Samuel Hack has 5 audiobooks on Listento.it, narrated by 1 narrator, with an average listener rating of 5★ across 1 ratings. The most-rated is Machine Learning Mathematics.
Machine Learning Mathematics
Summary
Master the world of machine learning - even if you’re a complete beginner. Are you an aspiring entrepreneur? Or are you an amateur software developer looking for a break in the world of machine learning? Then this is the book for you. Machine learning is the way of the future - and breaking into this highly lucrative and ever-evolving field is a great way for your career, or business, to prosper. Inside this guide, you’ll find simple, easy-to-follow explanations of the fundamental concepts behind machine learning, from the mathematical and statistical concepts to the programming behind them. With a wide range of comprehensive advice including machine learning models, neural networks, statistics, and much more, this guide is a highly effective tool for mastering this incredible technology. Inside, you will: Learn the fundamental concepts of machine learning algorithms, and their impact in resolving modern day business problems Understand the four fundamental types of machine learning algorithm Master the concept of “statistical learning”, a descriptive statistics-based machine learning algorithm Dive into the development and application of six of the most popular supervised and unsupervised machine learning algorithms, with details on linear regression, logistic regression and more Learn everything you need to know about neural networks and data pipelines Master the concept of “general setting of learning”, a fundamental of machine learning development Overview the basics, importance, and applications of data science with details on the “team data science process” lifecycle And much more! Covering everything you need to know about machine learning, now you can master the mathematics and statistics behind this field and develop your very own neural networks! Whether you want to use machine learning to help your business, or you’re a programmer looking to expand your skills, this book is a must-read for anyone interested in the world of machine learning. Buy now to discover how you can master machine learning today! Scroll up and click the "buy now" button to get your copy!
©2019 Samuel Hack (P)2019 Samuel Hack
Python Machine Learning
Summary
Discover the incredible world of machine learning with this amazing guide. Do you want to understand machine learning, but it all looks too daunting and complex? Afraid to open the "Pandora’s box" and waste hours searching for answers? Then keep reading. Written with the beginner in mind, this powerful guide breaks down everything you need to know about machine learning and Python in a simple, easy-to-understand way. So many other books make machine learning look impossible to understand and even harder to master - but now you can familiarize yourself with this incredible technology like never before! With a detailed and concise overview of the fundamentals, along with the challenges and limitations currently being tackled by the pros, inside this comprehensive guide you will: Learn the fundamentals of machine learning which are being developed and advanced with Python Master the nuances of 12 of the most popular and widely-used machine learning algorithms, in a language that requires no prior background in Python Discover the details of the supervised, unsupervised, and reinforcement algorithms, which serve as the skeleton of hundreds of machine learning algorithms being developed every day Become familiar with data science technology, an umbrella term used for the cutting-edge technologies of today Dive into the functioning of scikit-learn library and develop machine learning models, with a detailed walk-through and open source database using illustrations and actual Python code Understand the entire process of creating neural network models on TensorFlow, using open source data sets and real Python code Uncover the secrets of the most critical aspect of developing a machine learning model - data pre-processing and training/testing subsets And so much more! With a wealth of tips and tricks, along with invaluable advice guaranteed to help you with your machine learning journey, this audiobook is a powerful and revolutionary tool for creating, developing, and using machine learning. From understanding the Python language to creating data sets and building neural networks, now you can become the master of machine learning with this incredible guide! So what are you waiting for? Listen now and join the millions of people using machine learning today!
©2019 Samuel Hack (P)2019 Samuel Hack
Learning Python
Summary
Are you looking to learn more about the world of coding and programming but you are worried that it is going to be too hard and too complicated to get started? Have you been interested in learning how to code but worry that it is too hard and that you won't be able to learn all of the different parts that come together to make a program work? Do you have a great idea for an app or a program that you want to create but you don't know how to make it all work and how to put it together? There are a lot of reasons to learn a new coding language but no matter what reason is behind your motivation, the Python coding language is going to be the platform that you need to make it all happen. This guidebook is going to spend some time looking into the Python coding language, and all of the different things that you are able to do with it. In this guidebook, we are going to explore a lot of the different parts of the Python code and how you can put it all together while learning how to code! Some of the topics that we will discuss inside include: What is Python and why would I want to learn how to work with it? The basics of the Python code and how to get started writing some of our own What it means that Python is an OOP language and how that is going to make a difference in my coding How to write some loops and conditional statements in the Python language What is an exception and how to handle the automatic exceptions in this code while writing some of your own How to work with an inheritance to save some room and make code writing a bit easier How to write some of your own regular expressions and why they are so important to your goals in code writing with Python A look at some of the best Python libraries including Matplotlib and Scikit-Learn and what you are able to do with them when you are working on your codes There is just so much that you will be able to do when you decide to work with the Python coding language. Even if you have never worked with any kind of coding language in the past. Python is definitely going to make things easy to start, and you will be writing some of your own codes in no time. When you are ready to get started with Python and writing some of your own Python codes, even with machine learning in the process make sure to check out this guidebook to help you get started. Get this audiobook now!
©2019 Samuel Hack (P)2019 Samuel Hack
Machine Learning for Beginners
Summary
Do you need a better knowledge of the possibilities existing in the artificial intelligence available today? Do you want to know how big data will shape the future? Do you want to achieve a professional understanding of the most commonly used machine learning models? Machine learning is a branch of artificial intelligence and computer science that’s becoming increasingly relevant in our modern world. It’s a relatively new and progressive way of allowing a computer model to improve over time as it is introduced to more data. With the widespread availability of computers today, most machine learning techniques can be done at home. From the GPS on our phones to the future of self-driving cars, machine learning is becoming more relevant to our lives every day. Every time our email inbox sorts spam email there is a machine learning model involved. When we use voice recognition on our phone neural networks are sorting and analyzing our words. This audiobook will give you the key terms and basic understanding of the fastest-growing field in computer science as well as: A breakdown of machine learning techniques and algorithms; why, and how they are used The tools you will need. Where to find data, what languages work best for machine learning, and what technology is available to help you Practical examples of Machine Learning being used in the modern world The basic statistics and mathematics necessary to understand and interpret data A jumping off point to begin diving into this fascinating technology Even if you aren’t an expert in mathematics or computer programming, you will learn the basics of machine learning from this audiobook. if you are ready to know how machine learning models work, check out now this guidebook to help you get started.
©2019 Samuel Hack (P)2019 Samuel Hack
Machine Learning: 4 Books in 1
Summary
Master the world of Python and machine learning with this incredible four-in-one bundle. Are you interested in becoming a Python pro? Or do you want to learn more about the incredible world of machine learning and what it can do for you? Then pay attention. Created with the beginner in mind, this powerful bundle delves into the fundamentals behind Python and 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 Python and machine learning and begin your journey to success! In audiobook one, Machine Learning for Beginners, 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 audiobook two, Machine Learning Mathematics, 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! In audiobook three, Learning Python, you’ll discover: How to install, run, and understand Python on any operating system A comprehensive introduction to Python Python basics and writing code Writing loops, conditional statements, exceptions, and more Python expressions and the beauty of inheritances And more! And in audiobook four, Python Machine Learning, you will: Learn the fundamentals of machine learning Master the nuances of 12 of the most popular and widely used machine learning algorithms Become familiar with data-science technology Dive into the functioning of scikit-learn library and develop machine learning models
©2019 Samuel Hack (P)2020 Samuel Hack