Search results for Telecom Networks

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• 10 Simple Things to Try Before Neural Networks

  Below are 10 simple things you should remember to try first before throwing in the towel and jumping straight to neural networks.

  https://www.kdnuggets.com/2021/12/10-simple-things-try-neural-networks.html

• Optimization Algorithms in Neural Networks">Optimization Algorithms in Neural Networks

  This article presents an overview of some of the most used optimizers while training a neural network.

  https://www.kdnuggets.com/2020/12/optimization-algorithms-neural-networks.html

• Introduction to Convolutional Neural Networks

  The article focuses on explaining key components in CNN and its implementation using Keras python library.

  https://www.kdnuggets.com/2020/06/introduction-convolutional-neural-networks.html

• Random Forest® vs Neural Networks for Predicting Customer Churn

  Let us see how random forest competes with neural networks for solving a real world business problem.

  https://www.kdnuggets.com/2019/12/random-forest-vs-neural-networks-predicting-customer-churn.html

• Top 10 Data Science Use Cases in Telecom

  In this article, we attempt to present the most relevant and efficient data science use cases in the field of telecommunication.

  https://www.kdnuggets.com/2019/02/top-10-data-science-use-cases-telecom.html

• Understanding Deep Convolutional Neural Networks with a practical use-case in Tensorflow and Keras">Understanding Deep Convolutional Neural Networks with a practical use-case in Tensorflow and Keras

  We show how to build a deep neural network that classifies images to many categories with an accuracy of a 90%. This was a very hard problem before the rise of deep networks and especially Convolutional Neural Networks.

  https://www.kdnuggets.com/2017/11/understanding-deep-convolutional-neural-networks-tensorflow-keras.html

• Building a Convolutional Neural Network with PyTorch

  This blog post provides a tutorial on constructing a convolutional neural network for image classification in PyTorch, leveraging convolutional and pooling layers for feature extraction as well as fully-connected layers for prediction.

  https://www.kdnuggets.com/building-a-convolutional-neural-network-with-pytorch

• Using SHAP Values for Model Interpretability in Machine Learning

  Discover how SHAP can help you understand the impact of model features on predictions.

  https://www.kdnuggets.com/2023/08/shap-values-model-interpretability-machine-learning.html

• Synthetic Data Platforms: Unlocking the Power of Generative AI for Structured Data

  The article highlights various use cases of synthetic data, including generating confidential data, rebalancing imbalanced data, and imputing missing data points. It also provides information on popular synthetic data generation tools such as MOSTLY AI, SDV, and YData.

  https://www.kdnuggets.com/2023/07/synthetic-data-platforms-unlocking-power-generative-ai-structured-data.html

• A Complete Collection of Data Science Free Courses – Part 2

  The second part covers the list of Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Data Engineering, and MLOps.

  https://www.kdnuggets.com/2023/03/complete-collection-data-science-free-courses-part-2.html

• 5 Free Data Science Books You Must Read in 2023

  Get your hands on these gems to learn Python, data analytics, machine learning, and deep learning.

  https://www.kdnuggets.com/2023/01/5-free-data-science-books-must-read-2023.html

• Encoding Categorical Features with MultiLabelBinarizer

  Transform multi-label format into a binary matrix for multi-label classification.

  https://www.kdnuggets.com/2023/01/encoding-categorical-features-multilabelbinarizer.html

• 7 Super Cheat Sheets You Need To Ace Machine Learning Interview

  Revise the concepts of machine learning algorithms, frameworks, and methodologies to ace the technical interview round.

  https://www.kdnuggets.com/2022/12/7-super-cheat-sheets-need-ace-machine-learning-interview.html

• 3 Free Machine Learning Courses for Beginners

  Begin your machine learning career with free courses by Georgia Tech, Stanford, and Fast AI.

  https://www.kdnuggets.com/2022/12/3-free-machine-learning-courses-beginners.html

• Ensemble Learning with Examples

  Learn various algorithms to improve the robustness and performance of machine learning applications. Furthermore, it will help you build a more generalized and stable model.

  https://www.kdnuggets.com/2022/10/ensemble-learning-examples.html

• 10 Cheat Sheets You Need To Ace Data Science Interview

  The only cheat you need for a job interview and data professional life. It includes SQL, web scraping, statistics, data wrangling and visualization, business intelligence, machine learning, deep learning, NLP, and super cheat sheets.

  https://www.kdnuggets.com/2022/10/10-cheat-sheets-need-ace-data-science-interview.html

• 11 Questions About Data Engineers: What’s the profession about, and where’s it heading?

  I hope my answers will be useful to novice data engineers and anyone interested in data engineering.

  https://www.kdnuggets.com/2022/10/11-questions-data-engineers-profession-heading.html

• Become an AI Artist Using Phraser and Stable Diffusion

  Generate the prompt using Phraser and create realistic art using the Diffusion model.

  https://www.kdnuggets.com/2022/09/become-ai-artist-phraser-stable-diffusion.html

• 7 Machine Learning Portfolio Projects to Boost the Resume

  Work on machine learning and deep learning portfolio projects to learn new skills and improve your chance of getting hired.

  https://www.kdnuggets.com/2022/09/7-machine-learning-portfolio-projects-boost-resume.html

• The Complete Collection of Data Science Projects – Part 2

  The second part covers the list of Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Data Engineering, and MLOps.

  https://www.kdnuggets.com/2022/08/complete-collection-data-science-projects-part-2.html

• The Complete Collection of Data Science Books – Part 2

  Read the best books on Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, MLOps, Robotics, IoT, AI Products Management, and Data Science for Executives.

  https://www.kdnuggets.com/2022/05/complete-collection-data-science-books-part-2.html

• A Brief Introduction to Papers With Code

  One-stop shop to learn about state-of-the-art research papers with access to open-source resources including machine learning models, datasets, methods, evaluation tables, and code.

  https://www.kdnuggets.com/2022/04/brief-introduction-papers-code.html

• The Complete Collection Of Data Repositories – Part 2

  Check out the collection of the best data repositories on healthcare, natural language, neuroscience, physics, social network, sports, time series, transportation, miscellaneous, and super data repositories.

  https://www.kdnuggets.com/2022/04/complete-collection-data-repositories-part-2.html

• How to Generate Synthetic Tabular Dataset

  Check out this article on using CTGANs to create synthetic datasets for reducing privacy risks, training and testing machine learning models, and developing data-centric AI products.

  https://www.kdnuggets.com/2022/03/generate-tabular-synthetic-dataset.html

• The Complete Collection of Data Science Cheat Sheets – Part 2

  A collection of cheat sheets that will help you prepare for a technical interview on Data Structures & Algorithms, Machine learning, Deep Learning, Natural Language Processing, Data Engineering, Web Frameworks.

  https://www.kdnuggets.com/2022/02/complete-collection-data-science-cheat-sheets-part-2.html

• Top 5 Free Machine Learning Courses

  Give a boost to your career and learn job-ready machine learning skills by taking the best free online courses.

  https://www.kdnuggets.com/2022/02/top-5-free-machine-learning-courses.html

• Learn Machine Learning 4X Faster by Participating in Competitions

  Participating in competitions has taught me everything about machine learning and how It can help you learn multiple domains faster than online courses.

  https://www.kdnuggets.com/2022/01/learn-machine-learning-4x-faster-participating-competitions.html

• The Best Learning Resources for Data Science in 2022

  Unclutter your space and learn about the best books, free tutorials, courses, platforms, and certifications to start your data science journey.

  https://www.kdnuggets.com/2022/01/best-learning-resources-data-science-2022.html

• KDnuggets: Personal History and Nuggets of Experience

  After 28+ years of publishing and editing KDnuggets, I am retiring and transitioning KDnuggets to Matthew Mayo, who will become the new editor-in-chief. I want to share with you my story of KDnuggets and highlight some of the useful nuggets of experience I learned along this amazing journey.

  https://www.kdnuggets.com/2021/11/kdnuggets-history.html

• Want to Join a Bank? Everything Data Scientists Need to Know About Working in Fintech

  There is ample opportunity for data scientists in the financial services sector. The career experience can be very different, however, from similar roles at pure technology organizations. So, it's best to first consider if this industry is right for your interests, preferences for how you work, and long-term goals.

  https://www.kdnuggets.com/2021/10/bank-data-scientists-working-fintech.html

• Major changes: Where Analytics, Data Science, Machine Learning were applied in 2020/21

  Our latest poll shows major change in where AI, Data Science, Machine Learning are being applied, with decline in interest in traditional fields like CRM/Consumer Analytics, and growth in applications to Computer Vision, COVID, Agriculture, and Education.

  https://www.kdnuggets.com/2021/06/poll-where-analytics-data-science-ml-applied.html

• Awesome list of datasets in 100+ categories

  With an estimated 44 zettabytes of data in existence in our digital world today and approximately 2.5 quintillion bytes of new data generated daily, there is a lot of data out there you could tap into for your data science projects. It's pretty hard to curate through such a massive universe of data, but this collection is a great start. Here, you can find data from cancer genomes to UFO reports, as well as years of air quality data to 200,000 jokes. Dive into this ocean of data to explore as you learn how to apply data science techniques or leverage your expertise to discover something new.

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

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

  The list of Top 10 lists that Data Scientists -- from enthusiasts to those who want to jump start a career -- must know to smoothly navigate a path through this field.

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

• Upcoming Webinars and Online Events in AI, Data Science, Machine Learning: June

  Here are some interesting upcoming webinar, online events and virtual conferences in in AI, Data Science, and Machine Learning.

  https://www.kdnuggets.com/2020/06/upcoming-webinars-online-events-june.html

• Customer Churn Prediction: A Global Performance Study

  This article details an automated machine-learned approach to predict customer churn and its results across selected communication service providers around the globe.

  https://www.kdnuggets.com/2020/05/customer-churn-prediction-global-performance-study.html

• Brain Tumor Detection using Mask R-CNN

  Mask R-CNN has been the new state of the art in terms of instance segmentation. Here I want to share some simple understanding of it to give you a first look and then we can move ahead and build our model.

  https://www.kdnuggets.com/2020/03/brain-tumor-detection-mask-r-cnn.html

• Build an Artificial Neural Network From Scratch: Part 2

  The second article in this series focuses on building an Artificial Neural Network using the Numpy Python library.

  https://www.kdnuggets.com/2020/03/build-artificial-neural-network-scratch-part-2.html

• Generate Realistic Human Face using GAN

  This article contain a brief intro to Generative Adversarial Network(GAN) and how to build a Human Face Generator.

  https://www.kdnuggets.com/2020/03/generate-realistic-human-face-using-gan.html

• Recreating Fingerprints using Convolutional Autoencoders

  The article gets you started working with fingerprints using Deep Learning.

  https://www.kdnuggets.com/2020/03/recreating-fingerprints-using-convolutional-autoencoders.html

• Audio Data Analysis Using Deep Learning with Python (Part 2)

  This is a followup to the first article in this series. Once you are comfortable with the concepts explained in that article, you can come back and continue with this.

  https://www.kdnuggets.com/2020/02/audio-data-analysis-deep-learning-python-part-2.html

• Audio Data Analysis Using Deep Learning with Python (Part 1)">Audio Data Analysis Using Deep Learning with Python (Part 1)

  A brief introduction to audio data processing and genre classification using Neural Networks and python.

  https://www.kdnuggets.com/2020/02/audio-data-analysis-deep-learning-python-part-1.html

• 7 AI Use Cases Transforming Live Sports Production and Distribution

  Here are 7 powerful AI led use cases both for linear television and for OTT apps that are transforming the live sports production landscape.

  https://www.kdnuggets.com/2020/01/7-ai-use-cases-transforming-live-sports-production-distribution.html

• Build an Artificial Neural Network From Scratch: Part 1

  This article focused on building an Artificial Neural Network using the Numpy Python library.

  https://www.kdnuggets.com/2019/11/build-artificial-neural-network-scratch-part-1.html

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

  This thorough review focuses on the impact of AI, 5G, and edge computing on the healthcare sector in the 2020s as well as a look at quantum computing's potential impact on AI, healthcare, and financial services.

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

• Applying Data Science to Cybersecurity Network Attacks & Events

  Check out this detailed tutorial on applying data science to the cybersecurity domain, written by an individual with backgrounds in both fields.

  https://www.kdnuggets.com/2019/09/applying-data-science-cybersecurity-network-attacks-events.html

• The 5 Graph Algorithms That Data Scientists Should Know">The 5 Graph Algorithms That Data Scientists Should Know

  In this post, I am going to be talking about some of the most important graph algorithms you should know and how to implement them using Python.

  https://www.kdnuggets.com/2019/09/5-graph-algorithms-data-scientists-know.html

• Knowing Your Neighbours: Machine Learning on Graphs">Knowing Your Neighbours: Machine Learning on Graphs

  Graph Machine Learning uses the network structure of the underlying data to improve predictive outcomes. Learn how to use this modern machine learning method to solve challenges with connected data.

  https://www.kdnuggets.com/2019/08/neighbours-machine-learning-graphs.html

• Big Data for Insurance

  The insurance industry has always been quite conservative; however, the adoption of new technologies is not just a modern trend but a necessity to maintain the competitive pace. In the modern digital era, Big Data technologies help to process vast amounts of information, increase workflow efficiency, and reduce operational costs. Learn more about the benefits of Big Data for insurance from our material.

  https://www.kdnuggets.com/2019/07/big-data-insurance.html

• Customer Churn Prediction Using Machine Learning: Main Approaches and Models

  We reach out to experts from HubSpot and ScienceSoft to discuss how SaaS companies handle the problem of customer churn prediction using Machine Learning.

  https://www.kdnuggets.com/2019/05/churn-prediction-machine-learning.html

• 2019 Best Masters in Data Science and Analytics – Online

  We provide an updated comprehensive and objective survey of online Masters in Analytics and Data Science, including rankings, tuition, and duration of the education program.

  https://www.kdnuggets.com/2019/04/best-masters-data-science-analytics-online.html

• 3 Big Problems with Big Data and How to Solve Them

  We discuss some of the negatives of using big data, including false equivalences and bias, vulnerability to security breaches, protecting against unauthorized access and the lack of international standards for data privacy regulations.

  https://www.kdnuggets.com/2019/04/3-big-problems-big-data.html

• 2019 Best Masters in Data Science and Analytics – Europe Edition">2019 Best Masters in Data Science and Analytics – Europe Edition

  We provide an updated list of our comprehensive, unbiased survey of graduate programs in Data Science and Analytics from across Europe.

  https://www.kdnuggets.com/2019/04/best-masters-data-science-analytics-europe.html

• Top 8 Data Science Use Cases in Gaming

  The understanding of the data value for optimization and improvement of gaming makes specialists search for new ways to apply data science and its benefits in the gaming business. Therefore, various specific data science use cases appear. Here is our list of the most efficient and widely applied data science use cases in gaming.

  https://www.kdnuggets.com/2019/04/top-8-data-science-use-cases-gaming.html

• KDnuggets Site Map

  About KDnuggets Awards and Honors for KDnuggets Companies, offering Bioinformatics products and solutions Data Science and Analytics products Consulting and Training Data Warehousing and OLAP Read more »

  https://www.kdnuggets.com/about/site-map.html

• Power Laws in Deep Learning 2: Universality

  It is amazing that Deep Neural Networks display this Universality in their weight matrices, and this suggests some deeper reason for Why Deep Learning Works.

  https://www.kdnuggets.com/2018/09/power-laws-deep-learning-2-universality.html

• Power Laws in Deep Learning

  In pretrained, production quality DNNs,  the weight matrices for the Fully Connected (FC ) layers display Fat Tailed Power Law behavior.

  https://www.kdnuggets.com/2018/09/power-laws-deep-learning.html

• Big Data a $4.7 Billion opportunity in the healthcare and pharmaceutical industry

  This post contains some of the key findings from the SNS Telecom & IT's latest report, which indicates that Big Data investments in the healthcare and pharmaceutical industry are expected to reach nearly $4.7 Billion by the end of 2018.

  https://www.kdnuggets.com/2018/07/snstelecom-big-data-healthcare-pharm.html

• Best Online Masters in Data Science and Analytics – a comprehensive, unbiased survey">Best Online Masters in Data Science and Analytics – a comprehensive, unbiased survey

  The first comprehensive and objective survey of online Masters in Analytics / Data Science, including rankings, tuition, and duration of the education program.

  https://www.kdnuggets.com/2017/11/best-online-masters-analytics-data-science.html

• E-learning courses on Advanced Analytics, Credit Risk Modeling, and Fraud Analytics

  These online courses, developed by Prof. Bart Baesens and SAS, include videos, case studies, quizzes, and focus on focusses on the concepts and modeling methodologies and not on specific software.

  https://www.kdnuggets.com/2017/04/sas-elearning-advanced-analytics-credit-risk-modeling-fraud.html

• New e-learning course: Fraud Analytics using Descriptive, Predictive and Social Network Analytics

  This online course teaches how to find fraud patterns from historical data using descriptive analytics, and social network learning.

  https://www.kdnuggets.com/2017/01/sas-elearning-course-fraud-analytics-social-network-analytics.html

• Data Science for Internet of Things (IoT): Ten Differences From Traditional Data Science">Data Science for Internet of Things (IoT): Ten Differences From Traditional Data Science

  The connected devices (The Internet of Things) generate more than 2.5 quintillion bytes of data daily. All this data will significantly impact business processes and the Data Science for IoT will take increasingly central role. Here we outline 10 main differences between Data Science for IoT and traditional Data Science.

  https://www.kdnuggets.com/2016/09/data-science-iot-10-differences.html

• Machine Learning for Artists – Video lectures and notes

  Art has always been deep for those who appreciate it... but now, more than ever, deep learning is making a real impact on the art world. Check out this graduate course, and its freely-available resources, focusing on this very topic.

  https://www.kdnuggets.com/2016/04/machine-learning-artists-video-lectures-notes.html

• Deep Learning for Internet of Things Using H2O

  H2O is feature-rich open source machine learning platform known for its R and Spark integration and it’s ease of use. This is an overview of using H2O deep learning for data science with the Internet of Things.

  https://www.kdnuggets.com/2016/04/deep-learning-iot-h2o.html

• KDnuggets™ News 14:n12, May 21

  Features (11) | Software (4) | Opinions (9) | News (7) | Webcasts (1) | Courses (3) | Meetings and Reports (10) | Jobs (14) Read more »

  https://www.kdnuggets.com/2014/n12.html

• 3 Stages of Big Data

  The confusion around Big Data is partly the result of different aspects of Big Data which have very different meaning and produce very different results. We propose a 3 stage classification.

  https://www.kdnuggets.com/2013/12/3-stages-big-data.html

• Fraud Detection Solutions

  AccessPay fraud detection software alerts businesses to fraudulent activity before payments are sent. Alaric Systems "Fractals" card fraud detection and prevention systems using proprietary inference Read more »

  https://www.kdnuggets.com/solutions/fraud-detection.html

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

  All (109) | News, Software (30) | Courses, Events (28) | Jobs | Academic | Publications (32) Adjunct Faculty, develop and teach courses Data Mining, Read more »

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

• KDnuggets™ News 13:n17, July 17

  Features (10) | Software (2) | Webcasts (3) | Courses, Events (3) | Meetings (4) | Jobs (4) | Academic (4) | Competitions (1) | Publications Read more »

  https://www.kdnuggets.com/2013/n17.html

• Consulting Companies in AI, Analytics, Data Science, and Machine Learning

  A B C D E F G H I J K L M N O P Q R S T U V W XYZ 4i, Read more »

  https://www.kdnuggets.com/companies/consulting.html