{"product_id":"python-expert-machine-learning-systems-and-intelligent-agents-using-python-paperback","title":"Python: Expert machine learning systems and intelligent agents using Python - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eGiuseppe Bonaccorso\u003c\/b\u003e (Author), \u003cb\u003eArmando Fandango\u003c\/b\u003e (Author), \u003cb\u003eRajalingappaa Shanmugamani\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eDemystify the complexity of machine learning techniques and create evolving, clever solutions to solve your problems\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eMaster supervised, unsupervised, and semi-supervised ML algorithms and their implementation\u003c\/li\u003e\n\u003cli\u003eBuild deep learning models for object detection, image classification, similarity learning, and more\u003c\/li\u003e\n\u003cli\u003eBuild, deploy, and scale end-to-end deep neural network models in a production environment\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBook Description: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eThis Learning Path is your complete guide to quickly getting to grips with popular machine learning algorithms. You'll be introduced to the most widely used algorithms in supervised, unsupervised, and semi-supervised machine learning, and learn how to use them in the best possible manner. Ranging from Bayesian models to the MCMC algorithm to Hidden Markov models, this Learning Path will teach you how to extract features from your dataset and perform dimensionality reduction by making use of Python-based libraries.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eYou'll bring the use of TensorFlow and Keras to build deep learning models, using concepts such as transfer learning, generative adversarial networks, and deep reinforcement learning. Next, you'll learn the advanced features of TensorFlow1.x, such as distributed TensorFlow with TF clusters, deploy production models with TensorFlow Serving. You'll implement different techniques related to object classification, object detection, image segmentation, and more.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eBy the end of this Learning Path, you'll have obtained in-depth knowledge of TensorFlow, making you the go-to person for solving artificial intelligence problems\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThis Learning Path includes content from the following Packt products: \u003c\/p\u003e\u003cp\u003e- Mastering Machine Learning Algorithms by Giuseppe Bonaccorso\u003c\/p\u003e\u003cp\u003e- Mastering TensorFlow 1.x by Armando Fandango\u003c\/p\u003e\u003cp\u003e- Deep Learning for Computer Vision by Rajalingappaa Shanmugamani\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat you will learn: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eExplore how an ML model can be trained, optimized, and evaluated\u003c\/li\u003e\n\u003cli\u003eWork with Autoencoders and Generative Adversarial Networks\u003c\/li\u003e\n\u003cli\u003eExplore the most important Reinforcement Learning techniques\u003c\/li\u003e\n\u003cli\u003eBuild end-to-end deep learning (CNN, RNN, and Autoencoders) models\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWho this book is for: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eThis Learning Path is for data scientists, machine learning engineers, artificial intelligence engineers who want to delve into complex machine learning algorithms, calibrate models, and improve the predictions of the trained model.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eYou will encounter the advanced intricacies and complex use cases of deep learning and AI. A basic knowledge of programming in Python and some understanding of machine learning concepts are required to get the best out of this Learning Path.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 764\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.52 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e December 19, 2018\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47212670288121,"sku":"9781789957211","price":71.98,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/K05NR2xrUW5VczZNQWJJNTBLYjJ4UT09.webp?v=1768094955","url":"https:\/\/bookscloud.io\/products\/python-expert-machine-learning-systems-and-intelligent-agents-using-python-paperback","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}