Machine Learning for Financial Risk Management with Python

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Financial and Managerial Accounting, Fourth Edition provides students with a clear introduction to fundamental accounting concepts by introducing them to the building blocks of the accounting cycle and then moving on to financial statements.This course is ideal for a two-semester Financial and Managerial Accounting sequence where students spend equal time learning financial and managerial accounting concepts and learn the accounting cycle from a corporate perspective.

If you are a Python programmer who wants to get started with performing data analysis using pandas and Python, this is the book for you. Some experience with statistical analysis would be helpful but

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Strategic thinking has become a core competency for business leaders globally. Overused and under-defined, the term is often used interchangeably with?strategic management. This textbook delineates an

Strategic thinking has become a core competency for business leaders globally. Overused and under-defined, the term is often used interchangeably with?strategic management. This textbook delineates an

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Stocks for the Long Run set a precedent as the most complete and irrefutable case for stock market investment ever written. Now, this bible for long-term investing continues its tradition with a fourth edition featuring updated, revised, and new material that will keep you competitive in the global market and up-to-date on the latest index instruments.Wharton School professor Jeremy Siegel provides a potent mix of new evidence, research, and analysis supporting his key strategies for amassing a solid portfolio with enhanced returns and reduced risk. In a seamless narrative that incorporates the historical record of the markets with the realities of today's investing environment, the fourth edition features:A new chapter on globalization that documents how the emerging world will soon overtake the developed world and how it impacts the global economy An extended chapter on indexing that includes fundamentally weighted indexes, which have historically offered better returns and lower vol

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A hands-on, code-based guide to leveraging Julia in a variety of scientific and data-driven scenarios Key Features: Augment your basic computing skills with an in-depth introduction to JuliaFocus on topic-based approaches to scientific problems and visualisationBuild on prior knowledge of programming languages such as Python, R, or C/C++Purchase of the print or Kindle book includes a free PDF eBook Book Description: Julia is a well-constructed programming language which was designed for fast execution speed by using just-in-time LLVM compilation techniques, thus eliminating the classic problem of performing analysis in one language and translating it for performance in a second.This book is a primer on Julia's approach to a wide variety of topics such as scientific computing, statistics, machine learning, simulation, graphics, and distributed computing.Starting off with a refresher on installing and running Julia on different platforms, you'll quickly get to grips with the core concept

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This book is a major new introductory survey of financial accounting, management accounting and financial management for non-specialist students, mainly business courses at both the undergraduate and

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Implement real-time data processing applications on the Raspberry Pi. This book uniquely helps you work with data science concepts as part of real-time applications using the Raspberry Pi as a localized cloud. You'll start with a brief introduction to data science followed by a dedicated look at the fundamental concepts of Python programming. Here you'll install the software needed for Python programming on the Pi, and then review the various data types and modules available. The next steps are to set up your Pis for gathering real-time data and incorporate the basic operations of data science related to real-time applications. You'll then combine all these new skills to work with machine learning concepts that will enable your Raspberry Pi to learn from the data it gathers. Case studies round out the book to give you an idea of the range of domains where these concepts can be applied. By the end of Data Science with the Raspberry Pi, you'll understand that many applications are now de