Machine Learning For Programmers
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Programming Machine Learning
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Author : Paolo Perrotta
language : en
Publisher: The Pragmatic Programmers LLC
Release Date : 2020-03-31
Programming Machine Learning written by Paolo Perrotta and has been published by The Pragmatic Programmers LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-31 with Computers categories.
You've decided to tackle machine learning - because you're job hunting, embarking on a new project, or just think self-driving cars are cool. But where to start? It's easy to be intimidated, even as a software developer. The good news is that it doesn't have to be that hard. Master machine learning by writing code one line at a time, from simple learning programs all the way to a true deep learning system. Tackle the hard topics by breaking them down so they're easier to understand, and build your confidence by getting your hands dirty. Peel away the obscurities of machine learning, starting from scratch and going all the way to deep learning. Machine learning can be intimidating, with its reliance on math and algorithms that most programmers don't encounter in their regular work. Take a hands-on approach, writing the Python code yourself, without any libraries to obscure what's really going on. Iterate on your design, and add layers of complexity as you go. Build an image recognition application from scratch with supervised learning. Predict the future with linear regression. Dive into gradient descent, a fundamental algorithm that drives most of machine learning. Create perceptrons to classify data. Build neural networks to tackle more complex and sophisticated data sets. Train and refine those networks with backpropagation and batching. Layer the neural networks, eliminate overfitting, and add convolution to transform your neural network into a true deep learning system. Start from the beginning and code your way to machine learning mastery. What You Need: The examples in this book are written in Python, but don't worry if you don't know this language: you'll pick up all the Python you need very quickly. Apart from that, you'll only need your computer, and your code-adept brain.
Machine Learning For Programmers
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Author : Booker Blunt
language : en
Publisher: Independently Published
Release Date : 2025-06-28
Machine Learning For Programmers written by Booker Blunt and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-28 with Computers categories.
Build Smarter Software with Machine Learning-Without Starting from Zero If you're a programmer who wants to break into artificial intelligence, Machine Learning for Programmers is your fast track. This book skips the math-heavy theory and goes straight into building intelligent, real-world applications using Python. Designed for developers, not data scientists, this guide focuses on practical implementation: loading data, training models, testing predictions, and deploying ML systems using tools you already know-like Python, scikit-learn, and TensorFlow. What You'll Learn: Core ML concepts made simple for coders How to build classification, regression, and clustering models Real-world projects: spam filters, recommendation engines, and more Step-by-step tutorials using Python and popular ML libraries Data preparation and feature engineering explained clearly Hyperparameter tuning, model evaluation, and cross-validation The basics of neural networks and deep learning How to deploy models into live applications and services Best practices for clean, testable, production-ready ML code You don't need a PhD to get started-just Python skills and a problem to solve. Code smarter. Think in models. Build the future.
Deep Learning For Coders With Fastai And Pytorch
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Author : Jeremy Howard
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2020-06-29
Deep Learning For Coders With Fastai And Pytorch written by Jeremy Howard and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-29 with Computers categories.
Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala
Computer Programming
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Author : Daniel Géron
language : en
Publisher: Daniel Geron
Release Date : 2021-02-24
Computer Programming written by Daniel Géron and has been published by Daniel Geron this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-24 with categories.
Do want to learn how machine learning and neural networks work quickly and simply? Do you want to know how to build a machine learning model and you have no programming skill? Do you know a bit of Python coding and want to learn more about how this deep learning works? This bundle is going to guide you to the basics and the principles behind machine learning. Machine learning is an active research domain and includes several different approaches. This bundle is going to help you understand the different approaches of machine learning and neural networks. It will guide you through the steps you need to build a machine learning model. This bundle is intended to address all these questions. In fact, the aim of this book is providing the absolute beginners or other programmers that has no experience with Python programming the basic and fundamental tools of the Python language. Through this bundle, you will learn: - Principles of machine learning - Types of machine learning: supervised, unsupervised, semi-supervised, and reinforcement learning - Advantages of each type of machine learning - Principle and types of neural networks - Steps to develop and fit artificial neural network model - Getting started and installing Python - Tools and platforms for Python programming - How to use pandas, NumPy and matplotlib Python libraries - How to develop a simple linear and logistic machine learning model - How to develop and train a multi-layer artificial neural network two ways: from scratch and using the Python libraries - When to use each type of machine learning - The general concept of artificial neural networks - Activation function in artificial neural network and to choose an activation function within an artificial neural network - The 5 main types of artificial neural network - The best function to be used to train artificial neural networks. - the 2 main concepts to know in the training process of the artificial neural network - the main variants and algorithms for the formation of an artificial neural network and a machine learning model in general. - The basics of the three main Python languages that will help you get the work done-including TensorFlow, Keras, and PyTorch; - How to install the three Python libraries to help you get started; How to install and use magic command in Ipython Functionalities of NumPy library for numerical programming Functionalities of Pandas library for data analysis Even if you don't have any background in machine learning and Python programming, this book will give you the tools to develop machine learning models.
Machine Learning
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Author : Joseph Mining
language : en
Publisher:
Release Date : 2021-01-25
Machine Learning written by Joseph Mining and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-25 with categories.
The world of technology is able to capture the imagination. There are so many great possibilities out there. From voice recognition to facial recognition to all of the different types of gadgets and software out there, it seems like technology is not going to slow down any time soon. Even with all of the cool things that we already have at our disposal, it is possible that in even a few years, there will be even more that we can do with this amazing technology that we are not able to do now. And much of it is due to machine learning. This guidebook is going to take some time to explore machine learning, and what it is all about. There are so many different aspects of machine learning and how to make it work for your needs, and all of it is found in this guidebook. Some of the different topics that you will be able to learn about inside include: What is machine learning, and why would a programmer want to learn how to use it? Is artificial intelligence the same as working with machine learning? How to work with statistics and probability in order to understand more about machine learning. Learning some of the building blocks that will ensure your success with machine learning. Some of the machine learning algorithms that you can use on your own projects. The difference between supervised, unsupervised and reinforcement learning. Machine learning is making some big changes in the world of technology. And as more programmers start to learn about it and how to use it, the possibilities are going to keep growing. When you are ready to learn more about what machine learning is all about, and how you are able to benefit from it in your own coding and programming, make sure to check out this guidebook to help you get started. Scroll to the top of the page and select the buy now button!
Machine Learning With Python
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Author : Matt Algore
language : en
Publisher:
Release Date : 2021-01-07
Machine Learning With Python written by Matt Algore and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-07 with Computers categories.
Machine learning is rapidly changing the world, from diverse types of applications and research pursued in industry and academia. Machine learning is affecting every part of your daily life. From voice assistants using NLP and machine learning to make appointments, check your calendar, and play music, to programmatic advertisements - that are so accurate that they can predict what you will need before you even think of it. Powerful, isn't it? Do you want to do machine learning using Python, but you're having trouble getting started? Then this Complete Python Handbook will teach you every single info you need to know about this popular and powerful interpreted language. In this Step by Step Tutorial you will: - Learn Exactly How Phyton Works and why its functionalities are so advantageous compared with any other programming language - Realize How Python is The Ideal Programming Language for Querying Data and Retrieving Valuable Insights to always be able to find what you are looking for in the easiest possible way. - Have the Chance to Practice What You Learn thanks to the exercises you find inside this Manual so that you are always sure you are doing the right thing in the right way. - Discover, Even if You Use Python As a Beginner, Practical Ways to Build Your Machine Learning Solutions. With all the data available today, machine learning applications are limited only by your imagination. - Have in Your Hands Several Possibilities for Both High and Low-Level Web Development to create websites and web applications for any kind of business - ... & Lot More! Stop being afraid of all those difficult and tricky programming languages, now you can start learning or improve your knowledge of this incredible and super easy to understand programming language. This Machine Learning With Python Tutorial is designed for software programmers and beginners who need to learn Python programming language from scratch. Python is chosen by the best in the world, companies like Google, Facebook, or Microsoft, and it's growing very fast. Developers love its features. Eager to know why? Order Your Copy Now And Start Coding Your Best Project Ever!
Machine Learning Programming
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Author : Samuel Hack
language : en
Publisher:
Release Date : 2019-11-09
Machine Learning Programming written by Samuel Hack and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-09 with categories.
Master the world of Machine Learning with this incredible 2-in-1 bundle. Do you want to learn more about the incredible world of Machine Learning, and what it can do for you? Then keep reading. Created with the beginner in mind, this powerful bundle delves into the fundamentals behind Machine Learning, from basic code and mathematical formulas to complex neural networks and ensemble modeling. Inside, you'll discover everything you need to know to get started with machine learning, and begin your journey to success! In book one, you'll learn: What is Artificial Intelligence Really, and Why is it So Powerful? Choosing the Right Kind of Machine Learning Model for You An Introduction to Statistics Reinforcement Learning and Ensemble Modeling "Random Forests" and Decision Trees And Much More! In book two, you will: Learn the Fundamental Concepts of Machine Learning Algorithms Understand The Four Fundamental Types of Machine Learning Algorithm Master the Concept of "Statistical Learning Learn Everything You Need to Know about Neural Networks and Data Pipelines Master the Concept of "General Setting of Learning" And Much More! Whether you're a complete beginner or a programmer looking to improve your skillset, this bundle is your all-in-one solution to mastering the world of machine learning. So don't wait - it's never been easier to learn. Buy now to become a master of Machine Learning Today! Scroll Up and Click the BUY NOW Button to Get Your Copy!
Machine Learning Algorithms Using Python Programming
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Author : Gopal Sakarkar
language : en
Publisher:
Release Date : 2021
Machine Learning Algorithms Using Python Programming written by Gopal Sakarkar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with Computers categories.
"The machine learning field is concerned with the question of how to create computer programs that automatically improve information. In recent years, many successful electronic learning applications have been made, from data mining systems that learn to detect fraudulent credit card transactions, filtering programs that learn user readings, to private cars that learn to drive on public highways. At the same time, there have been significant developments in the concepts and algorithms that form the basis for this field. Machine learning is programming computers to optimize a performance criterion using example data or past experience. The goal of this textbook is to present the key concepts of Machine Learning which includes Python concepts and Interpreter, Foundation of Machine Learning, Data Pre-processing, Supervised Machine Learning, Unsupervised Machine Learning, Reinforcement Learning, Kernel Machine, Design and analysis of Machine Learning experiment and Data visualization. The theoretical concepts along with coding implementation are covered. This book aims to pursue a middle ground between a theoretical textbook and one that focuses on applications. The book concentrates on the important ideas in machine learning"--
Data Science For Beginners
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Author : Andrew Park
language : en
Publisher:
Release Date : 2021-02-09
Data Science For Beginners written by Andrew Park and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-09 with categories.
★ 55% OFF for Bookstores! Now at $49.95 instead of $59.95! ★ Your Customers Will Never Stop To Use This Complete Guide! Did you know that according to Harvard Business Review the Data Scientist is the sexiest job of the 21st century? And for a reason! If "sexy" means having rare qualities that are much in demand, data scientists are already there. They are expensive to hire and, given the very competitive market for their services, difficult to retain. There simply aren't a lot of people with their combination of scientific background and computational and analytical skills. Data Science is all about transforming data into business value using math and algorithms. And needless to say, Python is the must-know programming language of the 21st century. If you are interested in coding and Data Science, then you must know Python to succeed in these industries! Data Science for Beginners is the perfect place to start learning everything you need to succeed. Contained within these four essential books are the methods, concepts, and important practical examples to help build your foundation for excelling at the discipline that is shaping the modern word. This bundle is perfect for programmers, software engineers, project managers and those who just want to keep up with technology. With these books in your hands, you will: ● Learn Python from scratch including the basic operations, how to install it, data structures and functions, and conditional loops ● Build upon the fundamentals with advanced techniques like Object-Oriented Programming (OOP), Inheritance, and Polymorphism ● Discover the importance of Data Science and how to use it in real-world situations ● Learn the 5 steps of Data Analysis so you can comprehend and analyze data sitting right in front of you ● Increase your income by learning a new, valuable skill that only a select handful of people take the time to learn ● Discover how companies can improve their business through practical examples and explanations ● And Much More! This bundle is essential for anyone who wants to study Data Science and learn how the world is moving to an open-source platform. Whether you are a software engineer or a project manager, jump to the next level by developing a data-driven approach and learning how to define a data-driven vision of your business! Order Your Copy of the Bundle and Let Your Customers Start Their New Career Path Today!
Machine Learning With Python
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Author : Jason Test
language : en
Publisher:
Release Date : 2020-11-06
Machine Learning With Python written by Jason Test and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-06 with Computers categories.
Are you looking for a super-fast computer programming course? Would you like to learn the Python Programming Language and machine learning in 7 days? Do you want to increase your online business thanks to the web applications? If so, keep reading: this bundle book is for you! Finally on launch the most complete Python guide with 2 Manuscripts in 1 book 1-Python for beginners 2-Python for Data Science Python will introduce you many selected practices for coding . You will discover as a beginner the world of data science, machine learning and artificial intelligence. I'd like to say that Machine Learning with Python can be complicated, and the whole concept of Data Analysis can be daunting to starters. You have to take time and study the whole concept before you start to be proficiency. But this book will be your guide: the following list is just a tiny fraction of what you will learn in this collection bundle. 1) Python for beginners ✓ The basics of Python programming ✓ Differences among programming languages ✓ Vba, SQL, R, Python ✓ Game creation with Pyhton ✓ Easy-to-follow steps for reading and writing codes. ✓ Control flow statements and Error handling ✓ 3 best strategies with NumPy, Pandas, Matplotlib 2) Python for Data science ◆ 3 reasons why Python is fundamental for Data Science ◆ Python design patterns ◆ How to use Python Data Analysis in your business ◆ Data visualization optimal tools and techniques ◆ Analysis of popular Python projects templates ◆ How to set up the Python environment for Data Science ◆ 5 Most important Machine Learning Algorithms ◆ How to leverage Data Science in the Cloud Even if you have never written a programming code before, you will quickly grasp the basics thanks to visual charts and guidelines for coding. Examples and step-by-step guides will guide you during the code-writing learning process. The description of each topic is crystal-clear and you can easily practice with related exercises and Predictive modelling concepts are explained in simple terms You will also learn 3 best tricks of writing codes. If you really wish to to learn Python and master its language, please click the BUY NOW button.