DEEP LEARNING FOR DATA MINING UNSUPERVISED FEATURE LEARNING AND REPRESENTATION

Fundamentals of Data Engineering: Plan and Build Robust Data Systems

MACHINE LEARNING EXPLAINED: A PRACTICAL GUIDE TO DATA-DRIVEN DECISION MAKING

Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh

MACHINE LEARNING APPLICATIONS

Practical Lakehouse Architecture: Designing and Implementing Modern Data Platforms at Scale

MACHINE LEARNING FOR HEALTHCARE PREDICTIVE ANALYTICS AND PERSONALIZED MEDICINE

Business Statistics and Data Processing

DEEP LEARNING: NEURAL NETWORK AND BEYOND

Storytelling with Data: Let's Practice!

MACHINE LEARNING FOR IMAGE GENERATION AND STYLE TRANSFER

Driving Data Quality with Data Contracts: A comprehensive guide to building reliable, trusted, and effective data platforms

REINFORCEMENT LEARNING: FOUNDATIONS, ALGORITHMS AND APPLICATIONS

Managing Data as a Product: Design and build data-product-centered socio-technical architectures

UNLEASHING THE POWER OF AI: A COMPREHENSIVE GUIDE TO ADVANTAGES AND DISADVANTAGES IN DIFFERENT INDUSTRIES

Excel 2013 for Scientists: Master advanced Excel techniques and data analysis tailored for scientific research and workflows

MACHINE LEARNING FOR DATA SCIENCE - USING ML ALGORITHMS FOR PREDICTIVE MODELING

100 Excel Simulations: Using Excel to Model Risk, Investments, Genetics, Growth, Gambling and Monte Carlo Analysis

PRACTICAL MACHINE LEARNING APPLICATIONS

Financial Modelling for Project Finance: Mastering Financial Models and Strategies for Funding Successful Projects with Confidence