Becoming Human

MAY 15, 2023

You have to learn only those parts of technology that are useful in data science as well as help you land a job. Don’t worry; you have landed at the right place; in this article, I will give you a crystal clear roadmap to learning data science. Because this is the only effective way to learn Data Analysis.

Data Science 75

Data Science Machine Learning Machine Learning Database 75

ODSC - Open Data Science

OCTOBER 9, 2023

BPCS’s deep understanding of Databricks can help organizations of all sizes get the most out of the platform, with services spanning data migration, engineering, science, ML, and cloud optimization. HPCC is a high-performance computing platform that helps organizations process and analyze large amounts of data.

Machine Learning 52

Machine Learning Machine Learning Data Science AI 52

Pickl AI

MARCH 4, 2024

Preparing for Power BI interviews is paramount, given the competitive landscape. In earlier articles, you read about creating a heatmap in Power BI and a complete PowerBI tutorial. This article aims to unravel the mysteries surrounding common, complex, and highly challenging Power BI interview questions. Lakhs to ₹9.0

Power BI 52

Power BI Data Analysis Data Analysis Data Modeling 52

Mlearning.ai

JUNE 28, 2023

{This article was written without the assistance or use of AI tools, providing an authentic and insightful exploration of PyCaret} Image by Author ‍In the rapidly evolving realm of data science, the imperative to automate machine learning workflows has become an indispensable requisite for enterprises aiming to outpace their competitors.

Machine Learning 52

Machine Learning Machine Learning Data Preparation Data Science 52

Pickl AI

SEPTEMBER 10, 2024

AI in Excel enhances productivity by automating tasks like Data Analysis, forecasting, and report generation. This article explores how to use AI in Excel for smart solutions, highlighting key AI features and tools that boost productivity. Here’s how various AI tools integrate with Excel to boost productivity and efficiency.

Power BI 52

Power BI Data Analysis Data Analysis AI 52

Mlearning.ai

JUNE 1, 2023

Strategy After researching various approaches, this research article, ‘ Animal Sound Classification Using A Convolutional Neural Network’ intrigued me and I began to study various approaches. Sample Data By using image_location, I am able to store images on disk as opposed to loading all the images in memory.

Deep Learning 52

Deep Learning Deep Learning Azure AWS 52

Flipboard

DECEMBER 13, 2024

With SageMaker JumpStart, you can evaluate, compare, and select foundation models (FMs) quickly based on predefined quality and responsibility metrics to perform tasks such as article summarization and image generation. Baseline testing Use the question set to test the pre-trained model, establishing a performance baseline.

Analytics 127

Analytics Analytics AI AI 127

DagsHub

APRIL 21, 2024

A traditional machine learning (ML) pipeline is a collection of various stages that include data collection, data preparation, model training and evaluation, hyperparameter tuning (if needed), model deployment and scaling, monitoring, security and compliance, and CI/CD.

Machine Learning 59

Machine Learning Machine Learning ML ML 59

Pickl AI

NOVEMBER 4, 2024

The global Big Data and Data Engineering Services market, valued at USD 51,761.6 This article explores the key fundamentals of Data Engineering, highlighting its significance and providing a roadmap for professionals seeking to excel in this vital field. million by 2028.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Heartbeat

MAY 29, 2023

A small portion of the LLM ecosystem; image from scalevp.com In this article, we will provide a comprehensive guide to training, deploying, and improving LLMs. In this article, we will explore the essential steps involved in training LLMs, including data preparation, model selection, hyperparameter tuning, and fine-tuning.

Machine Learning 78

Machine Learning Machine Learning Natural Language Processing Data Preparation 78

The MLOps Blog

JUNE 27, 2023

To provide you with a comprehensive overview, this article explores the key players in the MLOps and FMOps (or LLMOps) ecosystems, encompassing both open-source and closed-source tools, with a focus on highlighting their key features and contributions. Check out the documentation to get started.

Machine Learning 134

Machine Learning Machine Learning ML ML 134

ODSC - Open Data Science

JANUARY 29, 2024

The role of prompt engineer has attracted massive interest ever since Business Insider released an article last spring titled “ AI ‘Prompt Engineer Jobs: $375k Salary, No Tech Backgrund Required.” Sagemaker: Provides a cloud-based platform for fine-tuning and deploying LLM models, simplifying workflow and resource management.

Data Science 52

Data Science Machine Learning Machine Learning Natural Language Processing 52

Pickl AI

OCTOBER 17, 2024

Summary: This article explores the significance of ETL Data in Data Management. It highlights key components of the ETL process, best practices for efficiency, and future trends like AI integration and real-time processing, ensuring organisations can leverage their data effectively for strategic decision-making.

ETL 52

ETL Data Warehouse Data Quality Data Governance 52

DagsHub

JULY 15, 2024

The financial implications of developing and deploying LLMs are considerable, with costs encompassing data acquisition, computational power, and ongoing maintenance. Code and Content Generation : LLMs can facilitate the generation of written content such as articles, reports, and narratives.

Azure 52

Azure AI AI Database 52

The MLOps Blog

OCTOBER 20, 2023

Nevertheless, many data scientists will agree that they can be really valuable – if used well. And that’s what we’re going to focus on in this article, which is the second in my series on Software Patterns for Data Science & ML Engineering. in a pandas DataFrame) but in the company’s data warehouse (e.g.,

SQL 52

SQL Database Data Scientist Python 52

The MLOps Blog

MAY 31, 2023

In this article, I will share my learnings of how successful ML platforms work in an eCommerce and what are the best practices a Team needs to follow during the course of building it. The objective of an ML Platform is to automate repetitive tasks and streamline the processes starting from data preparation to model deployment and monitoring.

ML 59

ML ML Algorithm Machine Learning 59

The MLOps Blog

NOVEMBER 30, 2022

Data science teams currently struggle with managing multiple experiments and models and need an efficient way to store, retrieve, and utilize details like model versions, hyperparameters, and performance metrics. Different tools: Your repository consists of multiple tools, libraries, and infrastructure providers like Azure, AWS, and GCP.

ML 52

ML ML Machine Learning Machine Learning 52

Pickl AI

NOVEMBER 18, 2024

The article also addresses challenges like data quality and model complexity, highlighting the importance of ethical considerations in Machine Learning applications. Key steps involve problem definition, data preparation, and algorithm selection. Data quality significantly impacts model performance.

Machine Learning 52

Machine Learning Machine Learning Algorithm Decision Trees 52

AWS Machine Learning Blog

SEPTEMBER 11, 2024

High demand has risen from a range of sectors, including crypto mining, gaming, generic data processing, and AI. Historical data is normally (but not always) independent inter-day, meaning that days can be parsed independently. The same WSJ article states “No one alpha is important.

AWS 106

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DagsHub

NOVEMBER 18, 2024

Errors and inconsistencies in the annotated data often lead to noisy data that increases the likelihood of bias and limits the model’s ability to generalize. In this article, you will learn about the importance of image annotation and what you should know for annotating image files for machine learning at scale.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

How to Learn Machine Learning

MAY 3, 2025

All the clouds are different, and for us GCP offers some cool benefits that we will highlight in this article vs the AWS AI Services or Azure Machine Learning. End-to-End ML Operations From data preparation to model deployment and monitoring, GCP AI Platform supports the entire machine learning lifecycle.

Machine Learning 59

Machine Learning Machine Learning AI AI 59

Dataconomy

MARCH 7, 2025

Whether its crafting SEO-optimized articles or personalized email drafts, Jasper accelerates content workflows while maintaining human-like fluency. From customer service chatbots to data-driven decision-making , Watson enables businesses to extract insights from large-scale datasets with precision.

AI 91

AI AI Machine Learning Machine Learning 91