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] | The Startup | 79 | 0 | Sharing secrets with Lagrange polynomials | https://medium.com/swlh/sharing-secrets-with-lagrange-polynomials-cc0b32747269 | 3 |
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] | The Startup | 59 | 0 | <strong class="markup--strong markup--h3-strong">Is the Concept of Brand Loyalty Dying?</strong> | https://medium.com/swlh/is-the-concept-of-brand-loyalty-dying-c172aee287a6 | 4 |
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] | The Startup | 65 | 0 | How to Create A Bottom Drawer In ReactJS Using Ionic Framework Components and Gesture API | https://medium.com/swlh/how-to-create-a-bottom-drawer-in-reactjs-using-ionic-framework-components-and-gesture-api-cd67619de756 | 6 |
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] | The Startup | 114 | 0 | I Will Show My Love By Poking Your Lips In an MRI Machine. | https://medium.com/swlh/i-will-show-my-love-by-poking-your-lips-in-an-mri-machine-e7dc3e7d7682 | 3 |
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] | The Startup | 67 | 0 | Software liability: Still random, still likely to stay that way | https://medium.com/swlh/software-liability-still-random-still-likely-to-stay-that-way-57f6a9687ee7 | 7 |
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] | The Startup | 51 | 0 | But I Have Promises to Keep | https://medium.com/swlh/but-i-have-promises-to-keep-dad0bf5a3f7e | 4 |
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] | The Startup | 58 | 0 | Technical Difficulties | https://medium.com/swlh/technical-difficulties-a0a7be91584 | 7 |
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] | The Startup | 98 | 0 | How I Untied My Self-Worth from the Billable Hour | https://medium.com/swlh/how-to-untie-your-self-worth-from-the-billable-hour-fb1c8e6e87d1 | 7 |
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] | The Startup | 3 | 0 | Why Quarantine Might Make Workplaces More ‘Introverted’ | https://medium.com/swlh/why-quarantine-might-make-workplaces-more-introverted-bf71e6741c94 | 5 |
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] | Towards Data Science | 1,300 | 7 | Use Your Data Skills to Make Money Online | https://towardsdatascience.com/use-your-data-skills-to-make-money-online-6afc7a32d6ba | 5 |
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] | Towards Data Science | 107 | 2 | Machine Learning with Python: Classification (complete tutorial) | https://towardsdatascience.com/machine-learning-with-python-classification-complete-tutorial-d2c99dc524ec | 24 |
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] | Towards Data Science | 127 | 0 | Recommender Systems: The Most Valuable Application of Machine Learning (Part 1) | https://towardsdatascience.com/recommender-systems-the-most-valuable-application-of-machine-learning-part-1-f96ecbc4b7f5 | 14 |
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] | Towards Data Science | 177 | 1 | An Introduction to Knowledge Graphs | https://towardsdatascience.com/an-introduction-to-knowledge-graphs-841bbc0e796e | 14 |
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] | Towards Data Science | 72 | 3 | Cellular Automaton and Deep Learning | https://towardsdatascience.com/cellular-automaton-and-deep-learning-2bf7c57139b3 | 5 |
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] | Towards Data Science | 170 | 1 | NLP Classification in Python | https://towardsdatascience.com/nlp-classification-in-python-pycaret-approach-vs-the-traditional-approach-602d38d29f06 | 10 |
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] | Towards Data Science | 31 | 1 | Quality Control Charts with Python | https://towardsdatascience.com/quality-control-charts-guide-for-python-9bb1c859c051 | 5 |
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] | Towards Data Science | 41 | 0 | The Deep Learning Specialization | https://towardsdatascience.com/the-deep-learning-specialization-2503b9ee7ff6 | 8 |
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] | Towards Data Science | 91 | 0 | How to represent 3D Data? | https://towardsdatascience.com/how-to-represent-3d-data-66a0f6376afb | 14 |
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] | Towards Data Science | 134 | 1 | A Tour of Machine Learning Algorithms | https://towardsdatascience.com/a-tour-of-machine-learning-algorithms-466b8bf75c0a | 10 |
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] | Towards Data Science | 105 | 1 | Training Machine Learning Models on Amazon SageMaker | https://towardsdatascience.com/training-machine-learning-models-on-amazon-sagemaker-d95bd089db0d | 8 |
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] | Towards Data Science | 35 | 0 | An intuitive but comprehensive tutorial on *args and **kwargs to finally put your questions to rest | https://towardsdatascience.com/an-intuitive-but-comprehensive-tutorial-on-args-and-kwargs-to-finally-put-your-questions-to-rest-ad7713a42076 | 14 |
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] | Towards Data Science | 7 | 0 | Model Management in productive ML software | https://towardsdatascience.com/model-management-in-productive-ml-software-110d2d2cb456 | 11 |
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] | Towards Data Science | 2 | 0 | KMeans Hyper-parameters Explained with Examples | https://towardsdatascience.com/kmeans-hyper-parameters-explained-with-examples-c93505820cd3 | 8 |
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] | Towards Data Science | 327 | 0 | The New Grad Guide on Landing a Data Science Job | https://towardsdatascience.com/the-new-grad-guide-on-landing-a-data-science-job-97f798ced0ca | 9 |
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] | Towards Data Science | 102 | 1 | 5 Tips for MLflow Experiment Tracking | https://towardsdatascience.com/5-tips-for-mlflow-experiment-tracking-c70ae117b03f | 4 |
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] | Towards Data Science | 50 | 0 | Create A Synthetic Image Dataset — The “What”, The “Why” and The “How” | https://towardsdatascience.com/create-a-synthetic-image-dataset-the-what-the-why-and-the-how-f820e6b6f718 | 7 |
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] | Towards Data Science | 26 | 3 | Counsel Chat: Bootstrapping High-Quality Therapy Data | https://towardsdatascience.com/counsel-chat-bootstrapping-high-quality-therapy-data-971b419f33da | 10 |
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] | Towards Data Science | 9 | 0 | GAVRO — Managed Big Data Schema Evolution | https://towardsdatascience.com/gavro-managed-big-data-schema-evolution-8217431f278f | 10 |
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] | Towards Data Science | 102 | 1 | Monte Carlo Simulation with Dollar-Cost Averaging | https://towardsdatascience.com/monte-carlo-simulation-with-dollar-cost-averaging-653ae47ec7d5 | 6 |
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] | Towards Data Science | 267 | 0 | Training ML models directly from GitHub | https://towardsdatascience.com/training-ml-models-directly-from-github-ebf1c1120af5 | 3 |
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] | Towards Data Science | 26 | 1 | The shaky bridge from Data to Action | https://towardsdatascience.com/the-shaky-bridge-from-data-to-action-f494ab495bc4 | 25 |
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] | Towards Data Science | 9 | 2 | Address class imbalance easily with Pytorch Part 2 | https://towardsdatascience.com/address-class-imbalance-easily-with-pytorch-bb540497d2a6 | 6 |
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] | Towards Data Science | 32 | 0 | Too much data, too little time | https://towardsdatascience.com/too-much-data-too-little-time-1e7441ecdae1 | 6 |
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] | Towards Data Science | 13 | 0 | Building a Budget News-Based Algorithmic Trader? Well then You Need Hard-To-Find Data — Part 2 | https://towardsdatascience.com/building-a-budget-news-based-algorithmic-trader-well-then-you-need-hard-to-find-data-part-2-2ddc4a9be1d8 | 9 |
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] | Towards Data Science | 123 | 1 | Predicting NBA Win Percentage | https://towardsdatascience.com/predicting-nba-win-percentage-84148ae8d3e6 | 5 |
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] | Towards Data Science | 15 | 0 | My Python Code for Flexible Recommendations | https://towardsdatascience.com/my-python-code-for-flexible-recommendations-b4d838e9e0e0 | 7 |
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] | Towards Data Science | 9 | 0 | Breaking the Enigma Code in Python with MCMC (Marvel themed) | https://towardsdatascience.com/breaking-the-enigma-code-in-python-with-mcmc-marvel-themed-9ceb358dd8ae | 9 |
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] | Towards Data Science | 158 | 0 | The Power of Quality Assurance — Designing Robust QA Processes for SQL Data Analysis Pipelines | https://towardsdatascience.com/the-power-of-quality-assurance-designing-robust-qa-processes-for-sql-data-analysis-pipelines-2b85e9a3928a | 12 |
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] | Towards Data Science | 30 | 2 | High-School Math for Machines: Differentiable Programming | https://towardsdatascience.com/high-school-math-for-machines-differentiable-code-5f588140b148 | 21 |
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] | Towards Data Science | 1 | 0 | Orange Data Mining Tool and Association Rules | https://towardsdatascience.com/orange-data-mining-tool-and-association-rules-caa3c728613d | 4 |
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] | Towards Data Science | 1 | 0 | Finding Distant Pairs in Python with Pandas | https://towardsdatascience.com/finding-distant-pairs-in-python-with-pandas-fa02df50d14b | 6 |
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] | Towards Data Science | 4 | 0 | Can You Answer These 5 Questions About Lasso And Ridge Regression? | https://towardsdatascience.com/can-you-answer-these-5-questions-about-lasso-and-ridge-regression-1138536f4f80 | 3 |
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] | Towards Data Science | 5 | 1 | Is R Shiny Versatile Enough to Build a Video Game? | https://towardsdatascience.com/is-r-shiny-versatile-enough-to-build-a-video-game-5c93232ef4e2 | 7 |
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] | Towards Data Science | 15 | 0 | 5 Reasons Why I Became a Data Scientist | https://towardsdatascience.com/5-reasons-why-i-became-a-data-scientist-b36b367dd925 | 5 |
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] | Towards Data Science | 2 | 0 | Predicting Police Call Demand for Fun (and Prophet) | https://towardsdatascience.com/predicting-police-call-demand-for-fun-and-prophet-2e278828a1a1 | 5 |
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] | Towards Data Science | 101 | 1 | The Algorithm that gave my Program Artificial Intelligence to play Complex Board Games(Go) | https://towardsdatascience.com/the-algorithm-that-gave-my-program-artificial-intelligence-to-play-complex-board-games-go-b4d68e26d1d8 | 8 |
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] | Towards Data Science | 6 | 0 | Comparative Performance of Deep Learning Optimization Algorithms Using Numpy | https://towardsdatascience.com/comparative-performance-of-deep-learning-optimization-algorithms-using-numpy-24ce25c2f5e2 | 6 |
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] | Towards Data Science | 55 | 0 | Project Pendragon + Tonks: Multi-Task Feature Extraction for Farming Fate Grand Order | https://towardsdatascience.com/project-pendragon-tonks-multi-task-feature-extraction-for-farming-fate-grand-order-af077b7aafd2 | 13 |
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] | Towards Data Science | 43 | 0 | Here’s how my first Computer Vision based Internship was all like! | https://towardsdatascience.com/how-my-first-internship-was-all-like-364187922d44 | 5 |
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] | Towards Data Science | 9 | 0 | When your Docker Meets Pyspark to Do Sentiment Analysis of 10+ GB Customer Review Data-PART 1 | https://towardsdatascience.com/when-your-docker-meets-pyspark-to-do-sentiment-analysis-of-10-gb-customer-review-data-part-1-277633d39bba | 5 |
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] | Towards Data Science | 11 | 0 | Microsoft Malware Detections (R- Classification) | https://towardsdatascience.com/microsoft-malware-detections-r-classification-46bf5355f930 | 14 |
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] | Towards Data Science | 206 | 0 | What does a Data Scientist do? | https://towardsdatascience.com/what-does-data-scientist-do-81aeab252eec | 4 |
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] | Towards Data Science | 16 | 0 | Book Review: Other Minds (1/2) | https://towardsdatascience.com/book-review-other-minds-4176bd62edae | 8 |
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] | Better Humans | 417 | 0 | How to Shut Out Distractions in an Era of Constant Solicitation | https://medium.com/better-humans/how-to-shut-out-distractions-in-an-era-of-constant-solicitation-80be0432d162 | 15 |
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] | UX Collective | 3,200 | 9 | 10 Common Mistakes UI Designers Make | https://uxdesign.cc/10-common-mistakes-ui-designers-make-7c95bb5436b5 | 7 |
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] | UX Collective | 836 | 1 | 10 UX portfolio improvements you can make while you’re stuck at home | https://uxdesign.cc/10-ux-portfolio-improvements-you-can-make-while-youre-stuck-at-home-a443f2c07e97 | 7 |
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] | UX Collective | 629 | 1 | How to use desk research to kick-start your design process | https://uxdesign.cc/how-to-use-desk-research-to-kick-start-your-design-process-aab6e67fd7a4 | 11 |
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] | UX Collective | 949 | 0 | Jakob’s Law: how did Facebook upset its users? | https://uxdesign.cc/jakobs-law-how-did-facebook-upset-its-users-954cafb24095 | 6 |
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] | UX Collective | 143 | 1 | Mute or unmute? The biggest dilemma of the ‘work from home’ era | https://uxdesign.cc/mute-or-unmute-dilemma-during-the-work-from-home-era-94055f82cc74 | 5 |
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] | UX Collective | 63 | 0 | Emotional Design — why designers should focus on positive experiences | https://uxdesign.cc/emotional-design-why-designers-should-focus-on-positive-experiences-61e1210aa1a7 | 5 |
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] | UX Collective | 376 | 0 | People only read 20% of your content — but UX Writing can make them read more on your page | https://uxdesign.cc/people-only-read-20-of-your-content-but-ux-writing-can-make-them-read-more-on-your-page-cd483c284136 | 5 |