Building a Deep Learning Based Reverse Image Search - KDnuggets
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
Audio Data Analysis Using Deep Learning with Python (Part 1) - KDnuggets
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
Neural network AI is simple. So... Stop pretending you are a genius - KDNuggets
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
When Does Deep Learning Work Better Than SVMs or Random Forests®? - KDnuggets
When Does Deep Learning Work Better Than SVMs or Random Forests®? Some advice on when a deep neural network may or may not outperform Support Vector Machines or Random Forests. If we tackle a supervised learning problem, my advice is to start with the simplest hypothesis space first. I.e., try a linear model such as logistic regression. If this doesn't work "well" (i.e., it doesn't meet our expect
Docker for Data Science - KDNuggets
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
10 Free Must-Read Books for Machine Learning and Data Science - KDNuggets
10 Free Must-Read Books for Machine Learning and Data Science Spring. Rejuvenation. Rebirth. Everything’s blooming. And, of course, people want free ebooks. With that in mind, here's a list of 10 free machine learning and data science titles to get your spring reading started right. What better way to enjoy this spring weather than with some free machine learning and data science ebooks? Right? Ri
Getting Started with TensorFlow: A Machine Learning Tutorial - KDNuggets
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
Deep Learning Made Easy with Deep Cognition - KDNuggets
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
Robust Algorithms for Machine Learning - KDnuggets
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
30 Essential Data Science, Machine Learning & Deep Learning Cheat Sheets - KDNuggets
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,
A Guide to Instagramming with Python for Data Analysis - KDnuggets
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
Bokeh Cheat Sheet: Data Visualization in Python - KDNuggets
Bokeh Cheat Sheet: Data Visualization in Python Bokeh is the Python data visualization library that enables high-performance visual presentation of large datasets in modern web browsers. The package is flexible and offers lots of possibilities to visualize your data in a compelling way, but can be overwhelming. By Karlijn Willems, Data Science Journalist & DataCamp Contributor. Python Data Visuali
90 Active Blogs on Analytics, Big Data, Data Mining, Data Science, Machine Learning (updated) - KDNuggets
90 Active Blogs on Analytics, Big Data, Data Mining, Data Science, Machine Learning (updated) Stay up-to-date in the data science with active blogs. This is a list of 90 recently active blogs on Big Data, Data Science, Data Mining, Machine Learning, and Artificial intelligence. This post updates a previous very popular post 100 Active Blogs on Analytics, Big Data, Data Mining, Data Science, Machin
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Anomaly Detection, A Key Task for AI and Machine Learning, Explained - KDnuggets
Top 7 Things I Learned in my Data Science Masters - KDnuggets
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Artificial Neural Networks Optimization using Genetic Algorithm with Python - KDnuggets
How to Setup a Python Environment for Machine Learning - KDnuggets
Running R and Python in Jupyter - KDnuggets
Industry Predictions: AI, Machine Learning, Analytics & Data Science Main Developments in 2018 and Key Trends for 2019 - KDnuggets