Analytics Vidhya

DECEMBER 22, 2019

Overview A comprehensive look at the top machine learning highlights from 2019, including an exhaustive dive into NLP frameworks Check out the machine learning. The post 2019 In-Review and Trends for 2020 – A Technical Overview of Machine Learning and Deep Learning!

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Analytics Vidhya

JANUARY 5, 2020

Introducing the Learning Path to become a Data Scientist in 2020! Learning paths are easily one of the most popular and in-demand resources we. The post Your Ultimate Learning Path to Become a Data Scientist and Machine Learning Expert in 2020 appeared first on Analytics Vidhya.

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Analytics Vidhya

FEBRUARY 18, 2020

Introduction to the rstudio::conf 2020! It was the first programming language I learned (thanks to my interest in data. The post 11 Powerful Talks from rstudio::conf 2020 you Must Watch – A Treat for R Users! I’m a heavy R user. appeared first on Analytics Vidhya.

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Analytics Vidhya

DECEMBER 15, 2020

Overview Here is a list of Top 15 Datasets for 2020 that we feel every data scientist should practice on The article contains 5. The post Top 15 Open-Source Datasets of 2020 that every Data Scientist Should add to their Portfolio! appeared first on Analytics Vidhya.

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Analytics Vidhya

MAY 4, 2020

Introduction I had the pleasure of volunteering for ICLR 2020 last week. ICLR, short for International Conference on Learning Representations, is one of the. The post Key Takeaways from ICLR 2020 (with a Case Study on PyTorch vs. TensorFlow) appeared first on Analytics Vidhya.

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KDnuggets

MARCH 19, 2020

Many cloud providers, and other third-party services, see the value of a Jupyter notebook environment which is why many companies now offer cloud hosted notebooks that are hosted on the cloud. Let's have a look at 3 such environments.

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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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Analytics Vidhya

DECEMBER 18, 2019

Overview Check out our pick of the 30 most challenging open-source data science projects you should try in 2020 We cover a broad range. The post 30 Challenging Open Source Data Science Projects to Ace in 2020 appeared first on Analytics Vidhya.

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KDnuggets

JANUARY 16, 2020

Visit Deep Learning World, 11-12 May in Munich, to broaden your knowledge, deepen your understanding and discuss your questions with other Deep Learning experts!

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Analytics Vidhya

JANUARY 8, 2020

Introduction There are an overwhelming number of resources out there these days to learn computer vision concepts. The post Here’s your Learning Path to Master Computer Vision in 2020 appeared first on Analytics Vidhya. How do you pick and choose from.

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KDnuggets

JANUARY 8, 2020

The standard job description for a Data Scientist has long highlighted skills in R, Python, SQL, and Machine Learning. With the field evolving, these core competencies are no longer enough to stay competitive in the job market.

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KDnuggets

JANUARY 21, 2020

This article will demonstrate explainability on the decisions made by LightGBM and Keras models in classifying a transaction for fraudulence, using two state of the art open source explainability techniques, LIME and SHAP.

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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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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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KDnuggets

JANUARY 13, 2020

The new technique can really improve how deep learning models are trained at scale.

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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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ML @ CMU

JANUARY 2, 2025

2020 ) to systematically quantify behavioral accuracy. Task We chose a naturalistic virtual navigation task (Figure 1) previously used to investigate the neural computations underlying animals flexible behaviors ( Lakshminarasimhan et al., Figure 5 We used a Receiver Operating Characteristic (ROC) analysis ( Lakshminarasimhan et al.,

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PyImageSearch

JANUARY 30, 2023

This last blog of the series will cover the benefits, applications, challenges, and tradeoffs of using deep learning in the education sector. To learn about Computer Vision and Deep Learning for Education, just keep reading. As soon as the system adapts to human wants, it automates the learning process accordingly.

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KDnuggets

JANUARY 20, 2020

The agenda for Deep Learning World 2020 in Las Vegas, May 31-Jun 4, has been released. Use code KDNUGGETS for a 15% discount on your ticket.

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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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KDnuggets

JANUARY 23, 2020

Visit Deep Learning World, 11-12 May in Munich, to broaden your knowledge, deepen your understanding and discuss your questions with other Deep Learning experts!

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Data Science 101

DECEMBER 11, 2019

They have opened a call for papers for the 2020 conference. KDD 2020 welcomes submissions on all aspects of knowledge discovery and data mining, from theoretical research on emerging topics to papers describing the design and implementation of systems for practical tasks. 22-27, 2020. 1989 to be exact. The details are below.

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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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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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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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PyImageSearch

DECEMBER 9, 2024

The next step for researchers was to use deep learning approaches such as NeRFs and 3D Gaussian Splatting, which have shown promising results in novel view synthesis, computer graphics, high-resolution image generation, and real-time rendering. In short, it’s a basic reconstruction. Or requires a degree in computer science?

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Hacker News

JULY 2, 2024

2020 Update: I’ve created a “Narrated Transformer” video which is a gentler approach to the topic: A High-Level Look Let’s begin by looking at the model as a single black box. Attention is a concept that helped improve the performance of neural machine translation applications.

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Data Science 101

JANUARY 31, 2020

AWS Deep Learning Containers get some updates The deep learning containers (Docker images for deep learning tasks) received some updates to ease integration with SageMaker and to add SageMaker Debugger. The first course in this series should be arriving in February 2020.

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insideBIGDATA

FEBRUARY 18, 2023

In 2020 and 2021, 98% of community banks offered mobile banking, yet new account openings dropped as much as 51% to 25% for community banks and credit unions. In this contributed article, Uday Akkaraju, CEO of BOND.AI, discusses how AI can help CFIs (community-based financial institutions) meet the needs of their consumers.

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Towards AI

JULY 21, 2023

Paper’s introduction Photo by Cris Ovalle on Unsplash ECCV 2020 Best Paper Award Goes to Princeton Team.They developed a new end-to-end trainable model for optical flow.Their method beats state-of-the-art architectures’ accuracy across multiple datasets and is way more efficient.

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Data Science 101

JANUARY 24, 2020

Amazon Launches AutoGluon – A new open-source library which brings deep learning for images, text and tabular data to all developers. Azure SDK January 2020 Updates – The SDK now includes preview support of the Text Analytics capabilities from Cognitive Services. Amazon SageMaker now supports Tensorflow 2.0

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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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Smart Data Collective

SEPTEMBER 30, 2021

Despite all the unexpected events we’ve witnessed in 2020, artificial intelligence wasn’t much affected by the pandemic and everything that was happening as a consequence of it across the globe. Quantum computing was huge in 2020, and even if you weren’t across this area, it was almost impossible to miss all those great updates in this field.

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Mlearning.ai

AUGUST 11, 2023

Introduction GPUs as main accelerators for deep learning training tasks suffer from under-utilization. Authors of AntMan [1] propose a deep learning infrastructure, which is a co-design of cluster schedulers (e.g., with deep learning frameworks (e.g., with deep learning frameworks (e.g.,

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KDnuggets

JANUARY 15, 2020

This year’s NEURIPS-2019 Vancouver conference recently concluded and featured a dozen papers on disentanglement in deep learning. What is this idea and why is it so interesting in machine learning? This summary of these papers will give you initial insight in disentanglement as well as ideas on what you can explore next.

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PyImageSearch

JANUARY 2, 2023

Figure 1: Global Funding in Health Tech Companies (source: Mrazek and O’Neill, 2020 ). This blog will cover the benefits, applications, challenges, and tradeoffs of using deep learning in healthcare. This series is about CV and DL for Industrial and Big Business Applications.

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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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