E-Commerce

You already know that TikTok is HUGE and it’s going to get even bigger…

By picking up this book, you’ll be taking the first step into learning how to carve off just a slice of this ENORMOUS pie to begin making a significantly positive change in your marketing and your wider life.

TikTok Marketing Secrets is a guide written solely to help brands, business owners and marketers achieve their goal of viral success in the scary ocean that is the TikTok algorithm.

After 100s of millions of views across various accounts, this book will provide you with everything you need to get BIG numbers fast… before the gold rush ends.

TikTok, right now, is a once-in-a-lifetime opportunity and this handbook has been created to do the hard work for you.

You’ll discover how to:

• Get MILLIONS of views on your TikToks so you can show off jaw-dropping numbers at your next team meeting
• Write easy-to-film ideas on autopilot and never have to worry about “I don’t know what to post” again
• Turn big views into sales so you get money in your pocket, boost your business or rocket your career.

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Marketing For Dummies, 5th Edition is the ultimate handbook for boosting your business. Whether you’re a small mom-and-pop shop, a local nonprofit, or a mid-size business looking to grow, the right marketing approach can make your company or organization stand out from the crowd. This book shows you how to find, reach, and engage with your customers in a way that brings in business. This new  edition, updated to align with the latest marketing revolution, introduces you to essential techniques including search engine, guerilla, global, and behavior marketing. You’ll learn where to find your people, and how to give them what they want—how they want it—using behavioral techniques. You’ll discover inexpensive online marketing and promotion tools, proving that budget doesn’t have to be an insurmountable obstacle. You’ll find up-to-date marketing plans, resources, and examples throughout to help you get out there and get your business noticed today!

Today’s marketing treats every aspect of customer interaction—including customer service and the product itself—as an opportunity to grow. This book shows you how to harness the power of these techniques to drive traffic, boost sales, and move your business forward.

• Turn web visibility into real-world traffic and sales
• Reach the right people at the right time
• Develop a cohesive marketing plan for any budget
• Source locally, market dynamically, and connect with your community

Whether you’re looking for fundamental marketing skills, seeking guidance on social media and analytics, or need a full-blown comprehensive web marketing strategy, this book has you covered. Marketing For Dummies, 5th Edition helps you open the door to a new, more successful phase of business.

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The legal landscape is evolving at an unprecedented pace, with the seismic shifts of recent years demanding a fresh perspective on the role of technology and innovation within the legal profession. The Legal Tech Ecosystem delves into this essential transformation, shedding light on the crucial interplay between law and technology in today’s complex world.

At its core, this book addresses the profound changes unfolding in the legal domain, driven by macro-economic forces. These changes have placed an ever-increasing burden on legal departments to accomplish more with fewer resources. A quartet of pillars—the explosive growth of regulations, the challenges posed by globalization, the convergence of risk dimensions, and the pressure on corporate profits—has created an environment where legal professionals must adapt swiftly to succeed.

Author Colin S. Levy, an esteemed legal practitioner with diverse experiences spanning publishing, education, technology, and cyber security, serves as an invaluable guide through this dynamic landscape. His unique insights, honed across industries and organizational scales, offer readers a deep understanding of the intricate nexus where law, technology, and business converge.

While emerging legal technology has provided effective solutions to these challenges, The Legal Tech Ecosystem emphasizes that technology alone is not sufficient. Legal departments must undergo a fundamental digital transformation, rethinking their structures, processes, and approaches to truly capitalize on the benefits technology brings. The real value lies in data—capturing it, analyzing it, and deriving transformative insights from it.

Colin has emerged as a leading thinker in this space, sharing his perspective through podcasts, writings, and insightful commentary. His expertise illuminates the path forward for legal professionals seeking to thrive in this era of change. Agility, flexibility, and innovation will define success, and this book is the perfect companion for those seeking to embrace the future with confidence.

As the legal profession evolves, those equipped with the knowledge and insights provided by The Legal Tech Ecosystem will be at the forefront of this transformation. The changing legal environment demands proactive engagement, and this book, curated by one of the field’s luminaries, offers the guidance needed to navigate the exciting journey ahead.

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Enhance your students’ practical skills and develop their key content knowledge with this proven formula for effective, structured revision.

Target success in OCR’s Cambridge Technical Level 3 Information Technology with this revision guide that brings together exam-style questions, revision tasks and practical tips to help students to review, strengthen and test their knowledge.

With My Revision Notes, every student can:
– Enjoy an interactive approach to revision, with clear topic summaries that consolidate knowledge and related activities that put the content into context.

– Plan and manage a successful revision programme using the topic-by-topic planner.

– Build, practise and enhance exam skills by progressing through revision tasks and Test Yourself activities.

– Improve exam technique with helpful hints, tips and ‘Now Test Yourself’ questions on how to approach the exams.

Please note: answers are not provided for the exam-style questions and ‘Test Yourself’ activities

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Elevate your problem-solving prowess by using cutting-edge quantum machine learning algorithms in the financial domain

Purchase of the print or Kindle book includes a free PDF eBook

Key Features

• Learn to solve financial analysis problems by harnessing quantum power
• Unlock the benefits of quantum machine learning and its potential to solve problems
• Train QML to solve portfolio optimization and risk analytics problems

Book Description

Quantum computing has the potential to revolutionize the computing paradigm. By integrating quantum algorithms with artificial intelligence and machine learning, we can harness the power of qubits to deliver comprehensive and optimized solutions for intricate financial problems.

This book offers step-by-step guidance on using various quantum algorithm frameworks within a Python environment, enabling you to tackle business challenges in finance. With the use of contrasting solutions from well-known Python libraries with quantum algorithms, you’ll discover the advantages of the quantum approach. Focusing on clarity, the authors expertly present complex quantum algorithms in a straightforward, yet comprehensive way. Throughout the book, you’ll become adept at working with simple programs illustrating quantum computing principles. Gradually, you’ll progress to more sophisticated programs and algorithms that harness the full power of quantum computing.

By the end of this book, you’ll be able to design, implement and run your own quantum computing programs to turbocharge your financial modelling.

What you will learn

• Examine quantum computing frameworks, models, and techniques
• Get to grips with QC’s impact on financial modelling and simulations
• Utilize Qiskit and Pennylane for financial analyses
• Employ renowned NISQ algorithms in model building
• Discover best practices for QML algorithm
• Solve data mining issues with QML algorithms

Who this book is for

This book is for financial practitioners, quantitative analysts, or developers; looking to bring the power of quantum computing to their organizations. This is an essential resource written for finance professionals, who want to harness the power of quantum computers for solving real-world financial problems. A basic understanding of Python, calculus, linear algebra, and quantum computing is a prerequisite.

Table of Contents

1. Quantum Computing Paradigm
2. Quantum Machine Learning Algorithms
3. Quantum Finance Landscape
4. Derivatives Valuation
5. Portfolio Valuations
6. Credit Risk Analytics
7. Implementation in Quantum Clouds
8. HPCs and Simulators Relevance
9. NISQ Quantum Hardware Evolution
10. Quantum Roadmap for Banks and Fintechs

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Use modern Python libraries such as pandas, NumPy, and scikit-learn and popular machine learning and deep learning methods to solve financial modeling problems

Purchase of the print or Kindle book includes a free eBook in the PDF format

Key Features

• Explore unique recipes for financial data processing and analysis with Python
• Apply classical and machine learning approaches to financial time series analysis
• Calculate various technical analysis indicators and backtest trading strategies

Book Description

Python is one of the most popular programming languages in the financial industry, with a huge collection of accompanying libraries. In this new edition of the Python for Finance Cookbook, you will explore classical quantitative finance approaches to data modeling, such as GARCH, CAPM, factor models, as well as modern machine learning and deep learning solutions.

You will use popular Python libraries that, in a few lines of code, provide the means to quickly process, analyze, and draw conclusions from financial data. In this new edition, more emphasis was put on exploratory data analysis to help you visualize and better understand financial data. While doing so, you will also learn how to use Streamlit to create elegant, interactive web applications to present the results of technical analyses.

Using the recipes in this book, you will become proficient in financial data analysis, be it for personal or professional projects. You will also understand which potential issues to expect with such analyses and, more importantly, how to overcome them.

What you will learn

• Preprocess, analyze, and visualize financial data
• Explore time series modeling with statistical (exponential smoothing, ARIMA) and machine learning models
• Uncover advanced time series forecasting algorithms such as Meta’s Prophet
• Use Monte Carlo simulations for derivatives valuation and risk assessment
• Explore volatility modeling using univariate and multivariate GARCH models
• Investigate various approaches to asset allocation
• Learn how to approach ML-projects using an example of default prediction
• Explore modern deep learning models such as Google’s TabNet, Amazon’s DeepAR and NeuralProphet

Who this book is for

This book is intended for financial analysts, data analysts and scientists, and Python developers with a familiarity with financial concepts. You’ll learn how to correctly use advanced approaches for analysis, avoid potential pitfalls and common mistakes, and reach correct conclusions for a broad range of finance problems.

Working knowledge of the Python programming language (particularly libraries such as pandas and NumPy) is necessary.

Table of Contents

1. Acquiring Financial Data
2. Data Preprocessing
3. Visualizing Financial Time Series
4. Exploring Financial Time Series Data
5. Technical Analysis and Building Interactive Dashboards
6. Time Series Analysis and Forecasting
7. Machine Learning-Based Approaches to Time Series Forecasting
8. Multi-Factor Models
9. Modelling Volatility with GARCH Class Models
10. Monte Carlo Simulations in Finance
11. Asset Allocation
12. Backtesting Trading Strategies
13. Applied Machine Learning: Identifying Credit Default
14. Advanced Concepts for Machine Learning Projects
15. Deep Learning in Finance

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