By Prateek Joshi

Key Features

  • Understand which algorithms to take advantage of in a given context with the aid of this fascinating recipe-based guide
  • Learn approximately perceptrons and notice how they're used to construct neural networks
  • Stuck whereas making feel of pictures, textual content, speech, and genuine property? This consultant will come in your rescue, exhibiting you the way to accomplish laptop studying for every this kind of utilizing a number of techniques

Book Description

Machine studying is changing into more and more pervasive within the smooth data-driven global. it's used broadly throughout many fields resembling se's, robotics, self-driving autos, and more.

With this ebook, you are going to how one can practice a number of laptop studying initiatives in numerous environments. we are going to begin by way of exploring a number of real-life eventualities the place laptop studying can be utilized, and think about numerous construction blocks. in the course of the publication, you are going to use a large choice of desktop studying algorithms to resolve real-world difficulties and use Python to enforce those algorithms.

You'll notice tips on how to care for numerous kinds of information and discover the variations among computer studying paradigms reminiscent of supervised and unsupervised studying. We additionally conceal a variety of regression recommendations, category algorithms, predictive modeling, information visualization thoughts, advice engines, and extra with the aid of real-world examples.

What you are going to learn

  • Explore class algorithms and follow them to the source of revenue bracket estimation problem
  • Use predictive modeling and use it on real-world problems
  • Understand the right way to practice marketplace segmentation utilizing unsupervised learning
  • Explore info visualization innovations to have interaction along with your info in various ways
  • Find out find out how to construct a advice engine
  • Understand the right way to have interaction with textual content info and construct versions to research it
  • Work with speech facts and realize spoken phrases utilizing Hidden Markov Models
  • Analyze inventory marketplace info utilizing Conditional Random Fields
  • Work with photo info and construct structures for photo popularity and biometric face recognition
  • Grasp the way to use deep neural networks to construct an optical personality reputation system

About the Author

Prateek Joshi is a man-made Intelligence researcher and a broadcast writer. He has over 8 years of expertise during this box with a prime concentrate on content-based research and deep studying. He has written books on desktop imaginative and prescient and desktop studying. His paintings during this box has ended in a number of patents, tech demos, and learn papers at significant IEEE conferences.

People from around the globe stopover at his web publication, and he has acquired greater than 1000000 web page perspectives from over 2 hundred international locations. He has been featured as a visitor writer in fashionable tech magazines. He enjoys running a blog approximately themes, comparable to man made Intelligence, Python programming, summary arithmetic, and cryptography. you could stopover at his weblog at www.prateekvjoshi.com.

He has gained many hackathons using a large choice of applied sciences. he's an avid coder who's obsessed with development game-changing items. He graduated from college of Southern California, and he has labored at businesses equivalent to Nvidia, Microsoft study, Qualcomm, and a pair of early level start-ups in Silicon Valley. you could research extra approximately him on his own site at www.prateekj.com.

Table of Contents

  1. The Realm of Supervised Learning
  2. Constructing a Classifier
  3. Predictive Modeling
  4. Clustering with Unsupervised Learning
  5. Building advice Engines
  6. Analyzing textual content Data
  7. Speech Recognition
  8. Dissecting Time sequence and Sequential Data
  9. Image content material Analysis
  10. Biometric Face Recognition
  11. Deep Neural Networks
  12. Visualizing Data

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Python Machine Learning Cookbook by Prateek Joshi


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