How to Learn Machine Learning

APRIL 26, 2025

The field of data science is now one of the most preferred and lucrative career options available in the area of data because of the increasing dependence on data for decision-making in businesses, which makes the demand for data science hires peak. Their insights must be in line with real-world goals.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

Pickl AI

NOVEMBER 4, 2024

Summary: The fundamentals of Data Engineering encompass essential practices like data modelling, warehousing, pipelines, and integration. Understanding these concepts enables professionals to build robust systems that facilitate effective data management and insightful analysis. What is Data Engineering?

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Data Engineering Data Engineer Data Engineering Data Engineering 52

AWS Machine Learning Blog

AUGUST 15, 2024

With over 50 connectors, an intuitive Chat for data prep interface, and petabyte support, SageMaker Canvas provides a scalable, low-code/no-code (LCNC) ML solution for handling real-world, enterprise use cases. Organizations often struggle to extract meaningful insights and value from their ever-growing volume of data.

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ML ML Data Preparation AWS 132

AWS Machine Learning Blog

SEPTEMBER 3, 2024

Harnessing the power of big data has become increasingly critical for businesses looking to gain a competitive edge. However, managing the complex infrastructure required for big data workloads has traditionally been a significant challenge, often requiring specialized expertise.

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Flipboard

DECEMBER 11, 2024

Organizations are building data-driven applications to guide business decisions, improve agility, and drive innovation. Many of these applications are complex to build because they require collaboration across teams and the integration of data, tools, and services. Big Data Architect. He works based in Tokyo, Japan.

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SQL AWS Data Lakes AI 160

ODSC - Open Data Science

AUGUST 9, 2023

For a comprehensive understanding of the practical applications, including a detailed code walkthrough from data preparation to model deployment, please join us at the ODSC APAC conference 2023. Now, let’s give you a taste of what’s in store (the GitHub code repository can be found here ). if the recipe is a dessert, 0.0

Machine Learning 52

Machine Learning Machine Learning AWS Big Data 52

AWS Machine Learning Blog

JANUARY 6, 2023

The vendors evaluated for this MarketScape offer various software tools needed to support end-to-end machine learning (ML) model development, including data preparation, model building and training, model operation, evaluation, deployment, and monitoring.

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AWS ML ML Data Preparation 95

Women in Big Data

APRIL 30, 2024

The Women in Big Data (WiBD) and DataCamp Donates monthly Zoom Info-Session took place last Friday. Introduction The zoom meeting started with a warm welcome by Srabasti Banerjee , and a brief introduction to the world of Women in Big Data by Shala Arshi. It was really neat. Link to the recording.

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AWS Machine Learning Blog

MARCH 10, 2023

Data Wrangler enables you to access data from a wide variety of popular sources ( Amazon S3 , Amazon Athena , Amazon Redshift , Amazon EMR and Snowflake) and over 40 other third-party sources. Starting today, you can connect to Amazon EMR Hive as a big data query engine to bring in large datasets for ML.

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Clustering AWS ML ML 102

AWS Machine Learning Blog

JUNE 17, 2024

Data preparation and training The data preparation and training pipeline includes the following steps: The training data is read from a PrestoDB instance, and any feature engineering needed is done as part of the SQL queries run in PrestoDB at retrieval time.

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ML ML AWS Machine Learning 129

Women in Big Data

JULY 19, 2024

The Women in Big Data (WiBD) Spring Hackathon 2024, organized by WiDS and led by WiBD’s Global Hackathon Director Rupa Gangatirkar , sponsored by Gilead Sciences, offered an exciting opportunity to sharpen data science skills while addressing critical social impact challenges.

Data Science 52

Data Science Big Data Big Data Machine Learning 52

Pickl AI

JULY 2, 2023

Amidst all the new developments, data bricks have emerged as a unified analytics platform. What is Databricks? It is a unified analytics platform that simplifies building big data and AI solutions. It brings together Data Engineering, Data Science, and Data Analytics.

Machine Learning 52

Machine Learning Machine Learning Big Data Big Data 52

Flipboard

NOVEMBER 24, 2023

Using the BMW data portal, users can request access to on-premises databases or data stored in BMW’s Cloud Data Hub, making it available in their workspace for development and experimentation, from data preparation and analysis to model training and validation.

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AWS Machine Learning Blog

NOVEMBER 29, 2023

We use a test data preparation notebook as part of this step, which is a dependency for the fine-tuning and batch inference step. When fine-tuning is complete, this notebook is run using run magic and prepares a test dataset for sample inference with the fine-tuned model.

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ML ML Data Scientist Python 121

AWS Machine Learning Blog

SEPTEMBER 18, 2024

It simplifies feature access for model training and inference, significantly reducing the time and complexity involved in managing data pipelines. Additionally, Feast promotes feature reuse, so the time spent on data preparation is reduced greatly. Saurabh Gupta is a Principal Engineer at Zeta Global.

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AWS Machine Learning Machine Learning ML 128

DataRobot Blog

OCTOBER 3, 2017

Enterprise data architects, data engineers, and business leaders from around the globe gathered in New York last week for the 3-day Strata Data Conference , which featured new technologies, innovations, and many collaborative ideas.

Data Lakes 52

Data Lakes Azure Data Pipeline Hadoop 52

ODSC - Open Data Science

NOVEMBER 19, 2024

Dimensional Data Modeling in the Modern Era by Dustin Dorsey Slides Dustin Dorsey’s AI slides explored the evolution of dimensional data modeling, a staple in data warehousing and business intelligence. Despite the rise of big data technologies and cloud computing, the principles of dimensional modeling remain relevant.

Deep Learning 52

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Pickl AI

OCTOBER 10, 2024

Enhanced Data Quality : These tools ensure data consistency and accuracy, eliminating errors often occurring during manual transformation. Scalability : Whether handling small datasets or processing big data, transformation tools can easily scale to accommodate growing data volumes.

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Data Quality AWS Machine Learning Machine Learning 52

Pickl AI

APRIL 10, 2023

Data Analysts need deeper knowledge on SQL to understand relational databases like Oracle, Microsoft SQL and MySQL. Moreover, SQL is an important tool for conducting Data Preparation and Data Wrangling. For example, Data Analysts who need to use Big Data tools for conducting data analysis need to have expertise in SQL.

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Data Analyst SQL Data Analysis Data Analysis 52

Pickl AI

SEPTEMBER 5, 2024

Unified Data Services: Azure Synapse Analytics combines big data and data warehousing, offering a unified analytics experience. Azure’s global network of data centres ensures high availability and performance, making it a powerful platform for Data Scientists to leverage for diverse data-driven projects.

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Azure Data Scientist Data Science Machine Learning 52

Flipboard

MARCH 7, 2023

Studio provides all the tools you need to take your models from data preparation to experimentation to production while boosting your productivity. He develops and codes cloud native solutions with a focus on big data, analytics, and data engineering.

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Python AWS ML ML 123

AWS Machine Learning Blog

MAY 3, 2023

This includes gathering, exploring, and understanding the business and technical aspects of the data, along with evaluation of any manipulations that may be needed for the model building process. One aspect of this data preparation is feature engineering. Sharmo Sarkar is a Senior Manager at Vericast.

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AWS Machine Learning Machine Learning ML 105

The MLOps Blog

JUNE 27, 2023

Alignment to other tools in the organization’s tech stack Consider how well the MLOps tool integrates with your existing tools and workflows, such as data sources, data engineering platforms, code repositories, CI/CD pipelines, monitoring systems, etc. This provides end-to-end support for data engineering and MLOps workflows.

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Machine Learning Machine Learning ML ML 134

AWS Machine Learning Blog

JANUARY 26, 2024

After your generative AI workload environment has been secured, you can layer in AI/ML-specific features, such as Amazon SageMaker Data Wrangler to identify potential bias during data preparation and Amazon SageMaker Clarify to detect bias in ML data and models. Ram Vittal is a Principal ML Solutions Architect at AWS.

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