Get Started and Make Progress in Machine Learning

转自：http://machinelearningmastery.com/get-started-make-progress-machine-learning/#comment-270064

Why Get Started in Machine Learning

I believe machine learning is an important and fascinating field.

You can make a difference in problem domains that affect a lot of people.Machine learning adds more than a new tool to your toolbox, it gives you a superpower.There is nothing like it, algorithms that learn from data.The time is ripe given computing power, data availability, demand for skills and the growing community

What is Machine Learning

I believe machine learning is a tool required for solving a specific type of problem.

Some problems are not tractable with hand-crafted programs.Machine learning methods are those that automatically create programs from data in service problems.Applied machine learning requires an adjustment in thinking from designing a solution to evaluating candidate solutions.It is a field comprised of data, tools and algorithms and only good process can take you from problem to solution.

How to Get Started and Make Progress

I believe learn machine learning is learned best by doing.

Use standard datasets and an off-the-shelf tools in projects and deliver a useful predictive model for the data.Keep each project small, 5-10 man hours so that you can complete it within a week of nights.Study different datasets, algorithms, and tools and study other peoples completed projects.Build a portfolio of completed projects that you can build upon and demonstrate your growing capabilities.Follow a step-by-step process for working a problem end-to-end and refine that process on each iteration.

But, What If…

I believe you can learn and apply machine learning, right now.

Stop preparing to study machine learning and start a machine learning project.Machine learning is just another technology that you can pick-up and apply to solve complex problems.Skills in programming and mathematics can make some tasks easier, but are not required to get started and solve problems.Applied machine learning is a meritocracy, where your ability to achieve results matters more than your background.It is a job of creativity that is not the exclusive domain of applied mathematicians.

转载于:https://www.cnblogs.com/sevenguin/p/4350139.html