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.

Deep Learning 158

Deep Learning Deep Learning Data Science Data Scientist 158

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.

Deep Learning 307

Deep Learning Deep Learning Python 307

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.

Deep Learning 306

Deep Learning Deep Learning Python 306

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.

Deep Learning 136

Deep Learning Deep Learning Machine Learning Machine Learning 136

Analytics Vidhya

JUNE 30, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon COVID-19 COVID-19 (coronavirus disease 2019) is a disease that causes respiratory. The post How to Detect COVID-19 Cough From Mel Spectrogram Using Convolutional Neural Network appeared first on Analytics Vidhya.

Data Science 400

Data Science Analytics Analytics Deep Learning 400

KDnuggets

SEPTEMBER 16, 2019

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

Deep Learning 240

Deep Learning Deep Learning Python 240

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!

Machine Learning 130

Machine Learning Machine Learning Data Science Deep Learning 130

KDnuggets

OCTOBER 24, 2019

See how Deep Learning can help in solving one of the most commonly diagnosed cancer in women.

Deep Learning 263

Deep Learning Deep Learning Python 263

KDnuggets

NOVEMBER 29, 2019

PyTorch Lightning is a lightweight framework which allows anyone using PyTorch to scale deep learning code easily while making it reproducible. In this tutorial we’ll use Huggingface's implementation of BERT to do a finetuning task in Lightning.

Deep Learning 284

Deep Learning Deep Learning Python 284

Data Science 101

APRIL 29, 2019

Here is the latest data science news for the week of April 29, 2019. From Data Science 101. The Go Programming Language for Data Science Quick Video Tutorial for Find Updates in Azure Two-Minute Papers, One Pixel attack on NN. General Data Science.

Data Science 81

Data Science Deep Learning Deep Learning Azure 81

KDnuggets

AUGUST 26, 2019

Also: Deep Learning for NLP: Creating a Chatbot with Keras!; Understanding Decision Trees for Classification in Python; How to Become More Marketable as a Data Scientist; Is Kaggle Learn a Faster Data Science Education?

Data Scientist 126

Data Scientist Decision Trees Deep Learning Deep Learning 126

KDnuggets

OCTOBER 14, 2019

Also: Activation maps for deep learning models in a few lines of code; The 4 Quadrants of Data Science Skills and 7 Principles for Creating a Viral Data Visualization; OpenAI Tried to Train AI Agents to Play Hide-And-Seek but Instead They Were Shocked by What They Learned; 10 Great Python Resources for Aspiring Data Scientists.

Natural Language Processing 131

Natural Language Processing Deep Learning Deep Learning Data Analysis 131

KDnuggets

NOVEMBER 13, 2019

On KDnuggets this week: Orchestrating Dynamic Reports in Python and R with Rmd Files; How to Create a Vocabulary for NLP Tasks in Python; What is Data Science?; The Complete Data Science LinkedIn Profile Guide; Set Operations Applied to Pandas DataFrames; and much, much more.

Data Science 135

Data Science Python Deep Learning Deep Learning 135

Heartbeat

NOVEMBER 29, 2023

Two names stand out prominently in the wide realm of deep learning: TensorFlow and PyTorch. These strong frameworks have changed the field, allowing researchers and practitioners to create and deploy cutting-edge machine learning models. TensorFlow and PyTorch present distinct routes to traverse.

Deep Learning 59

Deep Learning Deep Learning Machine Learning Machine Learning 59

AWS Machine Learning Blog

APRIL 7, 2025

Discover Llama 4 models in SageMaker JumpStart SageMaker JumpStart provides FMs through two primary interfaces: SageMaker Studio and the Amazon SageMaker Python SDK. Alternatively, you can use the SageMaker Python SDK to programmatically access and use SageMaker JumpStart models.

AWS 115

AWS Machine Learning Machine Learning AI 115

ODSC - Open Data Science

FEBRUARY 17, 2023

Developing NLP tools isn’t so straightforward, and requires a lot of background knowledge in machine & deep learning, among others. Machine & Deep Learning Machine learning is the fundamental data science skillset, and deep learning is the foundation for NLP.

Deep Learning 111

Deep Learning Deep Learning Data Science Natural Language Processing 111

AWS Machine Learning Blog

APRIL 19, 2023

The DJL is a deep learning framework built from the ground up to support users of Java and JVM languages like Scala, Kotlin, and Clojure. With the DJL, integrating this deep learning is simple. Our data scientists train the model in Python using tools like PyTorch and save the model as PyTorch scripts.

ML 98

ML ML Deep Learning Deep Learning 98

AWS Machine Learning Blog

OCTOBER 5, 2023

For example, to use the RedPajama dataset, use the following command: wget [link] python nemo/scripts/nlp_language_modeling/preprocess_data_for_megatron.py He focuses on developing scalable machine learning algorithms. an AI start-up, and worked as the CEO and Chief Scientist in 2019–2021. He founded StylingAI Inc.,

AWS 126

AWS Machine Learning Machine Learning Deep Learning 126

AWS Machine Learning Blog

APRIL 29, 2024

It provides an approachable, robust Python API for the full infrastructure stack of ML/AI, from data and compute to workflows and observability. Now, with today’s announcement, you have another straightforward compute option for workflows that need to train or fine-tune demanding deep learning models: running them on Trainium.

AWS 125

AWS ML ML Python 125

KDnuggets

NOVEMBER 28, 2019

Open source is becoming the standard for sharing and improving technology. Some of the largest organizations in the world namely: Google, Facebook and Uber are open sourcing their own technologies that they use in their workflow to the public.

Data Science 400

Data Science AI AI Data Scientist 400

KDnuggets

DECEMBER 6, 2019

Are you interested in studying machine learning over the holidays? This collection of 10 free top notch courses will allow you to do just that, with something for every approach to improving your machine learning skills.

Machine Learning 397

Machine Learning Machine Learning Deep Learning Deep Learning 397

PyImageSearch

FEBRUARY 3, 2025

Gradio is an open-source Python library that empowers developers to build interactive web interfaces for their machine learning models, APIs, or any Python functions with ease. In essence, Gradio serves as a bridge between complex machine learning models and the non-technical users who can benefit from them.

Machine Learning 72

Machine Learning Machine Learning Python Deep Learning 72

Towards AI

APRIL 19, 2024

Intelligent Medical Objects 👉Industry domain: AI, Health Tech, IT, NLP, Software, Analytics, Generative AI 👉Location: 3 offices 👉Year founded: 1994 👉Programming languages deployed: Angular, C#, SQL, Scikit, TensorFlow, Spark, GitHub, R, Python 👉Benefits: Flexible time off, family medical leave, pet insurance, (..)

AI 110

AI AI Artificial Intelligence Artificial Intelligence 110

ODSC - Open Data Science

JUNE 5, 2023

Be sure to check out his talk, “ Space Science with Python — Enabling Citizen Scientists ,” there! Thankfully, as enthusiastic coders, we have THE major astronomy and space science tool to work on all these data, theories, and insights: Python ! You can find them here: [link] [link] Additionally, we need a (virtual) Python environment.

Python 85

Python Machine Learning Machine Learning Data Science 85

AWS Machine Learning Blog

MAY 10, 2023

Today, we are excited to announce that JupyterLab users can install and use the CodeWhisperer extension for free to generate real-time, single-line, or full-function code suggestions for Python notebooks in JupyterLab and Amazon SageMaker Studio. In 2016, he co-created the Altair package for statistical visualization in Python.

ML 104

ML ML AWS AI 104

KDnuggets

SEPTEMBER 17, 2019

We identify two main groups of Data Science skills: A: 13 core, stable skills that most respondents have and B: a group of hot, emerging skills that most do not have (yet) but want to add. See our detailed analysis.

Data Science 308

Data Science Data Visualization Deep Learning Deep Learning 308

KDnuggets

JULY 30, 2019

Data Scientists need computing power. Whether you’re processing a big dataset with Pandas or running some computation on a massive matrix with Numpy, you’ll need a powerful machine to get the job done in a reasonable amount of time.

Data Science 293

Data Science Data Scientist Big Data Big Data 293

Mlearning.ai

JUNE 14, 2023

Learning LLMs (Foundational Models) Base Knowledge / Concepts: What is AI, ML and NLP Introduction to ML and AI — MFML Part 1 — YouTube What is NLP (Natural Language Processing)? — YouTube Deploy LLMs in production Deploy Model Azure —  Use endpoints for inference — Azure Machine Learning | Microsoft Learn AWS + Huggingface —  Exporting ?

Natural Language Processing 52

Natural Language Processing ML ML Support Vector Machines 52

Smart Data Collective

OCTOBER 14, 2019

Ludwig is a tool that allows people to build data-based deep learning models to make predictions. In September 2019, Google decided to make it’s Differential Privacy Library available as an open-source tool. Plotly Python Open Source Graphing Library. Here are some open-source options to consider.

Data Science 93

Data Science SQL Big Data Big Data 93

Heartbeat

OCTOBER 10, 2023

It was developed by Facebook AI Research and released in 2019. Interpretability: Like many other deep learning models, RoBERTa is frequently referred to as a “black box.” Overfitting: RoBERTa, like any deep learning model, is prone to overfitting. It is a state-of-the-art model for a variety of NLP tasks.

Machine Learning 52

Machine Learning Machine Learning Deep Learning Deep Learning 52

AWS Machine Learning Blog

JUNE 13, 2023

The first generation of AWS Inferentia, a purpose-built accelerator launched in 2019, is optimized to accelerate deep learning inference. and Hugging Face transformers (v4.7.0), the main libraries used in this experiment, ran on Python 3.8. With AWS Inferentia1, customers saw up to 2.3x PyTorch (1.13.1)

AWS 98

AWS ML ML Deep Learning 98

Mlearning.ai

MARCH 9, 2023

Recent studies have demonstrated that deep learning-based image segmentation algorithms are vulnerable to adversarial attacks, where carefully crafted perturbations to the input image can cause significant misclassifications (Xie et al., 2019) or by using input pre-processing techniques to remove adversarial perturbations (Xie et al.,

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Flipboard

APRIL 13, 2023

Prime Air (our drones) and the computer vision technology in Amazon Go (our physical retail experience that lets consumers select items off a shelf and leave the store without having to formally check out) use deep learning. To give a sense for the change in scale, the largest pre-trained model in 2019 was 330M parameters.

AWS 182

AWS AI AI ML 182

AWS Machine Learning Blog

SEPTEMBER 11, 2024

In terms of resulting speedups, the approximate order is programming hardware, then programming against PBA APIs, then programming in an unmanaged language such as C++, then a managed language such as Python. Together, these elements lead to the start of a period of dramatic progress in ML, with NN being redubbed deep learning.

AWS 113

AWS ML ML Clustering 113

DrivenData Labs

DECEMBER 10, 2023

degree in AI and ML specialization from Gujarat University, earned in 2019. Itay possesses experience in machine learning, deep learning, and full stack development. On the server side, we opted for Python. He holds an M.S. Aman Ulla is a passionate technology enthusiast deeply committed to fostering innovation.

AI 147

AI AI Natural Language Processing Artificial Intelligence 147

ODSC - Open Data Science

SEPTEMBER 21, 2023

The following is an extract from Andrew McMahon’s book , Machine Learning Engineering with Python, Second Edition. After all, this is what machine learning really is; a series of algorithms rooted in mathematics that can iterate some internal parameters based on data.

Machine Learning 98

Machine Learning Machine Learning ML ML 98

How to Learn Machine Learning

JUNE 28, 2024

Sale Grokking Deep Learning Trask, Andrew (Author) English (Publication Language) 336 Pages - 01/25/2019 (Publication Date) - Manning (Publisher) Buy on Amazon Summary “Hackers and Painters ” is a fascinating look into the world of hackers, who Graham sees as modern-day artists.

Machine Learning 65

Machine Learning Machine Learning Computer Science Computer Science 65