ProjectPro

JUNE 6, 2025

Getting Started with NLTK NLP with NLTK in Python NLTK Tutorial-1: Text Classification using NLTK NLTK Tutorial-2: Text Similarity and Clustering using NLTK NLTK Tutorial-3: Working with Word Embeddings in NLTK Top 3 NLTK NLP Project Ideas for Practice Build Custom NLP Models using NLTK with ProjectPro! Let's look at an example below.

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Building Datasets Python Algorithm 66

ProjectPro

JUNE 6, 2025

Using Airflow for Building and Monitoring the Data Pipeline of Amazon Redshift 4. Top10 AWS Redshift Project Ideas and Examples for Practice This article will list the top 10 AWS project ideas for beginners, intermediates, and experts who want to master the art of building data pipelines using AWS Redshift. Image credit: dev.to/aws-builders/build-a-data-warehouse-quickly-with-amazon-redshift-2op8

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Data Pipeline AWS Project Building 64

ProjectPro

JUNE 6, 2025

Efficient Scheduling and Runtime Increased Adaptability and Scope Faster Analysis and Real-Time Prediction Introduction to the Machine Learning Pipeline Architecture How to Build an End-to-End a Machine Learning Pipeline? This makes it easier for machine learning pipelines to fit into any model-building application.

Machine Learning 58

Machine Learning Building Amazon Web Services Deep Learning 58

The Pragmatic Engineer

NOVEMBER 26, 2024

It’s been nearly 6 months since our research into which AI tools software engineers use, in the mini-series, AI tooling for software engineers: reality check. At the time, the most popular tools were ChatGPT for LLMs, and GitHub copilot for IDE-integrated tooling. model was released, which has superior code generation compared to ChatGPT.

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ProjectPro

JUNE 6, 2025

Then, we’ll begin a hands-on journey to build a Knowledge Graph. All thanks to Graph-theory-based-Knowledge-Graphs, AI systems can gauge beyond isolated facts, weaving together a web of meaning that imitates human understanding. If you are ready to explore the wonder of Knowledge Graphs in AI, continue reading.

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Building Unstructured Data Database Datasets 52

ProjectPro

JUNE 6, 2025

Project Idea: To build a customer support chatbot in Python , you can leverage LangChain and LangGraph. Source Code: How to Build an LLM-Powered Data Analysis Agent? Source Code: How to Build a Custom AI Agent? Start by setting up the necessary libraries (openai, LangChain, and LangGraph).

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Project Building Banking Healthcare 59

ProjectPro

JUNE 6, 2025

This blog is your complete guide to building Generative AI applications in Python. The real question is: how do you build your own GenAI applications and tap into this power? Look no further—this guide will walk you through everything you need to build your own GenAI model. Let’s get started!

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Building Banking SQL Deep Learning 52

The Pragmatic Engineer

JUNE 12, 2025

An eye-catching detail widely reported by media and on social media about the bankrupt business Builder.ai last week, was that the company faked AI with 700 engineers in India: “Microsoft-backed AI startup chatbots revealed to be human employees” – Mashable “Builder.ai Also, it’s the year 2024 in this experiment.

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ProjectPro

JUNE 6, 2025

We will bridge that gap through this comprehensive guide to building an LLM from scratch—covering everything from data preparation to model tuning. So, come along on this journey to explore the building blocks of LLMs, gain practical insights, and start training an LLM from scratch that suits your goals.

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Building Datasets Architecture Systems 52

ProjectPro

JUNE 6, 2025

We know you are enthusiastic about building data pipelines from scratch using Airflow. For example, if we want to build a small traffic dashboard that tells us what sections of the highway suffer traffic congestion. Apache Airflow is a batch-oriented tool for building data pipelines. Is Airflow an ETL Tool?

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Data Pipeline Building Python Raw Data 45

databricks

JUNE 11, 2025

Last year, the promise of data intelligence – building AI that can reason over your data – arrived with Mosaic AI, a comprehensive platform for building, evaluating, monitoring, and securing AI systems. Building nuanced evaluations often required expensive manual labeling.

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Entertainment Manufacturing Retail Consulting 132

Teradata

MAY 30, 2025

Register now Home Insights Artificial Intelligence Article Build a Data Mesh Architecture Using Teradata VantageCloud on AWS Explore how to build a data mesh architecture using Teradata VantageCloud Lake as the core data platform on AWS. The data mesh architecture Key components of the data mesh architecture 1.

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AWS Architecture Building Amazon Web Services 52

ProjectPro

JUNE 6, 2025

(In reference to Big Data) Developers of Google had taken this quote seriously, when they first published their research paper on GFS (Google File System) in 2003. Little did anyone know, that this research paper would change, how we perceive and process data. Same is the story, of the elephant in the big data room- “Hadoop” Surprised?

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Hadoop IT Big Data Retail 45

ProjectPro

JUNE 6, 2025

In building machine learning projects , the basics involve preparing datasets. Data preparation for machine learning algorithms is usually the first step in any data science project. It involves various steps like data collection, data quality check, data exploration, data merging, etc. Refer to the video below to know what it looks like.

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Data Preparation Machine Learning Project IT 45

ProjectPro

JUNE 6, 2025

Check Out ProjectPro's Deep Learning Course to Gain Practical Skills in Building and Training Neural Networks! One of the most powerful and widely-used RNN architectures is the Long Short-Term Memory (LSTM) neural network model. Table of Contents What is LSTM(Long Short-Term Memory) Model? Operations inside the light red circle are pointwise.

Building 49

Building Deep Learning Datasets Algorithm 49

ProjectPro

JUNE 6, 2025

How to Build an ARIMA Model in Python for Forecasting? Table of Contents ARIMA Model- Complete Guide to Time Series Forecasting in Python ARIMA Model Equation/Formula Why does ARIMA need Stationary Time-Series Data? When to Use the ARIMA Model? How to Justify the Use of the ARIMA Model? How to Fit ARIMA in Python?

Python 49

Python Building Machine Learning Datasets 49

ProjectPro

JUNE 6, 2025

Hallucination is a common issue that most data scientists face with their large language models, especially those with high complexity. It can occur due to various other factors, such as overfitting and training data bias/inaccuracy, which results in the Large Language Models (LLMs) repeating random facts and outputs.

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Building Data Governance Government Data Science 52

Christophe Blefari

JANUARY 11, 2025

Over the past four weeks, I took a break from blogging and LinkedIn to focus on building nao. DeepSeek is a model trained by the Chinese company with the same name, they directly compete with OpenAI and all to build foundational models. We announced the AI Product Day , a 1-day conference that will take place in Paris on March 31.

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Data Data Warehouse Programming Language Coding 130

The Pragmatic Engineer

APRIL 21, 2024

A refresher on OpenAI, and on Evan Evan: how did you join OpenAI, and end up heading the Applied engineering group – which also builds ChatGPT? I do  not  have a PhD in Machine Learning, and was excited by the idea of building APIs and engineering teams. "How does ChatGPT work, under the hood?" Tokenization.  We

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Engineering Software Engineer Software Engineering Programming 363

The Pragmatic Engineer

OCTOBER 17, 2024

A €150K ($165K) grant, three people, and 10 months to build it. The name comes from the concept of “spare cores:” machines currently unused, which can be reclaimed at any time, that cloud providers tend to offer at a steep discount to keep server utilization high. Source: Spare Cores. Tech stack. Benchmarking tools.

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Cloud Metadata AWS Cloud Computing 330

KDnuggets

JUNE 9, 2025

Abid Ali Awan ( @1abidaliawan ) is a certified data scientist professional who loves building machine learning models. His vision is to build an AI product using a graph neural network for students struggling with mental illness. Storage: Ensure you have at least 200GB of free disk space for the model and its dependencies.

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Telecommunication Data Science Machine Learning Python 131

Data Engineering Weekly

DECEMBER 28, 2024

Enterprises are encouraged to experiment with AI, build numerous small-scale agents, learn from each, and expand their agent infrastructure over time. These platforms are instrumental in building the robust data infrastructure necessary to support the burgeoning field of AI agents.

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Unstructured Data Metadata Government Data 112

KDnuggets

JUNE 13, 2025

The company offers a comprehensive ecosystem that automates the entire development process, including building, testing, debugging, deploying, and monitoring applications. Abid Ali Awan ( @1abidaliawan ) is a certified data scientist professional who loves building machine learning models. Visit the Claude GitHub App page: [link].

Data Science 119

Data Science Telecommunication Machine Learning Python 119

The Pragmatic Engineer

OCTOBER 10, 2023

He’s solved interesting engineering challenges along the way, too – like building observability for Amazon’s EC2 offering, and being one of the first engineers on Uber’s observability platform. We covered more on this topic in the article How Uber built its observability platform.

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Software Engineer Software Engineering Architecture Media 320

KDnuggets

JUNE 11, 2025

One notable recent release is Yambda-5B , a 5-billion-event dataset contributed by Yandex, based on data from its music streaming service, now available via Hugging Face. Yambda comes in 3 sizes (50M, 500M, 5B) and includes baselines to underscore accessibility and usability. However, it lacks long-term history and explicit feedback.

Datasets 125

Datasets Metadata Data Science Machine Learning 125

The Pragmatic Engineer

MAY 11, 2023

The internet has been speculating the past few days on which crypto company spent $65M on Datadog in 2022. I confirmed it was Coinbase, and here are the details of what happened. Originally published on 11 May 2023. 👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. Can you possibly shed a little more light?“

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AWS Software Engineer Software Engineering Google Cloud 335

The Pragmatic Engineer

MARCH 12, 2024

In one of their studies, Sacknman, Erikson, and Grant were measuring performances of a group of experienced programmers. ” Brooks agrees with this observation, and suggests a radical solution: have as few senior programmers as possible, and build a team around each one – a bit like how a hospital surgeon leads a whole team.

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Engineering Programming Language Hospitality Programming 318

The Pragmatic Engineer

JUNE 1, 2023

Phase 2: some business logic, and more infra (December-January) Draw a map using JavaScript to map onto an SVG format Build a graph and traverse it. The project looks like a tough one to build from scratch on the side. See it in action, here : A screenshot of the interactive “Rides” app. Incremental progress.

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Education Project PostgreSQL Software Engineer 364

The Pragmatic Engineer

SEPTEMBER 26, 2023

This means more repositories are needed, which are fast enough to build and work with, but which increase fragmentation. No wonder compute time was so valuable! The input/output area of the Atlas computer (right) and the computer itself, occupying a large room with its circuit boards inside closets. Larger codebases. Remote work.

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Cloud Software Engineer Software Engineering Cloud Computing 314

The Pragmatic Engineer

MARCH 19, 2024

A first, smaller wave of these stories included Magic.dev raising $100M in funding from Nat Friedman (CEO of GitHub from 2018-2021,) and Daniel Gross (cofounder of search engine Cue which Apple acquired in 2013,) to build a “superhuman software engineer.” Clearly, this would generate a handsome return for investors and founders.

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Software Engineer Software Engineering Programming Language Media 328