Are you still wondering what Machine Learning can do for you? Not sure how to get started?
In the age of data and artificial intelligence, Machine Learning (ML) seems to be all the rage. Prediction APIs and ML-as-a-service are now making it accessible to everyone. In just 196 pages, this book teaches you how to make these tools work for you. It’s the fastest way for managers and developers to gain practical ML knowledge.
You will learn the possibilities and limitations of ML, how to formulate your own ML problem, and how to approach it with the right tools — not complex algorithms.
Example use cases
Improve users' experience by observing behavior and predicting needs/interests
Exploit the value of customer data: predict churn, upsell opportunities, revenue, and optimize offerings
Save time by automatically categorizing documents and prioritizing tasks
… and more covered in the book!
Start your own ML project
The book teaches you what makes ML work and what are the limitations, so you’ll be able to develop your own original ideas of ML applications. You’ll learn how to incorporate domain knowledge into your ML system, and how to create value from predictions.
While others are investing time and money to build their own ML algorithms and infrastructure, you can be much quicker by adopting Predictive APIs and ML-as-a-Service. Bootstrapping Machine Learning teaches you how, so, you can focus on the most critical aspects for the success of your project: preparing data and acting on predictions.
The email course (optional)
More free content to get you started with ML progressively:
- 8 bite-sized pieces delivered to your inbox over 30 days
- Summarized excerpts from my book
- Links to bonus material: videos, hands-on demos, and some of my most popular articles to read offline.
About the author
Hi! I’m Louis, I’m an independent consultant and a Machine Learning specialist. I created the Machine Learning Canvas and founded the PAPIs.io, the 1st series of international conferences dedicated to real-world ML applications, and to the innovations, techniques and tools that power them. I’m also an adjunct teaching fellow at UCL School of Management and a board member of France is AI.
My goal is to help you create smarter applications and businesses by using Machine Learning. Previously I served as Head of R&D in a technology startup and I created a web-based business. I have been working in ML for more than 10 years and I hold a PhD from University College London.