Until now, you have studied to become a general data scientist. You know a little bit about everything but you are not a

Towards Data Science, Analytics Vidhya, and Towards AI are all valid Medium publications. Most of the articles are tutorials with hands-on examples! So you have a draft of the code already done!

As the last point of this list, I would suggest starting a personal project on something you like. Take your time in this project, don’t set any deadline. Enjoy every part of this project by testing every new approach!

You can follow and interact with many expert data scientists or machine learning superstars on Twitter or on LinkedIn (just look for them!). On LinkedIn, even if you don’t want to change the job, you can follow the job postings of machine learning companies: from the requirements, you can understand the trend of technologies used in production environments! Moreover, YouTube channels could also be interesting to keep pace with the trends! I report here some channels:

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employees contributed to this internal sharing of salary information, there are other pools of salary data available online. The largest is Levels.fyi, which has nearly 4,000 entries from Microsoft employees, which date back to 2017.

Generously season the lamb or chuck with salt and pepper. Dot the tomatoes evenly with dollops of ground lamb or chuck, sprinkle again with salt and pepper. Transfer the pan to the oven and bake, undisturbed, until the mixture sizzles, and browns in spots, 10 to 15 minutes.

Google Scholar offers the possibility to be notified when a new paper from a particular researcher is published. dblp and arXiv are other sources where to search for new papers. They all are a good way to continue your specialization or to find the solution to a particular problem! If you need a program to organize the papers you read, use Mendeley which has a recommender system that suggests relative papers based on your interests!

As the last point of this guide to become a great data scientist, I would like to point out the difference between the concepts and the tools. The concepts remain after you have learned them but the tools could change in the future. How a neural network works is a concept but its implementation can be done in Tensorflow, PyTorch, or any other framework. A data scientist should be open to innovation. If a new language is more suitable for your project, learn it, and use it! Don’t be anchored to your tools! Try new stuff!

If you live near a University, maybe there is also a research department dedicated to data science! Usually, a research center organizes seminars and conferences. Ask to attend these events! It is a good way to remain updated on trending research topics and state-of-the-art solutions!

Heat the oven to 425°F. Grease a large ovenproof skillet with 2 tablespoons oil. Add the eggplant, sprinkle with salt and pepper, and toss to coat. Scatter the onion and garlic over the eggplant, followed by the tomatoes.

In many data science projects the time available is short but the amount of things to do is huge. In this situation, data scientists tend to suppress some approaches or ignore possible improvements. The sense of creating something sub-optimal could be frustrating!

Find out if there is a local community of data scientists and join them! Participate in the meetup and meet people working in different industries. Don’t underestimate the power of networking! Solutions applied successfully in other contexts could be adapted also to your problems!

As the last point of this list, I would suggest starting a personal project on something you like. Take your time in this project, don’t set any deadline. Enjoy every part of this project by testing every new approach!

In this part of the article, I am going to share some ways to keep on remaining updated with new concepts, state-of-the-art algorithms, and the latest technologies. These suggestions could be applied also while you are learning the first part of the article!

There are countless versions of this lasagna-like Greek eggplant dish, but I’m not crazy about the kind with the custard on top. In Dinner For Everyone, I have recipes for mushroom and sweet potato moussaka, one with stewed lamb, and this one, below. Meat-eaters will be glad they decided to make it: All of the flavors and ingredients of the classic are captured without needing to cook and assemble a bunch of separate components. Read on for this weekend’s one-dish meal.

Until here, we have seen a learning path to become a great data scientist. The list is far from complete and it is based on my personal experience. If you have any suggestions, please drop me a comment! Of course, the order of this list is only recommended, feel free to adapt it to your needs!