Over 60 recipes to model and handle real-life biological data using modern libraries from the R ecosystemKey FeaturesApply modern R packages to handle biological data using real-world examplesRepresent biological data with advanced visualizations suitable for research and publicationsHandle real-world problems in bioinformatics such as next-generation sequencing, metagenomics, and automating analysesBook DescriptionHandling b...

Discover over 80 recipes for modeling and handling real-life biological data using modern libraries from the R ecosystemKey FeaturesApply modern R packages to process biological data using real-world examplesRepresent biological data with advanced visualizations and workflows suitable for research and publicationsSolve real-world bioinformatics problems such as transcriptomics, genomics, and phylogeneticsPurchase of the print or Kindle...

Paddling the Yukon River and its Tributaries covers more than 4,000 miles of watery trail. The Yukon, Tanana, Porcupine, Koyukuk, and Kuskokwim Rivers are the five longest rivers in Alaska, extending into the Yukon Territory. This water flows freely, almost entirely undammed. Salmon surge against current. Moose, bears, and wolves wander the banks. Birds swarm in spectacular density. Roads rarely cross. Many residents live a subsistence lifestyle. No permits are required to be here. These c...

If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.You'll understand how to implement the most common scenarios in machine learning, such as computer vision, natural language processing (NLP), and sequence modeling for web, mobile, cloud, and embed...

Build machine and deep learning systems with the newly released TensorFlow 2 and Keras for the lab, production, and mobile devicesKey FeaturesIntroduces and then uses TensorFlow 2 and Keras right from the startTeaches key machine and deep learning techniquesUnderstand the fundamentals of deep learning and machine learning through clear explanations and extensive code samplesBook DescriptionDeep Learning with TensorFlow 2 and ...

Learn to solve challenging data science problems by building powerful machine learning models using PythonAbout This BookUnderstand which algorithms to use in a given context with the help of this exciting recipe-based guideThis practical tutorial tackles real-world computing problems through a rigorous and effective approachBuild state-of-the-art models and develop personalized recommendations to perform machine learning at scal...

Learn the data skills necessary for turning large sequencing datasets into reproducible and robust biological findings. With this practical guide, youâ??ll learn how to use freely available open source tools to extract meaning from large complex biological data sets.At no other point in human history has our ability to understand lifeâ??s complexities been so dependent on our skills to work with and analyze data. This intermediate-level book teaches the general computational and da...

Are you thinking of learning more about Machine Learning using R?The overall aim of this book is to give you an overview of the data science applications using R.Data science is the practice of transforming data into knowledge, and R is the most popular open-source programming language used for data science. In our data-driven economy, this combination of skills is in extremely high demand, commanding significant increases in salary as it's revolutionizing ...

Learn how to model and train advanced neural networks to implement a variety of Computer Vision tasksKey Features\[\*\] Train different kinds of deep learning model from scratch to solve specific problems in Computer Vision\[\*\] Combine the power of Python, Keras, and TensorFlow to build deep learning models for object detection, image classification, similarity learning, image captioning, and more\[\*\] Includes tips on optimizing and improvi...

In the second edition of this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark. The authors bring Spark, statistical methods, and real-world data sets together to teach you how to approach analytics problems by example. Updated for Spark 2.1, this edition acts as an introduction to these techniques and other best practices in Spark programming.You’ll start with an introduction to Spark and its...

Deep learning doesn’t have to be intimidating. Until recently, this machine-learning method required years of study, but with frameworks such as Keras and Tensorflow, software engineers without a background in machine learning can quickly enter the field. With the recipes in this cookbook, you’ll learn how to solve deep-learning problems for classifying and generating text, images, and music.Each chapter consists of several recipes needed to complete a single project, such as train...

Learn advanced state-of-the-art deep learning techniques and their applications using popular Python librariesKey FeaturesBuild a strong foundation in neural networks and deep learning with Python librariesExplore advanced deep learning techniques and their applications across computer vision and NLPLearn how a computer can navigate in complex environments with reinforcement learningBook DescriptionWith the surge in artificia...