Machine Learning Applications using Python. Cases Studies from Healthcare, Retail and Finance

Description

Contents......Page 3 Intro......Page 9 ML in Healthcare......Page 11 Installing Python for the Exercises......Page 12 End Notes......Page 21 Scenario 2025......Page 22 Narrow vs. Broad Machine Learning......Page 23 Current State of Healthcare Institutions Around the World......Page 25 End Notes......Page 43 Areas of Healthcare Research Where There is Huge Potential......Page 45 Common Machine Learning Applications in Radiology......Page 48 Working with a Healthcare Data Set......Page 49 Implementing a Patient Electronic Health Record Data Set......Page 52 End Notes......Page 83 Case Studies in Healthcare AI......Page 84 CASE STUDY 1: Lab Coordinator Problem......Page 85 CASE STUDY 2: Hospital Food Wastage Problem......Page 107 Pitfalls to avoid with ML in Healthcare......Page 127 Meeting the Business Objectives......Page 128 This is Not a Competition, It is Applied Business!......Page 129 Don’t Get Caught in the Planning and Design Flaws......Page 132 Choosing the Best Algorithm for Your Prediction Model......Page 135 Are You Using Agile Machine Learning?......Page 136 Ascertaining Technical Risks in the Project......Page 137 End Note......Page 140 Intro-Hospital Communication Apps......Page 141 Connected Patient Data Networks......Page 146 IoT in Healthcare......Page 148 End Note......Page 151 ML in Retail......Page 152 Retail Segments......Page 154 Retail Value Proposition......Page 156 The Process of Technology Adoption in the Retail Sector......Page 158 The Current State of Analytics in the Retail Sector......Page 160 Scenario 2025......Page 163 Narrow vs Broad Machine Learning in Retail......Page 165 The Current State of Retail Institutions Around the World......Page 166 Importance of Machine Learning in Retail......Page 168 Data Collection Methods......Page 174 Limitations of the Study......Page 175 Examining the Study......Page 176 End Notes......Page 185 Implement ML in Retail......Page 186 Implementing Machine Learning Life Cycle in Retail......Page 188 End Notes......Page 219 What Are Recommender Systems?......Page 220 CASE STUDY 1: Recommendation Engine Creation for Online Retail Mart......Page 221 CASE STUDY 2: Talking Bots for AMDAP Retail Group......Page 236 End Notes......Page 240 Supply Chain Management and Logistics......Page 241 Inventor y Management......Page 243 Customer Management......Page 244 Internet of Things......Page 247 End Note......Page 249 Connected Retail Stores......Page 250 Connected Warehouses......Page 253 Collaborative Community Mobile Stores......Page 255 End Notes......Page 258 ML in Finance......Page 259 Financial Segments......Page 261 Finance Value Proposition......Page 262 The Process of Technology Adoption in the Finance Sector......Page 265 End Notes......Page 270 Scenario 2027......Page 271 Narrow vs Broad Machine Learning in Finance......Page 272 Importance of Machine Learning in Finance......Page 274 Research Design Overview......Page 280 Data Analysis......Page 281 Examining the Study......Page 282 Phases of Technology Adoption in  Finance, 2018......Page 290 End Notes......Page 292 Implement ML in Finance......Page 294 Implementing Machine Learning Life Cycle in Finance......Page 296 End Note......Page 323 CASE STUDY 1: Stock Market Movement Prediction......Page 324 CASE STUDY 2: Detecting Financial Statements Fraud......Page 346 End Notes......Page 353 The Regulatory Pitfall......Page 354 The Data Privacy Pitfall......Page 359 End Note......Page 361 Connected Bank......Page 362 Fly-In Financial Markets......Page 366 Financial Asset Exchange......Page 368 End Note......Page 371 Index......Page 372