Search results for NLP
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Accelerated Natural Language Processing: A Free Course From Amazon
Amazon's Machine Learning University is making its online courses available to the public, starting with this Accelerated Natural Language Processing offering.https://www.kdnuggets.com/2020/08/accelerated-nlp-free-amazon-machine-learning-university.html
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Content-Based Recommendation System using Word Embeddings
This article explores how average Word2Vec and TF-IDF Word2Vec can be used to build a recommendation engine.https://www.kdnuggets.com/2020/08/content-based-recommendation-system-word-embeddings.html
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GitHub is the Best AutoML You Will Ever Need
This article uses PyCaret 2.0, an open source, low-code machine learning library in Python to develop a simple AutoML solution and deploy it as a Docker container using GitHub actions.https://www.kdnuggets.com/2020/08/github-best-automl-ever-need.html
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How Natural Language Processing Is Changing Data Analytics
As it becomes more prevalent, NLP will enable humans to interact with computers in ways not possible before. This new type of collaboration will allow improvements in a wide variety of human endeavors, including business, philanthropy, health, and communication.https://www.kdnuggets.com/2020/08/natural-language-processing-changing-data-analytics.html
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Exploring GPT-3: A New Breakthrough in Language Generation
GPT-3 is the largest natural language processing (NLP) transformer released to date, eclipsing the previous record, Microsoft Research’s Turing-NLG at 17B parameters, by about 10 times. This has resulted in an explosion of demos: some good, some bad, all interesting.https://www.kdnuggets.com/2020/08/exploring-gpt-3-breakthrough-language-generation.html
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Data Scientist Job Market 2020
With an analysis of over a thousand Data Scientist job descriptions in the USA, check out the trends for 2020 and current expectations on new positions in the field, including credentials, experience, and programming languages.https://www.kdnuggets.com/2020/08/data-scientist-job-market-2020.html
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Metrics to Use to Evaluate Deep Learning Object Detectors
It's important to understand which metric should be used to evaluate trained object detectors and which one is more important. Is mAP alone enough to evaluate the objector models? Can the same metric be used to evaluate object detectors on validation set and test set?https://www.kdnuggets.com/2020/08/metrics-evaluate-deep-learning-object-detectors.html
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Word Embedding Fairness Evaluation
With word embeddings being such a crucial component of NLP, the reported social biases resulting from the training corpora could limit their application. The framework introduced here intends to measure the fairness in word embeddings to better understand these potential biases.https://www.kdnuggets.com/2020/08/word-embedding-fairness-evaluation.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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Awesome Machine Learning and AI Courses">Awesome Machine Learning and AI Courses
Check out this list of awesome, free machine learning and artificial intelligence courses with video lectures.https://www.kdnuggets.com/2020/07/awesome-machine-learning-ai-courses.html
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5 Big Trends in Data Analytics
Data analytics is the process by which data is deconstructed and examined for useful patterns and trends. Here we explore five trends making data analytics even more useful.https://www.kdnuggets.com/2020/07/5-big-trends-data-analytics.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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Building a Content-Based Book Recommendation Engine
In this blog, we will see how we can build a simple content-based recommender system using Goodreads data.https://www.kdnuggets.com/2020/07/building-content-based-book-recommendation-engine.html
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Is depth useful for self-attention?
Learn about recent research that is the first to explain a surprising phenomenon where in BERT/Transformer-like architectures, deepening the network does not seem to be better than widening (or, increasing the representation dimension). This empirical observation is in contrast to a fundamental premise in deep learning.https://www.kdnuggets.com/2020/07/depth-useful-self-attention.html
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Labelling Data Using Snorkel
In this tutorial, we walk through the process of using Snorkel to generate labels for an unlabelled dataset. We will provide you examples of basic Snorkel components by guiding you through a real clinical application of Snorkel.https://www.kdnuggets.com/2020/07/labelling-data-using-snorkel.html
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What I learned from looking at 200 machine learning tools
While hundreds of machine learning tools are available today, the ML software landscape may still be underdeveloped with more room to mature. This review considers the state of ML tools, existing challenges, and which frameworks are addressing the future of machine learning software.https://www.kdnuggets.com/2020/07/200-machine-learning-tools.html
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Recurrent Neural Networks (RNN): Deep Learning for Sequential Data
Recurrent Neural Networks can be used for a number of ways such as detecting the next word/letter, forecasting financial asset prices in a temporal space, action modeling in sports, music composition, image generation, and more.https://www.kdnuggets.com/2020/07/rnn-deep-learning-sequential-data.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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The Bitter Lesson of Machine Learning">The Bitter Lesson of Machine Learning
Since that renowned conference at Dartmouth College in 1956, AI research has experienced many crests and troughs of progress through the years. From the many lessons learned during this time, some have needed to be re-learned -- repeatedly -- and the most important of which has also been the most difficult to accept by many researchers.https://www.kdnuggets.com/2020/07/bitter-lesson-machine-learning.html
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Clustering Uber Rideshare Data
This blog discusses clustering the Uber ridesharing dataset, with a focus on interpretation and understanding the concepts in the real world.https://www.kdnuggets.com/2020/07/clustering-rideshare-data-uber.html
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Deep Learning in Finance: Is This The Future of the Financial Industry?
Get a handle on how deep learning is affecting the finance industry, and identify resources to further this understanding and increase your knowledge of the various aspects.https://www.kdnuggets.com/2020/07/deep-learning-finance-future-financial-industry.html
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5 Things You Don’t Know About PyCaret
In comparison with the other open source machine learning libraries, PyCaret is an alternate low-code library that can be used to replace hundreds of lines of code with a few words only.https://www.kdnuggets.com/2020/07/5-things-pycaret.html
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Pull and Analyze Financial Data Using a Simple Python Package
We demonstrate a simple Python script/package to help you pull financial data (all the important metrics and ratios that you can think of) and plot them.https://www.kdnuggets.com/2020/07/pull-analyze-financial-data-simple-python-package.html
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Deploy Machine Learning Pipeline on AWS Fargate">Deploy Machine Learning Pipeline on AWS Fargate
A step-by-step beginner’s guide to containerize and deploy ML pipeline serverless on AWS Fargate.https://www.kdnuggets.com/2020/07/deploy-machine-learning-pipeline-aws-fargate.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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PyTorch Multi-GPU Metrics Library and More in New PyTorch Lightning Release
PyTorch Lightning, a very light-weight structure for PyTorch, recently released version 0.8.1, a major milestone. With incredible user adoption and growth, they are continuing to build tools to easily do AI research.https://www.kdnuggets.com/2020/07/pytorch-multi-gpu-metrics-library-pytorch-lightning.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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Best Machine Learning Youtube Videos Under 10 Minutes
The Youtube videos on this list cover concepts such as what machine learning is, the basics of natural language processing, how computer vision works, and machine learning in video games.https://www.kdnuggets.com/2020/06/best-machine-learning-youtube-videos-under-10-minutes.html
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A Complete guide to Google Colab for Deep Learning">A Complete guide to Google Colab for Deep Learning
Google Colab is a widely popular cloud service for machine learning that features free access to GPU and TPU computing. Follow this detailed guide to help you get up and running fast to develop your next deep learning algorithms with Colab.https://www.kdnuggets.com/2020/06/google-colab-deep-learning.html
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Deploy a Machine Learning Pipeline to the Cloud Using a Docker Container
In this tutorial, we will use a previously-built machine learning pipeline and Flask app to demonstrate how to deploy a machine learning pipeline as a web app using the Microsoft Azure Web App Service.https://www.kdnuggets.com/2020/06/deploy-machine-learning-pipeline-cloud-docker.html
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Top 6 Reasons Data Scientists Should Know Java
There are many reasons why data scientists should learn Java. Read this overview of 6 specific reasons to help decide if Java might be right for your projects.https://www.kdnuggets.com/2020/06/top-6-reasons-data-scientists-know-java.html
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Easy Speech-to-Text with Python">Easy Speech-to-Text with Python
In this blog, I am demonstrating how to convert speech to text using Python. This can be done with the help of the “Speech Recognition” API and “PyAudio” library.https://www.kdnuggets.com/2020/06/easy-speech-text-python.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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Deep Learning for Coders with fastai and PyTorch: The Free eBook">Deep Learning for Coders with fastai and PyTorch: The Free eBook
If you are interested in a top-down, example-driven book on deep learning, check out the draft of the upcoming Deep Learning for Coders with fastai & PyTorch from fast.ai team.https://www.kdnuggets.com/2020/06/fastai-book-free-ebook.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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5 Machine Learning Papers on Face Recognition
This article will highlight some of that research and introduce five machine learning papers on face recognition.https://www.kdnuggets.com/2020/05/5-machine-learning-papers-face-recognition.html
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10 Useful Machine Learning Practices For Python Developers
While you may be a data scientist, you are still a developer at the core. This means your code should be skillful. Follow these 10 tips to make sure you quickly deliver bug-free machine learning solutions.https://www.kdnuggets.com/2020/05/10-useful-machine-learning-practices-python-developers.html
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Build and deploy your first machine learning web app">Build and deploy your first machine learning web app
A beginner’s guide to train and deploy machine learning pipelines in Python using PyCaret.https://www.kdnuggets.com/2020/05/build-deploy-machine-learning-web-app.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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AI and Machine Learning for Healthcare">AI and Machine Learning for Healthcare
Traditional business and technology sectors are not the only fields being impacted by AI. Healthcare is a field that is thought to be highly suitable for the applications of AI tools and techniques.https://www.kdnuggets.com/2020/05/ai-machine-learning-healthcare.html
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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.https://www.kdnuggets.com/2020/05/machine-learning-power-bi-pycaret.html
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Text Mining in Python: Steps and Examples
The majority of data exists in the textual form which is a highly unstructured format. In order to produce meaningful insights from the text data then we need to follow a method called Text Analysis.https://www.kdnuggets.com/2020/05/text-mining-python-steps-examples.html
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Will Machine Learning Engineers Exist in 10 Years?
As can be common in many technical fields, the landscape of specialized roles is evolving quickly. With more people learning at least a little machine learning, this could eventually become a common skill set for every software engineer.https://www.kdnuggets.com/2020/05/machine-learning-engineers-not-exist-10-years.html
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Chatbots in a Nutshell
Marketing scientist Kevin Gray asks Dr. Anna Farzindar of the University of Southern California about chatbots and the ways they are used.https://www.kdnuggets.com/2020/05/chatbots-nutshell.html
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Natural Language Processing Recipes: Best Practices and Examples">Natural Language Processing Recipes: Best Practices and Examples
Here is an overview of another great natural language processing resource, this time from Microsoft, which demonstrates best practices and implementation guidelines for a variety of tasks and scenarios.https://www.kdnuggets.com/2020/05/natural-language-processing-recipes-best-practices-examples.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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Fighting Coronavirus With AI: Improving Testing with Deep Learning and Computer Vision
This post will cover how testing is done for the coronavirus, why it's important in battling the pandemic, and how deep learning tools for medical imaging can help us improve the quality of COVID-19 testing.https://www.kdnuggets.com/2020/04/fighting-coronavirus-ai-improving-testing-deep-learning-computer-vision.html
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Free High-Quality Machine Learning & Data Science Books & Courses: Quarantine Edition">Free High-Quality Machine Learning & Data Science Books & Courses: Quarantine Edition
If you find yourself quarantined and looking for free learning materials in the way of books and courses to sharpen your data science and machine learning skills, this collection of articles I have previously written curating such things is for you.https://www.kdnuggets.com/2020/04/machine-learning-data-science-books-courses-quarantine.html
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Announcing PyCaret 1.0.0
An open source low-code machine learning library in Python. PyCaret is an alternate low-code library that can be used to replace hundreds of lines of code with few words only. This makes experiments exponentially fast and efficient.https://www.kdnuggets.com/2020/04/announcing-pycaret.html
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The Benefits & Examples of Using Apache Spark with PySpark
Apache Spark runs fast, offers robust, distributed, fault-tolerant data objects, and integrates beautifully with the world of machine learning and graph analytics. Learn more here.https://www.kdnuggets.com/2020/04/benefits-apache-spark-pyspark.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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Dive Into Deep Learning: The Free eBook
This freely available text on deep learning is fully interactive and incredibly thorough. Check out "Dive Into Deep Learning" now and increase your neural networks theoretical understanding and practical implementation skills.https://www.kdnuggets.com/2020/04/dive-deep-learning-book.html
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Can Java Be Used for Machine Learning and Data Science?">Can Java Be Used for Machine Learning and Data Science?
While Python and R have become favorites for building these programs, many organizations are turning to Java application development to meet their needs. Read on to see how, and why.https://www.kdnuggets.com/2020/04/java-used-machine-learning-data-science.html
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Peer Reviewing Data Science Projects">Peer Reviewing Data Science Projects
In any technical development field, having other practitioners review your work before shipping code off to production is a valuable support tool to make sure your work is error-proof. Even through your preparation for the review, improvements might be discovered and then other issues that escaped your awareness can be spotted by outsiders. This peer scrutiny can also be applied to Data Science, and this article outlines a process that you can experiment with in your team.https://www.kdnuggets.com/2020/04/peer-reviewing-data-science-projects.html
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How Deep Learning is Accelerating Drug Discovery in Pharmaceuticals">How Deep Learning is Accelerating Drug Discovery in Pharmaceuticals
The goal of this essay is to discuss meaningful machine learning progress in the real-world application of drug discovery. There’s even a solid chance of the deep learning approach to drug discovery changing lives for the better doing meaningful good in the world.https://www.kdnuggets.com/2020/04/deep-learning-accelerating-drug-discovery-pharmaceuticals.html
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Upcoming Webinars and online events in AI, Data Science, Machine Learning
Use the time at home productively and learn something new! We bring you a selection of upcoming interesting webinars and online events on AI, Data Science, Machine Learning, and related topics.https://www.kdnuggets.com/2020/04/upcoming-webinars-online-events.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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3 Best Sites to Find Datasets for your Data Science Projects
When first learning data science, you will inevitably find yourself looking for more datasets to practice with. Here, we recommend the 3 best sites to find datasets to spark your next data science project.https://www.kdnuggets.com/2020/04/best-sites-datasets-data-science.html
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10 Must-read Machine Learning Articles (March 2020)">10 Must-read Machine Learning Articles (March 2020)
This list will feature some of the recent work and discoveries happening in machine learning, as well as guides and resources for both beginner and intermediate data scientists.https://www.kdnuggets.com/2020/04/10-must-read-machine-learning-articles-march-2020.html
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2 Things You Need to Know about Reinforcement Learning – Computational Efficiency and Sample Efficiency
Experimenting with different strategies for a reinforcement learning model is crucial to discovering the best approach for your application. However, where you land can have significant impact on your system's energy consumption that could cause you to think again about the efficiency of your computations.https://www.kdnuggets.com/2020/04/2-things-reinforcement-learning.html
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Simple Question Answering (QA) Systems That Use Text Similarity Detection in Python
How exactly are smart algorithms able to engage and communicate with us like humans? The answer lies in Question Answering systems that are built on a foundation of Machine Learning and Natural Language Processing. Let's build one here.https://www.kdnuggets.com/2020/04/simple-question-answering-systems-text-similarity-python.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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Microsoft Research Uses Transfer Learning to Train Real-World Autonomous Drones
The new research uses policies learned in simulations in real world drone environments.https://www.kdnuggets.com/2020/03/microsoft-research-transfer-learning-train-real-world-autonomous-drones.html
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Alternative Data, Text Analytics, and Sentiment Analysis in Trading and Investing
Different types of data beyond your typical dollars and cents have been used in the finance industry for many years. By leveraging machine learning, sentiment data is expected to play an increasingly dominant role in the investment industry, and this article highlights some special challenges of its use in trading models.https://www.kdnuggets.com/2020/03/alternative-data-text-analytics-sentiment-analysis-investing.html
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Top AI Resources – Directory for Remote Learning
Whether you are just learning Data Science, a current professional, or just interested, it's crucial to keep the mind stimulated and stay current. With conferences, schools, and travel largely canceled because of #coronavirus, these remote resources will help you stay engaged.https://www.kdnuggets.com/2020/03/top-ai-resources-remote-learning.html
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Why BERT Fails in Commercial Environments
The deployment of large transformer-based models in dynamic commercial environments often yields poor results. This is because commercial environments are usually dynamic, and contain continuous domain shifts between inference and training data.https://www.kdnuggets.com/2020/03/bert-fails-commercial-environments.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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21 Machine Learning Projects – Datasets Included
Upgrading your machine learning, AI, and Data Science skills requires practice. To practice, you need to develop models with a large amount of data. Finding good datasets to work with can be challenging, so this article discusses more than 20 great datasets along with machine learning project ideas for you to tackle today.https://www.kdnuggets.com/2020/03/20-machine-learning-datasets-project-ideas.html
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Tokenization and Text Data Preparation with TensorFlow & Keras
This article will look at tokenizing and further preparing text data for feeding into a neural network using TensorFlow and Keras preprocessing tools.https://www.kdnuggets.com/2020/03/tensorflow-keras-tokenization-text-data-prep.html
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20 AI, Data Science, Machine Learning Terms You Need to Know in 2020 (Part 2)">20 AI, Data Science, Machine Learning Terms You Need to Know in 2020 (Part 2)
We explain important AI, ML, Data Science terms you should know in 2020, including Double Descent, Ethics in AI, Explainability (Explainable AI), Full Stack Data Science, Geospatial, GPT-2, NLG (Natural Language Generation), PyTorch, Reinforcement Learning, and Transformer Architecture.https://www.kdnuggets.com/2020/03/ai-data-science-machine-learning-key-terms-part2.html
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Topics
In order to best organize our content, KDnuggets publishes articles which are categorized into the the following topics. Artificial Intelligence Here you will Read more »https://www.kdnuggets.com/topic
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Microsoft Open Sources ZeRO and DeepSpeed: The Technologies Behind the Biggest Language Model in History
The two efforts enable the training of deep learning models at massive scale.https://www.kdnuggets.com/2020/02/microsoft-open-sources-zero-deepspeed-language-model.html
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Audio Data Analysis Using Deep Learning with Python (Part 1)">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.https://www.kdnuggets.com/2020/02/audio-data-analysis-deep-learning-python-part-1.html
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20 AI, Data Science, Machine Learning Terms You Need to Know in 2020 (Part 1)">20 AI, Data Science, Machine Learning Terms You Need to Know in 2020 (Part 1)
2020 is well underway, and we bring you 20 AI, data science, and machine learning terms we should all be familiar with as the year marches onward.https://www.kdnuggets.com/2020/02/ai-data-science-machine-learning-key-terms-2020.html
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Inside The Machine Learning that Google Used to Build Meena: A Chatbot that Can Chat About Anything
Meena is one of the major milestones in the history of NLU. How did Google build it?https://www.kdnuggets.com/2020/02/inside-machine-learning-google-build-meena-chatbot.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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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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Past 2020 Meetings / Online Events on AI, Analytics, Big Data, Data Science, and Machine Learning
Past | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec Read more »https://www.kdnuggets.com/meetings/past-meetings-2020.html
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Top 10 AI, Machine Learning Research Articles to know">Top 10 AI, Machine Learning Research Articles to know
We’ve seen many predictions for what new advances are expected in the field of AI and machine learning. Here, we review a “data set” based on what researchers were apparently studying at the turn of the decade to take a fresh glimpse into what might come to pass in 2020.https://www.kdnuggets.com/2020/01/top-10-ai-ml-articles-to-know.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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Top Stories, Jan 13-19: Math for Programmers!; Decision Tree Algorithm, Explained
Also: Top 9 Mobile Apps for Learning and Practicing Data Science; Classify A Rare Event Using 5 Machine Learning Algorithms; The Future of Machine Learning; The Book to Start You on Machine Learninghttps://www.kdnuggets.com/2020/01/top-news-week-0113-0119.html
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The Future of Machine Learning
This summary overviews the keynote at TensorFlow World by Jeff Dean, Head of AI at Google, that considered the advancements of computer vision and language models and predicted the direction machine learning model building should follow for the future.https://www.kdnuggets.com/2020/01/future-machine-learning.html
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7 AI Use Cases Transforming Live Sports Production and Distribution
Here are 7 powerful AI led use cases both for linear television and for OTT apps that are transforming the live sports production landscape.https://www.kdnuggets.com/2020/01/7-ai-use-cases-transforming-live-sports-production-distribution.html
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Graph Machine Learning Meets UX: An uncharted love affair
When machine learning tools are developed by technology first, they risk failing to deliver on what users actually need. It can also be difficult for development teams to establish meaningful direction. This article explores the challenges of designing an interface that enables users to visualise and interact with insights from graph machine learning, and explores the very new, uncharted relationship between machine learning and UX.https://www.kdnuggets.com/2020/01/graph-machine-learning-ux.html
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The Book to Start You on Machine Learning">The Book to Start You on Machine Learning
This book is thought for beginners in Machine Learning, that are looking for a practical approach to learning by building projects and studying the different Machine Learning algorithms within a specific context.https://www.kdnuggets.com/2020/01/book-start-machine-learning.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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A Comprehensive Guide to Natural Language Generation
Follow this overview of Natural Language Generation covering its applications in theory and practice. The evolution of NLG architecture is also described from simple gap-filling to dynamic document creation along with a summary of the most popular NLG models.https://www.kdnuggets.com/2020/01/guide-natural-language-generation.html
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H2O Framework for Machine Learning
This article is an overview of H2O, a scalable and fast open-source platform for machine learning. We will apply it to perform classification tasks.https://www.kdnuggets.com/2020/01/h2o-framework-machine-learning.html
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10 Best and Free Machine Learning Courses, Online
Getting ready to leap into the world of Data Science? Consider these top machine learning courses curated by experts to help you learn and thrive in this exciting field.https://www.kdnuggets.com/2019/12/best-free-machine-learning-courses-online.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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Build Pipelines with Pandas Using pdpipe">Build Pipelines with Pandas Using pdpipe
We show how to build intuitive and useful pipelines with Pandas DataFrame using a wonderful little library called pdpipe.https://www.kdnuggets.com/2019/12/build-pipelines-pandas-pdpipe.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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AI, Analytics, Machine Learning, Data Science, Deep Learning Technology Main Developments in 2019 and Key Trends for 2020">AI, Analytics, Machine Learning, Data Science, Deep Learning Technology Main Developments in 2019 and Key Trends for 2020
We asked leading experts - what are the most important developments of 2019 and 2020 key trends in AI, Analytics, Machine Learning, Data Science, and Deep Learning? This blog focuses mainly on technology and deployment.https://www.kdnuggets.com/2019/12/predictions-ai-machine-learning-data-science-technology.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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Deployment of Machine learning models using Flask
This blog will explain the basics of deploying a machine learning algorithm, focusing on developing a Naïve Bayes model for spam message identification, and using Flask to create an API for that model.https://www.kdnuggets.com/2019/12/excelr-deployment-machine-learning-flask.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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AI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments in 2019 and Key Trends for 2020">AI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments in 2019 and Key Trends for 2020
As we say goodbye to one year and look forward to another, KDnuggets has once again solicited opinions from numerous research & technology experts as to the most important developments of 2019 and their 2020 key trend predictions.https://www.kdnuggets.com/2019/12/predictions-ai-machine-learning-data-science-research.html
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10 Free Top Notch Machine Learning Courses">10 Free Top Notch Machine Learning Courses
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.https://www.kdnuggets.com/2019/12/10-free-top-notch-courses-machine-learning.html
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Enabling the Deep Learning Revolution
Deep learning models are revolutionizing the business and technology world with jaw-dropping performances in one application area after another. Read this post on some of the numerous composite technologies which allow deep learning its complex nonlinearity.https://www.kdnuggets.com/2019/12/enabling-deep-learning-revolution.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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Markov Chains: How to Train Text Generation to Write Like George R. R. Martin
Read this article on training Markov chains to generate George R. R. Martin style text.https://www.kdnuggets.com/2019/11/markov-chains-train-text-generation.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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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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Topics Extraction and Classification of Online Chats
This article provides covers how to automatically identify the topics within a corpus of textual data by using unsupervised topic modelling, and then apply a supervised classification algorithm to assign topic labels to each textual document by using the result of the previous step as target labels.https://www.kdnuggets.com/2019/11/topics-extraction-classification-online-chats.html
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Python Workout / Practices of a Python Pro / Classic Computer Science Problems in Python
Whether you’re a beginner or an expert, there’s always new ways you can improve your Python coding. Save 40% off this trio of Manning Python books today! Just enter the code nlpropython40 at checkout when you buy from manning.com.https://www.kdnuggets.com/2019/11/manning-python-books.html
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Transfer Learning Made Easy: Coding a Powerful Technique
While the revolution of deep learning now impacts our daily lives, these networks are expensive. Approaches in transfer learning promise to ease this burden by enabling the re-use of trained models -- and this hands-on tutorial will walk you through a transfer learning technique you can run on your laptop.https://www.kdnuggets.com/2019/11/transfer-learning-coding.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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Research Guide for Transformers
The problem with RNNs and CNNs is that they aren’t able to keep up with context and content when sentences are too long. This limitation has been solved by paying attention to the word that is currently being operated on. This guide will focus on how this problem can be addressed by Transformers with the help of deep learning.https://www.kdnuggets.com/2019/10/research-guide-transformers.html
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How Bayes’ Theorem is Applied in Machine Learning
Learn how Bayes Theorem is in Machine Learning for classification and regression!https://www.kdnuggets.com/2019/10/bayes-theorem-applied-machine-learning.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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Probability Learning: Bayes’ Theorem
Learn about one of the fundamental theorems of probability with an easy everyday example.https://www.kdnuggets.com/2019/10/probability-learning-bayes-theorem.html
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Beyond Word Embedding: Key Ideas in Document Embedding
This literature review on document embedding techniques thoroughly covers the many ways practitioners develop rich vector representations of text -- from single sentences to entire books.https://www.kdnuggets.com/2019/10/beyond-word-embedding-document-embedding.html
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Lemma, Lemma, Red Pyjama: Or, doing words with AI
If we want a machine learning model to be able to generalize these forms together, we need to map them to a shared representation. But when are two different words the same for our purposes? It depends.https://www.kdnuggets.com/2019/10/lemma-lemma-red-pyjama-words-ai.html
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Activation maps for deep learning models in a few lines of code">Activation maps for deep learning models in a few lines of code
We illustrate how to show the activation maps of various layers in a deep CNN model with just a couple of lines of code.https://www.kdnuggets.com/2019/10/activation-maps-deep-learning-models-lines-code.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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10 Free Top Notch Natural Language Processing Courses">10 Free Top Notch Natural Language Processing Courses
Are you looking to learn natural language processing? This collection of 10 free top notch courses will allow you to do just that, with something for every approach to learning NLP and its varied topics.https://www.kdnuggets.com/2019/10/10-free-top-notch-courses-natural-language-processing.html
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5 Fundamental AI Principles
While AI may appear magical at times, these five principles will help guide you to avoid pitfalls when leveraging this tech.https://www.kdnuggets.com/2019/10/5-fundamental-ai-principles.html
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Data Preparation for Machine learning 101: Why it’s important and how to do it
As data scientists who are the brains behind the AI-based innovations, you need to understand the significance of data preparation to achieve the desired level of cognitive capability for your models. Let’s begin.https://www.kdnuggets.com/2019/10/data-preparation-machine-learning-101.html
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Sentiment and Emotion Analysis for Beginners: Types and Challenges
There are three types of emotion AI, and their combinations. In this article, I’ll briefly go through these three types and the challenges of their real-life applications.https://www.kdnuggets.com/2019/10/sentiment-emotion-analysis-beginners-types-challenges.html
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How AI will transform healthcare (and can it fix the US healthcare system?)">How AI will transform healthcare (and can it fix the US healthcare system?)
This thorough review focuses on the impact of AI, 5G, and edge computing on the healthcare sector in the 2020s as well as a look at quantum computing's potential impact on AI, healthcare, and financial services.https://www.kdnuggets.com/2019/09/ai-transform-healthcare.html
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Natural Language in Python using spaCy: An Introduction
This article provides a brief introduction to working with natural language (sometimes called “text analytics”) in Python using spaCy and related libraries.https://www.kdnuggets.com/2019/09/natural-language-python-using-spacy-introduction.html
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12 Deep Learning Researchers and Leaders">12 Deep Learning Researchers and Leaders
Our list of deep learning researchers and industry leaders are the people you should follow to stay current with this wildly expanding field in AI. From early practitioners and established academics to entrepreneurs and today’s top corporate influencers, this diverse group of individuals is leading the way into tomorrow’s deep learning landscape.https://www.kdnuggets.com/2019/09/12-deep-learning-research-leaders.html
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A Single Function to Streamline Image Classification with Keras
We show, step-by-step, how to construct a single, generalized, utility function to pull images automatically from a directory and train a convolutional neural net model.https://www.kdnuggets.com/2019/09/single-function-streamline-image-classification-keras.html