Best of Data Science — October 2022
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KDnuggets·4y
15 Free Machine Learning and Deep Learning Books
If you’re looking to have a career in machine learning or a data scientist, below is a list of FREE e-books to help you achieve this. The list includes an Introduction to Machine Learning Interpretability by Patrick Hall and Navdeep Gill. If you have an interest in Natural Language Processing and you are proficient in Python - this book is for you.
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KDnuggets·4y
7 Free Platforms for Building a Strong Data Science Portfolio
The free platform that we are going to discuss in this blog will help you get offers from recruiters and open a new world of professional opportunities. With time, you will learn the importance of all seven platforms, including GitHub, Kaggle, LinkedIn, Medium, DagsHub, Deepnote, and DataCamp. You need to add your bio and profile links and let your projects speak for yourself.
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KDnuggets·4y
Graphs: The natural way to understand data
Graph Algorithms for Data Science is a hands-on guide to working with graph-based data in applications like machine learning, fraud detection, and business data analysis. Graphs reveal the relationships in your data. Tracking these connections reveals new insights and influences and lets you analyze each data point as part of a larger whole.
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Analytics Vidhya·4y
Top Ten YouTube Channels On Data Science
Joma Tech is the right choice if you are currently on your data science journey. We bring you the top ten highly engaging YouTube Channels that provide free educational material. Here are the top 10 Data Science YouTube channels from thousands of YouTubers based on their content subscribers, views in data science. There are plenty of other options available. Leave a reply your email address will not be published.
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KDnuggets·4y
A Data Science Portfolio That Will Land You The Job in 2022
You do not have a Master's degree in data science and have no prior experience in the field. You have even created data science projects and included them in your portfolio hoping that they will get you a job. This makes it seem like you lack experience and can do more harm than good to your portfolio. Take one or You are not Playing to your Strengths.