API (87)

• Sentiment Analysis API vs Custom Text Classification: Which one to choose? - Nov 30, 2021.
  
  In this article, we are going to compare the sentiment extraction performance between Sentiment Analysis engines and Custom Text classification engines. The idea is to show pros and cons of these two types of engines on a concrete dataset.

  API, Sentiment Analysis, Text Classification

• Book Metadata and Cover Retrieval Using OCR and Google Books API - Nov 17, 2021.
  
  With KNIME extracting critical pieces of information from images becomes as easy as ABC.

  API, Google, Knime, Low-Code

• Deploying Your First Machine Learning API - Oct 14, 2021.
  
  Effortless way to develop and deploy your machine learning API using FastAPI and Deta.

  API, Deployment, FastAPI, Machine Learning, Python, spaCy

• KDnuggets™ News 21:n35, Sep 15: A Data Science Portfolio That Will Land You The Job; Top 18 Low-Code and No-Code Machine Learning Platforms - Sep 15, 2021.
  
  Here is a Data Science Portfolio that will land you the job; Review the top 18 Low-Code and No-Code Machine Learning platforms; Try these 8 Deep Learning Project Ideas for Beginners; Very useful - working with Python APIs for data science project.

  API, Deep Learning, Low-Code, No-Code, Portfolio, Project, Python

• Working with Python APIs For Data Science Project - Sep 10, 2021.
  
  In this article, we will work with YouTube Python API to collect video statistics from our channel using the requests python library to make an API call and save it as a Pandas DataFrame.

  API, Data Science, Project, Python

• Building RESTful APIs using Flask - May 21, 2021.
  
  Learn about using the lightweight web framework in Python from this article.

  API, Flask, Python, RESTful API

• Deploy a Dockerized FastAPI App to Google Cloud Platform - May 4, 2021.
  
  A short guide to deploying a Dockerized Python app to Google Cloud Platform using Cloud Run and a SQL instance.

  API, Deployment, Docker, FastAPI, Google Cloud

• How To Generate Meaningful Sentences Using a T5 Transformer - May 3, 2021.
  
  Read this article to see how to develop a text generation API using the T5 transformer.

  API, Hugging Face, Natural Language Generation, NLP, Python, Transformer

• KDnuggets™ News 21:n16, Apr 28: Data Science Books You Should Start Reading in 2021; Top 10 Must-Know Machine Learning Algorithms for Data Scientists - Apr 28, 2021.
  
  Data science is not about data – applying Dijkstra principle to data science; Data Science Books You Should Start Reading in 2021; How to ace A/B Testing Data Science Interviews; Top 10 Must-Know Machine Learning Algorithms for Data Scientists – Part 1; Production-Ready Machine Learning NLP API with FastAPI and spaCy

  A/B Testing, Algorithms, API, Books, Data Science, Interview, NLP, Statistics

• Production-Ready Machine Learning NLP API with FastAPI and spaCy - Apr 21, 2021.
  
  Learn how to implement an API based on FastAPI and spaCy for Named Entity Recognition (NER), and see why the author used FastAPI to quickly build a fast and robust machine learning API.

  API, FastAPI, NLP, Production, Python, spaCy

• How to Deploy a Flask API in Kubernetes and Connect it with Other Micro-services - Feb 9, 2021.
  
  A hands-on tutorial on how to implement your micro-service architecture using the powerful container orchestration tool Kubernetes.

  API, Containers, Flask, Kubernetes, MySQL, Python, SQL

• Build Your First Data Science Application - Feb 4, 2021.
  
  Check out these seven Python libraries to make your first data science MVP application.

  API, Data Science, Jupyter, Keras, numpy, Pandas, Plotly, Python, PyTorch, scikit-learn

• PerceptiLabs – A GUI and Visual API for TensorFlow - Oct 27, 2020.
  
  Recently released PerceptiLabs 0.11, is quickly becoming the GUI and visual API for TensorFlow. PerceptiLabs is built around a sophisticated visual ML modeling editor in which you drag and drop components and connect them together to form your model, automatically creating the underlying TensorFlow code. Try it now.

  API, Deep Learning, PerceptiLabs, TensorFlow

• KDnuggets™ News 20:n28, Jul 22: Data Science MOOCs are too Superficial; The Bitter Lesson of Machine Learning - Jul 22, 2020.
  
  Data Science MOOCs are too Superficial; The Bitter Lesson of Machine Learning; Building a REST API with Tensorflow Serving (Part 1); 3 Advanced Python Features You Should Know; Understanding How Neural Networks Think;

  API, Data Science, Machine Learning, MOOC, Neural Networks, Python, Richard Sutton, TensorFlow

• Building a REST API with Tensorflow Serving (Part 2) - Jul 21, 2020.
  
  This post is the second part of the tutorial of Tensorflow Serving in order to productionize Tensorflow objects and build a REST API to make calls to them.

  API, Docker, Keras, Python, TensorFlow

• Building a REST API with Tensorflow Serving (Part 1) - Jul 15, 2020.
  
  Part one of a tutorial to teach you how to build a REST API around functions or saved models created in Tensorflow. With Tensorflow Serving and Docker, defining endpoint URLs and sending HTTP requests is simple.

  API, Keras, Python, TensorFlow

• Optimize Response Time of your Machine Learning API In Production - May 1, 2020.
  
  This article demonstrates how building a smarter API serving Deep Learning models minimizes the response time.

  API, Machine Learning, Optimization, Production, Python

• Build PyTorch Models Easily Using torchlayers - Apr 9, 2020.
  
  torchlayers aims to do what Keras did for TensorFlow, providing a higher-level model-building API and some handy defaults and add-ons useful for crafting PyTorch neural networks.

  API, Keras, Neural Networks, Python, PyTorch

• 10 Must-read Machine Learning Articles (March 2020) - Apr 9, 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.

  AI, API, Cloud, Data Analytics, Datasets, fast.ai, Machine Learning, Neural Networks, Social Media

• How To Painlessly Analyze Your Time Series - Mar 26, 2020.
  
  The Matrix Profile is a powerful tool to help solve this dual problem of anomaly detection and motif discovery. Matrix Profile is robust, scalable, and largely parameter-free: we’ve seen it work for a wide range of metrics including website user data, order volume and other business-critical applications.

  Anomaly Detection, API, Python, Time Series

• Software Interfaces for Machine Learning Deployment - Mar 11, 2020.
  
  While building a machine learning model might be the fun part, it won't do much for anyone else unless it can be deployed into a production environment. How to implement machine learning deployments is a special challenge with differences from traditional software engineering, and this post examines a fundamental first step -- how to create software interfaces so you can develop deployments that are automated and repeatable.

  API, Deployment, Machine Learning, MLOps, Software Engineering

• KDnuggets™ News 20:n07, Feb 19: 20 AI, Data Science, Machine Learning Terms for 2020; Why Did I Reject a Data Scientist Job? - Feb 19, 2020.
  
  This week on KDnuggets: 20 AI, Data Science, Machine Learning Terms You Need to Know in 2020; Why Did I Reject a Data Scientist Job?; Fourier Transformation for a Data Scientist; Math for Programmers; Deep Neural Networks; Practical Hyperparameter Optimization; and much more!

  AI, API, Data Science, Data Scientist, Health, Key Terms, Machine Learning, Mathematics, Neural Networks, Python

• Using the Fitbit Web API with Python - Feb 18, 2020.
  
  Fitbit provides a Web API for accessing data from Fitbit activity trackers. Check out this updated tutorial to accessing this Fitbit data using the API with Python.

  API, Fitness, Health, Python

• Sharing your machine learning models through a common API - Feb 12, 2020.
  
  DEEPaaS API is a software component developed to expose machine learning models through a REST API. In this article we describe how to do it.

  API, Deep Learning, Machine Learning, Open Source, Python

• Building a Flask API to Automatically Extract Named Entities Using SpaCy - Apr 17, 2019.
  
  This article discusses how to use the Named Entity Recognition module in spaCy to identify people, organizations, or locations in text, then deploy a Python API with Flask.

  API, Flask, NLP, Python

• How to build an API for a machine learning model in 5 minutes using Flask - Jan 17, 2019.
  
  Flask is a micro web framework written in Python. It can create a REST API that allows you to send data, and receive a prediction as a response.

  API, Flask, Machine Learning, Python

• Comparison of the Top Speech Processing APIs - Dec 28, 2018.
  
  There are two main tasks in speech processing. First one is to transform speech to text. The second is to convert the text into human speech. We will describe the general aspects of each API and then compare their main features in the table.

  Amazon, API, Google Cloud, IBM Watson, Microsoft Azure, NLP, Speech Recognition

• Affordable online news archives for academic research - Aug 10, 2018.
  
  Many researchers need access to multi-year historical repositories of online news articles. We identified three companies that make such access affordable, and spoke with their CEOs.

  API, Research, Text Analytics, Text Mining, Webhose

• Complete Guide to Build ConvNet HTTP-Based Application using TensorFlow and Flask RESTful Python API - May 15, 2018.
  
  In this tutorial, a CNN is to be built, and trained and tested against the CIFAR10 dataset. To make the model remotely accessible, a Flask Web application is created using Python to receive an uploaded image and return its classification label using HTTP.

  Pages: 1 2

  API, Convolutional Neural Networks, Dropout, Flask, Neural Networks, Python, RESTful API, TensorFlow

• 50+ Useful Machine Learning & Prediction APIs, 2018 Edition - May 1, 2018.
  
  Extensive list of 50+ APIs in Face and Image Recognition ,Text Analysis, NLP, Sentiment Analysis, Language Translation, Machine Learning and prediction.

  API, Face Recognition, Image Recognition, Machine Learning, Natural Language Processing, Sentiment Analysis, Text Analytics

• Are High Level APIs Dumbing Down Machine Learning? - Apr 16, 2018.
  
  Libraries like Keras simplify the construction of neural networks, but are they impeding on practitioners full understanding? Or are they simply useful (and inevitable) abstractions?

  API, Deep Learning, Francois Chollet, Keras, Machine Learning, Neural Networks, TensorFlow

• Blockchains and APIs - Mar 6, 2018.
  
  Major technological advances are providing opportunities for new business models, based on blockchain, which will see an increase in the number of connected devices in our day-to-day lives.

  API, Bitcoin, Blockchain, Cryptocurrency, Ethereum

• Is Google Tensorflow Object Detection API the Easiest Way to Implement Image Recognition? - Mar 1, 2018.
  
  There are many different ways to do image recognition. Google recently released a new Tensorflow Object Detection API to give computer vision everywhere a boost.

  API, Image Recognition, TensorFlow

• Automated Text Classification Using Machine Learning - Jan 30, 2018.
  
  In this post, we talk about the technology, applications, customization, and segmentation related to our automated text classification API.

  API, Deep Learning, Machine Learning, ParallelDots, Text Classification

• Plot2txt for quantitative image analysis - Jan 19, 2018.
  
  Plot2txt converts images into text and other representations, helping create semi-structured data from binary, using a combination of machine learning and other algorithms.

  API, Image Recognition

• Top KDnuggets tweets, Dec 27 – Jan 02: 10 Free Must-Read Books for #MachineLearning and #DataScience - Jan 3, 2018.
  
  Also #TensorFlow: A proposal of good practices for files, folders and models; Creating REST API for #TensorFlow models; The Most Popular Language For #MachineLearning and #DataScience Is ...

  API, Blockchain, Free ebook, Gradient Boosting, TensorFlow, Top tweets

• Natural Language Processing Library for Apache Spark – free to use - Nov 28, 2017.
  
  Introducing the Natural Language Processing Library for Apache Spark - and yes, you can actually use it for free! This post will give you a great overview of John Snow Labs NLP Library for Apache Spark.

  Apache Spark, API, GitHub, John Snow Labs, Machine Learning, NLP

• A Tale of Three Apache Spark APIs: RDDs, DataFrames, and Datasets - Aug 22, 2017.
  
  In this blog, I explore three sets of APIs—RDDs, DataFrames, and Datasets—available in a pre-release preview of Apache Spark 2.0; why and when you should use each set; outline their performance and optimization benefits; and enumerate scenarios when to use DataFrames and Datasets instead of RDDs.

  Apache Spark, API

• Text Clustering : Quick insights from Unstructured Data, part 2 - Jul 4, 2017.
  
  We will build this in a modular way and also focus on exposing the functionalities as an API so that it can serve as a plug and play model without any disruptions to the existing systems.

  API, Clustering, Python, Text Analytics, Unstructured data

• Using the TensorFlow API: An Introductory Tutorial Series - Jun 28, 2017.
  
  This post summarizes and links to a great multi-part tutorial series on learning the TensorFlow API for building a variety of neural networks, as well as a bonus tutorial on backpropagation from the beginning.

  API, Deep Learning, LSTM, Neural Networks, Recurrent Neural Networks, TensorFlow

• An Introduction to the MXNet Python API  - May 26, 2017.
  
  This post outlines an entire 6-part tutorial series on the MXNet deep learning library and its Python API. In-depth and descriptive, this is a great guide for anyone looking to start leveraging this powerful neural network library.

  API, AWS, Deep Learning, Neural Networks, Python

• KDnuggets™ News 17:n06, Feb 15: So What is Big Data? 52 Useful Machine Learning APIs; Data Science finds Perfect Valentines Dates - Feb 15, 2017.
  
  Also Making Python Speak SQL with pandasql; 52 Useful Machine Learning & Prediction APIs, updated; New Poll: Do you support Trump Immigration Ban?

  API, Big Data, Clustering, Data Science Platform, Machine Learning, Python, SQL

• 50+ Useful Machine Learning & Prediction APIs, updated - Feb 8, 2017.
  
  Very useful, updated list of 50+ APIs in machine learning, prediction, text analytics & classification, face recognition, language translation, and more.

  API, Data Science, Face Recognition, IBM Watson, Image Recognition, Machine Learning, NLP, Sentiment Analysis

• arXiv Paper Spotlight: Stealing Machine Learning Models via Prediction APIs - Nov 28, 2016.
  
  Despite their confidentiality, machine learning models which have public-facing APIs are vulnerable to model extraction attacks, which attempt to "steal the ingredients" and duplicate functionality. The paper at hand investigates.

  Academics, API, arXiv, Machine Learning, Prediction

• Beginner’s Guide to Apache Flink – 12 Key Terms, Explained - Oct 4, 2016.
  
  We review 12 core Apache Flink concepts, to better understand what it does and how it works, including streaming engine terminology.

  Pages: 1 2

  API, Explained, Flink, Graph Mining, Machine Learning, Streaming Analytics

• Embedded Analytics: The Future of Business Intelligence - Sep 30, 2016.
  
  An overview of the evolution of Business Intelligence, and some insight into where its future lie: embedded analytics.

  Analytics, API, Business Intelligence

• HPE Haven OnDemand: Powerful Data Connectors for the Cloud and Enterprise - Sep 1, 2016.
  
  HPE Haven OnDemand simplifies how you can interact with data, allowing it to be transformed into an asset anytime, anywhere. Find out how the Connector APIs can facilitate this interaction.

  Pages: 1 2

  API, Cloud, Haven OnDemand, HPE, Python

• PAPIs 16 Conference on Predictive Applications & APIs, Oct 10-12, Boston - Aug 30, 2016.
  
  PAPIs is the premier forum for the presentation of new machine learning APIs, techniques, architectures and tools to build intelligent applications. It also hosts the world’s 1st startup competition where the jury is an AI.

  API, Applications, Boston, Claudia Perlich, MA, Machine Learning, Startups

• Internet of Things Key Terms, Explained - Jul 27, 2016.
  
  This post will define 12 Key Terms for the Internet of Things, in straightforward manner.

  API, Explained, Industrial Internet, Internet of Things, IoT, Key Terms

• Introducing Cloud Hosted Deep Learning Models - Jul 21, 2016.
  
  Algorithmia introduces a solution for hosting and distributing locally-trained deep learning models on Algorithmia using GPUs in the cloud, where they become smart API endpoints for other developers to use.

  Algorithmia, API, Cloud, Deep Learning, Diego Oppenheimer

• Semi-supervised Feature Transfer: The Practical Benefit of Deep Learning Today? - Jul 12, 2016.
  
  This post evaluates four different strategies for solving a problem with machine learning, where customized models built from semi-supervised "deep" features using transfer learning outperform models built from scratch, and rival state-of-the-art methods.

  Pages: 1 2 3

  API, Deep Learning, indico, Machine Learning, scikit-learn, Sentiment Analysis

• Interview: Florian Douetteau, Dataiku Founder, on Empowering Data Scientists - Jul 7, 2016.
  
  Here is an interview with Florian Douetteau, founder of Dataiku, on how their tools empower data scientists, and how data science itself is evolving.

  Ajay Ohri, API, Data Science Tools, Dataiku, Florian Douetteau, Python, R

• HPE Haven OnDemand Text Extraction API Cheat Sheet for Developers - Jun 21, 2016.
  
  HPE Haven OnDemand provides a native API based on cURL calls, as well as numerous language-specific APIs, providing maximum flexibility for developers. This cheat sheet will cover the native and Python text extraction APIs.

  API, Haven OnDemand, HPE, Python, Text Analytics

• How open API economy accelerates the growth of big data and analytics - Jun 17, 2016.
  
  An open API is available on the internet for free. We review the growth of API economy and how organizations have been realizing the potential of open APIs in transforming their business.

  API, Big Data Analytics, Open Data

• Build Your Own Audio/Video Analytics App With HPE Haven OnDemand – Part 2 - Jun 10, 2016.
  
  In the conclusion to this two part tutorial, learn how to leverage HPE Haven OnDemand's Machine Learning APIs to build an audio/video analytics app with minimal time and effort.

  Pages: 1 2

  Analytics, API, App, Audio, Haven OnDemand, HPE

• Build Your Own Audio/Video Analytics App With HPE Haven OnDemand – Part 1 - Jun 9, 2016.
  
  In this first part of a two part tutorial, learn how to leverage HPE Haven OnDemand's Machine Learning APIs to build an audio/video analytics app with minimal time and effort.

  Pages: 1 2

  Analytics, API, App, Audio, Haven OnDemand, HPE

• Data Science and Cognitive Computing with HPE Haven OnDemand: The Simple Path to Reason and Insight - May 10, 2016.
  
  HPE Haven OnDemand is a diverse collection of APIs for interacting with data designed with flexibility in mind, allowing developers to quickly perform data tasks in the cloud. See why it is a simple path to reason and insight for data science and cognitive computing.

  Pages: 1 2

  API, Cognitive Computing, Data Science, Haven OnDemand, HPE

• Top /r/MachineLearning Posts, April: New Google Machine Learning Videos, Deep Learning Book, TensorFlow Playground - May 2, 2016.
  
  Check out the most popular topics on Reddit's Machine Learning subreddit from April, including TensorFlow, deep learning, tutorials, self-reflection, and free books.

  API, Book, Deep Learning, Machine Learning, Reddit, TensorFlow, xkcd

• Embedding Data and Analytics with Looker, Apr 28 Webinar - Apr 14, 2016.
  
  Delivering data and analytics to your customers should be straightforward. The Looker Data Platform allows for easy access to data through a robust API and embeddable charts, tables and dashboards.

  Analytics, API, Dashboard, Looker

• Watson Developer Challenge: build conversational apps using Watson language APIs - Mar 18, 2016.
  
  Watson Developer Challenge is an online hackathon to build conversational apps using Watson new language service APIs for NLP, document conversion, and speech and machine learning algorithms. Coders have till Apr 15 to build software that lets users interact with Watson through a natural conversational interface.

  API, Cognitive Computing, Competition, Hackathon, IBM Watson, Natural Language Processing

• Machine Learning at your fingertips – 60+ free APIs, from HPE Haven OnDemand - Feb 29, 2016.
  
  HPE Haven on Demand has 60+ Machine Learning free APIs to connect, extract, analyze, search, predict - get your API Key and RSVP for the HPE Analytics World Tour.

  Amsterdam, API, Beijing, CA, Haven OnDemand, HPE, Machine Learning, Palo Alto, Paris, Singapore

• Apache Spark: RDD, DataFrame or Dataset? - Feb 3, 2016.
  
  There are now 3 Apache Spark APIs. Here’s how to choose the right one.

  Pages: 1 2

  Apache Spark, API, Dataset, Java, RDD, Scala

• History Meets Innovation: Big Data Hackathon with Yad Vashem - Jan 12, 2016.
  
  For 70 years the dedicated people at Yad Vashem have listened, gathered, protected and curated. Now we make their data come alive.

  API, Big Data, Hackathon, Haven OnDemand, Holocaust, HP, HPE, Yad Vashem

• Everything You Need to Know about Natural Language Processing - Dec 21, 2015.
  
  Natural language processing (NLP) helps computers understand human speech and language. We define the key NLP concepts and explain how it fits in the bigger picture of Artificial Intelligence.

  API, Buzzlogix, NLP, Text Analytics, Text Mining

• Top KDnuggets tweets, Dec 07-13: 50 Useful Machine Learning and Prediction APIs; 35 R Job Interview Questions, Answers - Dec 14, 2015.
  
  R Programming: 35 Job #Interview Questions and Answers; A Look into #MachineLearning First Cheating #Scandal; The current state of #machine #intelligence 2.0 ; #Dilbert Dark #humor on combining #DNA tests and #Bevaviour #Predictions;

  API, Deep Learning, Fashion, Hiring, Machine Learning, R

• 50 Useful Machine Learning & Prediction APIs - Dec 7, 2015.
  
  We present a list of 50 APIs selected from areas like machine learning, prediction, text analytics & classification, face recognition, language translation etc. Start consuming APIs!

  Pages: 1 2

  API, Data Science, Face Recognition, IBM Watson, Image Recognition, Machine Learning, NLP, Sentiment Analysis

• 5 Best Machine Learning APIs for Data Science - Nov 5, 2015.
  
  Machine Learning APIs make it easy for developers to develop predictive applications. Here we review 5 important Machine Learning APIs: IBM Watson, Microsoft Azure Machine Learning, Google Prediction API, Amazon Machine Learning API, and BigML.

  Pages: 1 2

  Amazon, API, Azure ML, BigML, DeZyre, Google, IBM Watson, Machine Learning

• API for Prediction and Machine Learning: poll results and analysis - Sep 1, 2015.
  
  APIs are set procedures which provide easy to use, automated, robust solution to the recurring programming challenges. Here, we analyzed major players in the big data domain are providing machine learning APIs.

  API, Azure ML, H2O, indico, Machine Learning, Poll

• Apache Flink and the case for stream processing - Aug 7, 2015.
  
  Realtime analytics have been proven challenging in the past, but with new tools it will be possible to setup your pipelines in relative short time. Apache Flink is one of such framework, find out how you can exploit it for your demands.

  API, Flink, Hadoop, Realtime Analytics, Streaming Analytics

• Standardizing the World of Machine Learning Web Service APIs - Jul 8, 2015.
  
  We introduce Protocols and Structures for Inference (PSI) API specification which enables delivering flexible Machine Learning by specifying how datasets, learning algorithms and predictors can be presented as web resources.

  API, Machine Learning, RESTful API, Web services

• Algorithmia Tested: Human vs Automated Tag Generation - Apr 21, 2015.
  
  Algorithmia, the marketplace for algorithms, can be a platform for hosting APIs to do a plethora of text analytics and information retrieval tasks. Automatic post tagging is done in this case study to demonstrate the effectiveness and ease-of-use of the platform.

  Pages: 1 2

  Algorithmia, API, Grant Marshall, Information Retrieval, Python, Text Analytics

• Algorithmia: Building a web site explorer in 5 easy steps - Apr 20, 2015.
  
  We show how to use Algorithmia for quickly building a functional web site explorer in 5 steps: GetLinks, PageRank, Url2text, Summarizer and AutoTag.

  Algorithmia, API, Page Rank, Search Engine, Web Mining

• Algorithmia – How Marketplaces are Fostering Innovation? - Apr 9, 2015.
  
  We have a marketplace for almost everything – mobile apps, cabs, hotels, and what not. But, not for algorithms. Algorithmia takes up that challenge.

  Algorithmia, API, California, Crowdsourcing, Innovation, Marketplace, Social Networks

• Poll: Machine Learning APIs - Apr 4, 2015.
  
  Poll from Bart Baesens at KU Leuven asks about your usage of Machine Learning APIs and other predictive analytics tools.

  API, Bart Baesens, Machine Learning, Poll

• PredictionIO: Machine Learning Engineer (Evangelist) - Feb 26, 2015.
  
  Are you passionate about machine learning and open source? Do you have the ability to engage other developers and data scientists? If yes, read on ...

  API, CA, Machine Learning, Open Source, PredictionIO, San Francisco, Scala, USA

• PredictionIO: Machine Learning Evangelist - Feb 4, 2015.
  
  Are you passionate about machine learning and open source? Do you have the ability to engage other developers and data scientists? If yes, read on ...

  API, CA, Machine Learning, Open Source, PredictionIO, San Francisco, Scala, USA

• Top SlideShare Presentations on Big Data, updated - Jan 18, 2015.
  
  REST APIs and crawling offer two different ways to gather big data presentations from SlideShare, but they provide different results and lead to a very different view of the data. We examine why and find a useful data science lesson.

  API, Big Data, Presentation, SlideShare

• Exclusive: Interview with Chris Wiggins, NYTimes Chief Data Scientist - Jan 13, 2015.
  
  New York Times Chief Data Scientist Chris Wiggins on the transformation of digital journalism, key Data Science skills, favorite tools, why better wrong than nice, and how Thomas Jefferson is very relevant today.

  API, Chris Wiggins, Data journalism, Data Scientist, NYTimes, Privacy

• Most Popular Slideshare Presentations on Data Science - Nov 25, 2014.
  
  Top SlideShare data science presentations provide a unique view on topics like data science management, using Python and NumPy in your data science project, and leveraging data science for enterprise big data.

  API, Big Data, Data Science Skills, Data Science Tutorial, Python, SlideShare

• Most Popular Slideshare Presentations on Data Mining - Nov 13, 2014.
  
  SlideShare data mining presentations cover many topics, offering a unique way of consuming data mining content and exploring a variety of slideshows, both narrow and broad in scope.

  API, Data Mining Training, Python, SlideShare

• Text Mining and Election Analytics in Massachusetts - Oct 24, 2014.
  
  Election season is coming! Take a deeper look at some political dynamics with indico’s political analysis API.

  API, Elections, indico, Massachusetts, Startups, Text Analytics, Web services

• Top KDnuggets tweets, Oct 10-12: 7 Most Data Rich Companies in the World - Oct 13, 2014.
  
  7 Most Data Rich Companies in the World; R and #DataScience Webinar slides - status, why, code examples; Another list of 200+ #BigData thought leaders to follow on Twitter; Popular #BigData predictive apps and APIs.

  API, Data Science, GE, Humor, IBM, Kaggle, R

• Data Visualization of Census Data with R - Jun 20, 2014.
  
  This article shows step-by-step how to use R to access US Census Data, visualize it, and plot it on the map.

  API, Data Visualization, R, US Census

• Examining GoodData Open Analytics Platform - Apr 16, 2014.
  
  KDnuggets examines the main features of GoodData Open Analytics Platform, its users, how it compares to competition, and future plans.

  API, GoodData, Open Analytics, Platform, San Francisco-CA

• Top KDnuggets tweets, Apr 2-3: Data scientists need their GitHub; How to make Data Scientist job less tedious - Apr 4, 2014.
  
  Also Top stories in March: Machine Learning in 7 Pictures; import.io adds authenticated APIs, command line crawlers.

  API, Data Scientist, GitHub, import.io, Machine Learning, Pictures

• Webinar: Building Predictive Apps with BigML API, March 11 - Mar 4, 2014.
  
  BigML interface makes machine learning easy to use, the underlying API provides the same functionality enabling data scientists to quickly implement many machine learning and predictive applications. Learn more on March 11.

  API, BigML, Machine Learning, Python

• Top KDnuggets tweets, Jan 8-9: Great list of NLP APIs; Python erodes R hegemony, but do not go all-in Python now - Jan 10, 2014.
  
  Great list of 25+ NLP APIs for Sentiment Analysis, Text Processing, Topic Extraction; MLbase: Distributed Machine Learning using Apache Spark; "Sexy" Data Science should be a Team Sport, or it will fail ; LinkedIn files lawsuit over data-mining bots which mine user profiles

  Apache Spark, API, MLbase, NLP, Python