Medium Articles
A collection of articles on ML, AI and data science
@kaggle.hsankesara_medium_articles
Articles
@kaggle.hsankesara_medium_articles.articles
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authorAuthor | clapsClaps | reading_timeReading Time | linkLink | titleTitle | textText |
|---|---|---|---|---|---|
| Justin Lee | 8.3K | 11 | https://medium.com/swlh/chatbots-were-the-next-big-thing-what-happened-5fc49dd6fa61?source=---------0---------------- | Chatbots were the next big thing: what happened? – The Startup – Medium | Oh, how the headlines blared: Chatbots were The Next Big Thing. Our hopes were sky high. Bright-eyed and bushy-tailed, the industry was ripe for a new era of innovation: it was time to start socializing with machines. And why wouldn’t they be? All the road signs pointed towards insane success. At th… |
| Conor Dewey | 1.4K | 7 | https://towardsdatascience.com/python-for-data-science-8-concepts-you-may-have-forgotten-i-did-825966908393?source=---------1---------------- | Python for Data Science: 8 Concepts You May Have Forgotten | If you’ve ever found yourself looking up the same question, concept, or syntax over and over again when programming, you’re not alone. I find myself doing this constantly. While it’s not unnatural to look things up on StackOverflow or other resources, it does slow you down a good bit and raise quest… |
| William Koehrsen | 2.8K | 11 | https://towardsdatascience.com/automated-feature-engineering-in-python-99baf11cc219?source=---------2---------------- | Automated Feature Engineering in Python – Towards Data Science | Machine learning is increasingly moving from hand-designed models to automatically optimized pipelines using tools such as H20, TPOT, and auto-sklearn. These libraries, along with methods such as random search, aim to simplify the model selection and tuning parts of machine learning by finding the b… |
| Gant Laborde | 1.3K | 7 | https://medium.freecodecamp.org/machine-learning-how-to-go-from-zero-to-hero-40e26f8aa6da?source=---------3---------------- | Machine Learning: how to go from Zero to Hero – freeCodeCamp | If your understanding of A.I. and Machine Learning is a big question mark, then this is the blog post for you. Here, I gradually increase your AwesomenessicityTM by gluing inspirational videos together with friendly text. Sit down and relax. These videos take time, and if they don’t inspire you to c… |
| Emmanuel Ameisen | 935 | 11 | https://blog.insightdatascience.com/reinforcement-learning-from-scratch-819b65f074d8?source=---------4---------------- | Reinforcement Learning from scratch – Insight Data | Want to learn about applied Artificial Intelligence from leading practitioners in Silicon Valley, New York, or Toronto? Learn more about the Insight Artificial Intelligence Fellows Program. Are you a company working in AI and would like to get involved in the Insight AI Fellows Program? Feel free to… |
| Irhum Shafkat | 2K | 15 | https://towardsdatascience.com/intuitively-understanding-convolutions-for-deep-learning-1f6f42faee1?source=---------5---------------- | Intuitively Understanding Convolutions for Deep Learning | The advent of powerful and versatile deep learning frameworks in recent years has made it possible to implement convolution layers into a deep learning model an extremely simple task, often achievable in a single line of code. However, understanding convolutions, especially for the first time can of… |
| Sam Drozdov | 2.3K | 6 | https://uxdesign.cc/an-intro-to-machine-learning-for-designers-5c74ba100257?source=---------6---------------- | An intro to Machine Learning for designers – UX Collective | There is an ongoing debate about whether or not designers should write code. Wherever you fall on this issue, most people would agree that designers should know about code. This helps designers understand constraints and empathize with developers. It also allows designers to think outside of the pix… |
| Conor Dewey | 252 | 10 | https://towardsdatascience.com/the-big-list-of-ds-ml-interview-resources-2db4f651bd63?source=---------7---------------- | The Big List of DS/ML Interview Resources – Towards Data Science | Data science interviews certainly aren’t easy. I know this first hand. I’ve participated in over 50 individual interviews and phone screens while applying for competitive internships over the last calendar year. Through this exciting and somewhat (at times, very) painful process, I’ve accumulated a … |
| Abhishek Parbhakar | 937 | 6 | https://towardsdatascience.com/must-know-information-theory-concepts-in-deep-learning-ai-e54a5da9769d?source=---------8---------------- | Must know Information Theory concepts in Deep Learning (AI) | Information theory is an important field that has made significant contribution to deep learning and AI, and yet is unknown to many. Information theory can be seen as a sophisticated amalgamation of basic building blocks of deep learning: calculus, probability and statistics. Some examples of concep… |
| Aman Dalmia | 2.3K | 17 | https://blog.usejournal.com/what-i-learned-from-interviewing-at-multiple-ai-companies-and-start-ups-a9620415e4cc?source=---------9---------------- | What I learned from interviewing at multiple AI companies and start-ups | Over the past 8 months, I’ve been interviewing at various companies like Google’s DeepMind, Wadhwani Institute of AI, Microsoft, Ola, Fractal Analytics, and a few others primarily for the roles — Data Scientist, Software Engineer & Research Engineer. In the process, not only did I get an opportunity… |
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