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If you have an entry-level understanding of machine learning and statistics, and you program in Java, Python, or Scala, you’ll find the book’s patterns useful for working on your own data applications.” Purchase / Learn More 42 .)Bayesian Methods for Hackers: Probabilistic Programming and ...
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I currently teach AP Calculus AB, AP Precalculus, and Statistics at Coweta High School in Coweta, OK. Over my thirteen-year teaching career, I have taught both math and science at the secondary level.I enjoy creating free printable puzzles and hands-on math activities for the secondary ...
Module 01– Introduction to Data Science using Python Module 02– Python basic constructs Module 03– Maths for DS-Statistics and Probability Module 04– OOPs in Python (Self-paced) Module 05– NumPy for mathematical computing Module 06– SciPy for scientific computing (Self-paced) ...
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book provides a wide range of role for data scientists and software engineers with experience in machine learning. You will start with the basics of deep learning and quickly move on to the details of important advanced architecture by implementing everything from the beginning. This book provides...
The same API that runs in Python notebook scales to the production cluster 2. Pinecone Pinecone vector database (Image source) Pinecone is a managed vector database platform that has been purpose-built to tackle the unique challenges associated with high-dimensional data. Equipped with cutting-edg...