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  ChatGPT for Data Science Cheat Sheet - KDnuggets

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  ChatGPT for Data Science Cheat Sheet The latest KDnuggets cheat sheet covers using ChatGPT to your advantage as a data scientist. It's time to master prompt engineering, and here is a handy reference for helping you along the way. The Rise of ChatOps You probably haven't heard of ChatGPT yet... ???? Aside from stealing your job, spreading lies, and plagiarizing on a mass scale (varying degrees of

  • テクノロジー
  • 2023/03/09 18:49

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  How to solve 90% of NLP problems: a step-by-step guide - KDnuggets

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  How to solve 90% of NLP problems: a step-by-step guide Read this insightful, step-by-step article on how to use machine learning to understand and leverage text. For more content like this, follow Insight and Emmanuel on Twitter. Text data is everywhere Whether you are an established company or working to launch a new service, you can always leverage text data to validate, improve, and expand the

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  • 2021/11/10 17:03

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  Building a Deep Learning Based Reverse Image Search - KDnuggets

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  Building a Deep Learning Based Reverse Image Search Following the journey from unstructured data to content based image retrieval. By Vegard Flovik Ever wondered how the Google reverse image search works, which take in an image and returns you the most similar images in a fraction of a second? For humans, evaluating the content of images is fairly straight forward, and determining whether an image

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  • 2021/01/23 18:41
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  Audio Data Analysis Using Deep Learning with Python (Part 1) - KDnuggets

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  Audio Data Analysis Using Deep Learning with Python (Part 1) A brief introduction to audio data processing and genre classification using Neural Networks and python. Introduction While much of the literature and buzz on deep learning concerns computer vision and natural language processing(NLP), audio analysis — a field that includes automatic speech recognition(ASR), digital signal processing, an

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  • 2020/08/15 21:55

  • Python
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  Machine Learning in Power BI using PyCaret - KDnuggets

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  Machine Learning in Power BI using PyCaret Check out this step-by-step tutorial for implementing machine learning in Power BI within minutes. PyCaret 1.0.0 Last week we announced PyCaret, an open source machine learning library in Python that trains and deploys machine learning models in a low-code environment. In our previous post we demonstrated how to use PyCaret in Jupyter Notebook to train an

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  • 2020/05/13 19:29

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  Google’s New Explainable AI Service - KDnuggets

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  Google’s New Explainable AI Service Google has started offering a new service for “explainable AI” or XAI, as it is fashionably called. Presently offered tools are modest, but the intent is in the right direction. AI has an explainability problem Artificial intelligence is set to transform global productivity, working patterns, and lifestyles and create enormous wealth. Research firm Gartner expec

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  • 2019/12/21 17:34
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  Top Machine Learning Software Tools for Developers - KDnuggets

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  Top Machine Learning Software Tools for Developers As a developer who is excited about leveraging machine learning for faster and more effective development, these software tools are worth trying out. By Sandra Parker, QArea software development company. Today, programmers interested in machine learning potential talk about building apps with artificial intelligence and the tools for AI-based soft

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  • 2019/11/04 11:31

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  Gradient Boosting in TensorFlow vs XGBoost

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  Gradient Boosting in TensorFlow vs XGBoost For many Kaggle-style data mining problems, XGBoost has been the go-to solution since its release in 2016. It's probably as close to an out-of-the-box machine learning algorithm as you can get today. By Nicolò Valigi, Founder of AI Academy Tensorflow 1.4 was released a few weeks ago with an implementation of Gradient Boosting, called TensorFlow Boosted Tr

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  • 2018/11/12 20:44
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  Machine Learning Cheat Sheets - KDnuggets

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  Machine Learning Cheat Sheets Check out this collection of machine learning concept cheat sheets based on Stanord CS 229 material, including supervised and unsupervised learning, neural networks, tips & tricks, probability & stats, and algebra & calculus. Cheat sheets for machine learning are plentiful. Quality, concise technical cheat sheets, on the other hand... not so much. A good set of resour

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  • 2018/09/12 08:21
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  Operational Machine Learning: Seven Considerations for Successful MLOps - KDnuggets

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  Operational Machine Learning: Seven Considerations for Successful MLOps In this article, we describe seven key areas to take into account for successful operationalization and lifecycle management (MLOps) of your ML initiatives By Nisha Talagala, ParallelM. Machine learning is everywhere. From advertising to IoT to healthcare, and beyond, virtually all industries are adopting or investigating mach

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  • 2018/07/25 19:03

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  30 Free Resources for Machine Learning, Deep Learning, NLP & AI - KDnuggets

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  30 Free Resources for Machine Learning, Deep Learning, NLP & AI Check out this collection of 30 ML, DL, NLP & AI resources for beginners, starting from zero and slowly progressing to the point that readers should have an idea of where to go next. This is a collection of free resources beyond the regularly shared books, MOOCs, and courses, mostly from over the past year. They start from zero and pr

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  • 2018/06/26 07:04

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  Complete Guide to Build ConvNet HTTP-Based Application using TensorFlow and Flask RESTful Python API - KDnuggets

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  Complete Guide to Build ConvNet HTTP-Based Application using TensorFlow and Flask RESTful Python API In this tutorial, a CNN is to be built, and trained and tested against the CIFAR10 dataset. To make the model remotely accessible, a Flask Web application is created using Python to receive an uploaded image and return its classification label using HTTP. This tutorial takes you along the steps req

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  • 2018/05/16 08:26
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  Neural network AI is simple. So... Stop pretending you are a genius - KDNuggets

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  Neural network AI is simple. So… Stop pretending you are a genius This post may come off as a rant, but that’s not so much its intent, as it is to point out why we went from having very few AI experts, to having so many in so little time. By Brandon Wirtz, CEO and Founder at Recognant On a regular basis people tell me about their impressive achievements using AI. 99% of these things are completely

  • 政治と経済
  • 2018/02/16 01:51

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  Comparing Machine Learning as a Service: Amazon, Microsoft Azure, Google Cloud AI - KDNuggets

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  Comparing Machine Learning as a Service: Amazon, Microsoft Azure, Google Cloud AI A complete and unbiased comparison of the three most common Cloud Technologies for Machine Learning as a Service. By Altexsoft. For most businesses, machine learning seems close to rocket science, appearing expensive and talent demanding. And, if you’re aiming at building another Netflix recommendation system, it rea

  • 政治と経済
  • 2018/02/01 19:27

  • Machine Learning
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  Top 10 TED Talks for Data Scientists and Machine Learning Engineers - KDNuggets

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  Top 10 TED Talks for Data Scientists and Machine Learning Engineers A comprehensive and diverse compilation of TED talks to understand the big picture of AI and Machine Learning. Sometimes, when we are too focused on learning about the technical implementations of Machine Learning we tend to ignore important issues of this technology like its future applications and political consequences. In this

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  • 2018/01/11 23:10

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  Docker for Data Science - KDNuggets

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  www.kdnuggets.com

  Docker for Data Science Coming from a statistics background I used to care very little about how to install software and would occasionally spend a few days trying to resolve system configuration issues. Enter the god-send Docker almighty. Docker is a tool that simplifies the installation process for software engineers. Coming from a statistics background I used to care very little about how to in

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  • 2018/01/03 07:20

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  Getting Started with TensorFlow: A Machine Learning Tutorial - KDNuggets

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  Getting Started with TensorFlow: A Machine Learning Tutorial A complete and rigorous introduction to Tensorflow. Code along with this tutorial to get started with hands-on examples. By Dino Causevic, Toptal. TensorFlow is an open source software library created by Google that is used to implement machine learning and deep learning systems. These two names contain a series of powerful algorithms th

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  • 2017/12/23 00:53

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  70 Amazing Free Data Sources You Should Know - KDNuggets

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  70 Amazing Free Data Sources You Should Know 70 free data sources for 2017 on government, crime, health, financial and economic data, marketing and social media, journalism and media, real estate, company directory and review, and more to start working on your data projects. By Aries Chau, Octoparse. Every great data visualization starts with good and clean data. Most of people believe that collec

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  • 2017/12/22 17:07
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  Deep Learning Made Easy with Deep Cognition - KDNuggets

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  Deep Learning Made Easy with Deep Cognition So normally we do Deep Learning programming, and learning new APIs, some harder than others, some are really easy an expressive like Keras, but how about a visual API to create and deploy Deep Learning solutions with the click of a button? This is the promise of Deep Cognition. This past month I had the luck to meet the founders of DeepCognition.ai. Deep

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  • 2017/12/22 08:53

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  Robust Algorithms for Machine Learning - KDnuggets

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  Robust Algorithms for Machine Learning This post mentions some of the advantages of implementing robust, non-parametric methods into our Machine Learning frameworks and models. By Tom Radcliffe Machine learning is often held out as a magical solution to hard problems that will absolve us mere humans from ever having to actually learn anything. But in reality, for data scientists and machine learni

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  • 2017/12/12 08:43

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  30 Essential Data Science, Machine Learning & Deep Learning Cheat Sheets - KDNuggets

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  30 Essential Data Science, Machine Learning & Deep Learning Cheat Sheets This collection of data science cheat sheets is not a cheat sheet dump, but a curated list of reference materials spanning a number of disciplines and tools. By Matthew Mayo, KDnuggets Managing Editor on September 22, 2017 in Cheat Sheet, Data Science, Deep Learning, Machine Learning, Neural Networks, Probability, Python, R,

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  • 2017/09/25 09:41

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  A Guide to Instagramming with Python for Data Analysis - KDnuggets

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  A Guide to Instagramming with Python for Data Analysis I am writing this article to show you the basics of using Instagram in a programmatic way. You can benefit from this if you want to use it in a data analysis, computer vision, or any other cool project you can think of. By Nour Galaby, Data Enthusiast. Instagram is the largest photo sharing social media platform with 500 million monthly active

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  • 2017/08/18 21:44
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  KDnuggets

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  www.kdnuggets.com

  How to Build a Streaming Semi-structured Analytics Platform on Snowflake Building a datalake for semi-structured data or json has always been challenging. Imagine if the json documents are streaming or continuously flowing from healthcare vendors then we need…

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  • 2017/07/26 09:16

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  Cartoon: Machine Learning - What They Think I Do - KDNuggets

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  www.kdnuggets.com

  Cartoon: Machine Learning – What They Think I Do Different views of Machine Learning: What society, my friends, my parents, other programmers think I do, and what I really do. This cartoon by Harrison Kinsley presents different views on Machine Learning: what society thinks I do what my friends think I do what my parents think I do what other programmers think I do what I think I do what I really

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  • 2017/06/30 18:46

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  Top 15 Python Libraries for Data Science in 2017 - KDnuggets

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  Top 15 Python Libraries for Data Science in 2017 Since all of the libraries are open sourced, we have added commits, contributors count and other metrics from Github, which could be served as a proxy metrics for library popularity. By Igor Bobriakov, ActiveWizards. As Python has gained a lot of traction in the recent years in Data Science industry, I wanted to outline some of its most useful libra

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  • 2017/06/14 11:19
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  7 Techniques to Handle Imbalanced Data - KDNuggets

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  7 Techniques to Handle Imbalanced Data This blog post introduces seven techniques that are commonly applied in domains like intrusion detection or real-time bidding, because the datasets are often extremely imbalanced. By Ye Wu & Rick Radewagen Introduction What have datasets in domains like, fraud detection in banking, real-time bidding in marketing or intrusion detection in networks, in common?

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  • 2017/06/10 09:06

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  Which Machine Learning Algorithm Should I Use? - KDnuggets

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  Which Machine Learning Algorithm Should I Use? A typical question asked by a beginner, when facing a wide variety of machine learning algorithms, is "which algorithm should I use?” The answer to the question varies depending on many factors, including the size, quality, and nature of data, the available computational time, and more. By Hui Li, Principal Staff Scientist at SAS. This resource is des

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  • 2017/06/02 22:20

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  Deep Learning - Past, Present, and Future - KDNuggets

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  Deep Learning – Past, Present, and Future There is a lot of buzz around deep learning technology. First developed in the 1940s, deep learning was meant to simulate neural networks found in brains, but in the last decade 3 key developments have unleashed its potential. Deep learning is exploding. According to Gartner, the number of open positions for deep learning experts grew from almost zero in 2

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  • 2017/05/18 16:32

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