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] | The Startup | 57 | 2 | Why You Should Try Kotlin | https://medium.com/swlh/why-you-should-try-kotlin-fd11de0b924f | 6 |
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] | The Startup | 57 | 0 | Socket Programming in Python | https://medium.com/swlh/socket-programming-in-python-580efe2ca31d | 4 |
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] | The Startup | 50 | 0 | Investigating and Mitigating MTG: Arena Network Errors | https://medium.com/swlh/investigating-and-mitigating-mtg-arena-network-errors-23baa46802bb | 9 |
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] | The Startup | 91 | 0 | Random Walk: Will the Drunk Man Fall Off the Cliff? | https://medium.com/swlh/random-walk-a-comprehensive-illustration-aa13373830d1 | 10 |
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] | The Startup | 142 | 1 | Post-Pandemic Consumer Behaviour Trends to Watch | https://medium.com/swlh/post-pandemic-consumer-behaviour-trends-to-watch-29e51b34de40 | 6 |
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] | The Startup | 69 | 0 | Building Knowledge on the Customer Through Machine Learning | https://medium.com/swlh/building-knowledge-on-customer-through-machine-learning-2785b344749f | 10 |
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] | The Startup | 37 | 1 | Startups Will Save the World, but We Must Save Them First | https://medium.com/swlh/startups-will-save-the-world-but-we-must-save-them-first-5ab4a913d26e | 5 |
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] | The Startup | 261 | 1 | From Full-Time to Freelance: Why You Should Do It Too | https://medium.com/swlh/from-full-time-to-freelance-why-you-should-do-it-too-1c240c322d8b | 5 |
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] | The Startup | 96 | 0 | How to Predict If Someone Would Default on Their Credit Payment Using Deep Learning | https://medium.com/swlh/how-to-predict-if-someone-would-default-on-their-credit-payment-using-deep-learning-49ee032a8a31 | 4 |
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] | The Startup | 111 | 0 | Data Visualization With Python: Matplotlib | https://medium.com/swlh/data-visualization-with-python-matplotlib-16880d0d3a44 | 7 |
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] | The Startup | 163 | 0 | Using NLP to Visualize Ulysses, Part Two | https://medium.com/swlh/using-nlp-to-visualize-ulysses-part-two-8ead745f320c | 8 |
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] | The Startup | 100 | 0 | How to Install .Net Core Runtime in Service Fabric Using Terraform | https://medium.com/swlh/how-to-install-net-core-runtime-in-service-fabric-using-terraform-dcca95dedb74 | 4 |
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] | The Startup | 125 | 0 | React: What Are Hooks and Why Should You Use Them? | https://medium.com/swlh/react-what-are-hooks-and-why-should-you-use-them-bf1e79788305 | 4 |
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] | The Startup | 50 | 0 | Defining JPA/Hibernate Entities in Kotlin | https://medium.com/swlh/defining-jpa-hibernate-entities-in-kotlin-1ff8ee470805 | 3 |
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] | The Startup | 102 | 0 | Understanding Streams By Implementing Your Own Pt 2 | https://medium.com/swlh/understanding-streams-by-implementing-your-own-pt-2-a990a26523ad | 7 |
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] | The Startup | 58 | 0 | Building a Personal Data Science or Analytics Brand Online | https://medium.com/swlh/building-a-personal-data-science-analytics-brand-online-6c664e2dba9c | 6 |
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] | The Startup | 2 | 0 | Discovering a few Pytorch Tensor Functions | https://medium.com/swlh/discovering-a-few-pytorch-tensor-functions-88224c97249 | 2 |
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] | The Startup | 96 | 0 | How to Make the Most of Your Negative Reviews | https://medium.com/swlh/negative-reviews-c6ce0962f144 | 5 |
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] | Towards Data Science | 188 | 3 | Detecting Face Features with Python | https://towardsdatascience.com/detecting-face-features-with-python-30385aee4a8e | 8 |
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] | Towards Data Science | 293 | 3 | 5 Python Code Smells You Should Be Wary Of | https://towardsdatascience.com/5-python-code-smells-you-should-be-wary-of-c48cc0eb9d8b | 5 |
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] | Towards Data Science | 118 | 2 | What is a Full Stack Data Scientist? | https://towardsdatascience.com/full-stack-data-scientist-a-jack-of-all-trades-6490e007298 | 4 |
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] | Towards Data Science | 214 | 2 | NGBoost algorithm: solving probabilistic prediction problems | https://towardsdatascience.com/ngboost-algorithm-solving-probabilistic-prediction-problems-fdbe1858ca61 | 6 |
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] | Towards Data Science | 36 | 3 | Machine Learning Basics: Polynomial Regression | https://towardsdatascience.com/machine-learning-basics-polynomial-regression-3f9dd30223d1 | 5 |
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] | Towards Data Science | 26 | 0 | Interesting AI/ML Articles You Should Read This Week (July 4) | https://towardsdatascience.com/interesting-ai-ml-articles-you-should-read-this-week-july-4-cad0d162e108 | 7 |
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] | Towards Data Science | 21 | 1 | How Floating Point Numbers Work | https://towardsdatascience.com/how-floating-point-numbers-work-1429907b6d1d | 13 |
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] | Towards Data Science | 160 | 1 | The Multi-Channel Neural Network | https://towardsdatascience.com/the-multi-channel-neural-network-26551bdfab6c | 7 |
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] | Towards Data Science | 38 | 0 | Monocular Dynamic Object SLAM in Autonomous Driving | https://towardsdatascience.com/monocular-dynamic-object-slam-in-autonomous-driving-f12249052bf1 | 14 |
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] | Towards Data Science | 66 | 2 | How to parse JSON data with Python Pandas? | https://towardsdatascience.com/how-to-parse-json-data-with-python-pandas-f84fbd0b1025 | 4 |
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] | Towards Data Science | 8 | 0 | Raspberry Pi: Dummy Tutorial on hosting a Jupyter Notebook that you can access anywhere | https://towardsdatascience.com/raspberry-pi-tutorial-on-hosting-a-jupyter-notebook-that-you-can-access-anywhere-32191f882b1f | 7 |
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] | Towards Data Science | 36 | 0 | Creating smart ETL data pipelines in python for financial and economic data | https://towardsdatascience.com/creating-smart-etl-data-pipelines-in-python-for-financial-and-economic-data-ad852e8daca7 | 5 |
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] | Towards Data Science | 34 | 0 | A taste of ACL2020: 6 new Datasets & Benchmarks | https://towardsdatascience.com/a-taste-of-acl2020-6-new-datasets-benchmarks-4f5584f3f0ba | 7 |
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] | Towards Data Science | 2 | 0 | How to implement Prioritized Experience Replay for a Deep Q-Network | https://towardsdatascience.com/how-to-implement-prioritized-experience-replay-for-a-deep-q-network-a710beecd77b | 15 |
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] | Towards Data Science | 29 | 0 | XRL: eXplainable Reinforcement Learning | https://towardsdatascience.com/xrl-explainable-reinforcement-learning-4cd065cdec9a | 17 |
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] | Towards Data Science | 34 | 0 | Witnessing the Progression in Semantic Segmentation: DeepLab Series from V1 to V3+ | https://towardsdatascience.com/witnessing-the-progression-in-semantic-segmentation-deeplab-series-from-v1-to-v3-4f1dd0899e6e | 15 |
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] | Towards Data Science | 161 | 2 | A layman’s guide to plot with python and matplotlib | https://towardsdatascience.com/a-laymans-guide-to-plot-with-python-and-matplotlib-8462054f2059 | 9 |
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] | Towards Data Science | 11 | 0 | Linear Regression Algorithm in Python | https://towardsdatascience.com/basic-linear-regression-algorithm-in-python-for-beginners-c519a808b5f8 | 5 |
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] | Towards Data Science | 29 | 0 | Web Scraping NBA 2k Data | https://towardsdatascience.com/web-scraping-nba-2k-data-d7fdd4c8898c | 5 |
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] | Towards Data Science | 14 | 0 | Quantum parallelism — where quantum computers get their mojo from | https://towardsdatascience.com/quantum-parallelism-where-quantum-computers-get-their-mojo-from-66c93bd09855 | 6 |
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] | Towards Data Science | 15 | 0 | Neighbourhood Segmentation and Clustering using Foursquare API | https://towardsdatascience.com/neighbourhood-segmentation-and-clustering-using-foursquare-api-c43c113e89fb | 10 |
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] | Towards Data Science | 3 | 0 | Slicing and Indexing with Pandas | https://towardsdatascience.com/slicing-and-indexing-with-pandas-2bff05ec361e | 7 |
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] | Towards Data Science | 18 | 0 | Evaluate Classification Model Performance with Cumulative Gains and Lift Curves | https://towardsdatascience.com/evaluate-model-performance-with-cumulative-gains-and-lift-curves-1f3f8f79da01 | 9 |
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] | Towards Data Science | 24 | 0 | Free Reading Resources | Machine Learning | https://towardsdatascience.com/free-reading-resources-machine-learning-9e15e96a7a2b | 5 |
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] | Towards Data Science | 5 | 0 | Parallel Programming: Multiprocessing in Python | https://towardsdatascience.com/parallel-programming-multiprocessing-in-python-61c596b366e0 | 10 |
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] | Towards Data Science | 5 | 1 | Data Science and Machine Learning with Scala and Spark (Episode 02/03) | https://towardsdatascience.com/data-science-and-machine-learning-with-scala-and-spark-episode-02-03-be74f0590f20 | 5 |
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] | Towards Data Science | 10 | 0 | Addressing The John Smith Problem | https://towardsdatascience.com/addressingthejohnsmithproblem-1533da4f7db8 | 19 |
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] | Towards Data Science | 5 | 1 | The Future of GIT (2020) | https://towardsdatascience.com/the-future-of-git-2020-8e33b2f8746d | 4 |
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] | Towards Data Science | 6 | 0 | On Social Characteristics of Artificial Intelligence | https://towardsdatascience.com/on-social-characteristics-of-artificial-intelligence-5fb85ed2e69d | 8 |
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] | Towards Data Science | 102 | 1 | In-depth on testing: Who? | https://towardsdatascience.com/in-depth-on-testing-who-1c583efd6163 | 5 |
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] | Towards Data Science | 0 | 0 | The leap from a discrete to a continuous probability distribution | https://towardsdatascience.com/the-leap-from-a-discrete-to-a-continuous-probability-distribution-b105fde3cc1f | 13 |
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] | Towards Data Science | 4 | 1 | Traffic sign recognition using deep neural networks | https://towardsdatascience.com/traffic-sign-recognition-using-deep-neural-networks-6abdb51d8b70 | 5 |
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] | Towards Data Science | 355 | 0 | Statistics measures are the best starter | https://towardsdatascience.com/statistics-measures-are-the-best-starter-86241bb39576 | 6 |
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] | Towards Data Science | 5 | 0 | Artificial Intelligence: Events Around The World (Jul 4) | https://towardsdatascience.com/artificial-intelligence-events-around-the-world-jul-4-93ac52154dee | 5 |
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] | Towards Data Science | 5 | 0 | I designed an AI system that can predict ‘academic dishonesty’ with marginal accuracy | https://towardsdatascience.com/i-designed-an-ai-system-that-can-predict-academic-dishonesty-with-marginal-accuracy-daf165426aed | 9 |
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] | Towards Data Science | 0 | 0 | Building Recommendations for Articles with IBM | https://towardsdatascience.com/building-recommendations-for-articles-with-ibm-c034e24f75b2 | 5 |
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] | Towards Data Science | 0 | 0 | Paper Dissection: Cloze-driven Pretraining of Self-attention Networks; Facebook AI | https://towardsdatascience.com/paper-dissection-cloze-driven-pretraining-of-self-attention-networks-a91adb2d9b18 | 7 |
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] | UX Collective | 544 | 10 | Introducing the Flo menu: A scalable thumb-friendly navigation for mobile | https://uxdesign.cc/introducing-the-flo-menu-a-scalable-thumb-friendly-navigation-for-mobile-5065251c66b6 | 6 |
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] | UX Collective | 109 | 0 | Think like a man, UI typography, whimsical websites — and more UX this week | https://uxdesign.cc/to-all-the-people-who-told-me-to-think-like-a-man-9db5e7a77eda | 3 |
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] | UX Collective | 911 | 0 | Dancing with discomfort through design school (and a pandemic) | https://uxdesign.cc/im-not-ready-and-i-m-willing-5fef189c25d1 | 12 |
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] | UX Collective | 32 | 0 | Helping users achieve a better living and a healthier body — a UX/UI case study | https://uxdesign.cc/case-study-building-ui-ux-mobile-application-activ-fit-777eb728d96d | 11 |
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] | UX Collective | 109 | 0 | Are you ignoring these user personas in your product? | https://uxdesign.cc/are-you-also-ignoring-these-user-personas-21d059834c70 | 4 |
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] | UX Collective | 26 | 0 | A board game design process: Test early, test a lot | https://uxdesign.cc/a-board-game-design-process-test-early-test-a-lot-a1bcdb0680eb | 6 |
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] | UX Collective | 27 | 0 | Jakob Nielsen’s fourth usability heuristic for user interface design | https://uxdesign.cc/jakob-nielsens-fourth-usability-heuristic-for-user-interface-design-7a25960037d1 | 6 |
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] | UX Collective | 24 | 0 | Being a design officer in my city | https://uxdesign.cc/being-a-design-officer-in-my-city-dfef4944922 | 13 |