Learning how to apply unsupervised algorithms on unlabeled datasets from scratch can be easier than you thought with this beginner's workshop, featuring interesting examples and activities Key Features Get familiar with the ecosystem of unsupervised algorithms Learn interesting methods to simplify large amounts of unorganized data Tackle real-world challenges, such as estimating the population density of a geographical area Book DescriptionDo you find it difficult to understand how popular companies like WhatsApp and Amazon find valuable insights from large amounts of unorganized data? The Unsupervised Learning Workshop will give you the confidence to deal with cluttered and unlabeled datasets, using unsupervised algorithms in an easy and interactive manner. The book starts by introducing the most popular clustering algorithms of unsupervised learning. You'll find out how hierarchical clustering differs from k-means, along with understanding how to apply DBSCAN to highly complex and noisy data. Moving ahead, you'll use autoencoders for efficient data encoding. As you progress, you'll use t-SNE models to extract high-dimensional information into a lower dimension for better visualization, in addition to working with topic modeling for implementing natural language processing (NLP). In later chapters, you'll find key relationships between customers and businesses using Market Basket Analysis, before going on to use Hotspot Analysis for estimating the population density of an area. By the end of this book, you'll be equipped with the skills you need to apply unsupervised algorithms on cluttered datasets to find useful patterns and insights. What you will learn Distinguish between hierarchical clustering and the k-means algorithm Understand the process of finding clusters in data Grasp interesting techniques to reduce the size of data Use autoencoders to decode data Extract text from a large collection of documents using topic modeling Create a bag-of-words model using the CountVectorizer Who this book is forIf you are a data scientist who is just getting started and want to learn how to implement machine learning algorithms to build predictive models, then this book is for you. To expedite the learning process, a solid understanding of the Python programming language is recommended, as you'll be editing classes and functions instead of creating them from scratch.

Design clever algorithms that can uncover interesting structures and hidden relationships in unstructured, unlabeled data Key Features Learn how to select the most suitable Python library to solve your problem Compare k-Nearest Neighbor (k-NN) and non-parametric methods and decide when to use them Delve into the applications of neural networks using real-world datasets Book DescriptionUnsupervised learning is a useful and practical solution in situations where labeled data is not available. Applied Unsupervised Learning with Python guides you on the best practices for using unsupervised learning techniques in tandem with Python libraries and extracting meaningful information from unstructured data. The course begins by explaining how basic clustering works to find similar data points in a set. Once you are well versed with the k-means algorithm and how it operates, you'll learn what dimensionality reduction is and where to apply it. As you progress, you'll learn various neural network techniques and how they can improve your model. While studying the applications of unsupervised learning, you will also understand how to mine topics that are trending on Twitter and Facebook and build a news recommendation engine for users. You will complete the course by challenging yourself through various interesting activities such as performing a Market Basket Analysis and identifying relationships between different merchandises. By the end of this course, you will have the skills you need to confidently build your own models using Python. What you will learn Understand the basics and importance of clustering Build k-means, hierarchical, and DBSCAN clustering algorithms from scratch with built-in packages Explore dimensionality reduction and its applications Use scikit-learn (sklearn) to implement and analyse principal component analysis (PCA)on the Iris dataset Employ Keras to build autoencoder models for the CIFAR-10 dataset Apply the Apriori algorithm with machine learning extensions (Mlxtend) to study transaction data Who this book is forThis course is designed for developers, data scientists, and machine learning enthusiasts who are interested in unsupervised learning. Some familiarity with Python programming along with basic knowledge of mathematical concepts including exponents, square roots, means, and medians will be beneficial.

From Genesis to Revelations the Author translates the Promises of God into Powerful, Positive, Faith-filled confessions you can speak into your life and change your world with The Word of God.

From the Wolds of the West, across the Seas of Lorth, came the long elf, Gyral. In wild and unfrequented realms he sought for truth and enlightenment of the mysteries of his world, a treacherous world infested with strange and evil life-forms, ferocious predators, riddled with countless perils. But for Gyral, curiosity was far more powerful than the fears that confronted him. Curiosity was his addiction; knowledge was his quest. He had heard of the great immortal city, the citadel of mystery and foreboding. It was the fabulous infamous city all outsiders feared to enter. Yet the bold wayfarer became obsessed by its existence; thus he sought to find it. On his far journeys, he would confront all evil obstacles, encounter the wizards of science, the wondrous characters, wild and weird communities. He visited the inns and taverns, braved the deep forests, and he relished the damsels. But he knew he must one day find and behold the phenomenon, thence brazenly enter into the citadel of Bilbabalbabul.

America home of the free and land of the brave but is this still true? In the very near future Adam an advocate for human rights finds himself jailed for following the first amendment. Adam finds himself on death row staring at the world through his prison cell because he refuses to stop teaching Christianity. Adam is heralded as a leader and labeled public enemy number one. Armed with a pen and a paper Adam begins to wage war against his intolerant oppressors which places all that support him in immediate danger. Beautiful Ugly: The Cry, The Call, The Coming is a book about freedom and the right to exercise that freedom. Adam is willing to die for his freedom are you willing to live for yours?