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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KDnuggets

OCTOBER 4, 2019

Find out what was presented at the 6th annual Deep Learning Summit in London where industry leaders, academics, researchers, and innovative startups presenting the latest technological advancements and industry application methods in the field of deep learning.

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KDnuggets

AUGUST 29, 2019

With the pervasive important of NLP in so many of today's applications of deep learning, find out how advanced translation techniques can be further enhanced by transformers and attention mechanisms.

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KDnuggets

OCTOBER 3, 2019

You won’t want to miss the opportunity to learn about the future of deep learning first-hand at ODSC West in San Francisco, Oct 29 - Nov 1. So don’t forget to register soon for 20% off.

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Deep Learning 63

KDnuggets

AUGUST 7, 2019

Learn about Artificial Neural Networks, Deep Learning, Recurrent Neural Networks and LSTMs like never before and use NLP to build a Chatbot!

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KDnuggets

NOVEMBER 29, 2019

Where does Java stand in the world of artificial intelligence, machine learning, and deep learning? Learn more about how to do these things in Java, and the libraries and frameworks to use.

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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?

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KDnuggets

NOVEMBER 12, 2019

In this guide, we’ll look at papers aimed at solving the problems of depth estimation using deep learning.

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Deep Learning 95

KDnuggets

AUGUST 1, 2019

By mixing simple concepts of object-oriented programming, like functionalization and class inheritance, you can add immense value to a deep learning prototyping code.

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KDnuggets

NOVEMBER 4, 2019

The new release of PyTorch includes some impressive open source projects for deep learning researchers and developers.

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KDnuggets

NOVEMBER 20, 2019

In this blog I will be demonstrating how deep learning can be applied even if we don’t have enough data.

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Cloudera

MARCH 13, 2019

A Data Scientist : Organizations who show how they improved analytics, delivered new actionable intelligence, or designed systems for distributed deep learning and artificial intelligence to the organization’s business and customers. Stay tuned for March 19, 2019 as the winners are unveiled at the Luminaries dinner in Barcelona.

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KDnuggets

OCTOBER 15, 2019

In this research guide, we’ll look at deep learning papers aimed at synthesizing video frames within an existing video.

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Deep Learning 80

KDnuggets

SEPTEMBER 30, 2019

Also: 12 Deep Learning Researchers and Leaders; Natural Language in Python using spaCy: An Introduction; A Single Function to Streamline Image Classification with Keras; Which Data Science Skills are core and which are hot/emerging ones?; 6 bits of advice for Data Scientists.

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KDnuggets

SEPTEMBER 24, 2019

In this article, we’ll look at a couple of papers aimed at solving the problem of automated speech recognition with machine and deep learning.

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Deep Learning 103

KDnuggets

AUGUST 1, 2019

Getting trained neural networks to be deployed in applications and services can pose challenges for infrastructure managers. Challenges like multiple frameworks, underutilized infrastructure and lack of standard implementations can even cause AI projects to fail. This blog explores how to navigate these challenges.

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KDnuggets

DECEMBER 27, 2019

This post outlines an attack plan for fighting overfitting in neural networks.

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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

AUGUST 2, 2019

This cheatsheet should be easier to digest than the official documentation and should be a transitional tool to get students and beginners to get started reading documentations soon.

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KDnuggets

AUGUST 19, 2019

Learn how to use Keras to build a Recurrent Neural Network and create a Chatbot! Who doesn’t like a friendly-robotic personal assistant?

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KDnuggets

AUGUST 14, 2019

Deep Learning Cheat Sheets; 12 NLP Researchers, Practitioners & Innovators You Should Be Following; Knowing Your Neighbours: Machine Learning on Graphs.

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KDnuggets

NOVEMBER 19, 2019

Find out how data scientists and AI practitioners can use a machine learning experimentation platform like Comet.ml to apply machine learning and deep learning to methods in the domain of audio analysis.

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Advancing Analytics: Data Engineering

MARCH 5, 2019

applied Databricks The Friday saw Terry deliver a session on using Deep Learning to generate new sessions for SQLBits. I am in the process of curating those questions in to a blog (there are 70 questions, so it might take a few days). If you want to find out more about that training course you can find out below.

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KDnuggets

OCTOBER 10, 2019

We illustrate how to show the activation maps of various layers in a deep CNN model with just a couple of lines of code.

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KDnuggets

AUGUST 26, 2019

Over the past few years, artificial intelligence continues to be one of the hottest topics. And in order to work effectively with it, you need to understand its constituent parts.

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Monte Carlo

OCTOBER 11, 2023

For Google, however, AI has deep roots both in research and its product portfolio. Since 2019, Eli has played a critical role in the productization of several of Google’s most important products, and in early 2023, he took the helm alongside VP of Research Zoubin Ghahramani as the co-leader of Google DeepMind.

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KDnuggets

SEPTEMBER 16, 2019

How to turn a typical pytorch script into a scalable d6tflow DAG for faster research & development.

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Deep Learning Python 87

KDnuggets

SEPTEMBER 4, 2019

This week: Object-oriented programming for data scientists; Deep Learning Next Step: Transformers and Attention Mechanism; R Users' Salaries from the 2019 Stackoverflow Survey; Types of Bias in Machine Learning; 4 Tips for Advanced Feature Engineering and Preprocessing; and much more!

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Programming Deep Learning Data Science Machine Learning 56

Knowledge Hut

JANUARY 18, 2024

Data Scientists, also touted as the "sexiest job of the 21st century", have seen job postings for it rise by 256% over the year 2019. It is an interdisciplinary science with multiple approaches, and advancements in Machine Learning and deep learning are creating a paradigm shift in many sectors of the IT industry across the globe.

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U-Next

FEBRUARY 26, 2023

Today it’s one of the largest internet companies in the world, with annual revenue of over $160 billion (2019). Google has an entire division devoted to AI and Machine Learning: Google Brain. Alteryx has been profitable since 2010, and as of March 2019, its market cap was $1 billion. Average Salary per annum: INR 34.2

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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

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

SEPTEMBER 2, 2019

Also: Types of Bias in Machine Learning; Deep Learning Next Step: Transformers and Attention Mechanism; New Poll: Data Science Skills; R Users Salaries from the 2019 Stackoverflow Survey; How to Sell Your Boss on the Need for Data Analytics.

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Deep Learning Programming Machine Learning Data Science 45

KDnuggets

DECEMBER 16, 2019

It is an annual tradition for Xavier Amatriain to write a year-end retrospective of advances in AI/ML, and this year is no different. Gain an understanding of the important developments of the past year, as well as insights into what expect in 2020.

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U-Next

SEPTEMBER 13, 2022

The fundamental building blocks of Data Science are Statistics, Machine Learning, Computer Science, Data Analysis, Deep Learning, and Data Visualization. . billion in 2019 to $230.80 Top Data Science & Machine Learning Interview Question . Deep learning: What is it? billion by 2026.

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LinkedIn Engineering

OCTOBER 19, 2023

By 2019, Apache Beam pipelines were powering several critical use cases, and the programming model and framework saw extensive adoption across LinkedIn teams. Xinyu Liu showcased the benefits of migrating to Apache Beam pipelines during Beam Summit Europe 2019.

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Netflix Tech

NOVEMBER 13, 2023

A voice actor in the studio Our Approach to Speech and Music Activity Detection Although the application of deep learning methods has improved audio classification systems in recent years, this data driven approach for SMAD requires large amounts of audio source material with audio-frame level speech and music activity labels.

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