“…What you will learn Harness Snowpark with Python for diverse workloads Develop robust data pipelines with Snowpark using Python Deploy mature machine learning models Explore the process of developing, deploying, and monetizing native apps using Snowpark Deploy and operate containers in Snowpark Discover the pathway to adopting Snowpark effectively in production Who this book is for This book is for data engineers, data scientists, developers, and data practitioners seeking an in-depth understanding of Snowpark's features and best practices for deploying various workloads in Snowpark using the Python programming language. …”

“…What you will learn Understand the fundamental concepts of vectors and matrices Implement principal component analysis in data reduction Analyze the role of linear algebra in machine learning Enhance problem-solving skills through practical applications Gain the ability to interpret and manipulate high-dimensional data Build confidence in using linear algebra for data science projects Who this book is for This course is ideal for technical professionals, data scientists, aspiring machine learning engineers, and students of computer science or related fields. …”

“…Yet it has lasted several years until the Internet has gained reputation as a publication medium for scientists. This development is accompanied by an increasing concentration on the side of scientific publishers, which has lead for some disciplines to almost monopolistic situations. …”

“…What you will learn Learn various neural network architectures and its advancements in AI Master deep learning in Python by building and training neural network Master neural networks for regression and classification Discover convolutional neural networks for image recognition Learn sentiment analysis on textual data using Long Short-Term Memory Build and train a highly accurate facial recognition security system Who this book is for This book is a perfect match for data scientists, machine learning engineers, and deep learning enthusiasts who wish to create practical neural network projects in Python. …”

“…Botanist Auguste Prouvensal de Saint-Hilaire landed in Brazil with the delegation of the Duc de Luxembourg in December, 1816, when this country was first opening more widely to foreign scientists and artists. He returned to France six years later having gathered significant natural history collections (of plants, animals, and minerals) and a great deal of information on the region’s history, physical geography, and uses of its natural products. …”

“…This Research Topic aims at improving this aspect by putting around the same virtual table scientists covering aspects ranging from basic molecular mechanisms of regulatory RNAs in the nervous system to the analysis of the role of specific regulatory RNAs in neurobiological processes of development, plasticity and aging. …”

“…This Research Topic accepts contributions in all frontiers article type categories and places an emphasis on topics with a multidisciplinary perspective that explore (while not being limited to) statistical genetics for forensic scientists, case studies and reports, evaluation and interpretation of forensic findings, communication of expert findings to laypersons, quantitative legal reasoning and fact-finding using probability…”

“…This CERMOC book is the result of a one-and-a-half-year collective research program led by a team of sociologists, political scientists, anthropologists, geographers and historians led by Agnès Favier. …”

“…Community training, social work studies, scientist’s work and management school are the contexts chosen to clarify stereotypes and the discrimination along the lifespan for women. …”

“…This Research Topic hopes to provide an opportunity to share ideas across areas (human and animal researchers, clinicians and basic scientists). We are particularly interested in papers that address issues of choosing a protocol (intensity, frequency, location, coil geometry etc.), populations where noninvasive brain stimulation may have direct impact on diagnostics and treatment, as well as the safety and ethics of applying these techniques in pediatric populations. …”

“…The objective of this Research Topic is to present insights obtained from both basic and clinical scientists, which may include studies related to the identification, validation, refinement and clinical implementation of biomarkers for drug-induced hypersensitivity. …”

“…Key themes: malaria, South Asia, resurgence, eradication, medical geography Rais Akhtar is CSIR Emeritus Scientist at the Centre for the Study of Regional Development, Jawaharlal Nehru University, New Delhi. …”

“…Matthias von Davier is a Senior Research Scientist in the Research & Development Division at Educational Testing Service. …”

“…This Research Topic aims at improving this aspect by putting around the same virtual table scientists covering aspects ranging from basic molecular mechanisms of regulatory RNAs in the nervous system to the analysis of the role of specific regulatory RNAs in neurobiological processes of development, plasticity and aging. …”

“…This is the group that bore the brunt of adaptation to the jet age: Boeing, CurtissWright, Douglas, Fairchild, General Dynamics, Grumman, Lockheed, martin, McDonnell, North American Northrop, and Republic.Central to the story are the reasons for America’s leadership in the jet age: enterprising business managers, scientists, and engineers; the pressure of economics; and manifold competition brought on by economics; and manifold competition brought on by the cold war. …”

“…What you will learn Understand what makes time series data different from other data Apply various imputation and interpolation strategies for missing data Implement different models for univariate and multivariate time series Use different deep learning libraries such as TensorFlow, Keras, and PyTorch Plot interactive time series visualizations using hvPlot Explore state-space models and the unobserved components model (UCM) Detect anomalies using statistical and machine learning methods Forecast complex time series with multiple seasonal patterns Who this book is for This book is for data analysts, business analysts, data scientists, data engineers, or Python developers who want practical Python recipes for time series analysis and forecasting techniques. …”

“…He is currently working/training as a commercial scientist astronaut. Skill Level All Levels What You Will Learn Deploy Exchange Server 2016 Migrate from Exchange Server 2013 to Exchange 2016 Create a hybrid Exchange Server deployment using Office 365 Migrate mailbox data to the cloud Take advantage of built in search and compliance tools Troubleshoot mail flow and performance issues Who Should Take This Course Exchange Server administrators who want to learn about Exchange Server 2016 A secondary audience is probably those who want to host their corporate e-mail on Office 365. …”

“…What you will learn Understand the underlying problems of building a strong data science pipeline Explore the different tools for building and deploying data science solutions Hire, grow, and sustain a data science team Manage data science projects through all stages, from prototype to production Learn how to use ModelOps to improve your data science pipelines Get up to speed with the model testing techniques used in both development and production stages Who this book is for This book is for data scientists, analysts, and program managers who want to use data science for business productivity by incorporating data science workflows efficiently. …”

“…What you will learn Build machine learning and deep learning systems with TensorFlow 2 and the Keras API Use Regression analysis, the most popular approach to machine learning Understand ConvNets (convolutional neural networks) and how they are essential for deep learning systems such as image classifiers Use GANs (generative adversarial networks) to create new data that fits with existing patterns Discover RNNs (recurrent neural networks) that can process sequences of input intelligently, using one part of a sequence to correctly interpret another Apply deep learning to natural human language and interpret natural language texts to produce an appropriate response Train your models on the cloud and put TF to work in real environments Explore how Google tools can automate simple ML workflows without the need for complex modeling Who this book is for This book is for Python developers and data scientists who want to build machine learning and deep learning systems with TensorFlow. …”