Data Science Dojo

DECEMBER 28, 2023

That world is not science fiction—it’s the reality of machine learning (ML). In this blog post, we’ll break down the end-to-end ML process in business, guiding you through each stage with examples and insights that make it easy to grasp. Formatting the data in a way that ML algorithms can understand.

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Towards AI

SEPTEMBER 5, 2024

Currently, we are working hard on the second edition of Building LLMs for Production, and we would love to know how your reading journey with the book has been. Super excited to read your reviews for the book! Perfectlord is looking for a few college students from India for the Amazon ML Challenge. AI poll of the week!

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Analytics Vidhya

JUNE 12, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Agglomerative Clustering using Single Linkage (Source) As we all know, The post Single-Link Hierarchical Clustering Clearly Explained! appeared first on Analytics Vidhya.

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Dataconomy

MAY 2, 2023

They design, develop, and deploy the machine learning algorithms that power everything from self-driving cars to personalized recommendations. They also develop algorithms that are utilized to sort through relevant data, and scale predictive models to best suit the amount of data pertinent to the business. They build the future.

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Dataconomy

MARCH 17, 2025

Machine learning (ML): Allows continuous improvement through data analysis. AI evolution: Virtual agents utilize more sophisticated algorithms for interaction. Hospitality: Assisting with booking inquiries and customer feedback. Natural language processing (NLP): Helps in understanding user intent and context.

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AWS Machine Learning Blog

DECEMBER 11, 2024

The challenge: Scaling quality assessments EBSCOlearnings learning pathscomprising videos, book summaries, and articlesform the backbone of a multitude of educational and professional development programs. This correctly reflects the assertion of the Consumer Relevancy model as described in the Book Summary.

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ODSC - Open Data Science

SEPTEMBER 21, 2023

The following is an extract from Andrew McMahon’s book , Machine Learning Engineering with Python, Second Edition. Secondly, to be a successful ML engineer in the real world, you cannot just understand the technology; you must understand the business. First of all, the ultimate goal of your work is to generate value.

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Mlearning.ai

OCTOBER 7, 2023

Much of this post is based on Machine Learning: An Algorithmic Perspective by Stephen Marsland. This book offers easy-to-follow and… Continue reading on MLearning.ai »

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Towards AI

JULY 1, 2024

Learn the basics of data engineering to improve your ML modelsPhoto by Mike Benna on Unsplash It is not news that developing Machine Learning algorithms requires data, often a lot of data. When the data is not good, the algorithms trained on it will not be good either.

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Dataconomy

AUGUST 3, 2023

They’ve long used AI’s little brother Machine Learning (ML) for demand and price management in the airline, hotel, and transport industries. expected to fine-tune pricing algorithms so suppliers can get maximum profits. Marketing companies are also babbling excitedly about AI’s ability to create hyper-personalized trips for travelers.

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Data Science Dojo

AUGUST 13, 2024

Large Language Models (LLMs) are advanced AI systems trained on vast datasets of text from the internet, books, articles, and other sources. These models leverage natural language processing (NLP) to understand, generate, and optimize content in ways that align with modern search engine algorithms and user intent.

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Data Science 101

APRIL 26, 2019

Golang Data Science Books. There have even been a couple books written about the topic. Go Machine Learning Projects (2018) – this book uses gonum and gorgonia in the examples Machine Learning with Go (2017). Thoughts from the Community.

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Towards AI

APRIL 7, 2024

Created by the author with DALL E-3 Statistics, regression model, algorithm validation, Random Forest, K Nearest Neighbors and Naïve Bayes— what in God’s name do all these complicated concepts have to do with you as a simple GIS analyst? For example, it takes millions of images and runs them through a training algorithm.

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Towards AI

FEBRUARY 15, 2024

AI Engineers: Your Definitive Career Roadmap Become a professional certified AI engineer by enrolling in the best AI ML Engineer certifications that help you earn skills to get the highest-paying job. Coding, algorithms, statistics, and big data technologies are especially crucial for AI engineers.

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Towards AI

JULY 18, 2024

If you want to check it out, we also have our book, Building LLMs for Production, available on the O’Reilly learning platform. We recently partnered with O’Reilly to make our book available on their learning platform. If you are enjoying our latest book, Building LLMs for Production, could you take a moment to drop an honest review?

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O'Reilly Media

SEPTEMBER 19, 2023

Stage 2: Machine learning models Hadoop could kind of do ML, thanks to third-party tools. But in its early form of a Hadoop-based ML library, Mahout still required data scientists to write in Java. And it (wisely) stuck to implementations of industry-standard algorithms. Those algorithms packaged with scikit-learn?

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AWS Machine Learning Blog

NOVEMBER 30, 2023

Verifiable evaluation scores are provided across text generation, summarization, classification and question answering tasks, including customer-defined prompt scenarios and algorithms. It also integrates with Machine Learning and Operation (MLOps) workflows in Amazon SageMaker to automate and scale the ML lifecycle. What is FMEval?

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AWS Machine Learning Blog

JUNE 26, 2024

Capital markets operation teams face numerous challenges throughout the post-trade lifecycle, including delays in trade settlements, booking errors, and inaccurate regulatory reporting. Artificial intelligence and machine learning (AI/ML) technologies can assist capital market organizations overcome these challenges.

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AWS Machine Learning Blog

JANUARY 31, 2024

Embeddings play a key role in natural language processing (NLP) and machine learning (ML). This technique is achieved through the use of ML algorithms that enable the understanding of the meaning and context of data (semantic relationships) and the learning of complex relationships and patterns within the data (syntactic relationships).

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DagsHub

AUGUST 29, 2024

Source: Author Introduction Machine learning (ML) models, like other software, are constantly changing and evolving. Version control systems (VCS) play a key role in this area by offering a structured method to track changes made to models and handle versions of data and code used in these ML projects.

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Towards AI

SEPTEMBER 12, 2024

Learn about the most exciting advancements in ML, NLP, and robotics and how they are being scaled for success and growth. If you’re into offline-first apps, vector databases, or running ML models on users’ devices, read the article here. Support a fellow community member and share your feedback in the thread! AI poll of the week!

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Applied Data Science

OCTOBER 25, 2021

Solid theoretical background in statistics and machine learning, experience with state-of-the-art deep learning algorithms, expert command of tools for data pre-processing, database management and visualisation, creativity and story-telling abilities, communication and team-building skills, familiarity with the industry.

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AWS Machine Learning Blog

FEBRUARY 25, 2025

Services class Texts belonging to this class consist of explicit requests for services such as room reservations, hotel bookings, dining services, cinema information, tourism-related inquiries, and similar service-oriented requests. For the classfier, we employed a classic ML algorithm, k-NN, using the scikit-learn Python module.

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Dataconomy

SEPTEMBER 19, 2023

The concept encapsulates a broad range of AI-enabled abilities, from Natural Language Processing (NLP) to machine learning (ML), aimed at empowering computers to engage in meaningful, human-like dialogue. But what exactly is conversational intelligence, and why is it so crucial in today’s tech-driven world?

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Pickl AI

NOVEMBER 4, 2024

Mathematics is critical in Data Analysis and algorithm development, allowing you to derive meaningful insights from data. Linear algebra is vital for understanding Machine Learning algorithms and data manipulation. Books and Tutorials Books and tutorials are valuable resources for in-depth, self-paced learning.

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AWS Machine Learning Blog

MARCH 13, 2024

JumpStart is the machine learning (ML) hub of SageMaker that provides access to foundation models in addition to built-in algorithms and end-to-end solution templates to help you quickly get started with ML. But with great power comes great responsibility, As algorithms can bias, with malicious intent.

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AWS Machine Learning Blog

SEPTEMBER 11, 2024

These activities cover disparate fields such as basic data processing, analytics, and machine learning (ML). ML is often associated with PBAs, so we start this post with an illustrative figure. The ML paradigm is learning followed by inference. The union of advances in hardware and ML has led us to the current day.

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Pickl AI

SEPTEMBER 12, 2024

With over 4 million hosts and more than 1 billion guest arrivals since its inception, the platform collects data from various sources, including user interactions, booking patterns, and customer feedback. For example, Airbnb analyses past booking data to understand seasonal trends and popular destinations.

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AWS Machine Learning Blog

APRIL 4, 2023

AWS provides various services catered to time series data that are low code/no code, which both machine learning (ML) and non-ML practitioners can use for building ML solutions. We recommend running this notebook on Amazon SageMaker Studio , a web-based, integrated development environment (IDE) for ML.

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AWS Machine Learning Blog

FEBRUARY 29, 2024

Creating scalable and efficient machine learning (ML) pipelines is crucial for streamlining the development, deployment, and management of ML models. Configuration files (YAML and JSON) allow ML practitioners to specify undifferentiated code for orchestrating training pipelines using declarative syntax.

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Heartbeat

MARCH 14, 2023

By incorporating computer vision methods and algorithms into robots, they are able to view and understand their environment. Object recognition and tracking algorithms include the CamShift algorithm , Kalman filter , and Particle filter , among others.

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AWS Machine Learning Blog

JUNE 12, 2024

Photo by Zbynek Burival on Unsplash Time series forecasting is a specific machine learning (ML) discipline that enables organizations to make informed planning decisions. Amazon has a long heritage of using time series forecasting, dating back to the early days of having to meet mail-order book demand.

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AWS Machine Learning Blog

MAY 4, 2023

Writing a best-selling book using a model such as GPT2, Bloom, or Flan-T5-XL Composing your next symphony using the Transformers technique in AWS DeepComposer AWS DeepComposer is an educational tool that helps you understand the key concepts associated with machine learning (ML) through the language of musical composition.

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O'Reilly Media

JUNE 15, 2023

Oxford philosopher Nick Bostrom, author of the book Superintelligence , once posited as a thought experiment an AI-managed factory given the command to optimize the production of paperclips. This idea goes back to Herbert Simon’s 1956 book Administrative Behavior.) In his book Voices in the Code , James G. We satisfice.”

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AWS Machine Learning Blog

FEBRUARY 13, 2024

The BigBasket team was running open source, in-house ML algorithms for computer vision object recognition to power AI-enabled checkout at their Fresho (physical) stores. Their objective was to fine-tune an existing computer vision machine learning (ML) model for SKU detection. Log model training metrics.

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AWS Machine Learning Blog

OCTOBER 9, 2023

You can try out this model with SageMaker JumpStart, a machine learning (ML) hub that provides access to algorithms and models so you can quickly get started with ML. What is SageMaker JumpStart With SageMaker JumpStart, ML practitioners can choose from a growing list of best-performing foundation models.

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AWS Machine Learning Blog

JANUARY 25, 2023

Model explainability refers to the process of relating the prediction of a machine learning (ML) model to the input feature values of an instance in humanly understandable terms. Amazon SageMaker Clarify is a feature of Amazon SageMaker that enables data scientists and ML engineers to explain the predictions of their ML models.

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