KDnuggets

DECEMBER 18, 2019

Build Pipelines with Pandas Using pdpipe; AI, Analytics, ML, DS, Technology Main Developments, Key Trends; New Poll: Does AutoML work? Ultralearn Data Science; Python Dictionary How-To; Top stories of 2019 and more.

ML 133

ML ML Analytics Analytics 133

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?

Machine Learning 119

Machine Learning Machine Learning Deep Learning Deep Learning 119

KDnuggets

MARCH 13, 2020

After spending a lot of time thinking about the paths that software companies take toward ML maturity, this framework was created to follow as you adopt ML and then mature as an organization.

Machine Learning 319

Machine Learning Machine Learning ML ML 319

Data Science 101

JANUARY 10, 2020

2020 is now in full swing and the announcements are starting to show up. Google Releases a tool for Automated Exploratory Data Analysis Exploring data is one of the first activities a data scientist performs after getting access to the data. It focuses on using AWS products to solve data science problems.

Data Science 78

Data Science Power BI Cloud Data Exploratory Data Analysis 78

NYU Center for Data Science

SEPTEMBER 28, 2023

Building on this momentum is a dynamic research group at the heart of CDS called the Machine Learning and Language (ML²) group. By 2020, ML² was a thriving community, primarily known for its recurring speaker series where researchers presented their work to peers. What does it mean to work in NLP in the age of LLMs?

Machine Learning 98

Machine Learning Machine Learning ML ML 98

IBM Data Science in Practice

MARCH 8, 2023

The growth of the AI and Machine Learning (ML) industry has continued to grow at a rapid rate over recent years. Hidden Technical Debt in Machine Learning Systems More money, more problems — Rise of too many ML tools 2012 vs 2023 — Source: Matt Turck People often believe that money is the solution to a problem.

Machine Learning 264

Machine Learning Machine Learning ML ML 264

ODSC - Open Data Science

APRIL 17, 2023

Source Purpose of Using DevSecOps in Traditional and ML Applications The DevSecOps practices are different in traditional and ML applications as each comes with different challenges. The characteristics which we saw for DevSecOps for traditional applications also apply to ML-based applications.

Data Science 97

Data Science ML ML Deep Learning 97

Data Science Dojo

FEBRUARY 6, 2025

A critical component in the success of LLMs is data annotation, a process that ensures the data fed into these models is accurate, relevant, and meaningful. billion in 2020 to $4.1 This indicates the increased demand for high-quality annotated data sources to ensure LLMs generate accurate and relevant results.

AI 235

AI AI ML ML 235

Dataconomy

AUGUST 22, 2024

Aleksandr Timashov is an ML Engineer with over a decade of experience in AI and Machine Learning. In this interview, Aleksandr shares his unique experiences of leading groundbreaking projects in Computer Vision and Data Science at the Petronas global energy group (Malaysia). Hello Aleksandr. And did you achieve these goals?

ML 91

ML ML Machine Learning Machine Learning 91

The MLOps Blog

DECEMBER 28, 2022

The onset of the pandemic has triggered a rapid increase in the demand and adoption of ML technology. Building ML team Following the surge in ML use cases that have the potential to transform business, the leaders are making a significant investment in ML collaboration, building teams that can deliver the promise of machine learning.

ML 78

ML ML Data Scientist Machine Learning 78

Towards AI

AUGUST 25, 2023

As a reminder, I highly recommend that you refer to more than one resource (other than documentation) when learning ML, preferably a textbook geared toward your learning level (beginner/intermediate / advanced). In ML, there are a variety of algorithms that can help solve problems. 16, 2020. [4] 12, 2021. [6]

Machine Learning 98

Machine Learning Machine Learning AI AI 98

IBM Journey to AI blog

AUGUST 12, 2024

Wearable devices (such as fitness trackers, smart watches and smart rings) alone generated roughly 28 petabytes (28 billion megabytes) of data daily in 2020. And in 2024, global daily data generation surpassed 402 million terabytes (or 402 quintillion bytes). ML technologies help computers achieve artificial intelligence.

Big Data 106

Big Data Big Data ML ML 106

ODSC - Open Data Science

FEBRUARY 9, 2023

However, in all cases the data scientist must develop strong domain empathy to help define and solve the right problems. Nina Zumel and John Mount, Practical Data Science with R, 2nd Ed. That responsibility usually falls in the hands of a role called Machine Learning (ML) Engineer.

Data Scientist 105

Data Scientist Machine Learning Machine Learning ML 105

ODSC - Open Data Science

MAY 30, 2023

Be sure to check out his talk, “ ML Applications in Asset Allocation and Portfolio Management ,” there! For example, rising interest rates and falling equities already in 2013 and again in 2020 and 2022 led to drawdowns of risk parity schemes. Editor’s note: Peter Schwendner, PhD is a speaker for ODSC Europe this June.

ML 52

ML ML Data Science Machine Learning 52

DataRobot

FEBRUARY 22, 2021

DataRobot is excited to announce the graduation of the first class of our 10X Applied Data Science Academy. We started the 10x Academy in 2020 to address employers’ need for talent with strong applied automated AI skills and workers’ desire to upskill. Jumana Nadir e1606833919998 1 1024×1024 1.

Data Science 52

Data Science Data Scientist Citizen Data Scientist Data Analyst 52

ODSC - Open Data Science

FEBRUARY 20, 2023

As newer fields emerge within data science and the research is still hard to grasp, sometimes it’s best to talk to the experts and pioneers of the field. His research interests bridge the computational, statistical, cognitive, biological, and social sciences. Recently, we spoke with Michael I.

Machine Learning 96

Machine Learning Machine Learning Data Science Python 96

Mlearning.ai

MARCH 15, 2023

Data science has developed so much in the last three years that it is kind of funny now the views everyone had back in 2020. Truth is, data science is not made only by flashy models made by tech giants, or the new tech giants on the block, data science today can be applied to a vast variety of businesses in size, and field.

Data Science 52

Data Science Computer Science Computer Science ML 52

Console DevTools podcast

JULY 13, 2022

We discuss how ML and NLP work behind the scenes, how developers should think about applied NLP, the common languages and frameworks used to build ML and NLP applications, and the challenges that come with running them at scale. In 2020, Montani became a Fellow of the Python Software Foundation.

Data Science 40

Data Science Natural Language Processing Artificial Intelligence Artificial Intelligence 40

AWS Machine Learning Blog

JUNE 28, 2023

Because answering these questions requires understanding complex relationships between many different factors—often changing and dynamic—one powerful tool we have at our disposal is machine learning (ML), which can be deployed to analyze, predict, and solve these complex quantitative problems. So how do we remove these bottlenecks?

Machine Learning 102

Machine Learning Machine Learning ML ML 102

ODSC - Open Data Science

MAY 25, 2023

Build tuned auto-ML pipelines, with common interface to well-known libraries (scikit-learn, statsmodels, tsfresh, PyOD, fbprophet, and more!) sktime, the unified package for time series ML sktime supports many time series related learning tasks and objects! Classification? Annotation? Something else?

Machine Learning 98

Machine Learning Machine Learning Python Data Scientist 98

Flipboard

NOVEMBER 22, 2023

Full list of new or updated datasets This dataset joins 33 other new or updated datasets on the Registry of Open Data in four categories: climate and weather, geospatial, life sciences, and machine learning (ML). 94-171) Demonstration Noisy Measurement File from United States Census Bureau What are people doing with open data?

AWS 98

AWS Machine Learning Machine Learning ML 98

Smart Data Collective

APRIL 8, 2020

sThe recent years have seen a tremendous surge in data generation levels , characterized by the dramatic digital transformation occurring in myriad enterprises across the industrial landscape. The amount of data being generated globally is increasing at rapid rates. Big data and data warehousing.

Data Warehouse 144

Data Warehouse Big Data Big Data Big Data Analytics 144

AWS Machine Learning Blog

JANUARY 13, 2023

Although the volume of HCLS-generated data has never been greater, the challenges and constraints associated with accessing such data limits its utility for future research. We have developed an FL framework on AWS that enables analyzing distributed and sensitive health data in a privacy-preserving manner.

AWS 99

AWS Analytics Analytics Machine Learning 99

Towards AI

JULY 20, 2023

Natural Language Processing Getting desirable data out of published reports and clinical trials and into systematic literature reviews (SLRs) — a process known as data extraction — is just one of a series of incredibly time-consuming, repetitive, and potentially error-prone steps involved in creating SLRs and meta-analyses.

Natural Language Processing 96

Natural Language Processing ML ML Support Vector Machines 96

Snorkel AI

MAY 26, 2023

[link] Ahmad Khan, head of artificial intelligence and machine learning strategy at Snowflake gave a presentation entitled “Scalable SQL + Python ML Pipelines in the Cloud” about his company’s Snowpark service at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. Welcome everybody.

SQL 52

SQL ML ML Python 52

Snorkel AI

MAY 26, 2023

[link] Ahmad Khan, head of artificial intelligence and machine learning strategy at Snowflake gave a presentation entitled “Scalable SQL + Python ML Pipelines in the Cloud” about his company’s Snowpark service at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. Welcome everybody.

SQL 52

SQL ML ML Python 52

Applied Data Science

MARCH 11, 2022

Language is an abundant resource: petabytes of human-produced data on the internet have been put to use to train huge language models such as GPT-3 and Google BERT. Applied Data Science Partners is a London based consultancy that implements end-to-end data science solutions for businesses, delivering measurable value.

AI 130

AI AI Data Science Machine Learning 130

ODSC - Open Data Science

AUGUST 16, 2024

Learn about cutting-edge developments in AI and data science from the experts who know them best on ODSC’s Ai X Podcast. This episode is a previously recorded interview from early 2023 with one of computer science’s most influential pioneers, Michael I. You can listen on Spotify , Apple , and SoundCloud.To

Machine Learning 52

Machine Learning Machine Learning Data Science AI 52

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. Consider the point forecast discussed in the prior section. Letchford, A.

AWS 123

AWS ML ML Machine Learning 123

AWS Machine Learning Blog

MAY 23, 2023

The seeds of a machine learning (ML) paradigm shift have existed for decades, but with the ready availability of virtually infinite compute capacity, a massive proliferation of data, and the rapid advancement of ML technologies, customers across industries are rapidly adopting and using ML technologies to transform their businesses.

AWS 109

AWS AI AI ML 109

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

AWS 126

AWS ML ML Database 126

KDnuggets

JANUARY 2, 2020

In this use case, available to the public on GitHub, we’ll see how a data scientist, project manager, and business lead at a retail grocer can leverage automated machine learning and Azure Machine Learning service to reduce product overstock.

Machine Learning 312

Machine Learning Machine Learning Azure Data Scientist 312

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.

Machine Learning 98

Machine Learning Machine Learning Data Lakes Data Science 98

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. Data Scientist with 8+ years of experience in Data Science and Machine Learning. Mesko, B., &

AI 131

AI AI AWS Machine Learning 131

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. Each season consists of around 17,000 plays.

ML 90

ML ML Machine Learning Machine Learning 90

DataRobot

AUGUST 5, 2021

In a July 2020 interview with the New York Times , Musk expressed his opinion that London research lab DeepMind is a “top concern” when it comes to artificial intelligence. Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making.”. ” AI Doomsaying. Humans and AI Best Practices.

AI 98

AI AI Artificial Intelligence Artificial Intelligence 98

Smart Data Collective

JANUARY 27, 2022

Did you know that big data consumption increased 5,000% between 2010 and 2020 ? Big data technology is changing countless aspects of our lives. A growing number of careers are predicated on the use of data analytics, AI and similar technologies. This should come as no surprise. Programmer. 3D Printing Designer.

Big Data 135

Big Data Big Data Internet of Things Data Analyst 135