Nyd den ubegrænsede adgang til tusindvis af spændende e- og lydbøger - helt gratis
Python Machine Learning Illustrated Guide For Beginners & Intermediates
Machines Can Learn ?!
Automation and systematization is taking over the world. Slowly but surely we continuously see the rapid expansion of artificial intelligence, self-check out cash registers, automated phone lines, people-less car-washes , etc. The world is changing, find out how python programming ties into machine learning so you don't miss out on this next big trend!
This is your beginner's step by step guide with illustrated pictures!
Let's face it, machine learning is here to stay for the foreseeable future and will impact the lives billions worldwide! Drastically changing the world we live in the most fundamental ways, from our perceptions, life-style, thinking and in other aspects as well.
What You Will Learn
Linear & Polynomial Regression
Support Vector Machines
Decision Trees
Random Forest
KNN Algorithm
Naive Bayes Algorithm
Unsupervised Learning
Clustering
Cross Validation
Grid Search
And, much, much more!
If you want to learn more about python machine learning it is highly recommended you start from the ground up by using this book. Normally books on this subject matter are expensive! Why not start off by making a small and affordable investment with your illustrated beginners guide that walks you through python machine learning step by step
Why choose this book?
Addresses Fundamental Concepts
Goes Straight To The Point, No fluff or Nonsense
Practical Examples
High Quality Diagrams
"Noob friendly" (Good For Beginners & Intermediates)
Contains Various Aspects of Machine Learning
Endorses Learn "By Doing Approach"
Concise And To The Point
I been working tirelessly to provide you quality books at an affordable price. I believe this book will give you the confidence to tackle python machine learning at a fundamental level.
What are you waiting for? Make the greatest investment in YOUR knowledge base right now.
© 2019 PublishDrive (E-bog): 6610000218202
Release date
E-bog: 20. august 2019
Tags
Dansk
Danmark