“…The author first reviews the impetus behind SOE mixed-ownership reforms and discusses how modern property rights theory and decentralized control theory perform as the theoretical underpinnings of the reforms. …”

“…Critically examining the "do it yourself" character of refugee aid practices performed by non-professionals coming together to help in informal and spontaneous manners, the volume considers the extent to which these new humanitarian practices challenge established conceptualisations of membership, belonging, and active citizenship. …”

“…The book then discusses how technological information is acquired by the R & D organization, shows how critical technical communication within the laboratory is for R & D performance, and originates the idea of the "gatekeeper," the person who links his or her organization to the world at large. …”

“…Learning machines often perform well in a wide range of applications and have nice theoretical properties without requiring any parametric statistical assumption about the source of data (unlike traditional statistical techniques). …”

“…Sharing the perspective of a new generation of cultural studies writers keen to retain the political impulse of the field's origins, the author highlights the diverse modes of performance that accompany and assist contemporary scholarly practice. …”

“…In his focus on improvisation, psychodrama, and a new approach to scripting, Murphy provides a new history of American indie filmmaking and how it challenged Hollywood industrial practices and performance styles…”

“…Drawing insights from leading scholars in classics, philosophy, religion, literature, history, and the visual and performing arts, this book considers how diverse exemplars and a wide range of disciplinary ways of knowing can illuminate complex aspects of leadership that are often obscured in a leadership discourse typically centered on business and politics. …”

“…Drawing from her analysis and ethnographic examples Dogiama argues that hunting was not merely an alternate subsistence strategy but an arena where symbolic expression and social identities could be performed and negotiated" -- Contracubierta…”

“…For example, it argues for a deeper understanding of acquisitions beyond their impacts on the financial performance of firms to consider additional outcomes. …”

“…From the basics of materials selection through building services and ventilation strategies to guidance on post-occupancy evaluation and benchmarking performance, "Sustainable Construction" is a master-class in practical, sustainable design encompassing cost, environmental and social issues. …”

“…Optimize your system to reduce cost and increase performance. Develop an architecture that makes your software robust in resource-constrained environments. …”

“…Domain 1: Data Engineering 1.0 course intro 1.1 technology prerequisite 1.2 sagemaker studio lab 1.3 learn aws cloudshell 1.4 cloud developer workspace advantage 1.5 prototyping ai apis aws cloudshell bash 1.6 cloud9 with codewhisperer 1.7 domain one intro 1.8 data storage 1.9 determine storage medium 1.10 using s3 demo 1.11 job styles batch vs streaming 1.12 data ingestion pipelines 1.13 aws batch demo 1.14 step function demo Domain 2: Exploratory Data Analysis 2.0 domain intro Sanitize and prepare data for modeling 2.1 cleanup data 2.2 scaling data 2.3 labeling data 2.4 mechanical turk labeling Perform feature engineering 2.5 identify extract features 2.6 feature engineering concepts Analyze and visualize data for machine learning 2.7 graphing data 2.9 clustering Conclusion 2.10 conclusion Domain 3: Modeling 3.0 domain intro Frame business problems as machine learning problems 3.1 when to use ml 3.2 supervised vs unsupervized 3.3 selection right ml solution Select the appropriate model(s) for a given machine learning problem 3.4 select models 3.5 sagemaker canvas demo Train machine learning models 3.6 train test split 3.7 optimization 3.8 compute choice Perform hyperparameter optimization 3.14 neural network architecture Evaluate machine learning models 3.18 overfitting vs underfitting 3.19 selecting metrics 3.22 compare models experiment tracking Conclusion 3.23 Conclusion Domain 4: Machine Learning Implementation and Operations 4.0 course intro Build machine learning solutions for performance, availability, scalability, resiliency, and fault 4.1 logging monitoring 4.2 multiple regions 4.3 reproducible workflow 4.4 aws flavored devops Recommend and implement the appropriate machine learning services and features for a given 4.5 provisioning ec2 4.5 compute choices 4.6 provisioning ebs 4.7 aws ai ml services Apply basic AWS security practices to machine learning solutions. 4.9 plp aws lambda 4.10 integrated security Deploy and operationalize machine learning solutions 4.13 sagemaker workflow 4.14 doing predictions with sagemaker canvas 4.16 retrain models Conclusion 5.0 course conclusion Topics Covered Include: Domain 1: Data Engineering Domain 2: Exploratory Data Analysis Domain 3: Modeling Domain 4: Machine Learning Implementation and Operations Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ 900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! …”

“…Part 2 covers the .NET APIs, for performing tasks like managing and querying data, monitoring and improving performance, and working with the file system, async streams, serialization, and encryption. …”

“…You’ll also cover the different tracers and profilers that are available for Linux so that you can quickly pinpoint any performance bottlenecks in your system. By the end of this Linux book, you’ll be able to create efficient and secure embedded devices using Linux.What you will learnUse Buildroot and the Yocto Project to create embedded Linux systemsTroubleshoot BitBake build failures and streamline your Yocto development workflowUpdate IoT devices securely in the field using Mender or balenaPrototype peripheral additions by reading schematics, modifying device trees, soldering breakout boards, and probing pins with a logic analyzerInteract with hardware without having to write kernel device driversDivide your system up into services supervised by BusyBox runitDebug devices remotely using GDB and measure the performance of systems using tools such as perf, ftrace, eBPF, and CallgrindWho this book is forIf you’re a systems software engineer or system administrator who wants to learn how to implement Linux on embedded devices, then this book is for you. …”

“…Finally, you'll explore the integration of BigQuery ML with other Google Cloud Platform components such as AI Platform Notebooks and TensorFlow along with discovering best practices and tips and tricks for hyperparameter tuning and performance enhancement. By the end of this BigQuery book, you'll be able to build and evaluate your own ML models with BigQuery ML.What you will learn* Discover how to prepare datasets to build an effective ML model* Forecast business KPIs by leveraging various ML models and BigQuery ML* Build and train a recommendation engine to suggest the best products for your customers using BigQuery ML* Develop, train, and share a BigQuery ML model from previous parts with AI Platform Notebooks* Find out how to invoke a trained TensorFlow model directly from BigQuery* Get to grips with BigQuery ML best practices to maximize your ML performanceWho this book is forThis book is for data scientists, data analysts, data engineers, and anyone looking to get started with Google's BigQuery ML. …”

“…Databases have unique demands for performance and reliability, and this book addresses those qualities with discussions on protecting, persisting, and distributing data. …”

“…Get insights and guidance on various challenges within the industry and what business levers you can consider to effortlessly lead your business transformation through RISE with SAP Purchase of the print or Kindle book includes a free PDF eBook Key Features Gain actionable insights into end-to-end process performance with process analytics Scale performance and reliability to accelerate your journey to the cloud and beyond Get a clear overview of the enabling tools and services you can leverage for the transformation Book Description If you're unsure whether adopting SAP S/4HANA is the right move for your enterprise, then this book is for you. …”

“…Powerful Bundled Software 25. Blazing Fast Performance 26. The Value Question 27. Switching Is Easy 28. …”

“…By the end, you will be proficient in translating ML model predictions into a trading strategy that operates at daily or intraday horizons, and in evaluating its performance.What you will learnLeverage market, fundamental, and alternative text and image dataResearch and evaluate alpha factors using statistics, Alphalens, and SHAP valuesImplement machine learning techniques to solve investment and trading problemsBacktest and evaluate trading strategies based on machine learning using Zipline and BacktraderOptimize portfolio risk and performance analysis using pandas, NumPy, and pyfolioCreate a pairs trading strategy based on cointegration for US equities and ETFsTrain a gradient boosting model to predict intraday returns using AlgoSeek s high-quality trades and "es dataWho this book is forIf you are a data analyst, data scientist, Python developer, investment analyst, or portfolio manager interested in getting hands-on machine learning knowledge for trading, this book is for you. …”

“…By the end of this data engineering book, you'll have developed the skills to perform core data engineering tasks and build efficient ETL data pipelines with GCP. …”