ODSC - Open Data Science

JUNE 4, 2024

ODSC Europe is coming to London this September and bringing leading experts in everything from generative AI and LLMs to data analysis to one of AI’s most vibrant hubs. You can also get data science training on-demand wherever you are with our Ai+ Training platform. Interested in attending an ODSC event?

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Data Science Dojo

JULY 3, 2024

Here’s a list of key skills that are typically covered in a good data science bootcamp: Programming Languages : Python : Widely used for its simplicity and extensive libraries for data analysis and machine learning. R : Often used for statistical analysis and data visualization.

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Smart Data Collective

MARCH 18, 2020

This data volume is constantly increasing to the extent that it’s even not possible to estimate the amount of data points available with many brands. For this data to be valuable, it needs to be properly analyzed that’s why the data analysis tools become more and more popular. Principle of work.

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ODSC - Open Data Science

FEBRUARY 8, 2024

EVENT — ODSC East 2024 In-Person and Virtual Conference April 23rd to 25th, 2024 Join us for a deep dive into the latest data science and AI trends, tools, and techniques, from LLMs to data analytics and from machine learning to responsible AI. Interested in attending an ODSC event?

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Pickl AI

JUNE 29, 2023

Data Analysis is significant as it helps accurately assess data that drive data-driven decisions. Different tools are available in the market that help in the process of analysis. It is a powerful and widely-used platform that revolutionises how organisations analyse and derive insights from their data.

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ODSC - Open Data Science

JANUARY 26, 2024

ODSC East is coming to Boston this April and bringing leading experts in everything from generative AI and LLMs to data analysis to the home of countless AI startups and MIT alike. You can also get data science training on-demand wherever you are with our Ai+ Training platform. Interested in attending an ODSC event?

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IBM Journey to AI blog

SEPTEMBER 4, 2024

Apache Kafka is an open-source , distributed streaming platform that allows developers to build real-time, event-driven applications. With Apache Kafka, developers can build applications that continuously use streaming data records and deliver real-time experiences to users.

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Pickl AI

DECEMBER 6, 2024

Skilled personnel are necessary for accurate Data Analysis. What is Pricing Analytics? Pricing Analytics is the practice of using Data Analysis techniques to determine the most effective pricing strategies for products or services. Executive alignment is crucial for successful pricing initiatives.

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ODSC - Open Data Science

FEBRUARY 6, 2024

You’ll see how it uses Retrieval Augmented Generation (RAG) to answer questions based on external data, as well as other tools for performing more specialized tasks to enrich the output of your LLM. You can also get data science training on-demand wherever you are with our Ai+ Training platform. Interested in attending an ODSC event?

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Heartbeat

OCTOBER 23, 2023

Image from "Big Data Analytics Methods" by Peter Ghavami Here are some critical contributions of data scientists and machine learning engineers in health informatics: Data Analysis and Visualization: Data scientists and machine learning engineers are skilled in analyzing large, complex healthcare datasets.

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Pickl AI

SEPTEMBER 18, 2024

Read More: How Airbnb Uses Big Data and Machine Learning to Offer World-Class Service Netflix’s Big Data Infrastructure Netflix’s data infrastructure is one of the most sophisticated globally, built primarily on cloud technology. petabytes of data.

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AWS Machine Learning Blog

MAY 10, 2023

Business analysts play a pivotal role in facilitating data-driven business decisions through activities such as the visualization of business metrics and the prediction of future events. Then they can create predictive dashboards with the data. For more information, see Getting started with Amazon QuickSight data analysis.

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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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Precisely

FEBRUARY 8, 2024

Identifiers, such as the PreciselyID , play a powerful role in data analysis and enrichment. It can help to simplify the multiple components of an address that vary by country, region, and language by consolidating an address into a simple code – providing easy access to a wealth of data and insights.

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Pickl AI

JULY 16, 2024

Understanding AIOps Think of AIOps as a multi-layered application of Big Data Analytics , AI, and ML specifically tailored for IT operations. Its primary goal is to automate routine tasks, identify patterns in IT data, and proactively address potential issues. This frees up IT staff to focus on more strategic initiatives.

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Pickl AI

JULY 20, 2023

Diagnostic Analytics Projects: Diagnostic analytics seeks to determine the reasons behind specific events or patterns observed in the data. It involves deeper analysis and investigation to identify the root causes of problems or successes. Root cause analysis is a typical diagnostic analytics task.

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Pickl AI

SEPTEMBER 24, 2024

This blog delves into how Uber utilises Data Analytics to enhance supply efficiency and service quality, exploring various aspects of its approach, technologies employed, case studies, challenges faced, and future directions. This proactive approach allows Uber to position drivers strategically before events begin.

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Pickl AI

SEPTEMBER 5, 2024

The Microsoft Certified: Azure Data Scientist Associate certification is highly recommended, as it focuses on the specific tools and techniques used within Azure. Additionally, enrolling in courses that cover Machine Learning, AI, and Data Analysis on Azure will further strengthen your expertise.

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Heartbeat

OCTOBER 25, 2023

The field demands a unique combination of computational skills and biological knowledge, making it a perfect match for individuals with a data science and machine learning background. e) Big Data Analytics: The exponential growth of biological data presents challenges in storing, processing, and analyzing large-scale datasets.

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Pickl AI

OCTOBER 18, 2023

Through this write-up, we are unfolding the new developments in the analytics field and some real-world sports analytics examples. Key Insights The global sports analytics market is expected to hit a market of $22 billion by 2030. In 2022, the on-field part of sports analytics ruled, making over 61.0%

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Precisely

FEBRUARY 8, 2024

Identifiers, such as the PreciselyID , play a powerful role in data analysis and enrichment. It can help to simplify the multiple components of an address that vary by country, region, and language by consolidating an address into a simple code – providing easy access to a wealth of data and insights.

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Pickl AI

OCTOBER 7, 2024

Climate Change Impacts Climate change is worsening water challenges in India by altering rainfall patterns and increasing extreme weather events like droughts and floods. Quality Monitoring AI can enhance water quality monitoring by analysing data from various sources in real-time.

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phData

AUGUST 11, 2023

Assistance Publique-Hôpitaux de Paris (AP-HP) uses these data analytics models to predict how many patients will visit them each month as outpatients and for emergency reasons. Data engineering in research helped to study vaccines better. Norway is also making use of big data analytics to keep track of national health trends.

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Mlearning.ai

JANUARY 26, 2023

In the most generic terms, every project starts with raw data, which comes from observations and measurements i.e. it is directly downloaded from instruments. It can be gradually “enriched” so the typical hierarchy of data is thus: Raw data ↓ Cleaned data ↓ Analysis-ready data ↓ Decision-ready data ↓ Decisions.

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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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