04059oam 22004333a 450 991100656910332120240618165317.79781836207450(CaSebORM)9781836207450(CKB)32320645900041(OCoLC)1439597295(OCoLC-P)1439597295(FR-PaCSA)88957664(FRCYB88957664)88957664(EXLCZ)993232064590004120240615d2024 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierDe-Mystifying Math and Stats for Machine Learning /Govind KumarBirmingham Packt Publishing, Limited20241 online resource (63 p.)Description based upon print version of record.Unlock the secrets of math and statistics to elevate your machine learning skills. This comprehensive course covers key concepts, from central tendency to gradient descent, essential for any aspiring data scientist. Key Features Detailed exploration of key mathematical and statistical concepts for Machine Learning. Logical flow from basic to advanced topics for seamless knowledge building. Engaging materials designed to enhance learning and retention. Book Description Beginning with basic concepts like central tendency, dispersion, and types of distribution, this course will help you build a robust understanding of data analysis. It progresses to more advanced topics, including hypothesis testing, outliers, and the intricacies of dependent versus independent variables, ensuring you grasp the statistical tools necessary for data-driven decision-making. Moving ahead, you'll explore the mathematical frameworks crucial for machine learning algorithms. Learn about the significance of percentiles, the distinction between population and sample, and the vital role of precision versus accuracy in data science. Chapters on linear algebra and regression will enhance your ability to implement and interpret complex models, while practical lessons on measuring algorithm accuracy and understanding key machine learning concepts will round out your expertise. The course culminates with an in-depth look at specific machine learning techniques such as decision trees, k-nearest neighbors (kNN), and gradient descent. Each chapter builds on the last, guiding you through a logical progression of knowledge and skills. By the end, you will have not only mastered the theoretical aspects but also gained practical insights into applying these techniques in real-world scenarios. What you will learn Master the fundamentals of central tendency and dispersion. Understand the different types of data distributions. Differentiate between precision and accuracy in data analysis. Conduct hypothesis testing and identify outliers. Apply linear algebra and regression techniques in machine learning. Implement decision trees, kNN, & gradient descent algorithms. Who this book is for This course is designed for technical professionals, data analysts, and aspiring data scientists who are keen to deepen their understanding of the mathematical and statistical principles behind machine learning. Ideal for those with a basic grasp of algebra and statistics, this course will elevate your data analysis capabilities and enhance your proficiency in developing and fine-tuning machine learning models. Familiarity with programming concepts is recommended to fully benefit from the course content.Machine learningMathematicsMachine learningStatisticsArtificial intelligenceData processingMachine learningMathematics.Machine learningStatistics.Artificial intelligenceData processing.006.3/1Kumar Govind1825422OCoLC-POCoLC-P9911006569103321De-Mystifying Math and Stats for Machine Learning4393074UNINA05315nam 22006734a 450 991102004390332120200520144314.0978661031157697812803115741280311576978161344896016134489619780470007259047000725797804700072420470007249(CKB)1000000000355381(EBL)251662(OCoLC)171230386(SSID)ssj0000169247(PQKBManifestationID)11149729(PQKBTitleCode)TC0000169247(PQKBWorkID)10203489(PQKB)10085793(MiAaPQ)EBC251662(Perlego)2761623(EXLCZ)99100000000035538120051102d2006 uy 0engur|n|---|||||txtccrHazardous waste operations and emergency response manual /Brian GallantHoboken, N.J. Wiley-Intersciencec20061 online resource (345 p.)Includes index.9780471684008 0471684007 HAZARDOUS WASTE OPERATIONS AND EMERGENCY RESPONSE MANUAL; CONTENTS; 1 REGULATIONS, AGENCIES, AND RESOURCES; Introduction-History of Employee Health and Safety Regulations; Regulations; The Environmental Protection Agency; Hazardous Waste Numbers; EPA Identification Numbers; Clean Water Act; Clean Air Act; Resource Conservation and Recovery Act (RCRA); Toxic Substance Control Act; Comprehensive Environmental Response Compensation and Liability Act (CERCLA); Superfund Amendment and Reauthorization Act (SARA); Department of Labor-Occupational Safety and Health AdministrationNational Institute for Occupational Safety and Health (NIOSH)Department of Transportation (DOT); National Fire Protection Association (NFPA); NFPA 704 Labeling; Hazard Communication Standard; Hazardous Waste Operations and Emergency Response (HAZWOPER); Hazwoper Training; Incident Command System (ICS); Resources; Material Safety Data Sheets (MSDS); NIOSH Pocket Guide to Chemical Hazards; Emergency Response Guidebook; Summary; 2 HAZARD CLASSIFICATION; Chemical Exposure; Explosion and Fire; Oxygen Deficiency; Ionizing Radiation; Biological Hazards; General Safety Hazards; Electrical HazardsHeat StressCold Exposure; Noise; Poisonous Snakes, Insects, and Plants; Weather; Heavy Equipment; Tools; Definition of Hazardous Materials vs. Hazardous Waste; Classification of Hazardous Materials; Physical Properties of Hazardous Materials; Vapor Density and Specific Gravity; Flammability; Explosive Limits; Flash Point; Flammable Solids; Firefighting and Fire Prevention; Portable Fire Extinguishers; Toxic Products of Combustion; Corrosives; Acids; Alkalis; Reactivity of Some Common Elements; Water-Reactive Materials; Oxidizing Materials; Boiling Liquid Expanding Vapor Explosion (BLEVE)Flammable and Combustible LiquidSummary; 3 SITE SAFETY PLAN; The Plan; Emergencies; Incident Characterization; Remedial Actions; Safety Plan Development; Routine Operations; Describe the Known Hazards and Risks; List Key Personnel and Alternates; Designate Levels of Protection to be Worn; Delineate Work Areas; List Control Procedures; Establish Decontamination Procedures; Address Requirements for an Environmental Surveillance Program; Specify Any Routine and/or Special Training Required; Establish Procedures for Weather-Related Problems; On Site EmergenciesEstablish Site Emergency ProceduresAddress Emergency Medical Care; Implementation of the Site Safety Plan; Typical Safety Plan Outline; Responsibilities; Client; Engineering Firm; Site Contractors; Consulting Firm / Site Safety Officer (SSO); Summary; 4 SITE CHARACTERIZATION; Offsite Characterization; Interview/Records Research; Perimeter Investigation; Protection of Site Entry Workforce; Onsite Survey; Continuing the Survey; Information Documentation; Hazard Assessment; Threshold Limit Values; Permissible Exposure Limit; Recommended Exposure Limit; IDLH ConcentrationsPotential Skin Absorption and IrritationField technicians and emergency response personnel are often faced with the dangers of flammable, combustible, and chemically unstable materials. Although there are numerous procedures set forth by regulatory agencies like the Occupational Safety and Health Administration (OSHA), the Environmental Protection Agency (EPA), and the National Institute for Occupational Safety and Health (NIOSH) for effectively and safely dealing with such environmental hazards, up until now there has been no single resource for training in this area.Based on the author's twenty-plus years of field experienHazardous wastesPurificationHazardous wastesManagementHazardous wastesPurification.Hazardous wastesManagement.628.4/2Gallant Brian1840618MiAaPQMiAaPQMiAaPQBOOK9911020043903321Hazardous waste operations and emergency response manual4420210UNINA