Submit a blog to KDnuggets -- Top Blogs Win A Reward

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

Search results for ��������������������������������KaKaotalk:ZA32������������������������������������������������������������:www.za32.net

    Found 194 documents, 12118 searched:

  • Get Network insights in Excel with NodeXL

    ...n have a large group of isolate users in the G1 position in their network. Among these users, ten people and accounts are most in the "center" of the network (in terms of the network metric "betweenness centrality"): These contributors (@kdnuggets, @ronald_vanloon, @alevergara78, @deeplearn007,...

    https://www.kdnuggets.com/2017/12/nodexl-network-insights-excel.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

  • Know Your Data: Part 2

    ...chive/Vol2-Iss2-05-duplicate-detection-of-records-in-queries-using-clustering.pdf https://www.cs.utah.edu/~jeffp/teaching/cs5140/L19-Noise.pdf http://www-users.cs.umn.edu/~kumar/dmbook/index.php https://www.analyticsvidhya.com/blog/2016/01/guide-data-exploration/...

    https://www.kdnuggets.com/2019/10/know-data-part-2.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

  • Text Mining in Python: Steps and Examples

    ...ng. Keep learning and stay tuned for more!   Reference:   https://www.expertsystem.com/natural-language-processing-and-text-mining/ https://www.nltk.org https://www.edureka.co https://www.geeksforgeeks.org/nlp-chunk-tree-to-text-and-chaining-chunk-transformation/...

    https://www.kdnuggets.com/2020/05/text-mining-python-steps-examples.html

  • NEC Laboratories America: Researcher, Data Science

    ...e of New Jersey's most beautiful and idyllic towns. The area offers many exciting cultural, entertainment and outdoor activities. The office is minutes away from Princeton University and an hour from New York, Philadelphia, and the Atlantic Ocean. For more information about NEC labs, access...

    https://www.kdnuggets.com/jobs/18/01-29-nec-researcher-data-science.html

  • Monash University: Research Fellow – AI Optimisation Group (Melbourne, Australia)

    ...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/18/08-16-monash-university-research-fellow.html

  • Microsoft Explores Three Key Mysteries of Ensemble Learning

    ...mble learning: 1) How does ensemble improve the test-time performance in deep learning when we simply average over a few independently trained neural networks? 2) How can such superior test-time performance of ensemble be later “distilled” into a single neural network of the same architecture,...

    https://www.kdnuggets.com/2021/02/microsoft-explores-three-key-mysteries-ensemble-learning.html

  • Complete Guide to Build ConvNet HTTP-Based Application using TensorFlow and Flask RESTful Python API">Silver BlogComplete Guide to Build ConvNet HTTP-Based Application using TensorFlow and Flask RESTful Python API

    ...research interests include deep learning, machine learning, artificial intelligence, digital signal processing, and computer vision. Original. Reposted with permission. Related: Building Convolutional Neural Network using NumPy from Scratch Derivation of Convolutional Neural Network from Fully...

    https://www.kdnuggets.com/2018/05/complete-guide-convnet-tensorflow-flask-restful-python-api.html

  • Web Scraping Tutorial with Python: Tips and Tricks">Gold BlogWeb Scraping Tutorial with Python: Tips and Tricks

    ...Splits the list into n chunks""" return np.array_split(page_list,n) cpus = multi.cpu_count() workers = [] page_list = ['www.website.com/page1.html', 'www.website.com/page2.html' 'www.website.com/page3.html', 'www.website.com/page4.html'] page_bins = chunks(cpus, page_list) for cpu in range(cpus):...

    https://www.kdnuggets.com/2018/02/web-scraping-tutorial-python.html

  • Deep Learning With Apache Spark: Part 1

    ...es Part 1: A Gentle Introduction Are you familiar with Scikit-learn Pipelines? They are an extremely simple yet very useful tool for managing machine…www.kdnuggets.com Managing Machine Learning Workflows with Scikit-learn Pipelines Part 2: Integrating Grid Search In our last post we looked at...

    https://www.kdnuggets.com/2018/04/deep-learning-apache-spark-part-1.html

  • Boost Your Image Classification Model

    ...st Constituent models are of different natures. Eg, ensembling a ResNet50 and InceptionNet would be much more useful then combining a ResNet50 and ResNet34 net as they are different in nature Constituent models have lower correlation Changing training set for each of the models; so that there is...

    https://www.kdnuggets.com/2019/05/boost-your-image-classification-model.html

  • How I started with learning AI in the last 2 months">Silver BlogHow I started with learning AI in the last 2 months

    …nn’) var opts = { layers: [ 4 ], iterations: 300000, errorThresh: 0.0000005, activation: ‘logistic’, learningRate: 0.4, momentum: 0.5, log: 100 } var net = nn(opts) net.train([ { input: [ 0,0,1 ], output: [ 0 ] }, { input: [ 0,1,1 ], output: [ 0 ] }, { input: [ 1,0,1 ], output: [ 0 ] }, { input: […

    https://www.kdnuggets.com/2017/10/how-started-learning-ai.html

  • 37 Reasons why your Neural Network is not working">Silver Blog, Aug 201737 Reasons why your Neural Network is not working

    …you might need to balance your loss function or try other class imbalance approaches. 9. Do you have enough training examples? If you are training a net from scratch (i.e. not finetuning), you probably need lots of data. For image classification, people say you need a 1000 images per class or…

    https://www.kdnuggets.com/2017/08/37-reasons-neural-network-not-working.html

  • How a simple mix of object-oriented programming can sharpen your deep learning prototype

    ...e spent to achieve a target performance metric and how the choice of architecture impacts that. In this example, we will not even use a convolutional net, as a simple densely connected neural net can accomplish reasonably high accuracy, and, in fact, a somewhat sub-optimal performance is required...

    https://www.kdnuggets.com/2019/08/simple-mix-object-oriented-programming-sharpen-deep-learning-prototype.html

  • A Guide to Instagramming with Python for Data Analysis">Silver Blog, Aug 2017A Guide to Instagramming with Python for Data Analysis

    ...dn.net/t51.2885-1aaa7448121591_1aa.jpg', u'width': 1080}, u'hd_profile_pic_versions': [{u'height': 320, u'url': u'https://instagram.fcai2-1.fna.fbcdn.net/t51.2885-19/s320x320/19aa23237_4337448121591_195310aaa32_a.jpg', u'width': 320}, {u'height': 640, u'url':...

    https://www.kdnuggets.com/2017/08/instagram-python-data-analysis.html

  • A Single Function to Streamline Image Classification with Keras

    ...tion and train a CNN model with our chosen classes. Is the model any good? Let’s find out by testing it with random pictures downloaded from the internet. Remember, the Caltech-101 dataset was created by Fei Fei Li and colleagues back in 2003. So, there is little chance that any of the newer images...

    https://www.kdnuggets.com/2019/09/single-function-streamline-image-classification-keras.html

  • Cooperative Trust Among Neural Networks Drives Deeper Learning

    ...., photo) that was generated by one neural network (called the “generative network”) for ingest by another neural network (called the “discriminative network”). The former network relies on supervised learning in order to adjust its weights in an effort to “trick” the discriminator into believing...

    https://www.kdnuggets.com/2017/02/ibm-cooperative-trust-neural-networks-deeper-learning.html

  • How to Know if a Neural Network is Right for Your Machine Learning Initiative

    ...lly, the steep costs of deep learning would give any company pause, as the FAANG companies have spent over $30,000 to train just a single (very) deep net. Even the largest tech companies on the planet struggle with the scale, depth, and complexity of venturing into neural nets, while the same...

    https://www.kdnuggets.com/2020/11/neural-network-right-machine-learning-initiative.html

  • 10 Underappreciated Python Packages for Machine Learning Practitioners">Gold Blog10 Underappreciated Python Packages for Machine Learning Practitioners

    ...top_classes=3) gr.Interface(fn=classify, inputs=sketchpad, outputs=label, capture_session=True).launch()# EXAMPLE-2:Image-classifcation with InceptionNet-V3inception_net = tf.keras.applications.InceptionV3() # load the model # Download human-readable labels for ImageNet. response =...

    https://www.kdnuggets.com/2021/01/10-underappreciated-python-packages-machine-learning-practitioners.html

  • A 2019 Guide to Human Pose Estimation

    ...networks…   source   One of the methods used to optimize pose estimation for crowded images is a single-person pose estimator using the ResNet50 network as the backbone. The method is a two-stage, top-down approach that localizes each person and then performs a single-person pose...

    https://www.kdnuggets.com/2019/08/2019-guide-human-pose-estimation.html

  • Governance in Data Science

    ...data sources are worth using for modeling purposes. At Windfall, this means determining if adding a new data source will improve the accuracy of our net worth models. A data scientist in this role should be able to work with third party data in a variety of data formats and types of sources, and...

    https://www.kdnuggets.com/2018/01/governance-data-science.html

  • Open Source Tools for Machine Learning

    ...NU GPLv3-licensed collection has a package system to extend its functionality, with both official and unofficial packages available. Original: http://www.networkworld.com/article/2855100/opensource-subnet/11-open-source-tools-machine-learning.html Related: More Data Mining with Weka Rattle package...

    https://www.kdnuggets.com/2014/12/open-source-tools-machine-learning.html

  • Neural Network Software for Classification

    ...7, freeware for fast development, validation, and application of neural and conventional classifiers including multilayer perceptron, functional link net, piecewise linear net, nearest neighbor classifier, self organizing map. Sciengy RPF, a free application for data mining with self-organizing...

    https://www.kdnuggets.com/software/classification-neural.html

  • Generative Adversarial Networks – Hot Topic in Machine Learning

    …. Reposted by Permission. Bio: Al Gharakhanian is well-rounded executive with extensive experience in Product Marketing, Sales, and Business Development in Semiconductors, Machine Learning, and Data Science. Related: Deep Learning Research Review: Generative Adversarial Nets Are Deep Neural…

    https://www.kdnuggets.com/2017/01/generative-adversarial-networks-hot-topic-machine-learning.html

  • Deep Learning for Visual Question Answering

    …to check these two awesome blogs: Colah’s Blog and Karpathy’s Blog. Specifically, check out the posts on Recurrent Neural Nets, Convolutional Neural Nets and LSTM Nets. The models in this post take inspiration from this ICCV 2015 paper, this ICCV 2015 paper, and this NIPS 2015 paper. Generating…

    https://www.kdnuggets.com/2015/11/deep-learning-visual-question-answering.html

  • KDnuggets™ News 14:n24, Sep 18

    ...nce in Data Science. CFP Sep 27, 2014 IEEE Int. Conf. on Big Data (IEEE BigData 2014) - Call for Posters, Washington DC, USA. Oct 27-30, 2014 Sep 28, NetSci-x2015, Int. School and Conf. on Network Science, Rio de Janeiro, Brazil. Jan 14-16, 2015 Oct 8, 15th Conf. on Artificial Intelligence in...

    https://www.kdnuggets.com/2014/n24.html

  • What is the Role of the Activation Function in a Neural Network?

    ...open source. Author of 'Python Machine Learning'. Michigan State University. Original. Reposted with permission. Related: What is the Difference Between Deep Learning and “Regular” Machine Learning? A Visual Explanation of the Back Propagation Algorithm for Neural Networks Troubleshooting Neural...

    https://www.kdnuggets.com/2016/08/role-activation-function-neural-network.html

  • 5 Machine Learning Projects You Can No Longer Overlook, January">Gold Blog5 Machine Learning Projects You Can No Longer Overlook, January

    ...mentation for said language. No installation is necessary; just download and #include. From its repo: A short, self-contained, and easy-to-use neural net implementation for C++. It includes the neural net implementation and a Matrix class for basic linear algebra operations. This project is mostly...

    https://www.kdnuggets.com/2017/01/five-machine-learning-projects-cant-overlook-january.html

  • How to Tackle a Lottery with Mathematics

    ...wager the following fraction of their total wealth: Expected net profit / Net profit if you are successful In the lottery example above, the expected net profit is $0.50 ($2.50 minus the $2 cost of the ticket). And the net profit if successful is $10m. So according to the Kelly criterion, the...

    https://www.kdnuggets.com/2016/01/how-tackle-lottery-mathematics.html

  • Tier 2 Canada Research Chairs in Big Data Analytics

    …n’s commitment to equity, diversity, and inclusion in scholarship, pedagogy, and curriculum. For Ryerson University’s research strategy, please visit www.ryerson.ca/research/SRC%20Strategic%20Plan%202010-2013.pdf. Areas of research for the technical aspects/challenges CRC may include distributed…

    https://www.kdnuggets.com/academic/13/07-05-ryerson-tier-2-canada-research-chairs-big-data-analytics.html

  • Postdocs, Machine Learning

    ...g Technology, Wearable Computing and Instrumentation, Data Mining or Energy Harvesting. Press release: www.bristol.ac.uk/news/2013/9358.html To apply www.bris.ac.uk/jobs/engineering www.jobs.ac.uk/cgi-bin/search.cgi?keywords=sphere+bristol...

    https://www.kdnuggets.com/academic/13/05-22-bristol-postdocs-machine-learning.html

  • DIPF: Doctoral scholarships in knowledge discovery / machine learning

    ..._: Applications should be sent to Prof. Dr. Iryna Gurevych and Prof. Dr. Marc Rittberger, e-mail: phd-application@ukp.informatik.tu-darmstadt.de. [1] www.kdsl.tu-darmstadt.de [2] www.kdsl.tu-darmstadt.de/de/home/research-program/personalized-content-acquisition-from-heterogeneous-sources/ [3]...

    https://www.kdnuggets.com/academic/13/02-07-dipf-doctoral-scholarships-knowledge-discovery-machine-learning.html

  • Top 10 Videos on Deep Learning in Python">Silver BlogTop 10 Videos on Deep Learning in Python

    ...n you can refer to this talk by Alec Radford. Unlike most other talks on this topic, this one compares the features of an ‘old’ net versus a ‘modern’ net, ie nets prior to 2000 versus nets post-2012. 6. Playlist: PyTorch Zero to All (3 K views) - 2 hours 15 minutes In this series of 11 videos, Sung...

    https://www.kdnuggets.com/2017/11/top-10-videos-deep-learning-python.html

  • Bayesian Machine Learning, Explained">2016 Silver BlogBayesian Machine Learning, Explained

    ...ET is Microsoft’s library for probabilistic programming. It’s mainly available from languages like C# and F#, but apparently can also be called from .NET’s IronPython. Infer.net uses expectation propagation by default. Besides those, there’s a myriad of packages implementing various flavours of...

    https://www.kdnuggets.com/2016/07/bayesian-machine-learning-explained.html

  • Medical Image Analysis with Deep Learning , Part 2

    ...c https://ujjwalkarn.me/2016/08/11/intuitive-explanation-convnets/ https://medium.com/technologymadeeasy/the-best-explanation-of-convolutional-neural-networks-on-the-internet-fbb8b1ad5df8 http://image-net.org/challenges/posters/JKU_EN_RGB_Schwarz_poster.pdf Bio: Taposh Roy leads innovation team in...

    https://www.kdnuggets.com/2017/04/medical-image-analysis-deep-learning-part-2.html

  • Multi-Task Learning in Tensorflow: Part 1

    ...del_Loss) How To Use Graphs for Multi-Task Learning   When we create a Neural Net that performs multiple tasks we want to have some parts of the network that are shared, and other parts of the network that are specific to each individual task. When we’re training, we want information from each...

    https://www.kdnuggets.com/2016/07/multi-task-learning-tensorflow-part-1.html

  • Learning Curves for Machine Learning

    ...es the net hourly electrical energy output. All the other variables are potential features, and the values for each are actually hourly averages (not net values, like for PE). The electricity is generated by gas turbines, steam turbines, and heat recovery steam generators. According to the...

    https://www.kdnuggets.com/2018/01/learning-curves-machine-learning.html

  • How to Fine-Tune BERT Transformer with spaCy 3

    ...puter Science or related field (Equivalent experience can substitute for earned educational qualifications) - Minimum 4 years experience with C# and .NET - Minimum 4 years overall experience in developing commercial software ''' ] for doc in nlp.pipe(text, disable=["tagger", "parser"]):...

    https://www.kdnuggets.com/2021/06/fine-tune-bert-transformer-spacy.html

  • Auto Rotate Images Using Deep Learning

    ...images. The Caffe model was trained by right angle faces images so it will detect only if the face image is the correct angle. def detect_face(frame):net = cv2.dnn.readNetFromCaffe(‘deploy.prototxt’, ‘res10_300x300_ssd_iter_140000.caffemodel’) (h, w) = frame.shape[:2]blob =...

    https://www.kdnuggets.com/2020/07/auto-rotate-images-deep-learning.html

  • What is Softmax Regression and How is it Related to Logistic Regression?

    ...and w0 is the bias unit.) Now, this softmax function computes the probability that this training sample x(i) belongs to class j given the weight and net input z(i). So, we compute the probability p(y = j | x(i); wj) for each class label in j = 1, ..., k. Note the normalization term in the...

    https://www.kdnuggets.com/2016/07/softmax-regression-related-logistic-regression.html

  • 6 Easy Steps to Implement a Computer Vision Application Using Tensorflow.js

    ...uter vision applications. ...

    https://www.kdnuggets.com/2020/06/6-easy-steps-implement-computer-vision-application-tensorflow-js.html

  • A 2019 Guide to Semantic Segmentation

    ...and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation Fully Convolutional Networks for Semantic Segmentation U-Net: Convolutional Networks for Biomedical Image Segmentation The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic...

    https://www.kdnuggets.com/2019/08/2019-guide-semantic-segmentation.html

  • MNIST Generative Adversarial Model in Keras

    ...on the high level network so we introduce a simple function to do this. # Freeze weights in the discriminator for stacked training def make_trainable(net, val): net.trainable = val for l in net.layers: l.trainable = val make_trainable(discriminator, False) # Build stacked GAN model gan_input =...

    https://www.kdnuggets.com/2016/07/mnist-generative-adversarial-model-keras.html

  • Google’s AutoML: Cutting Through the Hype

    ...its use to a smaller community of scientists and engineers. That’s why we’ve created an approach called AutoML, showing that it’s possible for neural nets to design neural nets. We hope AutoML will take an ability that a few PhDs have today and will make it possible in three to five years for...

    https://www.kdnuggets.com/2018/07/google-automl-cutting-through-hype.html

  • Talking Machine – Deep Learning in Speech Recognition

    …ps based on the way speech recognition works. Actually, the first step is still to train a Gaussian Mixture Model, to create training data for neural net. “The people, who are working in core recognition technology, I think, are all using neural nets now. Some of them are using neural language…

    https://www.kdnuggets.com/2015/05/talking-machine-deep-learning-speech-recognition.html

  • Viscovery 6.0 Visual Data-Mining Platform

    ...h as a correlation- independent measure for the influence of individual attributes on a target attribute. Download a summary of the new features from www.viscovery.net/data-sheets. "One of the things customers like most about the new release is that the identification of interesting attributes in...

    https://www.kdnuggets.com/2013/05/viscovery-60-visual-data-mining-platform.html

  • Uplift Modeling Opportunities at PAW Chicago, June 20-23, 2016, and PAW New York

    ...University These speakers will examine two recent advances – uplift modeling (aka true lift modeling) and directed acyclic graphs (DAGs, aka Bayesian networks) – that are only now being applied to business decisions. Learn more. SESSION: Parametric Uplift Regression Models Presented by Matthew...

    https://www.kdnuggets.com/2016/04/uplift-modeling-opportunities-paw-chicago.html

  • 2013 Acquisitions in Analytics and Big Data

    …ics used in Wall Street trading bit.ly/14XJyQi Software AG buys Apama from Progress Software to boost #BigData analytics, complex event processing zd.net/1abiS4b Datawatch to buy Swedish data visualization and analytics vendor Panopticon for $31 M bit.ly/17jE6hD Jul 2013 EMC to buy privately held…

    https://www.kdnuggets.com/2013/08/recent-acquisitions-big-data.html

  • Data Mining, Data Science, and Analytics News, Oct 2013

    ...Learning Will Revolutionize #BigData; See how easy it is to find patterns in random data; Applied Data Science - free, self-guided online course BabelNet multilingual encyclopedic dictionary and ontology - Oct 16, 2013. BabelNet is a multilingual "encyclopedic dictionary" and a multilingual...

    https://www.kdnuggets.com/2013/10/index.html

  • Q4 2013 Courses on Predictive Analytics, Big Data, Data Mining, and Data Science

    ...;D Specialists, 5-day intensive course provides both fundamental background and practical skills to design robust classifiers in industry. Delft, The Netherlands.   November 2013 When Event Nov 4-5 Exploratory Analysis for Large and Complex Problems Using SAS Enterprise Miner, SAS and Jeff...

    https://www.kdnuggets.com/2013/10/q4-courses-analytics-big-data-mining-data-science.html

  • Top KDnuggets tweets, July 5-7: Good #BigData summer reading list; Data Mining and Jay-Z

    …s part of the problem bit.ly/10H4uwG Most Favorited: Good #BigData summer reading list (I would also add Eric Siegel “Predictive Analytics” book ) zd.net/17ZIWRq Top 10 Tweets Good #BigData summer reading list (I would also add Eric Siegel “Predictive Analytics” book ) zd.net/17ZIWRq Data Mining…

    https://www.kdnuggets.com/2013/07/top-tweets-jul5-7.html

  • September Analytics, Big Data, Data Mining companies and startups activity

    ...1.25M #BigDataCo tcrn.ch/18s5fPx Splunk to buy BugSense, a leading analytics solution for machine data generated by mobile devices #BigDataCo on.mktw.net/189zokB Glassbeam , machine data analytics firm, raises $3 M in round led by VKRM Group #BigDataCo on.mktw.net/1aW9u7N Rocket Fuel, which uses AI...

    https://www.kdnuggets.com/2013/10/september-analytics-big-data-mining-companies-startups.html

  • Hitchhikers Guide to Azure Machine Learning Studio

    ...Web Service One of the best feature of Azure Machine Learning Studio is that it provides a building Web Service tutorial which could be access using .NET, Python or R Shiny App. We are now going to build a web service on the top of our predictive service. It is as simple as eating a cake. Click on...

    https://www.kdnuggets.com/2016/01/guide-azure-machine-learning-studio.html

  • All Machine Learning Models Have Flaws

    ...of course, but it forms a starting point for understanding what’s out there. (Please fill in the what/pro/con of anything I missed.) Original: hunch.net/?p=224 Bio: John Langford is a machine learning research scientist, a field which he says "is shifting from an academic discipline to an...

    https://www.kdnuggets.com/2015/03/all-machine-learning-models-have-flaws.html

  • Most Viewed Machine Learning Talks at Videolectures

    ...duction to Information Theory, David MacKay, 13931 views, 1:01:50 (November 5, 2012, at Course on Information Theory, Pattern Recognition, and Neural Networks) Information Theory, David MacKay, 13694 views, 1:26:35 (November 2, 2009, at Machine Learning Summer School (MLSS), Cambridge 2009)...

    https://www.kdnuggets.com/2014/09/most-viewed-machine-learning-talks-videolectures.html

  • Top KDnuggets tweets, Aug 29-31: Data Analytics vs Predictive Modeling vs …; 100 top machine learning talks

    ...ost Popular #MachineLearning talks at videolectures dot net t.co/4WyzP4wfPv Most viewed: 100 Most Popular #MachineLearning talks at videolectures dot net t.co/4WyzP4wfPv Most Clicked: Data Analytics vs Predictive Modeling vs Data Mining vs Big Data ... Statistics dot com defines the terms...

    https://www.kdnuggets.com/2014/09/top-tweets-aug29-31.html

  • Skytree 2013 Big Data Analytics Report

    ...) responded favorably to the immediate value and future impact of Machine Learning to their business needs. To download the full report, please visit Skytree at www.skytree.net/2013-big-data-report For more information, please visit www.skytree.net...

    https://www.kdnuggets.com/2013/02/skytree-2013-big-data-analytics-report.html

  • SAS BKS Courses: Learn how to use data mining effectively

    …se Miner™ presents highly pragmatic and practical methods to help analysts deal with the magnitude of data present in today’s complex problems. Net Lift Models: Optimizing the Impact of Your Marketing Efforts demonstrates how to build Net Lift Models that optimize the incremental impact of…

    https://www.kdnuggets.com/2013/08/sas-bks-courses-learn-how-to-use-data-mining-effectively.html

  • Libraries and Development Kits for Data Mining

    ...command-line tools for Linux AMD64, developed with C++. dlib C++ library, provides readily usable SVM classification, Kernel based regression, Neural Networks, and Bayesian Network Inference algorithms. Java Data Mining Package (JDMP), an open source Java library for data analysis and machine...

    https://www.kdnuggets.com/software/libraries.html

  • KDnuggets™ News 13:n18, Jul 31

    ...w with Jon Kleinberg, revisited - Jul 22, 2013. Exclusive: Jon Kleinberg on his first interesting program, explaining landmark HITS algorithm, social network analysis and small-world networks, Rebel King, key insights from KDD Best Papers, Facebook and other social networking sites, and advice to...

    https://www.kdnuggets.com/2013/n18.html

  • KDnuggets™ News 13:n26, Oct 30

    ...w, aims for a direct experience of your data, with no deep hidden menus, making all functions directly accessible, and results directly visible. BabelNet multilingual encyclopedic dictionary and ontology - Oct 16, 2013. BabelNet is a multilingual "encyclopedic dictionary" and a multilingual...

    https://www.kdnuggets.com/2013/n26.html

  • Web Mining, Web Analytics Solutions

    ...thout the privacy issues. net.Genesis, providing net.Analysis for ad analysis and CartSmarts "visitor-centric" package for segmented analysis of Internet browser and buyers. NETMINING Reporter, an enterprise-level tool for analysis of e-commerce sites. Redwood, an open source ASP based web log...

    https://www.kdnuggets.com/solutions/web-mining.html

  • Blogs on AI, Analytics, Data Science, Machine Learning

    ...gnus Notitia, by Tevfik Kosar on Big data and beyond, data intensive scientific thought. MDMgeek Blog by Prashant Chandramohan, on data management. MineThatData Blog by Kevin Hillstrom, views on Multichannel Marketing and Database Marketing. Net-Savvy Executive, Nathan Gilliatt blog on Social Media...

    https://www.kdnuggets.com/websites/blogs.html

Refine your search here:

Sign Up

By subscribing you accept KDnuggets Privacy Policy