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 114

Machine Learning Machine Learning Data Science Deep Learning 114

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

DECEMBER 27, 2019

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

Deep Learning 247

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KDnuggets

NOVEMBER 27, 2019

Also: Deep Learning for Image Classification with Less Data; How to Speed up Pandas by 4x with one line of code; 25 Useful #Python Snippets to Help in Your Day-to-Day Work; Automated Machine Learning Project Implementation Complexities.

Deep Learning 301

Deep Learning Deep Learning Machine Learning Machine Learning 301

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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Deep Learning Deep Learning Python 272

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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Deep Learning Deep Learning Python 268

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 260

Deep Learning Deep Learning Python 260

KDnuggets

SEPTEMBER 16, 2019

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

Deep Learning 216

Deep Learning Deep Learning Python 216

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 399

Data Science Analytics Analytics Deep Learning 399

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 120

Data Scientist Decision Trees Deep Learning Deep Learning 120

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.

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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

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 270

Deep Learning Deep Learning Python 270

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 128

Data Science Python Deep Learning Deep Learning 128

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.

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KDnuggets

OCTOBER 24, 2019

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

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Deep Learning Deep Learning Python 223

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

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 ?

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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.,

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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

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 86

AI AI Artificial Intelligence Artificial Intelligence 86

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

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 64

Machine Learning Machine Learning Computer Science Computer Science 64

Heartbeat

JUNE 6, 2023

Prerequisites To follow along with this tutorial, you will need the following: Basic knowledge of Python and deep learning. To construct the graph, we will use the NetworkX library , a Python language package that provides a convenient way to create and manipulate graphs. Richong, Z., Yongyi, M., & Xudong L.

Natural Language Processing 59

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Heartbeat

JANUARY 23, 2023

2019) set out to determine how well an NLP model could determine whether or not a given sentence adhered to linguistic norms. This structure resembles a Python dictionary, where each key represents a distinct split. Alex Warstadt et al. SST-2 : The Stanford Sentiment Treebank dataset. Dataset instances result from split selection.

Natural Language Processing 52

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Heartbeat

SEPTEMBER 13, 2023

For example, explainability is crucial if a healthcare professional uses a deep learning model for medical diagnoses. Here's an example of calculating feature importance using permutation importance with scikit-learn in Python: from sklearn.inspection import permutation_importance # Fit your model (e.g.,

Machine Learning 52

Machine Learning Machine Learning AI AI 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)

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The MLOps Blog

APRIL 5, 2023

See also MLOps Problems and Best Practices Addressing model environments Use ONNX ONNX ( Open Neural Network Exchange) | Source ONNX (Open Neural Network Exchange), an open-source format for representing deep learning models, was developed by Microsoft and is now managed by the Linux Foundation. References Géron, A. Brownlee, J.

ML 69

ML ML Machine Learning Machine Learning 69

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

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 98

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How to Learn Machine Learning

JULY 20, 2024

It reduces errors & enhances the efficiency of OCR systems. This level of accuracy is important for legal document processing & medical recordkeeping.

Machine Learning 52

Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 52

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

Mlearning.ai

JUNE 4, 2023

Open a Python notebook and follow along! This will yield a new dataset the we can feed to any other standard Machine or Deep Learning model. Submission Suggestions ChatGPT lands on Scikit-learn was originally published in MLearning.ai We’ll test the workflow and also the capabilities of ChatGPT. References [1] Gautam.

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Algorithm Deep Learning ML Deep Learning 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 71

Data Science SQL Big Data Big Data 71

AWS Machine Learning Blog

OCTOBER 11, 2024

data # Assing local directory path to a python variable local_data_path = "./data/" data/" # Assign S3 bucket name to a python variable. This was created in Step-2 above. This bucket will be used as source for vector databases and uploading source files.

Database 101

Database AWS Clustering AI 101

Explosion

NOVEMBER 21, 2019

Try the new interactive demo to explore similarities and compare them between 2015 and 2019 sense2vec (Trask et. al, 2015) is a twist on the word2vec family of algorithms that lets you learn more interesting word vectors. Named entity annotations and noun phrases can also help, by letting you learn vectors for multi-word expressions.

Natural Language Processing 52

Natural Language Processing Data Scientist Machine Learning Machine Learning 52

The MLOps Blog

AUGUST 3, 2023

You essentially divide things up into large tasks and chunks, but the software engineering that goes within that task is the thing that you’re generally gonna be updating and adding to over time as your machine learning grows within your company or you have new data sources, you want to create new models, right? To figure it out.

ML 52

ML ML Data Scientist Machine Learning 52