Machine Learning Solutions

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English | Apr 2018 | ISBN: 1788390040 | 566 Pages | EPUB
Practical, hands-on solutions in Python to overcome any problem in Machine Learning

Machine learning (ML) helps you find hidden insights from your data without the need for explicit programming. This book is your key to solving any kind of ML problem you might come across in your job.

You’ll encounter a set of simple to complex problems while building ML models, and you'll not only resolve these problems, but you’ll also learn how to build projects based on each problem, with a practical approach and easy-to-follow examples.

The book includes a wide range of applications: from analytics and NLP, to computer vision domains. Some of the applications you will be working on include stock price prediction, a recommendation engine, building a chat-bot, a facial expression recognition system, and many more. The problem examples we cover include identifying the right algorithm for your dataset and use cases, creating and labeling datasets, getting enough clean data to carry out processing, identifying outliers, overftting datasets, hyperparameter tuning, and more. Here, you'll also learn to make more timely and accurate predictions.

In addition, you'll deal with more advanced use cases, such as building a gaming bot, building an extractive summarization tool for medical documents, and you'll also tackle the problems faced while building an ML model. By the end of this book, you'll be able to fine-tune your models as per your needs to deliver maximum productivity.

Table of Contents
1: CREDIT RISK MODELING
2: STOCK MARKET PRICE PREDICTION
3: CUSTOMER ANALYTICS
4: RECOMMENDATION SYSTEMS FOR E-COMMERCE
5: SENTIMENT ANALYSIS
6: JOB RECOMMENDATION ENGINE
7: TEXT SUMMARIZATION
8: DEVELOPING CHATBOTS
9: BUILDING A REAL-TIME OBJECT RECOGNITION APP
10: FACE RECOGNITION AND FACE EMOTION RECOGNITION
11: BUILDING GAMING BOT

What You Will Learn
Select the right algorithm to derive the best solution in ML domains
Perform predictive analysis effciently using ML algorithms
Predict stock prices using the stock index value
Perform customer analytics for an e-commerce platform
Build recommendation engines for various domains
Build NLP applications for the health domain
Build language generation applications using different NLP techniques
Build computer vision applications such as facial emotion recognition

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关键词：solutions Learning Solution machine solutio

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thanks for sharing

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好书，关注一下

kankan

Thanks!!!!!

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