Machine Learning Tutorial in Python helps you gain expertise in various types of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. Throu
This course is focused on the question: How do we do matrix computations with acceptable speed and acceptable accuracy? The course is taught in Python with Jupyter Notebooks,
Welcome to the new 2018 edition of fast.ai's second 7 week course, Cutting Edge Deep Learning For Coders, Part 2, where you'll learn the latest developments in deep learnin
Learn how to build state of the art models without needing graduate-level math—but also without dumbing anything down.This 7-week course is designed for anyone with at least
Learn the most important machine learning models, including how to create them yourself from scratch, as well as key skills in data preparation, model validation, and building
Creating a New Project - Queue and Crawled Files - Adding and Deleting Links - Speeding Up the Crawler - Parsing HTML - Finding Links - Spider Concept - Creating the Spider -
Introduction:Data Mining, Data Assimilation, Inverse problems and Prediction - Static vs. dynamic and deterministic vs. stochastic problems- formulation & classification;Mathe
Types of Applications using Java - MVC - JDBC Architecture - Steps to Connect with DataBase - Servlets Container - How to Write a Servlet - Hello World Example - Servlets Life
Introduction - Webservice Architecture - Java Webservice APIs - First Webservice Example Using Axis1 Implementation Using Eclipse - Webservice Client using Eclipse - Webservic
Basic questions, black & white box - Exercise to test physical objects - Failures that cause huge loss - what is tested - who tests, when and where to test - SDLC RFP Phase -
What is Business Intelligence? - Business Intelligence: Components - Business Intelligence: Existing Challenges - Business Intelligence: Existing Solutions - Mapping of Pentah
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