ODSC - Open Data Science

JUNE 4, 2024

To help our data scientists, data engineers, AI practitioners and data professionals of all types stay at the forefront of their fields, this day will be dedicated to hands-on training and workshops from leading experts. Friday, September 6th The final day of ODSC Europe will start strong with Keynote talks.

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Smart Data Collective

MAY 29, 2023

Three Different Analysts Data analysis as a whole is a very broad concept which can and should be broken down into three separate, more specific categories : Data Scientist, Data Engineer, and Data Analyst. Data Scientist These employees are programmers and analysts combined.

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Smart Data Collective

OCTOBER 17, 2022

While growing data enables companies to set baselines, benchmarks, and targets to keep moving ahead, it poses a question as to what actually causes it and what it means to your organization’s engineering team efficiency. What’s causing the data explosion? Explosive data growth can be too much to handle.

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AWS Machine Learning Blog

MAY 15, 2023

His team is responsible for designing, implementing, and maintaining end-to-end machine learning algorithms and data-driven solutions for Getir. Mutlu Polatcan is a Staff Data Engineer at Getir, specializing in designing and building cloud-native data platforms. He loves combining open-source projects with cloud services.

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AWS Machine Learning Blog

DECEMBER 7, 2023

Fatma Nur Dumlupınar Keşir received her Bachelor’s Degree from Industrial Engineering Department at Boğaziçi University. She then joined Getir in 2022 as a data scientist and has worked on Recommendation Engine projects, Mathematical Programming for Workforce Planning.

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AWS Machine Learning Blog

FEBRUARY 13, 2024

Let’s demystify this using the following personas and a real-world analogy: Data and ML engineers (owners and producers) – They lay the groundwork by feeding data into the feature store Data scientists (consumers) – They extract and utilize this data to craft their models Data engineers serve as architects sketching the initial blueprint.

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ODSC - Open Data Science

JANUARY 26, 2024

However, we are making a few changes, most importantly, ODSC East will feature 2 co-located summits, The Data Engineering Summit , and the Ai X Generative AI Summit. In-person attendees will have access to the Ai X Generative Summit and the Data Engineering Summit.

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AWS Machine Learning Blog

APRIL 19, 2023

ML models make predictions given a set of input data known as features , and data scientists easily spend more than 60% of their time designing and building these features. This example notebook demonstrates the pattern of using Feature Store as a central repository from which data scientists can extract training datasets.

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AWS Machine Learning Blog

SEPTEMBER 3, 2024

Seamless integration with SageMaker – As a built-in feature of the SageMaker platform, the EMR Serverless integration provides a unified and intuitive experience for data scientists and engineers. By unlocking the potential of your data, this powerful integration drives tangible business results.

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ODSC - Open Data Science

APRIL 4, 2024

Data Analytics in the Age of AI, When to Use RAG, Examples of Data Visualization with D3 and Vega, and ODSC East Selling Out Soon Data Analytics in the Age of AI Let’s explore the multifaceted ways in which AI is revolutionizing data analytics, making it more accessible, efficient, and insightful than ever before.

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ODSC - Open Data Science

JULY 3, 2023

The ODSC team will be hard at work getting the conference set up, so all sessions will be held virtually and will focus on data science and AI fundamentals, like programming, statistics, and mathematics for data science. Tuesday, October 31st Tuesday will be the first fully hybrid day, offering both in-person and virtual sessions.

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Data Science Big Data Analytics Big Data Analytics Data Engineering 52

Mlearning.ai

MARCH 3, 2023

Data Engineering A data engineers start to simplification Introduction A lot of time folks start directly jumping into KPIs ( Key Performace Indicators) without understanding the need for those KPIs. I have met with clients who have dumped all the data they had and never figured out what they really wanted to achieve.

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Flipboard

MARCH 7, 2023

The main benefit is that a data scientist can choose which script to run to customize the container with new packages. There are also limited options for ad hoc script customization by users, such as data scientists or ML engineers, due to permissions of the user profile execution role.

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IBM Journey to AI blog

JULY 6, 2023

It processes enormous amounts of data a human wouldn’t be able to work through in a lifetime and evolves as more data is processed. Challenges of data science Across most companies, finding, cleaning and preparing the proper data for analysis can take up to 80% of a data scientist’s day.

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Pickl AI

JULY 2, 2023

It brings together Data Engineering, Data Science, and Data Analytics. Thus providing a collaborative and interactive environment for teams to work on data-intensive projects. Databricks and offers a collaborative workspace where data engineers, data scientists, and analysts can work together seamlessly.

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Pickl AI

SEPTEMBER 24, 2024

As businesses increasingly rely on data to make informed decisions, the demand for skilled Data Scientists has surged, making this field one of the most sought-after in the job market. High Demand The demand for Data Scientists is staggering. Lucrative Career Data Science offers an appealing earning potential.

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Pickl AI

JANUARY 12, 2023

This Data Science and Machine Learning course encompass all the fundamentals of both these technologies. Thus making it a perfect choice for individuals who are working in this domain and all looking to excel as Data Scientists. The program is open to all and even freshers who are completely new to the world of Data Science.

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Pickl AI

JULY 14, 2023

Big Data and Deep Learning (2010s-2020s): The availability of massive amounts of data and increased computational power led to the rise of Big Data analytics. The average salary of a ML Engineer per annum is $125,087. The average salary for a Data Engineer stands at $115,592 per annum.

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Pickl AI

JANUARY 16, 2024

Cybersecurity Analyst Safeguarding organisations by analysing data to identify and prevent cyber threats, ensuring the security and integrity of digital systems. Spatial Data Scientist Utilising geographical data to gain insights, solve location-based problems, and contribute to urban planning, environmental conservation, and logistics.

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Pickl AI

APRIL 10, 2023

So, if you are eyeing your career in the data domain, this blog will take you through some of the best colleges for Data Science in India. There is a growing demand for employees with digital skills The world is drifting towards data-based decision making In India, a technology analyst can make between ₹ 5.5 Lakhs to ₹ 11.0

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AWS Machine Learning Blog

MARCH 10, 2023

Starting today, you can connect to Amazon EMR Hive as a big data query engine to bring in large datasets for ML. Aggregating and preparing large amounts of data is a critical part of ML workflow. His knowledge ranges from application architecture to big data, analytics, and machine learning.

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AWS Machine Learning Blog

MAY 3, 2023

For any machine learning (ML) problem, the data scientist begins by working with data. 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.

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Pickl AI

JUNE 4, 2024

Big Data Analytics This involves analyzing massive datasets that are too large and complex for traditional data analysis methods. Big Data Analytics is used in healthcare to improve operational efficiency, identify fraud, and conduct large-scale population health studies.

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The MLOps Blog

AUGUST 11, 2023

Getting a workflow ready which takes your data from its raw form to predictions while maintaining responsiveness and flexibility is the real deal. At that point, the Data Scientists or ML Engineers become curious and start looking for such implementations. 1 Data Ingestion (e.g.,

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