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APPLIED DEEP LEARNING WITH PYTHON: USE SCIKIT-LEARN, By Alex Galea & Luis Capelo
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eBay-objectnummer:226851308890
Specificaties
- Objectstaat
- ISBN-10
- 1789804744
- Book Title
- Applied Deep Learning with Python: Use scikit-learn, TensorFlow,
- Item Height
- 9.25 inches
- ISBN
- 9781789804744
Over dit product
Product Identifiers
Publisher
Packt Publishing, The Limited
ISBN-10
1789804744
ISBN-13
9781789804744
eBay Product ID (ePID)
3038539024
Product Key Features
Number of Pages
334 Pages
Language
English
Publication Name
Applied Deep Learning with Python : Use Scikit-Learn, TensorFlow, and Keras to Create Intelligent Systems and Machine Learning Solutions
Subject
Programming / General, Intelligence (Ai) & Semantics, Programming Languages / Python
Publication Year
2018
Type
Textbook
Subject Area
Computers
Format
Trade Paperback
Dimensions
Item Length
3.6 in
Item Width
3 in
Additional Product Features
Intended Audience
Trade
Table Of Content
Table of Contents Jupyter Fundamentals Data Cleaning and Advanced Machine Learning Web Scraping and Interactive Visualizations Introduction to Neural Networks and Deep Learning Model Architecture Model Evaluation Productization
Synopsis
Getting started with data science can be overwhelming, even for experienced developers. In this two-part, hands-on book we'll show you how to apply your existing understanding of the Python language to this new and exciting field that's full of new opportunities (and high expectations)!, A hands-on guide to deep learning that's filled with intuitive explanations and engaging practical examples Key Features Designed to iteratively develop the skills of Python users who don't have a data science background Covers the key foundational concepts you'll need to know when building deep learning systems Full of step-by-step exercises and activities to help build the skills that you need for the real-world Book Description Taking an approach that uses the latest developments in the Python ecosystem, you'll first be guided through the Jupyter ecosystem, key visualization libraries and powerful data sanitization techniques before we train our first predictive model. We'll explore a variety of approaches to classification like support vector networks, random decision forests and k-nearest neighbours to build out your understanding before we move into more complex territory. It's okay if these terms seem overwhelming; we'll show you how to put them to work. We'll build upon our classification coverage by taking a quick look at ethical web scraping and interactive visualizations to help you professionally gather and present your analysis. It's after this that we start building out our keystone deep learning application, one that aims to predict the future price of Bitcoin based on historical public data. By guiding you through a trained neural network, we'll explore common deep learning network architectures (convolutional, recurrent, generative adversarial) and branch out into deep reinforcement learning before we dive into model optimization and evaluation. We'll do all of this whilst working on a production-ready web application that combines Tensorflow and Keras to produce a meaningful user-friendly result, leaving you with all the skills you need to tackle and develop your own real-world deep learning projects confidently and effectively. What you will learn Discover how you can assemble and clean your very own datasets Develop a tailored machine learning classification strategy Build, train and enhance your own models to solve unique problems Work with production-ready frameworks like Tensorflow and Keras Explain how neural networks operate in clear and simple terms Understand how to deploy your predictions to the web Who this book is for If you're a Python programmer stepping into the world of data science, this is the ideal way to get started.
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Populaire rubrieken in deze winkel
Feedback verkoper (296.660)
- 6***h (3040)- Feedback gegeven door koper.Afgelopen maandGeverifieerde aankoopThe book that arrived was not the book shown in the listing as it was a completely different cover and published date. However I would still have kept it but the one I received was dirty, stained and the binder was cracked and broken even though the listing stated it was in very good condition. I contacted the seller about the problem and was offered a $10 refund which I refused as I had paid a lot more for the book, then they offered €25 but I did not want the book and was refunded by eBay
- 4***n (407)- Feedback gegeven door koper.Afgelopen maandGeverifieerde aankoopThis Book is First Rate Quality, Great Condition I Highly recommend this Seller!! 🙂
- -***8 (55)- Feedback gegeven door koper.Afgelopen maandGeverifieerde aankoopVery good quality due to this book's limited availability. Excellent condition with incredible value. The only blemish is minimal wear on the dust jacket, but that is to be expected on the hardcover edition after so many years. Generally, the appearance of this book is excellent. Swift shipping, well packaged, and a very recommended seller of gently handled vintage books!