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Machine Learning Training Library

Machine learning is all around us and becoming ever more popular. But what is it? To answer that question, get stuck into the selection of content below that is designed to introduce you to the topic and start you on your journey through the world of machine learning.

Introduction to Machine Learning for Coders

Welcome to Introduction to Machine Learning for Coders! taught by Jeremy Howard (Kaggle's #1 competitor 2 years running, and founder of Enlitic). 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 data products.

The Complete Python Programming Course for Beginners

Everything You Need to Program in Python in One Course (Includes 3 Real-world Projects)

CS109 Data Science

Learning from data in order to gain useful predictions and insights. This course introduces methods for five key facets of an investigation: data wrangling, cleaning, and sampling to get a suitable data set; data management to be able to access big data quickly and reliably; exploratory data analysis to generate hypotheses and intuition; prediction based on statistical methods such as regression and classification; and communication of results through visualization, stories, and interpretable summaries.

Python For Beginners: Step-By-Step Hands-On Guide To Python

Whether you are looking to switch your careers and become a full-time programmer, OR you just want to try your hand at building some cool applications or are just seeking to round out your skill set _ learning to code in Python will be a pretty good way to go about it.

Convolutional Neural Networks for Visual Recognition

During the 10-week course, students will learn to implement and train their own neural networks and gain a detailed understanding of cutting-edge research in computer vision.

The R Manuals

The following manuals for R were created on Debian Linux and may differ from the manuals for Mac or Windows on platform-specific pages, but most parts will be identical for all platforms.

Computer Programming using Python

This website teaches computer programming. This skill is very useful: with programming you can automate computer tasks, make art and music, interpret and analyze survey results, build tools for other people, create custom websites, write games, examine genetic data, connect people with each other, and the list goes on and on.

Python Tutorial for Beginners | Data Flair Training

Welcome to the World of Python. Are you eager to know and learn Python _ The Most Powerful and Popular Programming Langauge? Then start with this Python Tutorial now.

Learn Data Analytics in Bash

If you go through these 7 articles, you will learn how to do basic data cleaning, data formatting and analytics via the command line. On the top of that you will have your own data server to practice _ we will use that not only here, but in my future SQL and Python tutorials too.

Python for Data Science _ Tutorial for Beginners #1 _ Python Basics

In my Python for Data Science articles I'll show you everything you have to know. I'll start from the very basics _ so if you have never touched code, don't worry, you are at the right place. I'll focus only on the data science related part of Python _ and I will skip all the unnecessary and impractical trifles.

Data Science at Home

Data Science at Home is a podcast about machine learning, artificial intelligence and algorithms. The show is hosted by Dr. Francesco Gadaleta on solo episodes and interviews with some of the most influential figures in the field

Data Skeptic

Your trusted podcast, centered on data science, machine learning, and artificial intelligence.

Modern Deep Learning in Python

This course continues where my first course, Deep Learning in Python, left off. You already know how to build an artificial neural network in Python, and you have a plug-and-play script that you can use for TensorFlow. Neural networks are one of the staples of machine learning, and they are always a top contender in Kaggle contests. If you want to improve your skills with neural networks and deep learning, this is the course for you.

Deep Learning Prerequisites: The Numpy Stack in Python

The Numpy, Scipy, Pandas, and Matplotlib stack: prep for deep learning, machine learning, and artificial intelligence

Google's Python Class

Welcome to Google's Python Class -- this is a free class for people with a little bit of programming experience who want to learn Python. The class includes written materials, lecture videos, and lots of code exercises to practice Python coding. These materials are used within Google to introduce Python to people who have just a little programming experience.

Machine Learning Crash Course | Google Developers

Googles self-study guide for aspiring machine learning practitioners Machine Learning Crash Course features a series of lessons with video lectures, real-world case studies, and hands-on practice exercises.

Become a Google Sheets Master

Learn 30 advanced formulas and techniques in 30 days, with these 30 bite-size tutorials. This course is intended for intermediate level users of Google Sheets, who want to become more comfortable with advanced formulas and unlock the full potential of their data.

Build Dashboards With Google Sheets

Learn how to create interactive dashboards in Google Sheets and take your career to the next level. You'll learn how to create business dashboards using google sheets to track important KPIs for your business.

Data Stories

A podcast on data visualization with Enrico Bertini and Moritz Stefaner

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