part of the gradient boosting family, alongside well-known algorithms like XGBoost and LightGBM.

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Cross Validation Decision Trees Algorithm Machine Learning 114

Hacker News

JUNE 13, 2025

SIMD-friendly algorithms for substring searching Author: Wojciech Muła Added on: 2016-11-28 Updated on: 2018-02-14 (spelling), 2017-04-29 (ARMv8 results) Introduction Popular programming languages provide methods or functions which locate a substring in a given string. and (2) based on a simple comparison, like the Karp-Rabin algorithm.

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Algorithm Python 62

AWS Machine Learning Blog

JANUARY 6, 2025

It usually comprises parsing log data into vectors or machine-understandable tokens, which you can then use to train custom machine learning (ML) algorithms for determining anomalies. You can adjust the inputs or hyperparameters for an ML algorithm to obtain a combination that yields the best-performing model. scikit-learn==0.21.3

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Dataversity

APRIL 23, 2025

Today, we navigate a landscape dominated by code, algorithms, and digital streams of data, a far cry from those early days. Yet, despite these transformative changes, the […] The post From Parchment to Python: How Smart Data Evolved to What It Is Today appeared first on DATAVERSITY.

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Python Algorithm Big Data Big Data 91

AWS Machine Learning Blog

JUNE 26, 2025

In this post, we demonstrate how to use SageMaker AI to apply the Random Cut Forest (RCF) algorithm to detect anomalies in spacecraft position, velocity, and quaternion orientation data from NASA and Blue Origin’s demonstration of lunar Deorbit, Descent, and Landing Sensors (BODDL-TP).

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AWS AI AI Python 97

ML @ CMU

JUNE 1, 2025

By the end of this post, you should know the general pipeline to train any model with any instruction dataset using the RLHF algorithm of your choice! Training Algorithm: REBEL , a state-of-the-art algorithm tailored for efficient RLHF optimization. You could run the complete scipt with: python./src/ultrafeedback_largebatch/generate.py

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Algorithm Python AI AI 154

Flipboard

JULY 9, 2025

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter 5 Ways to Transition Into AI from a Non-Tech Background You have a non-tech background?

Machine Learning 132

Machine Learning Machine Learning Natural Language Processing Data Science 132

Pickl AI

JUNE 5, 2025

While computationally intensive, it excels in interpretability and diverse applications, with practical implementations available in Python for exploratory data analysis. Python libraries like SciPy enable easy implementation and visualization of hierarchical clustering. What is Hierarchical Clustering?

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Clustering Machine Learning Machine Learning Exploratory Data Analysis 52

DrivenData Labs

MAY 12, 2025

In the Pose Bowl competition, winning solutions explored ways to implement object detection algorithms on limited hardware for use in space. Example output from Zamba Cloud, an application developed for conservation researchers building on data and algorithms from the Pri-matrix Factorization challenge.

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Algorithm Machine Learning Machine Learning Deep Learning 130

Flipboard

JUNE 16, 2025

In this post, I’ll show you exactly how I did it with detailed explanations and Python code snippets, so you can replicate this approach for your next machine learning project or competition. The threshold should reflect this reality and shouldn’t be set arbitrarily at 0.5.

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Machine Learning Machine Learning Data Science Artificial Intelligence 108

Flipboard

JUNE 13, 2025

Yet, navigating the world of AI can feel overwhelming, with its complex algorithms, vast datasets, and ever-evolving tools. Essential AI Skills Guide TL;DR Key Takeaways : Proficiency in programming languages like Python, R, and Java is essential for AI development, allowing efficient coding and implementation of algorithms.

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Artificial Intelligence Artificial Intelligence Exploratory Data Analysis Machine Learning 67

Dataconomy

DECEMBER 20, 2024

With the most recent developments in machine learning , this process has become more accurate, flexible, and fast: algorithms analyze vast amounts of data, glean insights from the data, and find optimal solutions. The optimization algorithm determines the optimal price changes needed to achieve the business targets based on these predictions.

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Machine Learning Machine Learning ML ML 103

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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AWS ML ML Machine Learning 111

Flipboard

JULY 2, 2025

Solution overview To implement our RAG workflow on SageMaker, we use a popular open source Python library known as LangChain. OpenSearch uses algorithms from the NMSLIB , Faiss , and Lucene libraries to power approximate k-NN search. To learn more about the differences between these engine algorithms, see Vector search.

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AWS Clustering K-nearest Neighbors Algorithm 130

Hacker News

JUNE 5, 2025

With Tokasaurus, we solve this detection problem by running a greedy depth-first search algorithm before every model forward pass that iteratively finds the longest shared prefixes possible. Tokasaurus is written in pure Python (although we do use attention and sampling ops from the excellent FlashInfer package).

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Python Algorithm AI AI 128

Flipboard

DECEMBER 3, 2024

Agent architecture The following diagram illustrates the serverless agent architecture with standard authorization and real-time interaction, and an LLM agent layer using Amazon Bedrock Agents for multi-knowledge base and backend orchestration using API or Python executors. Domain-scoped agents enable code reuse across multiple agents.

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AWS Machine Learning Machine Learning AI 143

How to Learn Machine Learning

APRIL 26, 2025

The processes of SQL, Python scripts, and web scraping libraries such as BeautifulSoup or Scrapy are used for carrying out the data collection. Tools like Python (with pandas and NumPy), R, and ETL platforms like Apache NiFi or Talend are used for data preparation before analysis.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

Towards AI

NOVEMBER 2, 2024

The library offers many pre-trained models and state-of-the-art algorithms, making it a popular choice among machine learning engineers and researchers. This is a Python file responsible for loading the model into memory and managing the entire inference pipeline, including preprocessing, inference, and postprocessing.

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Machine Learning Machine Learning ML ML 105

AWS Machine Learning Blog

NOVEMBER 19, 2024

Reserve your seat now AIM406: Attain ML excellence with proficiency in Amazon SageMaker Python SDK December Wednesday 4 |4:30 PM – 5:30 PM In this comprehensive code talk, delve into the robust capabilities of the Amazon SageMaker Python SDK.

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AWS Machine Learning Blog

FEBRUARY 25, 2025

Libraries The programming language used in this code is Python, complemented by the LangChain module, which is specifically designed to facilitate the integration and use of LLMs. For the classfier, we employed a classic ML algorithm, k-NN, using the scikit-learn Python module. This method takes a parameter, which we set to 3.

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Algorithm Machine Learning Machine Learning K-nearest Neighbors 84

Pickl AI

JUNE 5, 2025

Below are the essential core skills that aspiring and practicing data scientists need to excel in India’s competitive job market: Programming Languages: Proficiency in Python and R is essential. Data scientists in India use a broad toolkit tailored to local industry needs: Programming: Python, R, SQL.

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Data Scientist Data Science Power BI Machine Learning 52

Flipboard

JUNE 30, 2025

Coding ML algorithms, debugging obscure data issues, crafting a hypothesis — it all demands deep work. What does is the ability to focus deeply. Machine learning work, especially the research side, is not fast-paced in the traditional sense. It requires long stretches of uninterrupted, intense thought.

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Machine Learning Machine Learning Data Science ML 132

The MLOps Blog

DECEMBER 26, 2024

Developers can combine and connect these building blocks using a coherent Python API, allowing them to focus on creating LLM applications rather than dealing with the nitty-gritty of API specifications and data transformations. Source Step 1: Setting up Well begin by installing the necessary dependencies (I used Python 3.11.4

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Database Python Clustering Machine Learning 96

Women in Big Data

JUNE 6, 2025

The hackathon presented the perfect balance of challenge and engagement, allowing us to implement Python programming skills across the entire data science pipeline – from initial data cleaning and processing through exploratory data analysis to advanced machine learning model development and optimization.

Machine Learning 52

Machine Learning Machine Learning Exploratory Data Analysis Data Science 52

Towards AI

APRIL 28, 2025

Software engineering skills: familiarity with Python, virtual environments, and package installation. Python libraries: comfort importing and using packages and file I/O. If any of these are new, consider reviewing a quick Python tutorial or AI primer before proceeding. Its not purely vector space.

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AWS Machine Learning Blog

DECEMBER 9, 2024

Run ML experimentation with MLflow using the @remote decorator from the open-source SageMaker Python SDK. The scenario is using the XGBoost algorithm to train a binary classification model. The overall solution architecture is shown in the following figure.

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AWS Machine Learning Blog

NOVEMBER 25, 2024

Solution overview SageMaker JumpStart provides FMs through two primary interfaces: Amazon SageMaker Studio and the SageMaker Python SDK. Alternatively, you can use the SageMaker Python SDK to programmatically access and use JumpStart models. With SageMaker, you can streamline the entire model deployment process. Deploy Meta Llama 3.1

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PyImageSearch

APRIL 7, 2025

Singular Value Decomposition Singular Value Decomposition (SVD) is a popular algorithm used to diagonalize a matrix of an arbitrary shape. Power Iteration Algorithm Given a matrix of size , the power iteration algorithm to obtain , , and involves the following steps.

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Algorithm Deep Learning Deep Learning Python 107

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. Mathematics and Statistics: Linear Algebra, Calculus, Probability, and Statistics 3.

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Deep Learning Deep Learning Machine Learning Machine Learning 98