A Pocket Guide to Data Science

Previous post Next post            Tweet Tags: Advice, Beginners, Data Science, Tutorial A pocket guide overview of how to get started doing data science, with a focus on the practical, and with concrete steps to take to get moving right away. By Brandon Rohrer, Microsoft. In a previous post I advised data scientists in training to build stuff.…
Original Post: A Pocket Guide to Data Science

Must Know Tips for Deep Learning Neural Networks, Part 2

Previous post Next post            Tweet Tags: Convolutional Neural Networks, Deep Learning, Tips, Tutorial Deep learning is white hot research topic. Add some solid deep learning neural network tips and tricks from a PhD researcher. By Xiu-Shen Wei, Nanjing University. Editor’s note: Yesterday we posted the first 4 tips & ticks of this fascinating post. Be sure to…
Original Post: Must Know Tips for Deep Learning Neural Networks, Part 2

Implementing Your Own k-Nearest Neighbour Algorithm Using Python

Previous post Next post            Tweet Tags: Nearest Neighbor, Python, Python Tutorial, Tutorial A detailed explanation of one of the most used machine learning algorithms, k-Nearest Neighbors, and its implementation from scratch in Python. Enhance your algorithmic understanding with this hands-on coding exercise. By Natasha Latysheva.Editor’s note: Natasha is active in the Cambridge Coding Academy, which is holding…
Original Post: Implementing Your Own k-Nearest Neighbour Algorithm Using Python

Learning to Code Neural Networks

           Tweet Previous post Next post Tags: Backpropagation, Denny Britz, Neural Network, Python, Tutorial Learn how to code a neural network, by taking advantage of someone else’s experiences learning how to code a neural network. By Per Harald Borgen. This is the second post in a series of me trying to learn something new over a short period…
Original Post: Learning to Code Neural Networks

Scikit-learn and Python Stack Tutorials: Introduction, Implementing Classifiers

           Tweet Previous post Next post Tags: IPython, Matthew Mayo, Python, scikit-learn, Tutorial A small collection of introductory scikit-learn and Python stack tutorials for those with an existing understanding of machine learning looking to jump right into using a new set of tools. By Matthew Mayo.Are you a newcomer to machine learning or to scikit-learn, the de facto…
Original post: Scikit-learn and Python Stack Tutorials: Introduction, Implementing Classifiers
Source: KDnuggets

Top 10 Deep Learning Projects on Github

           Tweet Previous post Next post Tags: Caffe, Deep Learning, GitHub, Matthew Mayo, Open Source, Top 10, Tutorial The top 10 deep learning projects on Github include a number of libraries, frameworks, and education resources. Have a look at the tools others are using, and the resources they are learning from. By Matthew Mayo.Open source tools are increasingly…
Original post: Top 10 Deep Learning Projects on Github
Source: KDnuggets