Ultimate Step By Step Guide To Deep Learning Using Python
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Ultimate Step By Step Guide To Deep Learning Using Python
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Author : Daneyal Anis
language : en
Publisher:
Release Date : 2020-07-19
Ultimate Step By Step Guide To Deep Learning Using Python written by Daneyal Anis and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-19 with categories.
*Start your Data Science career using Python today!*Are you ready to start your new exciting career? Ready to master artificial intelligence and deep learning concepts?Are you overwhelmed with complexity of the books on this subject?Then let this breezy and fun little book on Python, Machine Learning and Deep Learning models make you a Data Scientist in 7 days!This book continues from where the first book in the series, Ultimate Step by Step Guide to Machine Learning Using Python, left of. In the first book you were introduced to Python concepts such as: -Data Structures like Pandas -Foundational libraries like Numpy, Seaborn and Scikit-Learn-Regression analysis-Classification-Clustering-Association Learning-Dimension ReductionThis book builds on those concepts to expand on Machine Learning algorithms like: -Linear and Logistical regression-Decision tree-Support vector machines (SVM)After that, this book takes you on a journey into Deep Learning and Neural Networks with important concepts and libraries like: -Convolutional and Recurrent Neural Networks-TensorFlow-Keras-PyTorch-Keras-Apache MXNet-Microsoft Cognitive Toolkit (CNTK)The final part of the book covers all foundational concepts that are required for Amazon Web Services (AWS) Certified Machine Learning Specialization by explaining how to deploy your models at scale on Cloud technologies. While AWS is used in the book for illustrative purposes, Microsoft Azure and Google Cloud are also introduced as alternative cloud technologies. After reading this book you will be able to: -Code in Python with confidence-Build new machine learning and deep learning models from scratch-Know how to clean and prepare your data for analytics-Speak confidently about statistical analysis techniquesData Science was ranked the fast-growing field by LinkedIn and Data Scientist is one of the most highly sought after and lucrative careers in the world!If you are on the fence about making the leap to a new and lucrative career, this is the book for you!What sets this book apart from other books on the topic of Python and Machine learning: -Step by step code examples and explanation-Complex concepts explained visually-Real world applicability of the machine learning and deep learning models introducedWhat do I need to get started?You will have a step by step action plan in place once you finish this book and finally feel that you, can master data science and artificial intelligence and start a lucrative and rewarding career! Ready to dive in to the exciting world of Python and Deep Learning?Then scroll up to the top and hit that BUY BUTTON!
Python Machine Learning From Scratch
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Author : Sebastian Dark
language : en
Publisher:
Release Date : 2018-11-09
Python Machine Learning From Scratch written by Sebastian Dark and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-09 with Machine learning categories.
In this book, you will find the perfect balance between the information being very thorough and being able to understand it. Although tailored for beginners, it won't contain simple and easily accessible information.
Ultimate Step By Step Guide To Machine Learning Using Python
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Author : Daneyal Anis
language : en
Publisher:
Release Date : 2020-02-17
Ultimate Step By Step Guide To Machine Learning Using Python written by Daneyal Anis and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-17 with categories.
*Start your Data Science career using Python today!* Are you ready to start your new exciting career? Ready to crush your machine learning career goals? Are you overwhelmed with complexity of the books on this subject?Then let this breezy and fun little book on Python and machine learning models make you a data scientist in 7 days! First part of this book introduces Python basics including: 1) Data Structures like Pandas 2) Foundational libraries like Numpy, Seaborn and Scikit-Learn Second part of this book shows you how to build predictive machine learning models step by step using techniques such as: 1) Regression analysis 2) Decision tree analysis 3) Training and testing data models 4) And much more! After reading this book you will be able to: 1) Code in Python with confidence 2) Build new machine learning models from scratch 3) Know how to clean and prepare your data for analytics 4) Speak confidently about statistical analysis techniques Data Science was ranked the fast-growing field by LinkedIn and Data Scientist is one of the most highly sought after and lucrative careers in the world! If you are on the fence about making the leap to a new and lucrative career, this is the book for you! What sets this book apart from other books on the topic of Python and Machine learning: 1) Step by step code examples and explanation 2) Complex concepts explained visually 3) Real world applicability of the machine learning models introduced 4) Bonus free code samples that you can try yourself without any prior experience in Python! What do I need to get started? You will have a step by step action plan in place once you finish this book and finally feel that you, can master data science and machine learning and start lucrative and rewarding career! Ready to dive in to the exciting world of Python and Machine Learning? Then scroll up to the top and hit that BUY BUTTON!
Deep Learning With Python
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Author : Ethan Williams
language : en
Publisher:
Release Date : 2020-05-27
Deep Learning With Python written by Ethan Williams and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-27 with categories.
Introduction 1Deep Learning with Python - The ultimate beginners guide to Learn Deep Learning with Python Step by StepYou have made a perfect choice to consider learning Python and most importantly to develop your skills in the programming world. A good choice comes with good tidings since you have you are looking at a highly comprehensive beginners' guidebook that will provide you with all the necessary steps and tips to get started. Deep Learning with Python - The ultimate beginners guide to Learn Deep Learning with Python Step by Step is packed with basic beginners' concepts, detailed examples and extra reminder exercises.Newbies are totally welcome to dive in! You do not need any experience with programming whatsoever. Just have a notepad ready because taking short notes helps and get ready to play around with the samples and do a whole lot of coding!The program was developed in December 1989 by Guido van Rossum. Guido's passion and hobby was to write and learn new codes that were available during his time. It is documented that he developed the python programming language while interacting and learning the ABC programming language.This is one of the best languages that you can choose to begin learning and at the end have a successful career in it. In summary, since the programming language was open-sourced, we expect a lot of advancements and developments on the language that will make it simpler and easier to use over the coming years.Introduction 2Deep Learning with Python - Comprehensive Guide of Tips and Tricks using Deep Learning with Python TheoriesThis book is designed to help you use Python for deep learning, including how to build and run deep learning models using Keras. This book also includes deep learning techniques, sample code, and technical content.The mathematical foundations of deep learning are subtle: but the average user doesn't need to fully understand the mathematical details to pick up the keyboard and start programming. Practically speaking, deep learning is not complicated, but the results are very objective. Teach you how to use deep learning: this is the purpose of this book.Introduction 3Deep Learning with Python - Advanced and Effective Strategies of Using Deep Learning with Python TheoriesThis book discusses the intricacies of the internal workings of a deep learning model. It addresses the techniques and methods that can not only boost the productivity of your machine learning architectural skills, but also introduces new concepts. Implemented correctly, these can set your deep learning model a league apart from all other models. This book not only focuses on theoretical and conceptual realms of such knowledge, but also gives equal importance to putting this information to the test. We do this by including some common practical examples and demonstrations that you would normally build deep learning for, hence giving you the best of both worlds. The main features of this book include: -Refreshing the fundamentals of a deep learning model and neural networks and connecting them with the advanced knowledge laid out in this book, reinforcing the reader's prior knowledge and transforming it into an expert-level understanding.-Emphasizing those tasks that are commonly demanded from deep learning models and breathing new life into them by introducing new techniques, methods, and elements that enable the model to drastically improve the performance of deep learning models on such tasks.-No usage of mathematical notations in the examples detailed in this book so that the concepts can be readily assimilated and mastered by programmers that do not have a mathematical background, hence prioritizing clarity of concepts.-Keeping this requirement in mind, the examples use Numpy code throughout as it best represents what the code actually means and its purpose.If you want to learn advanced strategies for Python this is the book for you.
Mastering Deep Learning Fundamentals With Python
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Author : Richard Wilson
language : en
Publisher: Independently Published
Release Date : 2019-07-14
Mastering Deep Learning Fundamentals With Python written by Richard Wilson and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-14 with categories.
★★Buy the Paperback Version of this Book and get the Kindle Book version for FREE ★★ Step into the fascinating world of data science.. You to participate in the revolution that brings artificial intelligence back to the heart of our society, thanks to data scientists. Data science consists in translating problems of any other nature into quantitative modeling problems, solved by processing algorithms. This book, designed for anyone wishing to learn Deep Learning. This book presents the main techniques: deep neural networks, able to model all kinds of data, convolution networks, able to classify images, segment them and discover the objects or people who are there, recurring networks, it contains sample code so that the reader can easily test and run the programs. On the program: Deep learning Neural Networks and Deep Learning Deep Learning Parameters and Hyper-parameters Deep Neural Networks Layers Deep Learning Activation Functions Convolutional Neural Network Python Data Structures Best practices in Python and Zen of Python Installing Python Python These are some of the topics covered in this book: fundamentals of deep learning fundamentals of probability fundamentals of statistics fundamentals of linear algebra introduction to machine learning and deep learning fundamentals of machine learning fundamentals of neural networks and deep learning deep learning parameters and hyper-parameters deep neural networks layers deep learning activation functions convolutional neural network Deep learning in practice (in jupyter notebooks) python data structures best practices in python and zen of python installing python The following are the objectives of this book: To help you understand deep learning in detail To help you know how to get started with deep learning in Python by setting up the coding environment. To help you transition from a deep learning Beginner to a Professional. To help you learn how to develop a complete and functional artificial neural network model in Python on your own. And more Get this book now to learn more about -- Deep learning in Python by setting up the coding environment.!
Python Machine Learning
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Author : Richard Moore
language : en
Publisher:
Release Date : 2020-03-03
Python Machine Learning written by Richard Moore and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-03 with categories.
Are you looking for a guide of Machine Learning? The purpose of this book is to guide you step by step through the entire process of working with various machine learning algorithms. First you will learn the basics of working with Python in order to acquire the basic knowledge needed to understand machine learning. In each chapter you will learn a great deal of theory backed up by practical examples. Once you have the basics down, you will get to the core of Machine Learning algorithms and techniques. You will explore: Why machine learning is important and so popular with today's tech industry. The basics of working with Python. How to set up the development environment with the help of Python scientific distributions and libraries. How to preprocess your data and prepare it for training. How to work with the most important machine learning algorithms such as support vector machines and decision trees. The power of neural networks and how to work with feedforward, recurrent, and convolutional networks. Learn machine learning and working with training algorithms doesn't have to be a complex journey. Scroll up and click buy now so that Python Machine Learning can guide you step by step through the entire process.
Deep Learning With Python
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Author : Chao Pan
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2016-06-14
Deep Learning With Python written by Chao Pan and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-14 with categories.
***** BUY NOW (will soon return to 24.77 $) *****Are you thinking of learning deep Learning using Python? (For Beginners Only) If you are looking for a beginners guide to learn deep learning, in just a few hours, this book is for you. From AI Sciences Publisher Our books may be the best one for beginners; it's a step-by-step guide for any person who wants to start learning Artificial Intelligence and Data Science from scratch. It will help you in preparing a solid foundation and learn any other high-level courses.To get the most out of the concepts that would be covered, readers are advised to adopt a hands on approach, which would lead to better mental representations.Step-by-Step Guide and Visual Illustrations and ExamplesThis book and the accompanying examples, you would be well suited to tackle problems, which pique your interests using machine learning and deep learning models. Book Objectives This book will help you: Have an appreciation for deep learning and an understanding of their fundamental principles. Have an elementary grasp of deep learning concepts and algorithms. Have achieved a technical background in deep learning and neural networks using Python. Target UsersThe book designed for a variety of target audiences. Anyone who is intrigued by how algorithms arrive at predictions but has no previous knowledge of the field. Software developers and engineers with a strong programming background but seeking to break into the field of machine learning. Seasoned professionals in the field of artificial intelligence and deep learning who desire a bird's eye view of current techniques and approaches. What's Inside This Book? Introduction What is Artificial Intelligence, Machine Learning and Deep Learning? Mathematical Foundations of Deep Learning Understanding Machine Learning Models Evaluation of Machine Learning Models: Overfitting, Underfitting, Bias Variance Tradeoff Fully Connected Neural Networks Convolutional Neural Networks Recurrent Neural Networks Generative Adversarial Networks Deep Reinforcement Learning Introduction to Deep Neural Networks with Keras A First Look at Neural Networks in Keras Introduction to Pytorch The Pytorch Deep Learning Framework Your First Neural Network in Pytorch Deep Learning for Computer Vision Build a Convolutional Neural Network Deep Learning for Natural Language Processing Working with Sequential Data Build a Recurrent Neural Network Frequently Asked Questions Q: Is this book for me and do I need programming experience?A: if you want to smash Deep Learning from scratch, this book is for you. Little programming experience is required. If you already wrote a few lines of code and recognize basic programming statements, you'll be OK. Q: Can I have a refund if this book doesn't fit for me?A: Yes, Amazon refund you if you aren't satisfied, for more information about the amazon refund service please go to the amazon help platform. We will also be happy to help you if you send us an email.***** MONEY BACK GUARANTEE BY AMAZON ***** Editorial Reviews"This is an excellent book, it is a very good introduction to deep learning and neural networks. The concepts and terminology are clearly explained. The book also points out several good locations on the internet where users can obtain more information. I was extremely happy with this book and I recommend it for all beginners" - Prof. Alain Simon, EDHEC Business School. Statistician and DataScientist.
Python Machine Learning
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Author : Ryan Turner
language : en
Publisher: Publishing Factory
Release Date : 2020-04-12
Python Machine Learning written by Ryan Turner and has been published by Publishing Factory this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-12 with Computers categories.
Are you a novice programmer who wants to learn Python Machine Learning? Are you worried about how to translate what you already know into Python? This book will help you overcome those problems. As machines get ever more complex and perform more and more tasks to free up our time, so it is that new ideas are developed to help us continually improve their speed and abilities. One of these is Python and in Python Machine Learning: The Ultimate Beginner's Guide to Learn Python Machine Learning Step by Step using Scikit-Learn and Tensorflow, you will discover information and advice on: • What machine learning is • The history of machine learning • Approaches to machine learning • Support vector machines • Machine learning and neural networks • The Internet of Things (IoT) • The future of machine learning • And more… This book has been written specifically for beginners and the simple, step by step instructions and plain language make it an ideal place to start for anyone who has a passing interest in this fascinating subject. Python really is an amazing system and can provide you with endless possibilities when you start learning about it. Get a copy of Python Machine Learning today and see where the future lies!
Python For Beginners 2021
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Author : Leo Sgarbi
language : en
Publisher: Claudio Ametrano
Release Date : 2021-11-18
Python For Beginners 2021 written by Leo Sgarbi and has been published by Claudio Ametrano this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-18 with categories.
Python was developed in 1980s by Guido Van Rossum of Netherlands. Python was developed as an object-oriented language with an emphasis on simplicity, extensibility and flexibility. Python also comes with a large library of pre-built functionality for data science, statistical analysis and data visualizations which make this language very easy to learn and use. In this book we will focus on data science applications of Python with hands on examples that allow you to go from novice to expert in a short period of time! We will start with getting you set up with Python, introducing you to its data structures and libraries and then finally getting into the data science applications of this beautiful language. What you will find different about this book is the visual and hands on approach it takes to teaching Python. Since this book is directed at beginners, we will not drone on and on about complex concepts or make this book text heavy. Instead, we will take inspiration from the Zen of Python by Tim Peters.
Machine Learning With Python
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Author : Dan Phillips
language : en
Publisher: Double M International Limited
Release Date : 2021-01-13
Machine Learning With Python written by Dan Phillips and has been published by Double M International Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-13 with Computers categories.
Are you completely new to Python Programming or do you want to expand your knowledge in the incredible world of Machine Learning? If you would like to start Programming or learn about Machine Learning and its algorithms but may seem to be a struggle, don't worry! Thanks to this complete guide with practical projects and examples you will finally solve your problems! These 2 Books in 1 will teach you fundamental and advance information to master the easiest Programming language, Artificial Intelligence, Data Science and Machine Learning. Avoid the main mistakes everybody makes and stop waste your precious time and money in expensive online courses. This is what you will find in this step-by-step guide: Why Python and Machine Learning are a successful combo The secrets of the Machine Learning's Success The Best Trick and practice for Python Programming ... and that's not all! The Importance of Artificial Intelligence nowadays Solutions for Small Businesses Using Data Science The best Algorithms to use ...and much more!!! Take advantage of this Guide and discover this fantastic world! What are you waiting for? Press the Buy-Now button and get started!