Topics: AI | Data Science | Data Visualization | Deep Learning | Machine Learning | NLP | Python | R | Statistics

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    Found 194 documents, 12288 searched:

  • Predict Age and Gender Using Convolutional Neural Network and OpenCV">Silver BlogPredict Age and Gender Using Convolutional Neural Network and OpenCV

    ...affe('deploy_age.prototxt', 'age_net.caffemodel') gender_net = cv2.dnn.readNetFromCaffe('deploy_gender.prototxt', 'gender_net.caffemodel') return(age_net, gender_net) def video_detector(age_net, gender_net): font = cv2.FONT_HERSHEY_SIMPLEX while True: ret, image = cap.read() face_cascade =...

    https://www.kdnuggets.com/2019/04/predict-age-gender-using-convolutional-neural-network-opencv.html

  • KDnuggets Social Network in NodeXL, May 2014

    ....com/2014/04/big-data-vs-privacy-fico-interview.html?utm_content=buffer6e5d6&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer www.kdnuggets.com/news/index.html www.kdnuggets.com/2014/05/code-for-india-2014-global-hackathon-google.html   Related: KDD-2013 NodeXL Twitter...

    https://www.kdnuggets.com/2014/05/kdnuggets-social-network-nodexl-may-2014.html

  • 2020: A Year Full of Amazing AI Papers — A Review

    ...w neurons able to control the self-driving car, compared to the millions of neurons needed by the popular deep neural networks such as Inceptions, Resnets, or VGG. Their network was able to completely control a car using only 75 000 parameters, composed of 19 control neurons, rather than millions!...

    https://www.kdnuggets.com/2020/12/2020-amazing-ai-papers.html

  • Hotlist of Training resources for Predictive Analytics

    …s University has a comprehensive set of YouTube videos: https://www.youtube.com/playlist?list=PLVBcK_IpFVi9cajJtRel2uBLbtcLz-WIN Local Meetup groups (www.meetup.com) — great way to network in person and learn from others in the industry. For instance in Silicon valley, I find The Hive to have…

    https://www.kdnuggets.com/2015/07/sameer-chopra-training-resources-predictive-analytics.html

  • Top 20 Python Machine Learning Open Source Projects

    ...provides support for Sparql and MQL query languages, with plans to extended it to other database query languages. Hebel, 244 commits, 5 contributors, www.github.com/hannes-brt/hebel Hebel is a library for deep learning with neural networks in Python using GPU acceleration with CUDA through PyCUDA....

    https://www.kdnuggets.com/2015/06/top-20-python-machine-learning-open-source-projects.html

  • Text Preprocessing in Python: Steps, Tools, and Examples

    .../ http://www.opencalais.com/about-open-calais/ http://alias-i.com/lingpipe/index.html https://github.com/glample/tagger http://minorthird.sourceforge.net/old/doc/ https://www.ibm.com/support/knowledgecenter/en/SS8NLW_10.0.0/com.ibm.watson.wex.aac.doc/aac-tasystemt.html https://www.poolparty.biz/...

    https://www.kdnuggets.com/2018/11/text-preprocessing-python.html

  • Intel’s Investments in Cognitive Tech: Impact and New Opportunities

    ...with neural networks training, and traditional central processors execute production workloads. At the same time, a larger part of the deep learning network design is still ‘empirical’, demands much experimentation, larger-than-optimal datasets, and therefore more power. The question of process...

    https://www.kdnuggets.com/2016/05/intel-investment-cognitive-tech-impact-new-opportunities.html

  • Pedestrian Detection in Aerial Images Using RetinaNet

    ...have put my image data set on google drive here for anyone interested in skipping this step. Generating annotations in the format required for Retina Net. Retina Net requires all annotations to be in the format. path/to/image.jpg,x1,y1,x2,y2,class_name I converted Stanford annotations in this...

    https://www.kdnuggets.com/2019/03/pedestrian-detection-aerial-images-retinanet.html

  • The Anatomy of Deep Learning Frameworks">Silver Blog, Feb 2017The Anatomy of Deep Learning Frameworks

    ...an check out the materials ofwww.inf.ethz.ch/personal/markusp/teaching/263-2300-ETH-spring11/course.html, will be taking this next sem :) [15] http://www.netlib.org/blas/ [16] https://developer.nvidia.com/cublas [17] https://developer.nvidia.com/cudnn Bio: Gokula Krishnan Santhanam is a Masters...

    https://www.kdnuggets.com/2017/02/anatomy-deep-learning-frameworks.html

  • Why the Data Scientist and Data Engineer Need to Understand Virtualization in the Cloud

    ...to achieve optimal results from. Big Data/Hadoop on VMware vSphere - Reference Materials Deployment Guides: Virtualizing Hadoop - a Deployment Guide www.vmware.com/bde Under Resources -> Getting Started, or more directly:...

    https://www.kdnuggets.com/2017/01/data-scientist-engineer-understand-virtualization-cloud.html

  • Diversity in Data Science: Overview and Strategy

    ...hips exist for women in tech bootcamps (https://www.switchup.org/blog/women-in-tech-a-comprehensive-scholarship-guide) and academic programs (https://www.scholarshipsforwomen.net/engineering/), as well as African-American and Hispanic students (http://www.nacme.org/). The US has also promised $200...

    https://www.kdnuggets.com/2018/09/diversity-data-science.html

  • How to Visualize your Facebook Network

    …use Openrefine in order to clean up a little bit the URLs. Your data should look like this: Source Target https://www.facebook.com/My_profile https://www.facebook.com/John.doe https://www.facebook.com/My_profile https://www.facebook.com/profile.php?id=012345678910 Notice that FaceBook uses two…

    https://www.kdnuggets.com/2015/06/visualize-facebook-network.html

  • Building a Knowledge Graph for Job Search Using BERT

    ...ython library pyvis and networkx to build our graph; we link job descriptions to their extracted skills using the years of experience as weights. job_net = Network(height='1000px', width='100%', bgcolor='#222222', font_color='white') job_net.barnes_hut() sources = data_graph['Job ID'] targets =...

    https://www.kdnuggets.com/2021/06/knowledge-graph-job-search-bert.html

  • Showcasing the Benefits of Software Optimizations for AI Workloads on Intel® Xeon® Scalable Platforms

    ...-log_level 0 --w 20 --batch_size 128 --iterations 1000 --device_type ideep --dummy_data true --random_multibatch false --numa_id 0 --init_net_path resnet50/init_net_int8.pbtxt --predict_net_path resnet50/predict_net_int8.pbtxt --shared_memory_option USE_LOCAL --shared_weight USE_LOCAL --data_order...

    https://www.kdnuggets.com/2020/09/showcasing-benefits-software-optimizations-ai-workloads-intel.html

  • The 8 Neural Network Architectures Machine Learning Researchers Need to Learn">Gold BlogThe 8 Neural Network Architectures Machine Learning Researchers Need to Learn

    ...very difficult to train. They are more biologically realistic. There is a lot of interest at present in finding efficient ways of training recurrent nets. Recurrent neural networks are a very natural way to model sequential data. They are equivalent to very deep nets with one hidden layer per time...

    https://www.kdnuggets.com/2018/02/8-neural-network-architectures-machine-learning-researchers-need-learn.html

  • Nothing but NumPy: Understanding & Creating Neural Networks with Computational Graphs from Scratch">Gold BlogNothing but NumPy: Understanding & Creating Neural Networks with Computational Graphs from Scratch

    ...bypass the feature engineering ourselves and lets the neural network figure out the feature crosses itself! Let’s take a look at the following neural network: Fig 77. Neural network with one hidden layer. So we’ve added a bunch of new nodes in the middle of our neural network architecture from the...

    https://www.kdnuggets.com/2019/08/numpy-neural-networks-computational-graphs.html

  • A Great way to learn Data Science by simply doing it

    …http://bigdatauniversity.com/wpcourses/?cat=133 CodeSchool: Try SQL Try R The Sequel To SQL Links: https://www.codeschool.com/courses/try-sql https://www.codeschool.com/courses/try-r https://www.codeschool.com/courses/the-sequel-to-sql KhanAcademy: Intro to SQL: Querying and managing databases…

    https://www.kdnuggets.com/2015/09/learn-data-science-by-doing.html

  • Build Your First Voice Assistant

    ...rlopen(url) html = response.read() soup1 = soup(html,"lxml") url_list = [] for vid in soup1.findAll(attrs={'class':'yt-uix-tile-link'}): if ('https://www.youtube.com' + vid['href']).startswith("https://www.youtube.com/watch?v="): flag = 1 final_url = 'https://www.youtube.com' + vid['href']...

    https://www.kdnuggets.com/2019/09/build-your-first-voice-assistant.html

  • Ten Machine Learning Algorithms You Should Know to Become a Data Scientist">Silver BlogTen Machine Learning Algorithms You Should Know to Become a Data Scientist

    ....html http://www.deeplearningbook.org/contents/autoencoders.html http://www.deeplearningbook.org/contents/representation.html 7. Convolutional Neural Networks (Convnets) Almost any state of the art Vision based Machine Learning result in the world today has been achieved using Convolutional Neural...

    https://www.kdnuggets.com/2018/04/10-machine-learning-algorithms-data-scientist.html

  • PhD working on Process Mining in SAP

    ...versed in workflow management, process mining, and process verification. See www.workflowpatterns.com, www.workflowcourse.com, www.processmining.org, www.yawl-system.com, www.win.tue.nl/ais/, www.wvdaalst.com, and www.tue.nl for more information. As the world's leading provider of business...

    https://www.kdnuggets.com/academic/13/05-24-tu-eindhoven-process-mining-sap.html

  • Golden State Warriors Analytics Exercise

    ...team/schedule/_/name/gs. Listed below is a cross-section of games from which you may want to use to start your analysis. Wins Rockets 1/20/17: http://www.espn.com/nba/matchup?gameId=400900067 Thunder 1/18/17: http://www.espn.com/nba/matchup?gameId=400900055 Cavaliers 1/16/17:...

    https://www.kdnuggets.com/2017/06/golden-state-warriors-analytics-exercise.html

  • ILNumerics: High Performance Math Library for C# and .NET

    …oftware development principles now immediately apply to your numerical algorithms as well. Scene Graph API and Plotting Tools: 3D Visualizations for .NET Most technical applications eventually utilize some kind of graphical user interface. ILNumerics allows the creation of complex 2d and 3d…

    https://www.kdnuggets.com/2013/07/ilnumerics-high-performance-math-library-csharp-net.html

  • Information Management 10 More Big Data Companies

    ...-Commerce - a business transaction module; and Business Intelligence/analytics - an information analysis tool for making informed decisions. Skytree, www.skytree.net Location: San Jose, CA Summary: Provides enterprise-grade machine learning with the Skytree Server, which the company says is the...

    https://www.kdnuggets.com/2014/03/information-management-10-more-big-data-companies.html

  • Pharmaceutical BI Group: Professional Opportunity in Pharma and Business Intelligence

    ...ARE A FINANCE Professional OR in BUSINESS DEVELOPMENT: Funding Ventures: Early Stage Medical Devices & Biologics - Opportunities @pharma_BI Group www.linkedin.com/pulse/funding-ventures-early-stage-medical-devices-lpbi-lev-ari-phd-rn?trk=mp-reader-card IF YOU WISH TO MANAGE A BUSINESS UNIT...

    https://www.kdnuggets.com/jobs/16/03-23-pharmaceuticalintelligence-professional-opportunity-pharma-bi-b.html

  • Building Neural Networks with PyTorch in Google Colab">Silver BlogBuilding Neural Networks with PyTorch in Google Colab

    ...64) self.fc4 = nn.Linear(64, 10) def forward(self, x): x = self.fc1(x) x = self.fc2(x) x = self.fc3(x) x = self.fc4(x) return F.log_softmax(x, dim=1) net = Net() print(net) ### Output: ### Net( ### (fc1): Linear(in_features=784, out_features=64, bias=True) ### (fc2): Linear(in_features=64,...

    https://www.kdnuggets.com/2020/10/building-neural-networks-pytorch-google-colab.html

  • Implementing ResNet with MXNET Gluon and Comet.ml for Image Classification

    ...convolutional neural network (CNN) implemented in MXNet Gluon, and integrate Comet.ml for experiment tracking and monitoring. We will be using the MXNet ResNet model architecture and training that model on the CIFAR 10 dataset for our image classification use case. MXNet is a deep learning...

    https://www.kdnuggets.com/2018/12/implementing-resnet-mxnet-gluon-comet-ml-image-classification.html

  • Employee Churn 202: Good and Bad Churn

    ...hort-tenured, fast-training job role, but you can design curves to meet your specific situation. We sum these costs in Figure 6, to make a cumulative net benefit. The plot shows the net cost or benefit accrued by an employee if they get to a specific tenure. The red region shows the net cost until...

    https://www.kdnuggets.com/2014/05/employee-churn-202-good-bad-churn.html

  • Using Excel with Pandas

    ...t's use the sot_values method to sort the data by the new column we created and visualize the top 10 movies by Net Earnings. sorted_movies = movies[['Net Earnings']].sort_values(['Net Earnings'], ascending=[False]) sorted_movies.head(10)['Net Earnings'].plot.barh() plt.show()   Pivot Table in...

    https://www.kdnuggets.com/2018/01/using-excel-pandas.html

  • Topological Data Analysis for Data Professionals: Beyond Ayasdi

    ...data sets and 3d object recognition. In SPBG (pp. 91-100). Wasserman, L. (2016). Topological Data Analysis. arXiv preprint arXiv:1609.08227. https://www.slideshare.net/ColleenFarrelly/topology-for-data-science https://www.slideshare.net/ColleenFarrelly/multiscale-mapper-networks...

    https://www.kdnuggets.com/2018/01/topological-data-analysis.html

  • Artificial Neural Network Implementation using NumPy and Image Classification">Gold BlogArtificial Neural Network Implementation using NumPy and Image Classification

    ...lgorithm-2f5001d9964b https://www.springer.com/us/book/9781484241660   Genetic Algorithm (GA) Optimization - Step-by-Step Example   https://www.slideshare.net/AhmedGadFCIT/genetic-algorithm-ga-optimization-stepbystep-example   Genetic Algorithm Implementation in Python  ...

    https://www.kdnuggets.com/2019/02/artificial-neural-network-implementation-using-numpy-and-image-classification.html

  • The Data Science Delusion

    .... Democratizing data science. KDD, http://blog.sophiechou.com/tag/democratizing-data-science/, 2014. [7] Vincent Granville. Fake data science. http://www.analyticbridge.com/profiles/blogs/fake-data-science, 2013. [8] Robin Bloor. A data science rant....

    https://www.kdnuggets.com/2016/11/data-science-delusion.html

  • Deep Learning in a Nutshell – what it is, how it works, why care?

    ...his example, there are no connections that lead from a neuron in a higher layer to a neuron in a lower layer (i.e., no directed cycles). These neural networks are called feed-forward neural networks as opposed to their counterparts, which are called recursiveneural networks (again these are much...

    https://www.kdnuggets.com/2015/01/deep-learning-explanation-what-how-why.html

  • Top 10 Data Mining Algorithms, Explained

    ...esn’t stop there… rayli.net’s votes are in turn weighted by rayli.net’s importance and relevance. In other words, any web page that’s voted for rayli.net increases rayli.net’s relevance. The bottom line? This concept of voting and relevance is PageRank. rayli.net’s vote for CNN increases CNN’s...

    https://www.kdnuggets.com/2015/05/top-10-data-mining-algorithms-explained.html

  • 9 Key Deep Learning Papers, Explained">Gold Blog9 Key Deep Learning Papers, Explained

    ...ome of the most important papers that have been published over the last 5 years and discuss why they’re so important. The first half of the list (AlexNet to ResNet) deals with advancements in general network architecture, while the second half is just a collection of interesting papers in other...

    https://www.kdnuggets.com/2016/09/9-key-deep-learning-papers-explained.html

  • 2011: DanNet triggers deep CNN revolution

    ...nNet had won 4 image recognition competitions, the similar GPU-accelerated "AlexNet" won the ImageNet [IM09] 2012 contest [GPUCNN4-5] [R6]. Unlike DanNet, AlexNet used Christoph v. d. Malsburg's rectified linear neurons (ReLUs) [CMB] (1973) and a variant of Stephen J. Hanson's stochastic delta rule...

    https://www.kdnuggets.com/2021/02/dannet-triggers-deep-cnn-revolution.html

  • Ontology and Data Science">Silver BlogOntology and Data Science

    ...mplex data requires graph So if you tie this benefits with a semantic layer, built on ontologies, you can go from having your data like this: https://www.slideshare.net/camsemantics/the-year-of-the-graph to this https://www.slideshare.net/camsemantics/the-year-of-the-graph where you have a...

    https://www.kdnuggets.com/2019/01/ontology-data-science.html

  • IEEE Big Data 2014 – 21 Workshops, Posters – CFP

    ....udel.edu/bigdata-transportation2014/) 2nd Workshop on Scalable Cloud Data Management (http://scdm2014.com/) Big Humanities Data(http://bighumanities.net/events/ieee-bigdata-oct-2014/) Complexity for Big Data(http://www.pascal-hitzler.de/C4BD2014/) Poster (Submission deadline: Sept 27) Poster...

    https://www.kdnuggets.com/2014/07/ieee-big-data-2014-21-workshops-posters-cfp.html

  • Disentangling disentanglement: Ideas from NeurIPS 2019

    ...research/disentanglement_lib B. Video playlist: [1] Y. Bengio’s: From Deep Learning of Disentangled Representations to Higher-level Cognition https://www.youtube.com/watch?v=Yr1mOzC93xs&t=355s [2] \beta-VAE (Deepmind): https://www.youtube.com/watch?v=XNGo9xqpgMo [3] Flexibly Fair Representation...

    https://www.kdnuggets.com/2020/01/disentangling-disentanglement-neurips-2019.html

  • Platinum BlogIf I had to start learning Data Science again, how would I do it?">Platinum BlogPlatinum BlogIf I had to start learning Data Science again, how would I do it?

    ...; By now, you have probably already read about deep learning and play with some models. But here we are going to learn the foundations of what neural networks are, how they work and learn to implement and apply the different architectures that exist. Link:...

    https://www.kdnuggets.com/2020/08/start-learning-data-science-again.html

  • Data Scientist: The Hottest Job on Wall Street

    ...tion/ [6] http://www.ey.com/gl/en/services/assurance/fraud-investigation---dispute-services/ey-global-forensic-data-analytics-survey-2014 [7] https://www.glassdoor.com/Salaries/entry-level-data-scientist-salary-SRCH_KO0,26.htm [8]...

    https://www.kdnuggets.com/2017/11/data-scientist-hottest-job-wall-street.html

  • Is Analytics Career Right for You?

    …ified Analytics Professional program, https://www.informs.org/Certification-Continuing-Ed/Analytics-Certification “Web Analytics Demystified,” http://www.webanalyticsdemystified.com Kaggle, http://www.kaggle.com/ Analytics competitions, /competitions/index.html “Data Visualization,”…

    https://www.kdnuggets.com/2015/06/analytics-career-right-for-you.html

  • PhD working on Process Mining Techniques

    ...versed in workflow management, process mining, and process verification. See www.workflowpatterns.com, www.workflowcourse.com, www.processmining.org, www.yawl-system.com, www.win.tue.nl/ais/, www.wvdaalst.com, and www.tue.nl for more information. Requirements: We are looking for a candidate who...

    https://www.kdnuggets.com/academic/13/05-16-tu-eindhoven-process-mining-techniques.html

  • 10 reasons why how-old.net went viral and how does it work?

    ...people to have fun - here are 2 Doctor Who ages: Eason Wang, Senior Program Manager on Bing who worked on this project, gives 10 reasons why how-old.net went viral. extremely easy to use appeals to people narcissistic side (people liked it when their age was underestimated) invokes awe, laughter...

    https://www.kdnuggets.com/2015/05/viral-age-recognition-how-does-how-oldnet-work.html

  • Spark + Deep Learning: Distributed Deep Neural Network Training with SparkNet

    ...rkNet paper): var trainData = loadData(. . .) var trainData = preprocess(trainData).cache() var nets = trainData.foreachPartition(data => { var net = Net(netParams) net.setTrainingData(data) net) var weights = initialWeights(. . .) for (i net.setWeights(broadcastWeights.value)) weights =...

    https://www.kdnuggets.com/2015/12/spark-deep-learning-training-with-sparknet.html

  • Awesome list of datasets in 100+ categories

    ...team.org/index.php/Yahoo!_Answers   History of America 1400-2021 Sources: https://os-connect.com/pop/p2an.asp https://ourworldindata.org/ http://www.ggdc.net/maddison/oriindex.htm https://www.globalfirepower.com/countries-comparison.asp   Persian words phonetics dataset This is a dataset...

    https://www.kdnuggets.com/2021/05/awesome-list-datasets.html

  • Multilabel Document Categorization, step by step example

    ...ert_encoder, trainable=True, name='BERT_encoder') outputs = encoder(encoder_inputs) net = outputs['pooled_output'] net = tf.keras.layers.Dropout(0.1)(net) net = tf.keras.layers.Dense(22, activation='softmax', name='classifier')(net) #net = tf.keras.layers.Dense(1, activation=None,...

    https://www.kdnuggets.com/2021/08/multilabel-document-categorization.html

  • Deep Learning Pioneer Geoff Hinton on his Latest Research and the Future of AI

    ...can do as well now on ImageNet as a supervised method, provided for the unsupervised learning, we use a bigger ResNet. If you use a standard sized ResNet on ImageNet, you get a certain error rate and we can get pretty much the same error rate by using a bigger ResNet training it entirely...

    https://www.kdnuggets.com/2021/01/deep-learning-pioneer-geoff-hinton-research-future-ai.html

  • UnitedHealth Group: Sr .Net Web Developer, UHC E&I [Indianapolis, IN or Green Bay, WI]

    At: UnitedHealth Group Location: Indianapolis, IN or Green Bay, WI Web: www.unitedhealthgroup.com Position: Senior .Net Web Developer, UHC E&I _Contact_: Apply online. Position Description UnitedHealth Care is a company that's on the rise. We're expanding in multiple directions, across borders...

    https://www.kdnuggets.com/jobs/18/10-04-unitedhealth-group-web-developer.html

  • When not to use deep learning">Gold Blog, Jul 2017When not to use deep learning

    …, in both computational and debugging time. Such expense doesn’t make sense for lots of day-to-day prediction problems and the ROI of tweaking a deep net to them, even when tweaking small networks, might be too low. Even when there’s plenty of budget and commitment, there’s no reason not to try…

    https://www.kdnuggets.com/2017/07/when-not-use-deep-learning.html

  • Stop training more models, start deploying them

    ...mant and portable. We however do need people to try it, give feedback, and help us improve. So, if you want to give it a try, get your own account at www.scailable.net. Any comments are highly appreciated!   Conclusions   Let’s wrap this up. I think we are developing useful models faster...

    https://www.kdnuggets.com/2020/06/stop-training-models-start-deploying.html

  • To SQL or not To SQL: that is the question!

    ...Information Management courses. He also frequently teaches for industry and business audiences. See seppe.net for further details.   [1] http://www.ivoras.net/blog/tree/2009-11-05.a-short-time-with-mongodb.html [2]...

    https://www.kdnuggets.com/2018/05/sql-not-sql-question.html

  • What’s Going to Happen this Year in the Data World

    ...Trends in 2019 - DATAVERSITY When it comes to major Data Science trends to watch in 2019, last year's major trends continued from 2017 as the growth…www.dataversity.net AI, Data Science, Analytics Main Developments in 2018 and Key Trends for 2019 As in the past, we bring you a roundup of...

    https://www.kdnuggets.com/2019/05/whats-going-happen-this-year-data-world.html

  • Top 18 Low-Code and No-Code Machine Learning Platforms

    ...y user interface for creating machine learning models. In just a few steps, a company can deploy a real-time predictive analytics service.   Nanonets AI   Intelligent document processing is possible with Nanonets. It captures data from documents automatically, saving you from hours of...

    https://www.kdnuggets.com/2021/09/top-18-low-code-no-code-machine-learning-platforms.html

  • Data Science of IoT: Sensor fusion and Kalman filters, Part 2

    …index.php?example=Introduction&section=SystemModeling http://www.electrical4u.com/state-space-analysis-of-control-system/ http://web.mit.edu/2.14/www/Handouts/StateSpace.pdf https://www.udacity.com/wiki/cs373/unit-2 Related: Data Science of IoT: Sensor fusion and Kalman filters, Part 1 Impact…

    https://www.kdnuggets.com/2015/11/data-science-iot-sensor-fusion-kalman-filters-part2.html

  • Microsoft is Becoming M(ai)crosoft

    ...rticles/17lab.html    [7] http://www.eecs.harvard.edu/~kgajos/papers/2008/kgajos-chi08-predictability.pdf    [8] http://www.cnet.com/news/microsoft-buys-speech-recognition-company-tellme/    [9]...

    https://www.kdnuggets.com/2016/04/microsoft-becoming-m-ai-crosoft.html

  • Advantages of a Career in Data Science

    …fographics/what-can-you-do-with-a-career-in-data-science/ Infographic Data Sources: www.burtchworks.com/files/2014/07/Burtch-Works-Study_DS_final.pdf www.mastersindatascience.org/careers/data-scientist/ www.payscale.com/research/US/Job=Data_Scientist,_IT/Salary…

    https://www.kdnuggets.com/2016/04/advantages-career-data-science.html

  • Data Retrieval and Cleaning: Tracking Migratory Patterns

    ...d to update the example, here are some things to add on: Create a CSV file with the table data. Use coroutines or threads to speed up the blocking of network calls. Loop through the pages without having to request the first page twice. Add error handling to improve the robustness of the code....

    https://www.kdnuggets.com/2018/07/data-retrieval-cleaning-tracking-migratory-patterns.html

  • Ultimate Guide to Getting Started with TensorFlow">Silver BlogUltimate Guide to Getting Started with TensorFlow

    ...www.reddit.com/r/MachineLearning/ Slack https://slofile.com/slack/ai-researchers Discord https://discordlist.me/join/167811324590424065/ Books Neural Networks and Deep Learning (free online book): http://neuralnetworksanddeeplearning.com/ Deep learning (online book):...

    https://www.kdnuggets.com/2018/09/ultimate-guide-tensorflow.html

  • Working with Python APIs For Data Science Project

    ...the 2nd API call into its own function and just pass the video_id we collected from the 1st API call. def get_video_details(video_id): url = "https://www.googleapis.com/youtube/v3/videos?id="+video_id+"& part=statistics&key="+API_KEY response = requests.get(url).json() return...

    https://www.kdnuggets.com/2021/09/python-apis-data-science-project.html

  • Where can I find good datasets for data mining?

    ...) has many pointers to good datasets, including theinfo.org/ infochimps.org/datasets (some free, some paid) ckan.org [Comprehensive Knowledge Archive Network] www.datawrangling.com/some-datasets-available-on-the-web.html del.icio.us/pskomoroch/dataset news.ycombinator.com/item?id=1242029...

    https://www.kdnuggets.com/faq/datasets-for-data-mining.html

  • Automated Web Scraping in R

    ...s") %>% html_attr("href") urls [1] "https://www.reddit.com/r/politics/comments/a1y40u/trump_doesnt_want_you_to_know_but_its_time_to/" [2] "https://www.reddit.com/r/politics/comments/a1y3ez/70_earthquake_hits_near_anchorage_alaska/" [3]...

    https://www.kdnuggets.com/2018/12/automated-web-scraping-r.html

  • KDnuggets™ News 19:n40, Oct 23: How to Become a (Good) Data Scientist; Writing Your First Neural Net in 30 Lines with Keras

    ...ad about key ideas and methods in anomaly detection.   Features How to Become a (Good) Data Scientist - Beginner Guide Writing Your First Neural Net in Less Than 30 Lines of Code with Keras Artificial Intelligence: Salaries Heading Skyward Anomaly Detection, A Key Task for AI and Machine...

    https://www.kdnuggets.com/2019/n40.html

  • Explainable Visual Reasoning: How MIT Builds Neural Networks that can Explain Themselves

    ...h the visual reasoning task is decomposed into a small of primitives that facilitate the interpretability of the model. Called Transparency by Design network (TbD-Net), the MIT model breaks a complex chain of reasoning into a series of smaller subproblems, each of which can be solved independently...

    https://www.kdnuggets.com/2021/03/explainable-visual-reasoning-mit-builds-neural-networks-explain-themselves.html

  • Research Guide for Video Frame Interpolation with Deep Learning

    ...y combined at each time step to approximate the intermediate bi-directional optical flows. The approximated optical flows are refined using another U-Net. This U-Net also predicts soft visibility maps. The two input images are then warped and linearly joined to form each intermediate frame. This...

    https://www.kdnuggets.com/2019/10/research-guide-video-frame-interpolation-deep-learning.html

  • A Beginner’s Guide to Neural Networks with R!

    ...rad + P.Undergrad + Outstate + Room.Board + Books + Personal + PhD + Terminal + S.F.Ratio + perc.alumni + Expend + Grad.Rate #install.packages('neuralnet') library(neuralnet) nn <- neuralnet(f,train,hidden=c(10,10,10),linear.output=FALSE) Predictions and Evaluations   Now let's see how well...

    https://www.kdnuggets.com/2016/08/begineers-guide-neural-networks-r.html

  • Dark Knowledge Distilled from Neural Network

    …on shows is a special case of distillation. To put it in another way, for each data point, we have a predicted distribution using the bigger ensemble network. We will train the smaller network using the output distribution as “soft targets” instead of the true labels. In this way, we can train the…

    https://www.kdnuggets.com/2015/05/dark-knowledge-neural-network.html

  • Net Lift Models: Optimizing Your Marketing Efforts

    Net Lift Models: Optimizing the Impact of Your Marketing Efforts demonstrates how to build net lift models that optimize the incremental impact of your marketing campaigns, covering the pros and cons of various core analytical approaches. Learn how to: Build incremental lift models that maximize...

    https://www.kdnuggets.com/2013/10/net-lift-models-optimizing-your-marketing-efforts.html

  • CVS: Application Developer, Rebates Forecasting

    ...ons 3+ years of application development experience on .NET platform Preferred Qualifications Flexibility in scheduling after hours work is needed C# .NET, ASP.NET, Java Script, XML, Oracle, Teradata, SQLServer 2008 and above SQL Server Integration Services (SSIS) Education Bachelors required....

    https://www.kdnuggets.com/jobs/18/06-18-cvs-application-developer.html

  • Age of AI Conference 2018 – Day 2 Highlights

    ...ar link: https://scholar.google.com/citations?user=xegzhJcAAAAJ Alex’s personal webpage: https://www.cs.toronto.edu/~kriz/ Link to SuperVision http://www.image-net.org/challenges/LSVRC/2012/supervision.pdf   Tim Urban @ Wait, But Why   The Road to Superintelligence Listening to Tim Urban...

    https://www.kdnuggets.com/2018/02/age-ai-conference-2018-day-2.html

  • Artificial Neural Networks Optimization using Genetic Algorithm with Python">Platinum BlogArtificial Neural Networks Optimization using Genetic Algorithm with Python

    ...with-genetic-algorithm-2f5001d9964b https://www.springer.com/us/book/9781484241660 Genetic Algorithm (GA) Optimization - Step-by-Step Example https://www.slideshare.net/AhmedGadFCIT/genetic-algorithm-ga-optimization-stepbystep-example Genetic Algorithm Implementation in Python...

    https://www.kdnuggets.com/2019/03/artificial-neural-networks-optimization-genetic-algorithm-python.html

  • Feature Reduction using Genetic Algorithm with Python

    ...dsdatascience.com/introduction-to-optimization-with-genetic-algorithm-2f5001d9964b Genetic Algorithm (GA) Optimization - Step-by-Step Example https://www.slideshare.net/AhmedGadFCIT/genetic-algorithm-ga-optimization-stepbystep-example Genetic Algorithm Implementation in Python...

    https://www.kdnuggets.com/2019/03/feature-reduction-genetic-algorithm-python.html

  • 3 practical thoughts on why deep learning performs so well

    …/blog.neuroelectrics.com/how-good-is-my-computational-intelligence-algorithm-for-eeg-analysis/ [8] http://host.robots.ox.ac.uk/pascal/VOC/ [9] http://www.image-net.org/challenges/LSVRC/ [10] https://www.kaggle.com/ [11] https://www.drivendata.org/ [12] https://www.innocentive.com/ [13]…

    https://www.kdnuggets.com/2017/02/why-deep-learning-performs-so-well.html

  • NEW: 6 Hot Career Prospects in Data Science Industry Today

    …ifferent junctures of their career – Experience Average Salary 0-5 Years $60,000 5-10 Years $78,000 10-20 Years $89,000 20+ Years $87,000 [Reference: www.payscale.com/research/US/Job=Database_Administrator_(DBA)/Salary] Current Global Vacancy: Listed below are the number of job advertisements for…

    https://www.kdnuggets.com/2016/11/hot-career-prospects-data-science-industry.html

  • How AI will transform healthcare (and can it fix the US healthcare system?)">Silver BlogHow AI will transform healthcare (and can it fix the US healthcare system?)

    ...15). Alphabet Share Price Source for Image above: Yahoo Finance Google was one of the leaders in adopting Deep Learning technology in the wake of AlexNet victory in ImageNet. Dave Gershgorn explains the transformation of Google and Silicon Valley that resulted in the period from 2012 onwards in an...

    https://www.kdnuggets.com/2019/09/ai-transform-healthcare.html

  • The List of Top 10 Lists in Data Science">Gold BlogThe List of Top 10 Lists in Data Science

    ...; https://towardsdatascience.com/top-10-great-sites-with-free-data-sets-581ac8f6334 https://www.dataquest.io/blog/free-datasets-for-projects/ https://www.analyticsinsight.net/top-10-big-data-analytics-linkedin-groups/ https://www.linkedinsights.com/the-hot-100-linkedin-hashtags/...

    https://www.kdnuggets.com/2020/08/top-10-lists-data-science.html

  • Web Scraping for Data Science with Python

    ...r instance, we can use our collected information to export a graph and visualize it using Gephi, a popular graph viz tool: import pandas as pd import networkx as nx from networkx.readwrite.gexf import write_gexf df = pd.read_pickle('data.pkl') G = nx.Graph() for row in df.itertuples():...

    https://www.kdnuggets.com/2017/12/baesens-web-scraping-data-science-python.html

  • Analyzing Tweets with NLP in Minutes with Spark, Optimus and Twint

    ...ras?utm_source=Twitter&utm_campaign=Data_science … +1 Hal2000Bot #data #science Username: DataSci_Plow | Tweet: Five Methods to Debug your Neural Network https://www.plow.io/post/five-methods-to-debug-your-neural-network?utm_source=Twitter&utm_campaign=Data_science … +1 Hal2000Bot #data...

    https://www.kdnuggets.com/2019/05/analyzing-tweets-nlp-spark-optimus-twint.html

  • EDISON Data Science Framework to define the Data Science Profession

    …Agreement n. 675419 by the European Commission. This paper is the updated paper of the SciDataCon2016 conference paper initially published at http://www.scidatacon.org/2016/sessions/98/poster/75/ Bio: Yuri Demchenko is a Senior Researcher at the System and Network Engineering of the University of…

    https://www.kdnuggets.com/2016/10/edison-data-science-framework.html

  • Extracting Knowledge from Knowledge Graphs Using Facebook’s Pytorch-BigGraph

    ...s   Word embeddings drastically improve tasks like text classification, named entity recognition, machine translation. Here is more info: http://www.wildml.com/2015/11/understanding-convolutional-neural-networks-for-nlp/   Node2Vec   Node2Vec by A. Grover and J. Leskovec. is the...

    https://www.kdnuggets.com/2019/05/extracting-knowledge-graphs-facebook-pytorch-biggraph.html

  • 7 Big Data Steps in Health Science

    ...ticle... http://www.safetyandhealthmagazine.com/articles/13679-safety-leadership-safety-in-the-era-of-big-data-principles-for-getting-it-right http://www.fiercehealthit.com/story/how-use-big-data-can-cause-harm/2016-02-22...

    https://www.kdnuggets.com/2016/09/7-big-data-steps-health-science.html

  • KDD-2015, Sydney, August 10-12, Early Bird Reg Deadline June 30

    ...2015 Registration: www.kdd.org/kdd2015/registration.html Accepted Papers: www.kdd.org/kdd2015/program.html#accepted-research-papers Workshops: http://www.kdd.org/kdd2015/workshop.html Tutorials: www.kdd.org/kdd2015/tutorial.html KDD Cup: kddcup2015.com/information.html   Please become a SIGKDD...

    https://www.kdnuggets.com/2015/06/kdd-2015-sydney-august-early-bird.html

  • Interested in Datamining.net domain?

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    https://www.kdnuggets.com/2019/03/datamining-net.html

  • An Intuitive Guide to Deep Network Architectures

    …ehind the ResNet, Inception, and Xception architectures, and why they have become building blocks for so many subsequent works in computer vision. ResNet ResNet was born from a beautifully simple observation: why do very deep nets perform worse as you keep adding layers? Intuitively, deeper nets…

    https://www.kdnuggets.com/2017/08/intuitive-guide-deep-network-architectures.html

  • Most Viewed Data Mining Talks at Videolectures

    ...take more time to develop. Note that this only applies if we sort by the number of views. If we take the videos in the order sorted by videolectures.net’s popularity metric, there is no clear correlation between length and popularity. This is because the criteria for a “popular” video as defined...

    https://www.kdnuggets.com/2014/09/most-viewed-data-mining-talks-videolectures.html

  • Fixing a Major Weakness in Machine Learning of Images with Hinton’s Capsule Networks

    ...We’ll use Adam optimization to minimize cross-entropy error during training. Again, this functionality is readily accessible via PyTorch. def train_lenet5(lenet5,learning_rate=1e-4, epochs=10, try_cuda=True): t0 = time.time() if (try_cuda): if torch.cuda.is_available(): device =...

    https://www.kdnuggets.com/2019/05/machine-learning-images-hinton-capsule-networks.html

  • Summer School on Integrating Vision and Language with Deep Learning, March 21-24, Malta

    ...Malta Katerina Pastra, CSRI Athens, Greece Mike Rosner, University of Malta, Malta Tinne Tuytelaars, KU Leuven, Belgium iV&L Net: Website: http://ivl-net.eu/ http://www.cost.eu/COST_Actions/ict/Actions/IC1307 Enquiries: a.s.belz@brighton.ac.uk Related: 55 upcoming January – September Meetings in...

    https://www.kdnuggets.com/2016/01/summer-school-vision-language-deep-learning-march-malta.html

  • Gold BlogTop Programming Languages and Their Uses">Rewards BlogGold BlogTop Programming Languages and Their Uses

    ...and wanted by 18.5%, the most of any language. JavaScript was one of the key programming languages alongside HTML and CSS that helped build the internet. JavaScript was created in 1995 by Netscape, the company that released the famous Netscape Navigator browser, to eliminate the crudeness of...

    https://www.kdnuggets.com/2021/05/top-programming-languages.html

  • Deploying Secure and Scalable Streamlit Apps on AWS with Docker Swarm, Traefik and Keycloak

    ...e access log, with HTTP requests - --accesslog # Enable the Traefik log, for configurations and errors - --log # Enable the Dashboard and API - --api networks: # Use the public network created to be shared between Traefik and # any other service that needs to be publicly available with HTTPS -...

    https://www.kdnuggets.com/2020/10/deploying-secure-scalable-streamlit-apps-aws-docker-swarm-traefik-keycloak.html

  • Writing Your First Neural Net in Less Than 30 Lines of Code with Keras

    ...ssentropy', metrics=['accuracy']) I know… I know… it might seem like a lot, but let’s break it down together! We initialize a sequential model called network. network = models.Sequential() And we add our NN layers. For this example, we will be using dense layers. A dense layer simply means that...

    https://www.kdnuggets.com/2019/10/writing-first-neural-net-less-30-lines-code-keras.html

  • The Most Important Fundamentals of PyTorch you Should Know">Silver BlogThe Most Important Fundamentals of PyTorch you Should Know

    ...heart of a neural net and customizing it for your application or trying out bold new ideas with the architecture, optimization, and mechanics of the network. You can easily build complex interconnected networks, try out novel activation functions, mix and match custom loss functions, etc. The core...

    https://www.kdnuggets.com/2020/06/fundamentals-pytorch.html

  • Leveraging Agent-based Models (ABM) and Digital Twins to Prevent Injuries

    ...s/complexity-frontiers-artificial-intelligence-and-agent-based “Agent-based modeling and simulation tutorial - EASSS 2009 - Giuseppe Vizzari” https://www.slideshare.net/giuseppevizzari/agentbased-modeling-and-simulation-tutorial-easss-2009-giuseppe-vizzari “Towards a complex systems approach in...

    https://www.kdnuggets.com/2018/08/leveraging-agent-based-models-digital-twins-prevent-injuries.html

  • Profile: KDnuggets Serves Analytics and Big Data Fields

    ...present state of predictive analytics, data mining, and data science field. All KDnuggets News issues from the very first one are available online at www.kdnuggets.com/news/archive.html The most recent posts are at www.kdnuggets.com/news/ 2. History KDnuggets was started by Gregory...

    https://www.kdnuggets.com/2014/06/informs-profile-kdnuggets-serves-analytics-big-data-fields.html

  • Deep Learning for the Masses (… and The Semantic Layer)

    ...itialization of the parameters of the nets, better activation functions, the concept of Dropout, and some types of networks like Convolutional Neural Nets, Residual Nets, Region Bases CNNs, Recurrent Neural Networks and Generative Adversarial networks, are one of the most important advances we made...

    https://www.kdnuggets.com/2018/11/deep-learning-masses-semantic-layer.html

  • Age of AI Conference 2018 – Day 1 Highlights

    ...etc. Voyage cars can go up to 25-30 miles/hour. Considering the tough competition in the autonomous driving space, Voyage is playing with different monetization models. Three tenets have guided Voyage’s‘hygienic design principles’ Do not infer, that which you can measure. Universal approximators...

    https://www.kdnuggets.com/2018/02/age-ai-conference-2018-day-1.html

  • Internet of Things Tutorial: WSN and RFID – The Forerunners

    ...ion of each node is implemented (i.e. including location awareness) Transport Layer, which is needed for systems that are accessible through external networks or the Internet. In such case popular protocols (for the transport layer) such as TCP/UDP type can be used. Application Layer, where...

    https://www.kdnuggets.com/2017/01/internet-of-things-tutorial-chapter-2-wsn-rfid-forerunners.html

  • 7 Types of Artificial Neural Networks for Natural Language Processing">Silver Blog7 Types of Artificial Neural Networks for Natural Language Processing

    ...ogy/K15-1013 https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/CNN_ASLPTrans2-14.pdf https://en.wikipedia.org/wiki/Recursive_neural_network http://www.meanotek.ru/files/TarasovDS(2)2015-Dialogue.pdf https://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/9745/9552...

    https://www.kdnuggets.com/2017/10/7-types-artificial-neural-networks-natural-language-processing.html

  • Drexel University: Teaching Faculty positions in Data Science, Computer Science, and Computing Security & Technology

    ...rtise in the following areas is of special interest: security, computer forensics, applied cryptography, counter intelligence, server administration, network administration, network auditing tools, and enterprise systems management. To be considered, apply directly at...

    https://www.kdnuggets.com/jobs/17/12-01-drexel-teaching-faculty.html

  • Learning Data Science and Machine Learning: First Steps After The Roadmap">Silver BlogLearning Data Science and Machine Learning: First Steps After The Roadmap

    ...er, Data Scientist, or Deep Learning Engineer. #1 Linear algebra to represent data An image from the lecture on Vector Norms from the course: https://www.wiplane.com/p/foundations-for-data-science-ml ML is inherently data-driven because data is at the heart of machine learning. We can think of data...

    https://www.kdnuggets.com/2021/08/learn-data-science-machine-learning.html

  • TensorFlow: Building Feed-Forward Neural Networks Step-by-Step">Silver BlogTensorFlow: Building Feed-Forward Neural Networks Step-by-Step

    ...ensorFlow on Windows with CPU support: https://www.youtube.com/watch?v=MsONo20MRVU Intro. to deep learning + explaining how to solve XOR using neural network: https://www.youtube.com/watch?v=EjWDFt-2n9k Simple neural network example in Arabic: https://www.youtube.com/watch?v=Jv2d9f6QpJ0 Simple...

    https://www.kdnuggets.com/2017/10/tensorflow-building-feed-forward-neural-networks-step-by-step.html

  • Genetics as a Social Network – A Data Scientist Perspective

    ...NSFAC (www.gene-regulation.com/pub/databases.html). This procedure (www.cell.com/cell/abstract/S0092-8674(12)00639-3) enables us to reconstruct the genetic regulatory networks at play in every cell type in the body: Caption: Algorithmically generating the network from footprint data. Figure...

    https://www.kdnuggets.com/2015/01/genetics-as-social-network-data-scientist-perspective.html

  • Industry Analysts for Analytics, BI, Big Data, Data Mining, Data Science

    ...tle, www.AnilBatra.com/analytics/ Robin Bloor, @robinbloor blogger, humorist, technology analyst, maverick. Co-founder of Bloor Group. Austin, Texas. www.wordsyoudontknow.com/ Boris Evelson, @bevelson Business Intelligence industry analyst at Forrester Research...

    https://www.kdnuggets.com/2013/02/industry-analysts-analytics-big-data-mining-data-science.html

  • TU-Darmstadt-DIPF: Doctoral scholarship in machine learning

    ...nquiries should be sent to Prof. Dr. Iryna Gurevych and Prof. Dr. Marc Rittberger, e-mail: phd-application@ukp.informatik.tu-darmstadt.de. Links: [1] www.dipf.de/ [2] www.informatik.tu-darmstadt.de/ [3] www.kdsl.tu-darmstadt.de/ [4] www.kma.informatik.tu-darmstadt.de/ [5]...

    https://www.kdnuggets.com/academic/13/06-04-tu-darmstadt-dipf-doctoral-scholarship-machine-learning.html

  • 11 Data Visualization Experts on Twitter, plus 1

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    https://www.kdnuggets.com/2013/03/11-data-visualization-experts-on-twitter.html

  • 5 Things You Need to Know about Big Data">Gold Blog5 Things You Need to Know about Big Data

    ..., SAS or SQL A good understanding of Maths and Statistics Experience on how to scrape a webpage Basic Excel skills Websites such as Coursera (https://www.coursera.org/specializations/big-data) and Simpli Learn (https://www.simplilearn.com/big-data-and-analytics/big-data-and-hadoop-training) offer...

    https://www.kdnuggets.com/2018/03/5-things-big-data.html

  • Microsoft Research Uses Transfer Learning to Train Real-World Autonomous Drones

    ...next visible gate along with background features into a low-dimensional latent representation. This latent representation is then fed into a control network, which outputs a velocity command, later translated into actuator commands by the UAV’s flight controller Source:...

    https://www.kdnuggets.com/2020/03/microsoft-research-transfer-learning-train-real-world-autonomous-drones.html

  • Monash University: Research Fellow – AI Optimisation Group

    ...in the stunning City of Melbourne. Melbourne recently has been rated the #1 city worldwide for quality of life (see Economist & Guardian, http://www.economist.com/blogs/graphicdetail/2016/08/daily-chart-14 and...

    https://www.kdnuggets.com/jobs/18/06-28-monash-university-research-fellow.html

  • Platinum BlogData Science MOOCs are too Superficial">Silver BlogPlatinum BlogData Science MOOCs are too Superficial

    ...C include the following: a) edx: https://www.edx.org/ b) Coursera: https://www.coursera.org/ c) DataCamp: https://www.datacamp.com/ d) Udemy: https://www.udemy.com/ e) Udacity: https://www.udacity.com/ f) Lynda: https://www.lynda.com/ Since MOOCs are becoming more and more popular, the natural...

    https://www.kdnuggets.com/2020/07/data-science-moocs-superficial.html

  • Machine Learning Skills – Update Yours This Summer

    ...lp you understand the basics of NN. Then for the in-depth understanding, you can follow these 4 lectures: Kian Ktanfrosh CS229 Introduction to Neural Networks Neural Networks 1 by Andrej Karpathy Neural Networks 2 by Andrej Karpathy Neural Networks 3, Introduction to ConvNets by Andrej Karpathy Day...

    https://www.kdnuggets.com/2021/07/update-your-machine-learning-skills.html

  • 10 resources for data science self-study

    ...ers has given rise to a proliferation of massive open online courses (MOOCs). The most popular providers of MOOCs include the following: edX: https://www.edx.org/ Coursera: https://www.coursera.org/ DataCamp: https://www.datacamp.com/ Udemy: https://www.udemy.com/ Udacity: https://www.udacity.com/...

    https://www.kdnuggets.com/2021/02/10-resources-data-science-self-study.html

  • Understanding Cancer using Machine Learning">Silver BlogUnderstanding Cancer using Machine Learning

    ...ngaswamy, and Pierre Thirion. Prostate Cancer in a Male with Holt-Oram Syndrome: First Clinical Association of the TBX5 Mutation Accessed at: https://www.hindawi.com/journals/criu/2013/405343/, May 2019. [6] Yu J, Ma X, et al. Epigenetic inactivation of T-box transcription factor 5, a novel tumour...

    https://www.kdnuggets.com/2019/08/understanding-cancer-machine-learning.html

  • Machine Fairness: How to assess AI system’s fairness and mitigate any observed unfairness issues

    ...to contribute   For references and additional resources, please refer to: Fairlearn GitHub repo: www.aka.ms/FairlearnAI Azure Machine Learning: www.aka.ms/AzureMLDoc Responsible ML at Microsoft Build: www.aka.ms/Build2020ResponsibleML Responsible ML on Azure: www.aka.ms/AzureResponsibleML...

    https://www.kdnuggets.com/2020/05/machine-fairness-assess-ai-system-mitigate.html

  • Two Major Difficulties in AI and One Applied Solution

    ...ra-wachter-2018-10 and https://www.oii.ox.ac.uk/blog/could-counterfactuals-explain-algorithmic-decisions-without-opening-the-black-box/. [ii] https://www.darpa.mil/news-events/2018-09-07, https://www.youtube.com/watch?v=-O01G3tSYpU&t=636s [iii]...

    https://www.kdnuggets.com/2019/02/ai-chess-difficulties-solution.html

  • 2018’s Top 7 Python Libraries for Data Science and AI">Gold Blog2018’s Top 7 Python Libraries for Data Science and AI

    ...be considered.   Top 7 for Python   7. AdaNet — Fast and flexible AutoML with learning guarantees.   https://github.com/tensorflow/adanetAdaNet is a lightweight and scalable TensorFlow AutoML framework for training and deploying adaptive neural networks using the AdaNet algorithm...

    https://www.kdnuggets.com/2019/01/vazquez-2018-top-7-python-libraries.html

  • What Dog Breed is That? Let AI “fetch” it for you!

    ...lically announced in October 2014. In the recent past, Microsoft has released several fun applications of Artificial Intelligence, such as TwinsOrNot.net, MyMoustache.net and the viral hit How-Old.net. Related: Big Data Lessons from Microsoft “how-old” Experiment 10 reasons why how-old.net went...

    https://www.kdnuggets.com/2016/02/what-dog-breed-ai-fetch.html

  • 5 Deep Learning Projects You Can No Longer Overlook

    ...ious, less mature project of the same name. Here is an example of approximating the exclusive or (XOR) function with Brain: var net = new brain.NeuralNetwork(); net.train([{input: [0, 0], output: [0]}, {input: [0, 1], output: [1]}, {input: [1, 0], output: [1]}, {input: [1, 1], output: [0]}]); var...

    https://www.kdnuggets.com/2016/07/five-deep-learning-projects-cant-overlook.html

  • Contest Winner: Winning the AutoML Challenge with Auto-sklearn

    ...this gap. So far it is restricted to simple feed forward neural networks, but in the future we aim to extend it to convolutional and recurrent neural networks. Auto-Net contains layer-independent network hyperparameters (such as the learning rate or the number of layers) as well as hyperparameters...

    https://www.kdnuggets.com/2016/08/winning-automl-challenge-auto-sklearn.html

  • Recurrent Neural Net describes images like Taylor Swift or Romantic Novel

    ...Swift). neural-storyteller neural-storyteller is a recently published experiment by Ryan Kiros (University of Toronto). It combines recurrent neural networks (RNN), skip-thoughts vectors and other techniques to generate little stories about images. Neural-storyteller’s outputs are creative and...

    https://www.kdnuggets.com/2015/11/samim-recurrent-neural-net-describe-images-taylor-swift.html

  • KDnuggets™ News 15:n36, Nov 4: Integrating R, Python; Neural Net in 11 lines; Top 20 AI/Machine Learning books

    ..., Overviews, How-Tos Overview of Python Visualization Tools Tutorial: Building a Twitter Sentiment Analysis Process Data Mining for Predictive Social Network Analysis - Brazil Elections Case Study Integrating Python and R, Part 2: Executing R from Python and Vice Versa    Opinions Why...

    https://www.kdnuggets.com/2015/n36.html

  • Introducing Gen: MIT’s New Language That Wants to be the TensorFlow of Programmable Inference">Gold BlogIntroducing Gen: MIT’s New Language That Wants to be the TensorFlow of Programmable Inference

    ...experts to easily customize inference. Infer.Net Microsoft recently open sourced Infer.Net a framework that simplifies probabilistic programming for .Net developers. Microsoft Research has been working on Infer.Net since 2004 but it has been only recently, with the emergence of deep learning, that...

    https://www.kdnuggets.com/2019/07/introducing-gen-language-progammable-inference.html

  • Deep Learning for Object Detection: A Comprehensive Review">Silver BlogDeep Learning for Object Detection: A Comprehensive Review

    ...01 Faster RCNN with Inception Resnet v2 In my last blog post, I covered the intuition behind the three base network architectures listed above: MobileNets, Inception, and ResNet. This time around, I want to do the same for Tensorflow’s object detection models: Faster R-CNN, R-FCN, and SSD. By the...

    https://www.kdnuggets.com/2017/10/deep-learning-object-detection-comprehensive-review.html

  • A Simple Starter Guide to Build a Neural Network">Silver BlogA Simple Starter Guide to Build a Neural Network

    ...can have 0.8 likability to a dog class and a 0.3 likability to a airplane class. Instantiate the FNN We now create a real FNN based on our structure. net = Net(input_size, hidden_size, num_classes) Enable GPU Note: You could enable this line to run the codes on GPU # net.cuda() # You can comment...

    https://www.kdnuggets.com/2018/02/simple-starter-guide-build-neural-network.html

  • Transfer Learning Made Easy: Coding a Powerful Technique

    ...ional approach? Now, traditionally, tutorials on this topic have focused on learning from famous, high-performance deep learning networks, such as VGGNet-16, ResNet-50, or Inception-V3/V4, etc. These networks were trained on the massive ImageNet database, and secured top places in the annual...

    https://www.kdnuggets.com/2019/11/transfer-learning-coding.html

  • Basics of Audio File Processing in R

    ...Mechanical Wave A sound wave is a mechanical wave that propagates along or through a medium by particle-to-particle interaction. As a…   https://www.nde-ed.org/EducationResources/HighSchool/Sound/components.htm https://arxiv.org/pdf/1207.5104.pdf...

    https://www.kdnuggets.com/2020/02/basics-audio-file-processing-r.html

  • Taming the Internet of Things – KNIME Case Study

    ...ctive competence. Only an open architecture can provide such a flexible environment, to expand and adapt the tool bench in unpredictable ways (http://www.knime.org/open-for-innovation). The Internet of Things is a very good example of the data explosion that is occurring in most fields, from social...

    https://www.kdnuggets.com/2014/09/taming-internet-things-knime-case-study.html

  • Virginia Tech: Faculty in AI/Machine Learning, Software Engineering, Data Analytics

    ...ill contribute to the research and graduate programs in NCR and collaborate with faculty at Virginia Tech's campus in Blacksburg, VA. The NCR campus (www.ncr.vt.edu) is located near Washington, D.C./Falls Church area and houses the Virginia Tech Research Center (www.ncr.vt.edu/arlington) in...

    https://www.kdnuggets.com/academic/14/10-16-vt-faculty-ai-software-data-analytics.html

  • Big Data Innovators Under 35

    ...nologyreview.com/lists/innovators-under-35/2014/entrepreneur/rand-hindi/ Quoc Le, developed a method for much faster training of Deep Learning Neural networks. His technology was used by Google and sparked a race at Facebook, Microsoft, and other companies to invest in deep-learning research. MIT...

    https://www.kdnuggets.com/2015/02/big-data-innovators-under-35.html

  • Baby Boom: Udemy Excel Tutorial on Analyzing Large Data Sets

    ...ted and what it contains (or what it leaves out). The background information given by the Social Security Administration about this dataset at http://www.ssa.gov/oact/babynames/background.html and http://www.ssa.gov/oact/babynames/limits.html points out that any names with fewer than five births is...

    https://www.kdnuggets.com/2015/04/baby-boom-udemy-excel-tutorial-analyzing-large-data-sets.html

  • Outlier Detection for Temporal Data

    ...ons to Synthesis are available for just $99.00 per year. This subscription will provide individuals with unrestricted access to all Synthesis titles: www.morganclaypool.com/page/subscribe Available titles and subject areas: www.morganclaypool.com/page/browseLbS.jsp Information for librarians,...

    https://www.kdnuggets.com/2014/05/book-outlier-detection-temporal-data.html

  • Uni-Weimar: Research positions in Big data analytics, IR, machine learning

    ...mation mining and retrieval, machine learning, natural language processing, and information extraction. (Also see the the job advertisement at http://www.uni-weimar.de/de/universitaet/aktuell/stellenausschreibungen/m0210e/ or the German version at...

    https://www.kdnuggets.com/academic/14/02-15-uni-weimar-research-positions-big-data-analytics-ir-machine-learning.html

  • Five types of thinking for a high performing data scientist">Gold Blog Five types of thinking for a high performing data scientist

    ...in 1980. However, the importance of computational thinking as a critical component of computer science education came much later with a paper by Jeannette Wing [10]. The foundations of computational thinking have been maturing over the last half of the previous century with algorithmic thinking,...

    https://www.kdnuggets.com/2021/06/five-types-thinking-data-scientist.html

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