Deep Learning For Business With Python
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Deep Learning For Business With Python
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Author : N. Lewis
language : en
Publisher:
Release Date : 2016-10-27
Deep Learning For Business With Python written by N. Lewis and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-27 with categories.
Leverage Deep Learning for Business Analysis - with Python! Deep Learning for Business With Python takes you on a gentle, fun and unhurried journey to building your own deep neural network models for business use in Python. It demystifies deep learning by taking a how-to approach through a series of business case studies. Using plain language, it offers a simple, intuitive, practical, non-mathematical, easy to follow guide to the most successful ideas, outstanding techniques and usable solutions available using Python. QUICK AND EASY: Deep Learning for Business With Python offers the ideal introduction to deep learning for business analysis. It is designed to be accessible. It will teach you, in simple and easy-to-understand terms, how to take advantage of deep learning to enhance business outcomes using Python. NO EXPERIENCE?: I'm assuming you never did like linear algebra, don't want to see things derived, dislike complicated computer code, and you're here because you want to see how to use deep neural networks for business problems explained in plain language, and try them out for yourself. THIS BOOK IS FOR YOU IF YOU WANT: Explanations rather than mathematical derivation Real world applications that make sense. Illustrations to deepen your understanding. Worked examples you can easily follow and immediately implement. Ideas you can actually use and try on your own data. TAKE THE SHORTCUT: Through a simple to follow process you will learn how to build deep neural network models for business problems using Python. Once you have mastered the process, it will be easy for you to translate your knowledge into your own powerful business applications. Each chapter covers, step by step, a different aspect of deep neural networks. You get your hands dirty as you work through some challenging real world business issues. YOU'LL LEARN HOW TO: Unleash the power of Deep Neural Networks for classifying Insurance Claims. Develop hands on solutions to predict product yield. Design successful applications for modeling customer churn. Master techniques for efficient classification in peer to peer marketplaces. Deploy deep neural networks to predict crash injury severity. Adopt winning solutions to forecast property value. Everything you need to get started is contained within this book. Deep Learning for Business with Python is your very own hands on practical, tactical, easy to follow guide to mastery. Buy this book today, your next big breakthrough using deep neural networks is only a page away!
Machine Learning
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Author : Dan Phillips
language : en
Publisher:
Release Date : 2020-08-07
Machine Learning written by Dan Phillips and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-07 with categories.
Are you an aspirant software developer? Do you start from zero or do you want to expand your knowledge of the incredible world of machine learning?Do you want to understand how to take advantage of big data from big tech companies (Google, Facebook and Amazon) to reach your objectives? Then keep reading. Machine learning is the path to the future: the most profitable way to increase your career or business! This book will help you develop fundamental and advance information in the Artificial Intelligence, Data Science, Algorithms, Python and Machine Learning. Machine learning is among computer science's most rising and money-making areas! This book includes: Machine Learning Introduction Why Machine Learning Have Become So Successful? Machine Learning Utilizations Applications of Machine Learning Artificial Intelligence and its Importance Machine Learning Algorithms Types Machine Learning Regression Techniques Random Forests vs Decision Trees What is an Artificial Neural Network? Why Should We Use Data Science and How it can help in Business? Why Python and Data Science Mix Well? Data Science Statistical Learning Machine Learning Algorithms for Data Science How Machine Learning Is Reshaping Marketing? Solutions for Small Businesses Using Big Data ...and much more!!! Don't wait anymore, press the Buy Now Button and get started!
Machine Learning With Python
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Author : Mark Coding
language : en
Publisher: Charlie Creative Lab
Release Date : 2020-10-25
Machine Learning With Python written by Mark Coding and has been published by Charlie Creative Lab this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-25 with categories.
Are you tired of taking risks, hoping things will pay off big but you are always worried about the risks? Have you been hearing about some of the buzzwords in the world of business like data science, data analysis, and machine learning, but worry they will be too hard for you to catch onto and learn more about? Are you looking for ways to know more about your industry, what products to release, and how to gain a competitive edge overall, without all of the risks? If this sounds like something you have dealt with, then machine learning for Python is the best option for you! This guidebook is going to dive into all of the parts of this that you need to know right now! Inside, we will explore what machine learning is all about, how to add it into Python, and so many of the algorithms and steps you need to really make all of this a reality for your needs. Inside this guidebook, be prepared to take some of the basics of Python and machine learning, and turn yourself into an expert, someone who knows with certainty that all of your decisions are the right ones, and who has data and information to back them all up. Some of the different topics we will discuss in this guidebook to help make this a reality, and to ensure we can learn and make good predictions, includes: -The basics of machine learning and artificial intelligence. -How to work with Python and machine learning to get started with all the options that work with this topic. -How to work with some of the different Python machine learning algorithms out there for you to choose from. -How to work with a model of machine learning and go through the process of having your computer learn on its own. -More examples of how to work with Python and machine learning together. -The importance of working with neural networks and what all of this can mean to your code. -A look at deep learning and data science that can take your machine learning to the next level. -The steps you need to know to get started with data Preprocessing. -A look at where machine learning and more will be able to help lead us to the future. Working with machine learning for Python is an important topic a lot of businesses are diving into now more than ever. They see the value of working with data science, and what this process can do for them in terms of their success and their sound business decisions. When you are ready to learn how to use machine learning for Python for some of your business and data science needs, make sure to take a look at this guidebook to get started.
Machine Learning
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Author : Dan Phillips
language : en
Publisher:
Release Date : 2020-10-26
Machine Learning written by Dan Phillips and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-26 with categories.
Are you an aspirant software developer? Do you start from zero or do you want to expand your knowledge of the incredible world of Machine Learning? Do you want to understand how to take advantage of big data from big tech companies (Google, Facebook and Amazon) to reach your objectives? Then keep reading. Machine learning is the path to the future: the most profitable way to increase your career or business! This book contains detailed information about Machine Learning and its more area of progress and algorithms. The book will help you develop fundamental and advance information in the Artificial Intelligence, Data Science and Machine Learning. Machine learning is among computer science's most rising and money-making areas! This book includes: - Machine Learning Introduction - Why Machine Learning Have Become So Successful? - Machine Learning Utilizations - Applications of Machine Learning - Artificial Intelligence and its Importance - Machine Learning Algorithms Types - Machine Learning Regression Techniques - Random Forests vs Decision Trees - What is an Artificial Neural Network? - Why Should We Use Data Science and How it can help in Business? - Why Python and Data Science Mix Well? - Data Science Statistical Learning - Machine Learning Algorithms for Data Science - How Machine Learning Is Reshaping Marketing? - Solutions for Small Businesses Using Big Data ...and much more!!! Don't wait anymore, press the Buy Now Button and get started!
Machine Learning
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Author : Dan Phillips
language : en
Publisher:
Release Date : 2020-10-16
Machine Learning written by Dan Phillips and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-16 with categories.
Are you an aspirant software developer? Do you start from zero or do you want to expand your knowledge of the incredible world of machine learning?Do you want to understand how to take advantage of big data from big tech companies (Google, Facebook and Amazon) to reach your objectives? Then keep reading. Machine learning is the path to the future: the most profitable way to increase your career or business! This book contains detailed information about Machine Learning and its more area of progress and algorithms. The book will help you develop fundamental and advance information in the Artificial Intelligence, Data Science and Machine Learning. Machine learning is among computer science's most rising and money-making areas! This book includes: - Machine Learning Introduction - Why Machine Learning Have Become So Successful? - Machine Learning Utilizations - Applications of Machine Learning - Artificial Intelligence and its Importance - Machine Learning Algorithms Types - Machine Learning Regression Techniques - Random Forests vs Decision Trees - What is an Artificial Neural Network? - Why Should We Use Data Science and How it can help in Business? - Why Python and Data Science Mix Well? - Data Science Statistical Learning - Machine Learning Algorithms for Data Science - How Machine Learning Is Reshaping Marketing? - Solutions for Small Businesses Using Big Data - ...and much more!!! Don't wait anymore, press the Buy Now Button and get started!
Deep Learning With Python
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Author : Nikhil Ketkar
language : en
Publisher: Apress
Release Date : 2017-04-18
Deep Learning With Python written by Nikhil Ketkar and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-18 with Computers categories.
Discover the practical aspects of implementing deep-learning solutions using the rich Python ecosystem. This book bridges the gap between the academic state-of-the-art and the industry state-of-the-practice by introducing you to deep learning frameworks such as Keras, Theano, and Caffe. The practicalities of these frameworks is often acquired by practitioners by reading source code, manuals, and posting questions on community forums, which tends to be a slow and a painful process. Deep Learning with Python allows you to ramp up to such practical know-how in a short period of time and focus more on the domain, models, and algorithms. This book briefly covers the mathematical prerequisites and fundamentals of deep learning, making this book a good starting point for software developers who want to get started in deep learning. A brief survey of deep learning architectures is also included. Deep Learning with Python also introduces you to key concepts of automatic differentiation and GPU computation which, while not central to deep learning, are critical when it comes to conducting large scale experiments. What You Will Learn Leverage deep learning frameworks in Python namely, Keras, Theano, and Caffe Gain the fundamentals of deep learning with mathematical prerequisites Discover the practical considerations of large scale experiments Take deep learning models to production Who This Book Is For Software developers who want to try out deep learning as a practical solution to a particular problem. Software developers in a data science team who want to take deep learning models developed by data scientists to production.
Artificial Intelligence Business Applications
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Author : Oliver Tensor
language : en
Publisher: Smart Creative Publishing
Release Date : 2020-10-17
Artificial Intelligence Business Applications written by Oliver Tensor and has been published by Smart Creative Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-17 with categories.
Do you want to learn the progress made in the web marketing space and how you can exploit it for your marketing strategies? Do you want to gain an edge over your business's competitors? If you want to know how Artificial Intelligence Technology can give your business a major performance boost, then keep reading. The Fourth Industrial Revolution is upon us, led by the Artificial Intelligence technology and setting the humankind for a global social transformation. The powerful applications of AI have already transformed our daily lives. Tools such as virtual personal and home assistants (like Siri in Apple Pods and Alexa in Amazon Echo) have become everyday usage products. Moreover, our digital lives have inundated organizations with astronomical volumes of data with hidden treasures of valuable insights. This information can be uncovered with the use of big data analytics and applied in combination with the Artificial Intelligence technology to increase your business performance efficiency. Learning to incorporate the Artificial Intelligence applications, Machine Learning, and Big Data Analytics in line with your company's domain can only give your business positive results. Our aim with this book is to provide you a 360 view of the fundamentals and importance of Artificial Intelligence Technology. You Will Learn: The Fundamentals of Artificial Intelligence and Machine Learning Applications, and Why are They so Important in the World Today. Gain an In-depth Understanding of 12 of the Most Popular Artificial Intelligence Tools in the Market, in an Easy to Understand and Colloquial Language. The Science of Big Data and How Companies are Increasingly Employing Good Analytical Tools to Makes Sense of an Estimated 1.7 MB of Data that will be Generated per Second per Person by 2020. What Different Types of Machine Learning Algorithms are and How They Work to Make Machines Able to Learn and Train themselves with Repeated Use. Even if you are a beginner, you will be armed to make sound personal and professional technological choices. Would You Like to Know More? Download Now to get access to Artificial Intelligence power.
Python Deep Learning
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Author : Ivan Vasilev
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-01-16
Python Deep Learning written by Ivan Vasilev and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-16 with Computers categories.
Learn advanced state-of-the-art deep learning techniques and their applications using popular Python libraries Key Features Build a strong foundation in neural networks and deep learning with Python libraries Explore advanced deep learning techniques and their applications across computer vision and NLP Learn how a computer can navigate in complex environments with reinforcement learning Book DescriptionWith the surge in artificial intelligence in applications catering to both business and consumer needs, deep learning is more important than ever for meeting current and future market demands. With this book, you’ll explore deep learning, and learn how to put machine learning to use in your projects. This second edition of Python Deep Learning will get you up to speed with deep learning, deep neural networks, and how to train them with high-performance algorithms and popular Python frameworks. You’ll uncover different neural network architectures, such as convolutional networks, recurrent neural networks, long short-term memory (LSTM) networks, and capsule networks. You’ll also learn how to solve problems in the fields of computer vision, natural language processing (NLP), and speech recognition. You'll study generative model approaches such as variational autoencoders and Generative Adversarial Networks (GANs) to generate images. As you delve into newly evolved areas of reinforcement learning, you’ll gain an understanding of state-of-the-art algorithms that are the main components behind popular games Go, Atari, and Dota. By the end of the book, you will be well-versed with the theory of deep learning along with its real-world applications.What you will learn Grasp the mathematical theory behind neural networks and deep learning processes Investigate and resolve computer vision challenges using convolutional networks and capsule networks Solve generative tasks using variational autoencoders and Generative Adversarial Networks Implement complex NLP tasks using recurrent networks (LSTM and GRU) and attention models Explore reinforcement learning and understand how agents behave in a complex environment Get up to date with applications of deep learning in autonomous vehicles Who this book is for This book is for data science practitioners, machine learning engineers, and those interested in deep learning who have a basic foundation in machine learning and some Python programming experience. A background in mathematics and conceptual understanding of calculus and statistics will help you gain maximum benefit from this book.
The Deep Learning Workshop
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Author : Mirza Rahim Baig
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-07-31
The Deep Learning Workshop written by Mirza Rahim Baig and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-31 with Computers categories.
Take a hands-on approach to understanding deep learning and build smart applications that can recognize images and interpret text Key Features Understand how to implement deep learning with TensorFlow and Keras Learn the fundamentals of computer vision and image recognition Study the architecture of different neural networks Book Description Are you fascinated by how deep learning powers intelligent applications such as self-driving cars, virtual assistants, facial recognition devices, and chatbots to process data and solve complex problems? Whether you are familiar with machine learning or are new to this domain, The Deep Learning Workshop will make it easy for you to understand deep learning with the help of interesting examples and exercises throughout. The book starts by highlighting the relationship between deep learning, machine learning, and artificial intelligence and helps you get comfortable with the TensorFlow 2.0 programming structure using hands-on exercises. You'll understand neural networks, the structure of a perceptron, and how to use TensorFlow to create and train models. The book will then let you explore the fundamentals of computer vision by performing image recognition exercises with convolutional neural networks (CNNs) using Keras. As you advance, you'll be able to make your model more powerful by implementing text embedding and sequencing the data using popular deep learning solutions. Finally, you'll get to grips with bidirectional recurrent neural networks (RNNs) and build generative adversarial networks (GANs) for image synthesis. By the end of this deep learning book, you'll have learned the skills essential for building deep learning models with TensorFlow and Keras. What you will learn Understand how deep learning, machine learning, and artificial intelligence are different Develop multilayer deep neural networks with TensorFlow Implement deep neural networks for multiclass classification using Keras Train CNN models for image recognition Handle sequence data and use it in conjunction with RNNs Build a GAN to generate high-quality synthesized images Who this book is for If you are interested in machine learning and want to create and train deep learning models using TensorFlow and Keras, this workshop is for you. A solid understanding of Python and its packages, along with basic machine learning concepts, will help you to learn the topics quickly.
Python For Data Analysis
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Author : Jason Scratch
language : en
Publisher:
Release Date : 2021-02-14
Python For Data Analysis written by Jason Scratch and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-14 with categories.
55% discount for bookstores! Now at $34,95 instead of 44,95!Are you interested in seeing what machine learning is to be able to help you to get more out of your business?