Data Science 101

MARCH 16, 2019

Recently updated, is the March 2019 Machine Learning Study Path. There is a livestream on Facebook, Sunday March 17 on the Math for Data Science Facebook page. It contains links and resources to learn Tensorflow and Scikit-Learn. If you are interested in details on the study path and how to best use the resources.

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Data Science 101

NOVEMBER 22, 2019

Here are this week’s news and announcements related to Cloud Data Science. Google is launching Explainable AI which quantifies the impact of the various factors of the data as well as the existing limitations. AWS Storage Day On November 20, 2019, Amazon held AWS Storage Day. Announcements.

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KDnuggets

NOVEMBER 6, 2019

My short answer is this: Yes, another AI Winter will be here if you don’t deploy more ML solutions. You and your Data Science teams are the last line of defense against the AI Winter. You need to solve five key challenges to keep the momentum up.

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KDnuggets

DECEMBER 11, 2019

We asked top experts: What were the main developments in AI, Data Science, Deep Learning, and Machine Learning Research in 2019, and what key trends do you expect in 2020?

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KDnuggets

JULY 31, 2019

How Netflix works: the (hugely simplified) complex stuff that happens every time; Top Certificates and Certifications in Analytics, Data Science, ML; Nothing but NumPy: Understanding &Creating Neural Networks with Computation.

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ODSC - Open Data Science

APRIL 28, 2023

Be sure to check out her talk, “ Power trusted AI/ML Outcomes with Data Integrity ,” there! Due to the tsunami of data available to organizations today, artificial intelligence (AI) and machine learning (ML) are increasingly important to businesses seeking competitive advantage through digital transformation.

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AWS Machine Learning Blog

MAY 10, 2023

Project Jupyter is a multi-stakeholder, open-source project that builds applications, open standards, and tools for data science, machine learning (ML), and computational science. Given the importance of Jupyter to data scientists and ML developers, AWS is an active sponsor and contributor to Project Jupyter.

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KDnuggets

OCTOBER 16, 2019

Also: Kannada-MNIST: A new handwritten digits dataset in ML town; Math for Programmers; The 4 Quadrants of Data Science Skills and 7 Principles for Creating a Viral Data Visualization; The Last SQL Guide for Data Analysis You’ll Ever Need.

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KDnuggets

SEPTEMBER 25, 2019

Python Libraries for Interpretable Machine Learning; Scikit-Learn: A silver bullet for basic machine learning; I wasn't getting hired as a Data Scientist. So I sought data on who is; Which Data Science Skills are core and which are hot/emerging ones?

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AWS Machine Learning Blog

DECEMBER 1, 2023

Launched in 2019, Amazon SageMaker Studio provides one place for all end-to-end machine learning (ML) workflows, from data preparation, building and experimentation, training, hosting, and monitoring. About the Authors Mair Hasco is an AI/ML Specialist for Amazon SageMaker Studio. Get started on SageMaker Studio here.

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NYU Center for Data Science

MARCH 15, 2023

The NYU AI School grew from a 3-day workshop that took place in October 2019, with the first week-long event launched in February 2021. The program is organized by students from NYU Data Science, Courant Institute, and other departments. Unlike many other events, no programming experience is required to attend.

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ODSC - Open Data Science

FEBRUARY 17, 2023

The chart below shows 20 in-demand skills that encompass both NLP fundamentals and broader data science expertise. In a change from last year, there’s also a higher demand for those with data analysis skills as well. Having mastery of these two will prove that you know data science and in turn, NLP.

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ODSC - Open Data Science

SEPTEMBER 21, 2023

Secondly, to be a successful ML engineer in the real world, you cannot just understand the technology; you must understand the business. Some typical examples are given in the following table, along with some discussion as to whether or not ML would be an appropriate tool for solving the problem: Figure 1.1:

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AWS Machine Learning Blog

APRIL 9, 2024

The correct response for this query is “Amazon’s annual revenue increased from $245B in 2019 to $434B in 2022,” based on the documents in the knowledge base. The generated response is “Amazon’s annual revenue increase from $245B in 2019 to $434B in 2022.” We ask “What was the Amazon’s revenue in 2019 and 2021?”

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AWS Machine Learning Blog

DECEMBER 7, 2023

Amazon Forecast is a fully managed service that uses machine learning (ML) algorithms to deliver highly accurate time series forecasts. Initially, daily forecasts for each country are formulated through ML models. He joined Getir in 2019 and currently works as a Senior Data Science & Analytics Manager.

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AWS Machine Learning Blog

DECEMBER 4, 2023

We capitalized on the powerful tools provided by AWS to tackle this challenge and effectively navigate the complex field of machine learning (ML) and predictive analytics. SageMaker is a fully managed ML service. Overview of solution Five people from Getir’s data science team and infrastructure team worked together on this project.

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ODSC - Open Data Science

APRIL 10, 2023

There are countless blockers that may keep you from getting your ML projects off the ground, including: The time required to understand and stitch together a fragmented ecosystem of low-level, ML-specific packages. The need for data science expertise to implement modeling strategies that produce useful results.

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DataSeries

OCTOBER 13, 2024

A career in data science is highly in demand for skilled professionals. There has been growing speculation that by 2030, the role of traditional data scientists might face a significant decline or transformation. This prediction is driven by advancements in technology, automation, and shifts in how businesses utilize data.

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The MLOps Blog

MARCH 20, 2023

Long-term ML project involves developing and sustaining applications or systems that leverage machine learning models, algorithms, and techniques. An example of a long-term ML project will be a bank fraud detection system powered by ML models and algorithms for pattern recognition. 2 Ensuring and maintaining high-quality data.

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AWS Machine Learning Blog

APRIL 29, 2024

For AWS and Outerbounds customers, the goal is to build a differentiated machine learning and artificial intelligence (ML/AI) system and reliably improve it over time. Second, open source Metaflow provides the necessary software infrastructure to build production-grade ML/AI systems in a developer-friendly manner.

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AWS Machine Learning Blog

AUGUST 7, 2023

AWS ProServe solved this use case through a joint effort between the Generative AI Innovation Center (GAIIC) and the ProServe ML Delivery Team (MLDT). AWS received about 100 samples of labeled data from the customer, which is a lot less than the 1,000 samples recommended for fine-tuning an LLM in the data science community.

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AWS Machine Learning Blog

SEPTEMBER 10, 2024

As part of its goal to help people live longer, healthier lives, Genomics England is interested in facilitating more accurate identification of cancer subtypes and severity, using machine learning (ML). We provide insights on interpretability, robustness, and best practices of architecting complex ML workflows on AWS with Amazon SageMaker.

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AWS Machine Learning Blog

MAY 15, 2023

Getir used Amazon Forecast , a fully managed service that uses machine learning (ML) algorithms to deliver highly accurate time series forecasts, to increase revenue by four percent and reduce waste cost by 50 percent. Solution overview Six people from Getir’s data science team and infrastructure team worked together on this project.

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Mlearning.ai

FEBRUARY 25, 2023

Saving graph to a file format in Google Colaboratory (Image by author) Key takeaways Data visualization is one of the most important stages of the data science lifecycle. There are various tools that can help us create data visualizations, such as Matplotlib. Thank you for reading my article hopefully it can be useful.

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AWS Machine Learning Blog

JULY 3, 2024

For this purpose, we use Amazon Textract, a machine learning (ML) service for entity recognition and extraction. Once the input data is processed, it is sent to the LLM as contextual information through API calls. 2019 Apr;179(4):561-569. Epub 2019 Jan 31. Am J Med Genet A. doi: 10.1002/ajmg.a.61055. Int J Nurs Stud.

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ODSC - Open Data Science

AUGUST 26, 2024

Learn about cutting-edge developments in AI and data science from the experts who know them best on ODSC’s Ai X Podcast. Originally posted on OpenDataScience.com Read more data science articles on OpenDataScience.com , including tutorials and guides from beginner to advanced levels!

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AWS Machine Learning Blog

FEBRUARY 29, 2024

We are actively working on extending our methods to additional domains, such as computer vision, but be aware that our efficiency improvements do not translate to all ML domains at this time. Graviton Technical Guide is a good resource to consider while evaluating your ML workloads to run on Graviton.

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AWS Machine Learning Blog

APRIL 19, 2024

As per the AI/ML flywheel, what do the AWS AI/ML services provide? Based on the summary, the AWS AI/ML services provide a range of capabilities that fuel an AI/ML flywheel. According to the information provided in the summary, GPT-3 from 2020 had 175B (175 billion) parameters, while GPT-2 from 2019 had 1.5B (1.5

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The MLOps Blog

AUGUST 3, 2023

This article was originally an episode of the ML Platform Podcast , a show where Piotr Niedźwiedź and Aurimas Griciūnas, together with ML platform professionals, discuss design choices, best practices, example tool stacks, and real-world learnings from some of the best ML platform professionals. Stefan: Back in 2019.

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AWS Machine Learning Blog

DECEMBER 12, 2023

In this post, we’ll summarize training procedure of GPT NeoX on AWS Trainium , a purpose-built machine learning (ML) accelerator optimized for deep learning training. To get started with managed AWS Trainium on Amazon SageMaker , see Train your ML Models with AWS Trainium and Amazon SageMaker. Dr. Huan works on AI and Data Science.

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DagsHub

DECEMBER 11, 2023

The following points illustrates some of the main reasons why data versioning is crucial to the success of any data science and machine learning project: Storage space One of the reasons of versioning data is to be able to keep track of multiple versions of the same data which obviously need to be stored as well.

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AWS Machine Learning Blog

FEBRUARY 10, 2023

Through a collaboration between the Next Gen Stats team and the Amazon ML Solutions Lab , we have developed the machine learning (ML)-powered stat of coverage classification that accurately identifies the defense coverage scheme based on the player tracking data. Advances in neural information processing systems 32 (2019).

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AWS Machine Learning Blog

SEPTEMBER 28, 2023

In addition, AWS developed an open-source software package, AutoGluon , which supports diverse ML tasks, including those in the time series domain. Real-world data is more complicated than can be expressed with an average or a straight regression line estimate. in Data Science. Trapero, J. Cardós, M., & Whitin, T.

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DataRobot

AUGUST 5, 2021

In 2019, Utah struck a deal with Banjo, a threat detection firm selling AI services to process live traffic feeds, dispatch logs, and other data. Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making.”. Too many data science failures have been due to ignorance of the potential points of failure.

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Data Science 101

NOVEMBER 14, 2019

Last week at Microsoft Ignite 2019, Microsoft Research announced the release of Project Silica. This is an amazing new technology to store data on a piece of glass. In addition, “There are about 8 tracks which have well-known data written in them. “ –Ant Rowstron on how data is read from Project Silica.

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DataRobot

JUNE 2, 2021

DataRobot has led the democratization of data science with AutoML that allows both data scientists and non-technical domain experts to participate in the data science process. In 2019, it acquired ParallelM, the leader in machine learning operations. DataRobot Continues Investment in MLOps and New Features.

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Snorkel AI

MAY 24, 2023

The Future of Data-centric AI virtual conference will bring together a star-studded lineup of expert speakers from across the machine learning, artificial intelligence, and data science field. chief data scientist, a role he held under President Barack Obama from 2015 to 2017. Patil served as the first U.S.

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