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Python Machine Learning Cookbook | Download eBook pdf, epub, tuebl, mobi
Mar 30, · This eagerly anticipated second edition of the popular Python Machine Learning Cookbook will enable you to adopt a fresh approach to dealing with real-world machine learning and deep learning tasks. With the help of over recipes, you will learn to build powerful machine learning applications using modern libraries from the Python ecosystem. Jun 13, · Python Machine Learning Cookbook. Python Machine Learning Cookbook by Packt Publishing. ##Instructions and Navigation This is the code repository for Python Machine Learning Cookbook, published by blogger.com contains all the supporting project files necessary to work through the book from start to finish. File type: PDF €|€ pages | File size: Mb I think that Python Machine Learning Cookbook are great because they are so attention holding, I mean you know how people describe Python Machine Learning Cookbook By Prateek Joshi good books by saying they cant stop reading them, well, I really could not stop reading. It is yet again another.
Machine learning with python cookbook pdf download
JavaScript seems to be disabled in your browser. For the best experience on our site, machine learning with python cookbook pdf download, be sure to turn on Javascript in your browser. This eagerly anticipated second edition of the popular Python Machine Learning Cookbook will enable you to adopt a fresh approach to dealing with real-world machine learning and deep learning tasks. With the help of over recipes, you will learn to build powerful machine learning applications using modern libraries from the Python ecosystem.
The book will also guide you on how to implement various machine learning algorithms for classification, clustering, and recommendation engines, using a recipe-based approach. With emphasis on practical solutions, machine learning with python cookbook pdf download, dedicated sections in the book will help you to apply supervised and unsupervised learning techniques machine learning with python cookbook pdf download real-world problems.
Toward the concluding chapters, you will get to grips with recipes that teach you advanced techniques including reinforcement learning, deep neural networks, and automated machine learning. By the end of this book, you will be equipped with the skills you need to apply machine learning techniques and leverage the full capabilities of the Python ecosystem through real-world examples.
Giuseppe Ciaburro holds a PhD in environmental technical physics, machine learning with python cookbook pdf download, along with two master's degrees. His research was focused on machine learning applications in the study of urban sound environments. He has over 15 years' professional experience in programming Python, R, and MATLABfirst in the field of combustion, and then in acoustics and noise control.
He has several publications to his credit. Prateek Joshi is an artificial intelligence researcher, an author of several books, and a TEDx speaker. He is the founder of Pluto AI, a venturefunded Silicon Valley start-up building an intelligence platform for water facilities. He graduated from the University of Southern California with a Master's degree specializing in Artificial Intelligence.
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Sign Machine learning with python cookbook pdf download Register. Toggle Nav. Browse All. All Books. Best Sellers. Top Searches:. All Videos. Discover powerful ways to effectively solve real-world machine learning problems using key libraries including scikit-learn, TensorFlow, and PyTorch. Skip to the end of the images gallery. Skip to the beginning of the images gallery. Read Now Look inside. More Information Learn Use predictive modeling and apply it to real-world problems Explore data visualization techniques to interact with your data Learn how to build a recommendation engine Understand how to interact with text data and build models to analyze it Work with speech data and recognize spoken words using Hidden Markov Models Get well versed with reinforcement learning, automated ML, and transfer learning Work with image data and build systems for image recognition and biometric face recognition Use deep neural networks to build an optical character recognition system About This eagerly anticipated second edition of the popular Python Machine Learning Cookbook will enable you to adopt a fresh approach to machine learning with python cookbook pdf download with real-world machine learning and deep learning tasks.
Features Learn and implement machine learning algorithms in a variety of real-life scenarios Cover a range of tasks catering to supervised, unsupervised and reinforcement learning techniques Find easy-to-follow code solutions for tackling common and not-so-common challenges Page Count Course Length 19 hours 15 minutes ISBN Date Of Publication 30 Mar Table of contents. Technical requirements Introduction Building a simple classifier Building a logistic regression classifier Building a Naive Bayes classifier Splitting a dataset for training and testing Evaluating accuracy using cross-validation metrics Visualizing a confusion matrix Extracting a performance report Evaluating cars based on their characteristics Extracting validation curves Extracting learning curves Estimating the income bracket Predicting the quality of wine Newsgroup trending topics classification.
Technical requirements Introduction Building a linear classifier using SVMs Building a nonlinear classifier using SVMs Tackling class imbalance Extracting confidence measurements Finding optimal hyperparameters Building an event predictor Estimating traffic Simplifying machine learning workflow using TensorFlow Implementing a stacking method.
Technical requirements Introduction Clustering data using the k-means algorithm Compressing an image using vector quantization Grouping data using agglomerative clustering Evaluating the performance of clustering algorithms Estimating the number of clusters using the DBSCAN algorithm Finding patterns in stock market data Building a customer segmentation model Using autoencoders to reconstruct handwritten digit images.
Technical requirements Introduction Preprocessing data using tokenization Stemming text data Converting text to its base form using lemmatization Dividing text using chunking Building a bag-of-words model Building a text classifier Identifying the gender of a name Analyzing the sentiment of a sentence Identifying patterns in text using topic modeling Parts of speech tagging with spaCy Word2Vec using gensim Shallow learning for spam detection.
Technical requirements Introducing time series Transforming data into a time series format Slicing time series data Operating on time series data Extracting statistics from time series data Building HMMs for sequential data Building CRFs for sequential text data Analyzing stock market data Using RNNs to predict time series data.
Technical requirements Introduction Weather forecasting with MDP Optimizing a financial portfolio using DP Finding the shortest path Deciding the discount factor using Q-learning Implementing the deep Q-learning algorithm Developing an AI-based dynamic modeling system Deep reinforcement learning with double Q-learning Deep Q-network algorithm with dueling Q-learning.
Technical requirements Introduction Building a perceptron Building a single layer neural network Building a deep neural network Creating a vector quantizer Building a recurrent neural network for sequential data analysis Visualizing the characters in an OCR database Building an optical character recognizer using neural networks Implementing optimization algorithms in ANN. Technical requirements Introduction Handling unstructured data Deploying machine learning models Keeping track of changes into production Tracking accuracy to optimize model scaling.
Authors Giuseppe Ciaburro Giuseppe Ciaburro holds a PhD in environmental technical physics, along with two master's degrees, machine learning with python cookbook pdf download.
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What do I get with an eBook? Add To Cart. Start a FREE day trial. Your Privacy 2. Strictly Necessary Cookies 3. Performance Cookies 4, machine learning with python cookbook pdf download. Targeting Cookies Your Privacy. Strictly Necessary Cookies Always active. Performance Cookies. Targeting Cookies. Allow all Save. Use predictive modeling and apply it to real-world problems Explore data visualization techniques to interact with your data Learn how to build a recommendation engine Understand how to interact with text data and build models to analyze it Work with speech data and recognize spoken words using Hidden Markov Models Get well versed with reinforcement learning, automated ML, and transfer machine learning with python cookbook pdf download Work with image data and build systems for image recognition and biometric face recognition Use deep machine learning with python cookbook pdf download networks to build an optical character recognition system.
Learn and implement machine learning algorithms in a variety of real-life scenarios Cover a range of tasks catering to supervised, unsupervised and reinforcement learning techniques Find easy-to-follow code solutions for tackling common and not-so-common challenges. Technical requirements. Array creation in Python. Data scaling. One-hot encoding. Label encoding.
Building a linear regressor. Computing regression accuracy. Achieving model persistence. Building a ridge regressor. Building a polynomial regressor. Estimating housing prices. Computing the relative importance of features. Estimating bicycle demand distribution. Building a simple classifier.
Building a logistic regression classifier. Building a Naive Bayes classifier. Splitting a dataset for training and testing. Evaluating accuracy using cross-validation metrics. Visualizing a confusion matrix. Extracting a performance report. Evaluating cars based on their characteristics. Extracting validation curves.
Extracting learning curves. Estimating the income bracket. Predicting the quality of wine, machine learning with python cookbook pdf download. Newsgroup trending topics classification. Building a linear classifier using SVMs. Building a nonlinear classifier using SVMs. Tackling class imbalance.
Extracting confidence measurements.
Python Machine Learning Tutorial #1 - Introduction
, time: 11:21Machine learning with python cookbook pdf download
File type: PDF €|€ pages | File size: Mb I think that Python Machine Learning Cookbook are great because they are so attention holding, I mean you know how people describe Python Machine Learning Cookbook By Prateek Joshi good books by saying they cant stop reading them, well, I really could not stop reading. It is yet again another. Python Machine Learning Cookbook PDF Free Download. Report Link. Issue: *. This practical guide provides nearly self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If you’re comfortable with Python and its libraries, - Selection from Machine Learning with Python Cookbook [Book].
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