Search results for deep learning
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Netflix’s Polynote is a New Open Source Framework to Build Better Data Science Notebooks">Netflix’s Polynote is a New Open Source Framework to Build Better Data Science Notebooks
The new notebook environment provides substantial improvements to streamline experimentation in machine learning workflows.https://www.kdnuggets.com/2020/08/netflix-polynote-open-source-framework-better-data-science-notebooks.html
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Know What Employers are Expecting for a Data Scientist Role in 2020">Know What Employers are Expecting for a Data Scientist Role in 2020
The analysis is done from 1000+ recent Data scientist jobs, extracted from job portals using web scraping.https://www.kdnuggets.com/2020/08/employers-expecting-data-scientist-role-2020.html
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I have a joke about …">I have a joke about …
I have a machine learning joke, but it is not performing as well on a new audience. We bring you a selection of the nerdy self-referential computer jokes that were popular on the web recently.https://www.kdnuggets.com/2020/08/joke-about.html
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Scaling Computer Vision Models with Dataflow
Scaling Machine Learning models is hard and expensive. We will shortly introduce the Google Cloud service Dataflow, and how it can be used to run predictions on millions of images in a serverless way.https://www.kdnuggets.com/2020/07/scaling-computer-vision-models-dataflow.html
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KDnuggets™ News 20:n29, Jul 29: Easy Guide To Data Preprocessing In Python; Building a better Spark UI; Computational Algebra for Coders: The Free Course
An easy guide to data pre-processing in Python; Monitoring Apache Spark with a better Spark UI; Computational Linear Algebra for Coders: the free course; Labelling data with Snorkel; Bayesian Statistics.https://www.kdnuggets.com/2020/n29.html
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5 Fantastic Natural Language Processing Books
This curated collection of 5 natural language processing books attempts to cover a number of different aspects of the field, balancing the practical and the theoretical. Check out these 5 fantastic selections now in order to improve your NLP skills.https://www.kdnuggets.com/2020/07/5-fantastic-nlp-books.html
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Computational Linear Algebra for Coders: The Free Course">Computational Linear Algebra for Coders: The Free Course
Interested in learning more about computational linear algebra? Check out this free course from fast.ai, structured with a top-down teaching method, and solidify your understanding of an important set of machine learning-related concepts.https://www.kdnuggets.com/2020/07/computational-linear-algebra-free-course.html
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Recommender Systems in a Nutshell
Marketing scientist Kevin Gray asks Dr. Anna Farzindar of the University of Southern California about recommender systems and the ways they are used.https://www.kdnuggets.com/2020/07/recommender-systems-nutshell.html
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Free From Stanford: Ethical and Social Issues in Natural Language Processing
Perhaps it's time to take a look at this relatively new offering from Stanford, Ethical and Social Issues in Natural Language Processing (CS384), an advanced seminar course covering ethical and social issues in NLP.https://www.kdnuggets.com/2020/07/ethical-social-issues-natural-language-processing.html
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Understanding How Neural Networks Think
A couple of years ago, Google published one of the most seminal papers in machine learning interpretability.https://www.kdnuggets.com/2020/07/understanding-neural-networks-think.html
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PyTorch LSTM: Text Generation Tutorial
Key element of LSTM is the ability to work with sequences and its gating mechanism.https://www.kdnuggets.com/2020/07/pytorch-lstm-text-generation-tutorial.html
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Scope and Impact of AI in Agriculture
The major advantage of focusing on AI-based methods is that they tackle each of the challenges faced by farmers from seed sowing to harvesting of crops separately and rather than generalising, provide customised solutions to a specific problem.https://www.kdnuggets.com/2020/07/scope-impact-ai-agriculture.html
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Generating cooking recipes using TensorFlow and LSTM Recurrent Neural Network: A step-by-step guide
A character-level LSTM (Long short-term memory) RNN (Recurrent Neural Network) is trained on ~100k recipes dataset using TensorFlow. The model suggested the recipes "Cream Soda with Onions", "Puff Pastry Strawberry Soup", "Zucchini flavor Tea", and "Salmon Mousse of Beef and Stilton Salad with Jalapenos". Yum!? Follow along this detailed guide with code to create your own recipe-generating chef.https://www.kdnuggets.com/2020/07/generating-cooking-recipes-using-tensorflow.html
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KDnuggets™ News 20:n25, Jun 24: PyTorch Fundamentals You Should Know; Free Math Courses to Boost Your Data Science Skills
A Classification Project in Machine Learning: a gentle step-by-step guide; Crop Disease Detection Using Machine Learning and Computer Vision; Bias in AI: A Primer; Machine Learning in Dask; How to Deal with Missing Values in Your Datasethttps://www.kdnuggets.com/2020/n25.html
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Bias in AI: A Primer
Those interested in studying AI bias, but who lack a starting point, would do well to check out this introductory set of slides and the accompanying talk on the subject from Google researcher Margaret Mitchell.https://www.kdnuggets.com/2020/06/bias-ai-primer.html
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What is emotion AI and why should you care?
What is emotion AI, why is it relevant, and what do you need to know about it?https://www.kdnuggets.com/2020/06/emotion-ai.html
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6 Easy Steps to Implement a Computer Vision Application Using Tensorflow.js
In this article, we are going to see how we can implement computer vision applications using tensorflow.js models.https://www.kdnuggets.com/2020/06/6-easy-steps-implement-computer-vision-application-tensorflow-js.html
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5 Essential Papers on Sentiment Analysis
To highlight some of the work being done in the field, here are five essential papers on sentiment analysis and sentiment classification.https://www.kdnuggets.com/2020/06/5-essential-papers-sentiment-analysis.html
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Natural Language Processing with Python: The Free eBook">Natural Language Processing with Python: The Free eBook
This free eBook is an introduction to natural language processing, and to NLTK, one of the most prevalent Python NLP libraries.https://www.kdnuggets.com/2020/06/natural-language-processing-python-free-ebook.html
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Why Do AI Systems Need Human Intervention to Work Well?
All is not well with artificial intelligence-based systems during the coronavirus pandemic. No, the virus does not impact AI – however, it does impact humans, without whom AI and ML systems cannot function properly. Surprised?https://www.kdnuggets.com/2020/06/ai-systems-need-human-intervention.html
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5 Essential Papers on AI Training Data
Data pre-processing is not only the largest time sink for most Data Scientists, but it is also the most crucial aspect of the work. Learn more about training data and data processing tasks from 5 leading academic papers.https://www.kdnuggets.com/2020/06/5-essential-papers-ai-training-data.html
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Introduction to Convolutional Neural Networks
The article focuses on explaining key components in CNN and its implementation using Keras python library.https://www.kdnuggets.com/2020/06/introduction-convolutional-neural-networks.html
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From Languages to Information: Another Great NLP Course from Stanford">From Languages to Information: Another Great NLP Course from Stanford
Check out another example of a Stanford NLP course and its freely available courseware.https://www.kdnuggets.com/2020/06/languages-information-another-great-nlp-course-stanford.html
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Privacy-preserving AI – Why do we need it?
Various data privacy threats can result from the usual process of building and constructing data and AI-based systems. Avoiding these challenges can be supported by utilizing state-of-the-art technologies in the domain of privacy-preserving AI.https://www.kdnuggets.com/2020/05/privacy-preserving-ai.html
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How to Think Like a Data Scientist">How to Think Like a Data Scientist
So what does it take to become a data scientist? For some pointers on the skills for success, I interviewed Ben Chu, who is a Senior Data Scientist at Refinitiv Labs.https://www.kdnuggets.com/2020/05/think-like-data-scientist-data-analyst.html
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LinkedIn Open Sources a Small Component to Simplify the TensorFlow-Spark Interoperability
Spark-TFRecord enables the processing of TensorFlow’s TFRecord structures in Apache Spark.https://www.kdnuggets.com/2020/05/linkedin-open-sources-small-component-tensorflow-spark-interoperability.html
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Python For Everybody: The Free eBook">Python For Everybody: The Free eBook
Get back to fundamentals with this free eBook, Python For Everybody, approaching the learning of programming from a data analysis perspective.https://www.kdnuggets.com/2020/05/python-everybody-free-ebook.html
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A Holistic Framework for Managing Data Analytics Projects
Agile project management for Data Science development continues to be an effective framework that enables flexibility and productivity in a field that can experience continuous changes in data and evolving stakeholder expectations. Learn more about the leading approaches for developing Data Science models, and apply them to your next project.https://www.kdnuggets.com/2020/05/framework-managing-data-analytics-projects.html
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Dimensionality Reduction with Principal Component Analysis (PCA)
This article focuses on design principles of the PCA algorithm for dimensionality reduction and its implementation in Python from scratch.https://www.kdnuggets.com/2020/05/dimensionality-reduction-principal-component-analysis.html
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13 must-read papers from AI experts">13 must-read papers from AI experts
What research articles do top AI experts in the field recommend? Find out which ones and why, then be sure to add each to your reading to do list.https://www.kdnuggets.com/2020/05/13-must-read-papers-ai-experts.html
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Google Unveils TAPAS, a BERT-Based Neural Network for Querying Tables Using Natural Language
The new neural network extends BERT to interact with tabular datasets.https://www.kdnuggets.com/2020/05/google-tapas-bert-neural-network-querying-natural-language.html
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Easy Text-to-Speech with Python
Python comes with a lot of handy and easily accessible libraries and we’re going to look at how we can deliver text-to-speech with Python in this article.https://www.kdnuggets.com/2020/05/easy-text-speech-python.html
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Evidence Counterfactuals for explaining predictive models on Big Data
Big Data generated by people -- such as, social media posts, mobile phone GPS locations, and browsing history -- provide enormous prediction value for AI systems. However, explaining how these models predict with the data remains challenging. This interesting explanation approach considers how a model would behave if it didn't have the original set of data to work with.https://www.kdnuggets.com/2020/05/evidence-counterfactuals-predictive-models-big-data.html
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Cartoon: The Worst Telemedicine?
New KDnuggets cartoon examines what may be the worst example of telemedicine ...https://www.kdnuggets.com/2020/05/cartoon-worst-telemedicine.html
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AI Channels to Follow
AI is certainly playing an important role in our global fight against the novel coronavirus. These YouTube channels are recommended to keep you covered with the latest advancements in the field and how it is impacting our world.https://www.kdnuggets.com/2020/05/ai-channels-follow.html
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Five Cool Python Libraries for Data Science">Five Cool Python Libraries for Data Science
Check out these 5 cool Python libraries that the author has come across during an NLP project, and which have made their life easier.https://www.kdnuggets.com/2020/04/five-cool-python-libraries-data-science.html
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Introducing Brain Simulator II: A New Platform for AGI Experimentation
A growing consensus of researchers contend that new algorithms are needed to transform narrow AI to AGI. Brain Simulator II is free software for new algorithm development targeted at AGI that you can experiment with and participate in its development.https://www.kdnuggets.com/2020/04/brain-simulator-new-platform-agi.html
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A Concise Course in Statistical Inference: The Free eBook">A Concise Course in Statistical Inference: The Free eBook
Check out this freely available book, All of Statistics: A Concise Course in Statistical Inference, and learn the probability and statistics needed for success in data science.https://www.kdnuggets.com/2020/04/statistics-concise-course-statistical-inference-free-ebook.html
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Google Open Sources SimCLR, A Framework for Self-Supervised and Semi-Supervised Image Training
The new framework uses contrastive learning to improve image analysis in unlabeled datasets.https://www.kdnuggets.com/2020/04/google-open-sources-simclr-self-supervised-semi-supervised-image-training.html
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3 Reasons Why We Are Far From Achieving Artificial General Intelligence
How far we are from achieving Artificial General Intelligence? We answer this through the study of three limitations of current machine learning.https://www.kdnuggets.com/2020/04/3-reasons-far-from-artificial-general-intelligence.html
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Should Data Scientists Model COVID19 and other Biological Events">Should Data Scientists Model COVID19 and other Biological Events
Biostatisticians use statistical techniques that your current everyday data scientists have probably never heard of. This is a great example where lack of domain knowledge exposes you as someone that does not know what they are doing and are merely hopping on a trend.https://www.kdnuggets.com/2020/04/data-scientists-model-covid19-biological-events.html
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5 Papers on CNNs Every Data Scientist Should Read">5 Papers on CNNs Every Data Scientist Should Read
In this article, we introduce 5 papers on CNNs that represent both novel approaches and baselines in the field.https://www.kdnuggets.com/2020/04/5-papers-cnns-data-scientist.html
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The Double Descent Hypothesis: How Bigger Models and More Data Can Hurt Performance
OpenAI research shows a phenomenon that challenges both traditional statistical learning theory and conventional wisdom in machine learning practitioners.https://www.kdnuggets.com/2020/04/double-descent-hypothesis-bigger-models-more-data-hurt-performance.html
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Dockerize Jupyter with the Visual Debugger
A step by step guide to enable and use visual debugging in Jupyter in a docker container.https://www.kdnuggets.com/2020/04/dockerize-jupyter-visual-debugger.html
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Top Process Mining Software Companies, Updated
Understanding the real business processes of a company through analysis of its information systems can guide digital transformations. Here, the top 10 process mining software companies are reviewed that can assist businesses in process optimizations through unique insights of business systems.https://www.kdnuggets.com/2020/04/process-mining-software-companies.html
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Successful Use Cases of Artificial Intelligence for Businesses
AI is contributing to the businesses in a huge way. For specifics, check out these successful use cases of AI for business.https://www.kdnuggets.com/2020/04/successful-use-cases-ai-business.html
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Build an app to generate photorealistic faces using TensorFlow and Streamlit
We’ll show you how to quickly build a Streamlit app to synthesize celebrity faces using GANs, Tensorflow, and st.cache.https://www.kdnuggets.com/2020/04/app-generate-photorealistic-faces-tensorflow-streamlit.html
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Why you should NOT use MS MARCO to evaluate semantic search
If we want to investigate the power and limitations of semantic vectors (pre-trained or not), we should ideally prioritize datasets that are less biased towards term-matching signals. This piece shows that the MS MARCO dataset is more biased towards those signals than we expected and that the same issues are likely present in many other datasets due to similar data collection designs.https://www.kdnuggets.com/2020/04/ms-marco-evaluate-semantic-search.html
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Cartoon: AI understanding of Coronavirus
Here is a cartoon to distract you, showing a new level of understanding AI could reach.https://www.kdnuggets.com/2020/04/cartoon-ai-coronavirus.html
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Brain Tumor Detection using Mask R-CNN
Mask R-CNN has been the new state of the art in terms of instance segmentation. Here I want to share some simple understanding of it to give you a first look and then we can move ahead and build our model.https://www.kdnuggets.com/2020/03/brain-tumor-detection-mask-r-cnn.html
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Introduction to Kubeflow MPI Operator and Industry Adoption
Kubeflow just announced its first major 1.0 release recently. This post introduces the MPI Operator, one of the core components of Kubeflow, currently in alpha, which makes it easy to run synchronized, allreduce-style distributed training on Kubernetes.https://www.kdnuggets.com/2020/03/introduction-kubeflow-mpi-operator-industry-adoption.html
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Evaluating Ray: Distributed Python for Massive Scalability
If your team has started using ​Ray​ and you’re wondering what it is, this post is for you. If you’re wondering if Ray should be part of your technical strategy for Python-based applications, especially ML and AI, this post is for you.https://www.kdnuggets.com/2020/03/domino-ray-distributed-python-massive-scalability.html
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Nine lessons learned during my first year as a Data Scientist">Nine lessons learned during my first year as a Data Scientist
What is it like to be a Data Scientist? There can be many hats to wear, and so many problems to solve that are fed with data, churned by data science, and guided by business results. Find out about lessons learned from one Data Scientist about how best to work and perform in the role.https://www.kdnuggets.com/2020/03/nine-lessons-first-year-data-scientist.html
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How To Build Your Own Feedback Analysis Solution
Automating the analysis of customer feedback will sound like a great idea after reading a couple hundred reviews. Building an NLP solution to provide in-depth analysis of what your customers are thinking is a serious undertaking, and this guide helps you scope out the entire project.https://www.kdnuggets.com/2020/03/build-feedback-analysis-solution.html
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Generate Realistic Human Face using GAN
This article contain a brief intro to Generative Adversarial Network(GAN) and how to build a Human Face Generator.https://www.kdnuggets.com/2020/03/generate-realistic-human-face-using-gan.html
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50 Must-Read Free Books For Every Data Scientist in 2020">50 Must-Read Free Books For Every Data Scientist in 2020
In this article, we are listing down some excellent data science books which cover the wide variety of topics under Data Science.https://www.kdnuggets.com/2020/03/50-must-read-free-books-every-data-scientist-2020.html
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A simple and interpretable performance measure for a binary classifier
Binary classification tasks are the bread and butter of machine learning. However, the standard statistic for its performance is a mathematical tool that is difficult to interpret -- the ROC-AUC. Here, a performance measure is introduced that simply considers the probability of making a correct binary classification.https://www.kdnuggets.com/2020/03/interpretable-performance-measure-binary-classifier.html
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Linear to Logistic Regression, Explained Step by Step">Linear to Logistic Regression, Explained Step by Step
Logistic Regression is a core supervised learning technique for solving classification problems. This article goes beyond its simple code to first understand the concepts behind the approach, and how it all emerges from the more basic technique of Linear Regression.https://www.kdnuggets.com/2020/03/linear-logistic-regression-explained.html
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Hands on Hyperparameter Tuning with Keras Tuner
Or how hyperparameter tuning with Keras Tuner can boost your object classification network's accuracy by 10%.https://www.kdnuggets.com/2020/02/hyperparameter-tuning-keras-tuner.html
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Python and R Courses for Data Science">Python and R Courses for Data Science
Since Python and R are a must for today's data scientists, continuous learning is paramount. Online courses are arguably the best and most flexible way to upskill throughout ones career.https://www.kdnuggets.com/2020/02/python-r-courses-data-science.html
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The Death of Data Scientists – will AutoML replace them?">The Death of Data Scientists – will AutoML replace them?
Soon after tech giants Google and Microsoft introduced their AutoML services to the world, the popularity and interest in these services skyrocketed. We first review AutoML, compare the platforms available, and then test them out against real data scientists to answer the question: will AutoML replace us?https://www.kdnuggets.com/2020/02/data-scientists-automl-replace.html
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The Forgotten Algorithm
This article explores Monte Carlo Simulation with Streamlit.https://www.kdnuggets.com/2020/02/forgotten-algorithm-monte-carlo-simulation.html
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Hand labeling is the past. The future is #NoLabel AI
Data labeling is so hot right now… but could this rapidly emerging market face disruption from a small team at Stanford and the Snorkel open source project, which enables highly efficient programmatic labeling that is 10 to 1,000x as efficient as hand labeling?https://www.kdnuggets.com/2020/02/hand-labeling-past-future-nolabel-ai.html
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Scaling the Wall Between Data Scientist and Data Engineer
The educational and research focuses of machine learning tends to highlight the model building, training, testing, and optimization aspects of the data science process. To bring these models into use requires a suite of engineering feats and organization, a standard for which does not yet exist. Learn more about a framework for operating a collaborative data science and engineering team to deploy machine learning models to end-users.https://www.kdnuggets.com/2020/02/scaling-wall-data-scientist-data-engineer.html
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Fourier Transformation for a Data Scientist">Fourier Transformation for a Data Scientist
The article contains a brief intro into Fourier transformation mathematically and its applications in AI.https://www.kdnuggets.com/2020/02/fourier-transformation-data-scientist.html
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Illustrating the Reformer
In this post, we will try to dive into the Reformer model and try to understand it with some visual guides.https://www.kdnuggets.com/2020/02/illustrating-reformer.html
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Fidelity on How to Find a Tailor-Fit Unicorn Data Scientist
Predictive Analytics World for Financial Services in Las Vegas, May 31-Jun 4 is honored to host an exceptional keynote by Fidelity Investments’ AI and Data Science Center of Excellence Leader, Victor Lo: "How to Find a Tailor-Fit 'Unicorn' Data Scientist for Financial Services". Use the code KDNUGGETS for a 15% discount on your Predictive Analytics World ticket.https://www.kdnuggets.com/2020/02/paw-find-tailor-fit-unicorn-data-scientist.html
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Basics of Audio File Processing in R
This post provides basic information on audio processing using R as the programming language. It also walks through and understands some basics of sound and digital audio.https://www.kdnuggets.com/2020/02/basics-audio-file-processing-r.html
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Intent Recognition with BERT using Keras and TensorFlow 2
TL;DR Learn how to fine-tune the BERT model for text classification. Train and evaluate it on a small dataset for detecting seven intents. The results might surprise you!https://www.kdnuggets.com/2020/02/intent-recognition-bert-keras-tensorflow.html
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The Data Science Puzzle — 2020 Edition">The Data Science Puzzle — 2020 Edition
The data science puzzle is once again re-examined through the relationship between several key concepts of the landscape, incorporating updates and observations since last time. Check out the results here.https://www.kdnuggets.com/2020/02/data-science-puzzle-2020-edition.html
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How to land a Data Scientist job at your dream company">How to land a Data Scientist job at your dream company
Job hunting for anyone just starting out as a data scientist can require grit, passion, and perseverance before finding the best opportunity. Follow this career search journey to learn what it took -- and the learning resources used -- to land the dream job.https://www.kdnuggets.com/2020/01/data-scientist-job-dream-company.html
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OpenAI is Adopting PyTorch… They Aren’t Alone
OpenAI is moving to PyTorch for the bulk of their research work. This might be a high-profile adoption, but it is far from the only such example.https://www.kdnuggets.com/2020/01/openai-pytorch-adoption.html
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Amazon Gets Into the AutoML Race with AutoGluon: Some AutoML Architectures You Should Know About
Amazon, Microsoft, Salesforce, Waymo have produced some of the most innovative AutoML architectures in the market.https://www.kdnuggets.com/2020/01/amazon-automl-autogluon-architectures-know-about.html
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The Decade of Data Science
With the last decade being so strong for the emerging field of Data Science, this review considers current trends in the industry, popular frameworks, helpful tools, and new tools that can be leveraged more in the future.https://www.kdnuggets.com/2020/01/decade-data-science.html
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2 Questions for a Junior Data Scientist
Academic credentials and experience with previous machine learning projects are important for kicking off a data science career. However, landing your first job out of school will require you to extend your thinking about projects and problems. Learn how one interviewer honed in on desired skills by considering these two questions.https://www.kdnuggets.com/2020/01/questions-junior-data-scientist.html
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NLP Year in Review — 2019
In this blog post, I want to highlight some of the most important stories related to machine learning and NLP that I came across in 2019.https://www.kdnuggets.com/2020/01/nlp-year-review-2019.html
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Top 5 AI trends for 2020
We are all witnessing a staggering growth of AI technology with so many new benefits for people while also changing the way we live and work. As AI continues to grow, which applications will have a significant impact in 2020?https://www.kdnuggets.com/2020/01/top-5-ai-trends-2020.html
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Artificial Intelligence Books to Read in 2020
Here are some AI-related books that I’ve read and recommend for you to add to your 2020 reading list!https://www.kdnuggets.com/2020/01/artificial-intelligence-books-read-2020.html
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I wanna be a data scientist, but… how?">I wanna be a data scientist, but… how?
It’s easy to say "I wanna be a data scientist," but... where do you start? How much time is needed to be desired by companies? Do you need a Master’s degree? Do you need to know every mathematical concept ever derived? The journey might be long, but follow this plan to help you keep moving forward toward your career goal.https://www.kdnuggets.com/2020/01/wanna-be-data-scientist.html
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Microsoft Introduces Project Petridish to Find the Best Neural Network for Your Problem">Microsoft Introduces Project Petridish to Find the Best Neural Network for Your Problem
The new algorithm takes a novel approach to neural architecture search.https://www.kdnuggets.com/2020/01/microsoft-introduces-project-petridish-best-neural-network.html
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Top 10 Technology Trends for 2020">Top 10 Technology Trends for 2020
With integrations of multiple emerging technologies just in the past year, AI development continues at a fast pace. Following the blueprint of science and technology advancements in 2019, we predict 10 trends we expect to see in 2020 and beyond.https://www.kdnuggets.com/2020/01/top-10-technology-trends-2020.html
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An Introductory Guide to NLP for Data Scientists with 7 Common Techniques">An Introductory Guide to NLP for Data Scientists with 7 Common Techniques
Data Scientists work with tons of data, and many times that data includes natural language text. This guide reviews 7 common techniques with code examples to introduce you the essentials of NLP, so you can begin performing analysis and building models from textual data.https://www.kdnuggets.com/2020/01/intro-guide-nlp-data-scientists.html
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Stock Market Forecasting Using Time Series Analysis
Time series analysis will be the best tool for forecasting the trend or even future. The trend chart will provide adequate guidance for the investor. So let us understand this concept in great detail and use a machine learning technique to forecast stocks.https://www.kdnuggets.com/2020/01/stock-market-forecasting-time-series-analysis.html
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Top 5 must-have Data Science skills for 2020">Top 5 must-have Data Science skills for 2020
The standard job description for a Data Scientist has long highlighted skills in R, Python, SQL, and Machine Learning. With the field evolving, these core competencies are no longer enough to stay competitive in the job market.https://www.kdnuggets.com/2020/01/top-5-data-science-skills-2020.html
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5 Ways AI Is Changing The Healthcare Industry
The healthcare AI market is expected to reach 28 billion dollars by the year 2025. With such exponential growth, AI is undoubtedly likely to bring some drastic changes in the healthcare industry. Let’s look at five ways of how AI has changed the healthcare industry.https://www.kdnuggets.com/2020/01/5-ways-ai-changing-healthcare-industry.html
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3 common data science career transitions, and how to make them happen
Breaking into a career in Data Science can depend on where you start. See if you fit into one of these three categories of "newbies," and then find out how to make your professional transition into the field.https://www.kdnuggets.com/2020/01/3-common-data-science-career-transitions.html
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Cartoon: Teaching Ethics to AI
Ethics in AI has received significant attention recently, and the new KDnuggets cartoon examines the problem of teaching ethics to artificially intelligent entities.https://www.kdnuggets.com/2020/01/cartoon-teaching-ethics-ai.html
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Why Python is One of the Most Preferred Languages for Data Science?
Why do most data scientists love Python? Learn more about how so many well-developed Python packages can help you accomplish your crucial data science tasks.https://www.kdnuggets.com/2020/01/python-preferred-languages-data-science.html
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Accuracy vs Speed – what Data Scientists can learn from Search
Delivering accurate insights is the core function of any data scientist. Navigating the development road toward this goal can sometimes be tricky, especially when cross-collaboration is required, and these lessons learned from building a search application will help you negotiate the demands between accuracy and speed.https://www.kdnuggets.com/2020/01/accuracy-speed-search.html
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Towards a Quantitative Measure of Intelligence: Breaking Down One of the Most Important AI Papers of 2019, Part II
AI scientist Francois Chollet proposes a better framework for measuring the intelligence of AI systems.https://www.kdnuggets.com/2019/12/towards-quantitative-measure-intelligence-important-ai-paper-2019-2.html
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Random Forest® vs Neural Networks for Predicting Customer Churn
Let us see how random forest competes with neural networks for solving a real world business problem.https://www.kdnuggets.com/2019/12/random-forest-vs-neural-networks-predicting-customer-churn.html
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KDnuggets Cartoon in an English textbook?
KDnuggets is not only for learning about AI, Data Science, and Machine Learning. A KDnuggets cartoon has been included in an English language and culture textbook for French high-school students.https://www.kdnuggets.com/2019/12/kdnuggets-cartoon-textbook.html
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What is a Data Scientist Worth?">What is a Data Scientist Worth?
What is the Salary of a Data Scientist in 2019? Let's have a look at some data to see how we can answer that question.https://www.kdnuggets.com/2019/12/data-scientist-worth.html
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The Most In Demand Tech Skills for Data Scientists
By the end of this article you’ll know which technologies are becoming more popular with employers and which are becoming less popular.https://www.kdnuggets.com/2019/12/most-demand-tech-skills-data-scientists.html
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Interpretability part 3: opening the black box with LIME and SHAP
The third part in a series on leveraging techniques to take a look inside the black box of AI, this guide considers methods that try to explain each prediction instead of establishing a global explanation.https://www.kdnuggets.com/2019/12/interpretability-part-3-lime-shap.html
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The 4 fastest ways NOT to get hired as a data scientist
Ready to try to get hired as a data scientist for the first time? Avoiding these common mistakes won’t guarantee an offer, but not avoiding them is a sure fire way for your application to be tossed into the trash bin.https://www.kdnuggets.com/2019/12/4-ways-not-hired-data-scientist.html
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Automatic Text Summarization in a Nutshell
Marketing scientist Kevin Gray asks Dr. Anna Farzindar of the University of Southern California about Automatic Text Summarization and the various ways it is used.https://www.kdnuggets.com/2019/12/automatic-text-summarization-nutshell.html
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Let’s Build an Intelligent Chatbot
Check out this step by step approach to building an intelligent chatbot in Python.https://www.kdnuggets.com/2019/12/build-intelligent-chatbot.html
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Deploying a pretrained GPT-2 model on AWS
This post attempts to summarize my recent detour into NLP, describing how I exposed a Huggingface pre-trained Language Model (LM) on an AWS-based web application.https://www.kdnuggets.com/2019/12/deploying-pretrained-gpt-2-model-aws.html
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Interpretability: Cracking open the black box, Part 2
The second part in a series on leveraging techniques to take a look inside the black box of AI, this guide considers post-hoc interpretation that is useful when the model is not transparent.https://www.kdnuggets.com/2019/12/interpretability-black-box-part-2.html
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NeurIPS 2019 Outstanding Paper Awards
NeurIPS 2019 is underway in Vancouver, and the committee has just recently announced this year's Outstanding Paper Awards. Find out what the selections were, along with some additional info on NeurIPS papers, here.https://www.kdnuggets.com/2019/12/neurips-2019-paper-awards.html
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Intro to Grafana: Installation, Configuration, and Building the First Dashboard
One of the biggest highlights of Grafana is the ability to bring several data sources together in one dashboard with adding rows that will host individual panels. Let's look at installing, configuring, and creating our first dashboard using Grafana.https://www.kdnuggets.com/2019/12/intro-grafana-installation-configuration-building-first-dashboard.html
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The 4 Hottest Trends in Data Science for 2020">The 4 Hottest Trends in Data Science for 2020
The field of Data Science is growing with new capabilities and reach into every industry. With digital transformations occurring in organizations around the world, 2019 included trends of more companies leveraging more data to make better decisions. Check out these next trends in Data Science expected to take off in 2020.https://www.kdnuggets.com/2019/12/4-hottest-trends-data-science-2020.html
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5 Techniques to Prevent Overfitting in Neural Networks
In this article, I will present five techniques to prevent overfitting while training neural networks.https://www.kdnuggets.com/2019/12/5-techniques-prevent-overfitting-neural-networks.html
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The Rise of User-Generated Data Labeling
Let’s say your project is humongous and needs data labeling to be done continuously - while you’re on-the-go, sleeping, or eating. I’m sure you’d appreciate User-generated Data Labeling. I’ve got 6 interesting examples to help you understand this, let’s dive right in!https://www.kdnuggets.com/2019/12/rise-user-generated-data-labeling.html
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Data Science Curriculum Roadmap">Data Science Curriculum Roadmap
What follows is a set of broad recommendations, and it will inevitably require a lot of adjustments in each implementation. Given that caveat, here are our curriculum recommendations.https://www.kdnuggets.com/2019/12/data-science-curriculum-roadmap.html
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Open Source Projects by Google, Uber and Facebook for Data Science and AI">Open Source Projects by Google, Uber and Facebook for Data Science and AI
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.https://www.kdnuggets.com/2019/11/open-source-projects-google-uber-facebook-data-science-ai.html
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Can Neural Networks Develop Attention? Google Thinks they Can
Google recently published some work about modeling attention mechanisms in deep neural networks.https://www.kdnuggets.com/2019/11/neural-networks-develop-attention-google.html
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Text Encoding: A Review
We will focus here exactly on that part of the analysis that transforms words into numbers and texts into number vectors: text encoding.https://www.kdnuggets.com/2019/11/text-encoding-review.html
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Neural Networks 201: All About Autoencoders
Autoencoders can be a very powerful tool for leveraging unlabeled data to solve a variety of problems, such as learning a "feature extractor" that helps build powerful classifiers, finding anomalies, or doing a Missing Value Imputation.https://www.kdnuggets.com/2019/11/all-about-autoencoders.html
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Pro Tips: How to deal with Class Imbalance and Missing Labels
Your spectacularly-performing machine learning model could be subject to the common culprits of class imbalance and missing labels. Learn how to handle these challenges with techniques that remain open areas of new research for addressing real-world machine learning problems.https://www.kdnuggets.com/2019/11/tips-class-imbalance-missing-labels.html
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On the sensationalism of artificial intelligence news
With artificial intelligence and machine learning now a mainstay of our daily awareness, news organizations have been seen to overstate the reality behind progress in the field. Learn more about recent examples of media hyperbole and explore why this may be happening.https://www.kdnuggets.com/2019/11/sensationalism-artificial-intelligence-news.html
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The Complete Data Science LinkedIn Profile Guide">The Complete Data Science LinkedIn Profile Guide
With so many Data Scientists showing up on LinkedIn, it's time to make sure your profile is top-notch because your talent is still highly sought after. Recruitment specialists want to find you fast, and this guide will help you create the best profile to feature your expertise.https://www.kdnuggets.com/2019/11/data-science-linkedin-profile-guide.html
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10 Free Must-read Books on AI">10 Free Must-read Books on AI
Artificial Intelligence continues to fill the media headlines while scientists and engineers rapidly expand its capabilities and applications. With such explosive growth in the field, there is a great deal to learn. Dive into these 10 free books that are must-reads to support your AI study and work.https://www.kdnuggets.com/2019/11/10-free-must-read-books-ai.html
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Build an Artificial Neural Network From Scratch: Part 1
This article focused on building an Artificial Neural Network using the Numpy Python library.https://www.kdnuggets.com/2019/11/build-artificial-neural-network-scratch-part-1.html
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AutoML for Temporal Relational Data: A New Frontier
While AutoML started out as an automation approach to develop optimal machine learning pipelines, extensions of AutoML to Data Science embedded products can now enable the processing of much more, including temporal relational data.https://www.kdnuggets.com/2019/10/automl-temporal-relational-data.html
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Introduction to Natural Language Processing (NLP)
Have you ever wondered how your personal assistant (e.g: Siri) is built? Do you want to build your own? Perfect! Let’s talk about Natural Language Processing.https://www.kdnuggets.com/2019/10/introduction-natural-language-processing.html
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Everything a Data Scientist Should Know About Data Management">Everything a Data Scientist Should Know About Data Management
For full-stack data science mastery, you must understand data management along with all the bells and whistles of machine learning. This high-level overview is a road map for the history and current state of the expansive options for data storage and infrastructure solutions.https://www.kdnuggets.com/2019/10/data-scientist-data-management.html
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How to Write Web Apps Using Simple Python for Data Scientists
Convert your Data Science Projects into cool apps easily without knowing any web frameworks.https://www.kdnuggets.com/2019/10/write-web-apps-using-simple-python-data-scientists.html
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How YouTube is Recommending Your Next Video">How YouTube is Recommending Your Next Video
If you are interested in learning more about the latest Youtube recommendation algorithm paper, read this post for details on its approach and improvements.https://www.kdnuggets.com/2019/10/youtube-recommending-next-video.html
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This Microsoft Neural Network can Answer Questions About Scenic Images with Minimum Training
Recently, a group of AI experts from Microsoft Research published a paper proposing a method for scene understanding that combines two key tasks: image captioning and visual question answering (VQA).https://www.kdnuggets.com/2019/10/microsoft-neural-network-answer-questions-scenic-images-minimum-training.html
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Writing Your First Neural Net in Less Than 30 Lines of Code with Keras
Read this quick overview of neural networks and learn how to implement your first in very few lines using Keras.https://www.kdnuggets.com/2019/10/writing-first-neural-net-less-30-lines-code-keras.html
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Artificial Intelligence: Salaries Heading Skyward
While the average salary for a Software Engineer is around $100,000 to $150,000, to make the big bucks you want to be an AI or Machine Learning (Specialist/Scientist/Engineer.)https://www.kdnuggets.com/2019/10/artificial-intelligence-salaries-heading-skyward.html
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How to Become a (Good) Data Scientist – Beginner Guide">How to Become a (Good) Data Scientist – Beginner Guide
A guide covering the things you should learn to become a data scientist, including the basics of business intelligence, statistics, programming, and machine learning.https://www.kdnuggets.com/2019/10/good-data-scientist-beginner-guide.html
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The 5 Classification Evaluation Metrics Every Data Scientist Must Know
This post is about various evaluation metrics and how and when to use them.https://www.kdnuggets.com/2019/10/5-classification-evaluation-metrics-every-data-scientist-must-know.html
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Top 7 Things I Learned in my Data Science Masters
Even though I’m still in my studies, here’s a list of the most important things I’ve learned (as of yet).https://www.kdnuggets.com/2019/10/top-7-things-learned-data-science-masters.html
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KDnuggets™ News 19:n38, Oct 9: The Last SQL Guide for Data Analysis; 4 Quadrants of Data Science Skills and 7 steps for Viral Data Visualization
Read a comprehensive SQL guide for data analysis; Learn how to choose the right clustering algorithm for your data; Find out how to create a viral DataViz using the data from Data Science Skills poll; Enroll in any of 10 Free Top Notch Natural Language Processing Courses; and more.https://www.kdnuggets.com/2019/n38.html
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Introduction to Artificial Neural Networks
In this article, we’ll try to cover everything related to Artificial Neural Networks or ANN.https://www.kdnuggets.com/2019/10/introduction-artificial-neural-networks.html
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The 4 Quadrants of Data Science Skills and 7 Principles for Creating a Viral Data Visualization">The 4 Quadrants of Data Science Skills and 7 Principles for Creating a Viral Data Visualization
As a data scientist, your most important skill is creating meaningful visualizations to disseminate knowledge and impact your organization or client. These seven principals will guide you toward developing charts with clarity, as exemplified with data from a recent KDnuggets poll.https://www.kdnuggets.com/2019/10/4-quadrants-data-science-skills-data-visualization.html
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OpenAI Tried to Train AI Agents to Play Hide-And-Seek but Instead They Were Shocked by What They Learned
OpenAI trained agents in a simple game of hide-and-seek and learned many other different skills in the process.https://www.kdnuggets.com/2019/10/openai-tried-train-ai-agents-play-hide-seek-instead-shocked-learned.html