Analytics Vidhya

DECEMBER 10, 2021

The post Top Data Science Guest Authors of 2021 appeared first on Analytics Vidhya. From the latest developments to guiding people through the thorns of career, Analytics Vidhya has it all in its blog archives. And this would not have been possible without leveraging the power of the […].

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KDnuggets

DECEMBER 9, 2019

As we say goodbye to one year and look forward to another, KDnuggets has once again solicited opinions from numerous research & technology experts as to the most important developments of 2019 and their 2020 key trend predictions.

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Dataconomy

JANUARY 9, 2020

From wild speculation that flying cars will become the norm to robots that will be able to tend to our every need, there is lots of buzz about how AI, Machine Learning, and Deep Learning will change our lives. The post 2020: The Decade of Intelligent, Democratized Data appeared first on Dataconomy.

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KDnuggets

DECEMBER 11, 2019

AI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments and Key Trends; Down with technical debt! Clean #Python for #DataScientists; Calculate Similarity?-?the the most relevant Metrics in a Nutshell.

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Data Science 101

JANUARY 24, 2020

It was an exciting cloud data science week. Microsoft DP-100 Certification Updated – The Microsoft Data Scientist certification exam has been updated to cover the latest Azure Machine Learning tools. Courses/Learning. The post Cloud Data Science 4 appeared first on Data Science 101.

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Data Science 101

JANUARY 31, 2020

Welcome to Cloud Data Science 5. There were not as many announcements as last week in Cloud Data Science 4 , but quantity is not what is important. Train and Deploy models using notebooks and Kubernetes on Google Cloud How to use Kubeflow and Google Kubernetes Engine to deploy machine learning.

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KDnuggets

DECEMBER 16, 2019

Also: Plotnine: Python Alternative to ggplot2; AI, Analytics, Machine Learning, Data Science, Deep Learning Technology Main Developments in 2019 and Key Trends for 2020; Moving Predictive Maintenance from Theory to Practice; 10 Free Top Notch Machine Learning Courses; Math for Programmers!

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KDnuggets

JANUARY 22, 2020

5 Key Reasons Why Data Scientists Are Quitting their Jobs; My Pandas Cheat Sheet; Google Colab: Jupyter Lab on steroids (perfect for Deep Learning); Top 5 Must-have Data Science Skills.

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Data Science 101

FEBRUARY 29, 2020

Lots of announcements this week, so without delay, let’s get right to Cloud Data Science 9. Women in Data Science Livestream This is a conference with a ton a great speakers. The livestream is free and available on the Data Science 101 blog. The event is Monday, March 2, 2020 at 9am PST.

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Analytics Vidhya

JULY 23, 2020

Note: This article was originally published on May 29, 2017, and updated on July 24, 2020 Overview Neural Networks is one of the most. The post Understanding and coding Neural Networks From Scratch in Python and R appeared first on Analytics Vidhya.

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Applied Data Science

OCTOBER 25, 2021

How I learned to stop worrying and love the field This blog covers all the core themes to starting your career in data science: ? Based on current predictions (enabled by data science), this trend will continue, as more and more industries shift towards data-driven and automated solutions.

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Applied Data Science

AUGUST 2, 2021

This post is a bitesize walk-through of the 2021 Executive Guide to Data Science and AI  — a white paper packed with up-to-date advice for any CIO or CDO looking to deliver real value through data. Team Building the right data science team is complex. Download the free, unabridged version here.

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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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Data Science 101

DECEMBER 11, 2019

This weeks guest post comes from KDD (Knowledge Discovery and Data Mining). Every year they host an excellent and influential conference focusing on many areas of data science. Honestly, KDD has been promoting data science way before data science was even cool. 22-27, 2020. 22-27, 2020.

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NYU Center for Data Science

NOVEMBER 9, 2023

Yann LeCun is a renowned deep learning pioneer and one of the most important minds in AI, and over the past few years he has been developing a comprehensive theory of machine learning, centered around “energy-based models,” which he calls “the only way to formalize and understand all model types.”

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Data Science Dojo

MAY 27, 2024

A visual representation of discriminative AI – Source: Analytics Vidhya Discriminative modeling, often linked with supervised learning, works on categorizing existing data. This breakthrough has profound implications for drug development, as understanding protein structures can aid in designing more effective therapeutics.

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ODSC - Open Data Science

APRIL 17, 2023

Minor changes in the input data that are very apparent to human intelligence are not so for deep learning models. Deep learning is essentially matrix multiplication, which means even small perturbations in the coefficients can cause a significant change in the output.

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Heartbeat

AUGUST 1, 2023

A World of Computer Vision Outside of Deep Learning Photo by Museums Victoria on Unsplash IBM defines computer vision as “a field of artificial intelligence (AI) that enables computers and systems to derive meaningful information from digital images, videos and other visual inputs [1].”

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Heartbeat

MAY 23, 2023

As technology continues to improve exponentially, deep learning has emerged as a critical tool for enabling machines to make decisions and predictions based on large volumes of data. Edge computing may change how we think about deep learning. Standardizing model management can be tricky but there is a solution.

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Towards AI

AUGUST 25, 2023

Machine learning (ML) is a subset of AI that provides computer systems the ability to automatically learn and improve from experience without being explicitly programmed. Deep learning (DL) is a subset of machine learning that uses neural networks which have a structure similar to the human neural system.

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NYU Center for Data Science

SEPTEMBER 11, 2024

What sets Dr. Ho apart is her pioneering work in applying deep learning techniques to astrophysics. I’m excited to be part of CDS because it provides a unique environment where cutting-edge data science methods can be developed and applied to push the boundaries of science,” said Ho. “I

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Data Science Dojo

JUNE 26, 2023

In order to learn the nuances of language and to respond coherently and pertinently, deep learning algorithms are used along with a large amount of data. A prompt is given to GPT-3 and it produces very accurate human-like text output based on deep learning. AI chatbot ChatGPT is based on GPT-3.5,

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Applied Data Science

DECEMBER 23, 2022

In our review of 2019 we talked a lot about reinforcement learning and Generative Adversarial Networks (GANs), in 2020 we focused on Natural Language Processing (NLP) and algorithmic bias, in 202 1 Transformers stole the spotlight. It is not surprising that it has become a major application area for deep learning.

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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. ML² is more than just a research initiative. By Stephen Thomas

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Explosion

DECEMBER 30, 2020

While 2020 hasn’t been easy for anyone, at Explosion we’ve considered ourselves relatively fortunate in this most interesting year. Apr 26: Ines was also invited as a guest on the Chai Time Data Science podcast and talked about her NLP journey, spaCy and Prodigy, open-source development, and tattoos.

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Towards AI

JULY 20, 2023

medium.com Talking about PyTorch… Basic Tutorials An awesome introduction to PyTorch showing an end-to-end ML pipeline from loading your data all the way to saving a trained model, includes a Colab notebook: Learn the Basics – PyTorch Tutorials 1.8.0 LineFlow was designed to use in all deep learning… github.com Repo Cypher ?‍?

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Smart Data Collective

DECEMBER 9, 2021

This has had some tangible beneficial effects — the unemployment rate for accountants was 3% lower than the national average in 2020, no doubt due in some part to 85% of accounting firms being more likely to let employees work remotely, even after the pandemic. Deep learning has been especially useful for small business accounting.

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ODSC - Open Data Science

APRIL 3, 2023

Her main research interests are in machine learning for large-scale language understanding and text semantics. Examples are the ACL fellow award 2020 and the first Hessian LOEWE Distinguished Chair award (2,5 mil. Iryna is co-director of the NLP program within ELLIS, a European network of excellence in machine learning.

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ODSC - Open Data Science

MAY 25, 2023

His research is focused on software engineering for open source and data science, machine learning for structured learning tasks such as time series tasks, and robust empirical and statistical evaluation of algorithms in deployment. Subscribe to our weekly newsletter here and receive the latest news every Thursday.

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Data Science Blog

OCTOBER 20, 2024

Finally, Shapley value and Markov chain attribution can also be combined using an ensemble attribution model to further reduce the generalization error (Gaur & Bharti 2020). Langen H, Huber M (2023) How causal machine learning can leverage marketing strategies: Assessing and improving the performance of a coupon campaign.

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ODSC - Open Data Science

JULY 18, 2024

billion in sales in 2023, a steady climb since the COVID-19 dip in 2020, according to Statista Market Insights. 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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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. You can also get data science training on-demand wherever you are with our Ai+ Training platform.

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Dataconomy

AUGUST 22, 2024

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). Please tell our readers about your background and how you got into Data Science and Machine Learning? Hello Aleksandr.

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ODSC - Open Data Science

FEBRUARY 6, 2025

His deep technical expertise, backed by a Ph.D. in Physics from NYU, extends from AI modeling techniques to deep learning and time series forecasting. As the Head of AI and Data Science at Further, he is at the forefront of solving complex challenges where AI must be both powerful and trustworthy.

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Towards AI

JULY 20, 2023

This ongoing process straddles the intersection between evidence-based medicine, data science, and artificial intelligence (AI). New research has also begun looking at deep learning algorithms for automatic systematic reviews, According to van Dinter et al.

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ODSC - Open Data Science

SEPTEMBER 11, 2023

Model scale has become an absolutely essential aspect of modern deep learning practice. And if there’s one thing we’ve learned from our collaborations at UCSD and with our industry partners, it’s that deep learning jobs are never run in isolation. The resource demands of model training have shot through the roof.

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Data Science Dojo

AUGUST 16, 2023

Transformer models are a type of deep learning model that are used for natural language processing (NLP) tasks. They are able to learn long-range dependencies between words in a sentence, which makes them very powerful for tasks such as machine translation, text summarization, and question answering.

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