I thinkTwitteris great to stay in touch and see what other people are up to, and to share news of course.Cross-validated&Quoraare good websites to ask specific questions and collect multiple opinions about a topic. There’s also amachine learning group on Google+that has a lot of members...
It is the popular computer science-themed blog of John Cook, a former math professor and programmer who has transitioned into consulting. He helps companies make better decisions by taking advantage of the data they have, combining it with expert opinion, creating mathematical models, overcoming ...
Deploying Machine Learning has never been so easy – Towards Data Science Quora - How do you take a machine learning model to production? Tutorial to deploy Machine Learning model in Production as API with Flask From Big Data to micro-services: how to serve Spark-trained models through AWS la...
Digital garage is Google’s online courses platform that offers free courses on a variety of subjects in Data, Tech, Business and Career Development domains. Digital Marketing is one such domain where Google provides free digital marketing training courses to help participants grow their business onli...
Explore Courses Why Handson? Handson School of Data Science:Your Gateway to a Lucrative Career Handson School of Data Science, consistently rated 4.9 stars on Google reviews and recognized as a most promising data science institute by various platforms like Silicon-India, Medium, and Quora, empow...
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FreeCourses : Free courses about programming Kathryn Hodge : Has good videos for beginners Kunal Kushwaha : An amazing guide to Git and GitHub for beginners mycodeschool : Data structures and algorithms tutorials Pluralsight : Learn Software Development, DevOps and Data Science through multiple short...
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Rosetta Stoneis designed to be your primary method for learning Spanish, but we find that where it shines is helping you acquire new vocabulary. Its courses are divided into units, which are meant to be used for 30 minutes a day for six weeks. ...
While shaping the idea of your data science project, you probably dreamed of writing variants of algorithms, estimating model performance on training data, and discussing prediction results with colleagues . . . But before you live ...