Here’s a glimpse into my collection of books I’ve gathered over the last couple of years. Each volume has been a source of enlightenment, broadening my understanding across various subjects and contexts. For comprehensive reviews, please refer to my Goodreads Profile.

Technical Reads

  • An Introduction to Statistical Learning with Applications in Python by Gareth James on statlearning.com

  • Software Engineering for Data Scientists: From Notebooks to Scalable Systems by Catherine Nelson on Amazon

  • The Deep Learning Architect's Handbook: Build and deploy production-ready DL solutions leveraging the latest Python techniques by Ee Kin Chin on Amazon

  • How to Lead in Data Science by Jike Chong on Amazon

  • Data-Centric Machine Learning with Python: The ultimate guide to engineering and deploying high-quality models based on good data by Jonas Christensen on Amazon

  • Unifying Business, Data, and Code: Designing Data Products With JSON Schema by Ron Itelman on Amazon

  • Accelerate Model Training with PyTorch 2.X: Build more accurate models by boosting the model training process by Maicon Melo Alves on Amazon

  • May Contain Lies: How Stories, Statistics, and Studies Exploit Our Biases―And What We Can Do about It Alex Edmans on Amazon

  • Applied Regression Analysis (Wiley Series in Probability and Statistics) Third Edition by Norman Draper Julien Danjou on Amazon

  • Deep Learning and XAI Techniques for Anomaly Detection: Integrate the theory and practice of deep anomaly explainability Cher Simon on Amazon

  • Federated Learning with Python: Design and implement a federated learning system and develop applications using existing frameworks by Julien Danjou on Amazon

  • Mastering Machine Learning Algorithms: Expert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work, 2nd Edition by Giuseppe Bonaccorso on Amazon

  • Data Science Projects with Python: A case study approach to gaining valuable insights from real data with machine learning, 2nd Edition by Stephen Klosterman on Amazon

  • Reproducible Machine Learning for Credit Card Fraud detection - Practical handbook by ML Group on Amazon

  • Vector Search for Practitioners with Elastic: A toolkit for building NLP solutions for search, observability, and security using vector search by Bahaaldine Azarmi on Amazon

  • Feature Engineering and Selection: A Practical Approach for Predictive Models by Max Kuhn on Amazon

  • Data Engineering with AWS - Second Edition: Acquire the skills to design and build AWS-based data transformation pipelines like a pro by Gareth Eagar on Amazon

  • Machine Learning Engineering in Action by Ben Wilson on Amazon

  • Applied Logistic Regression, 3rd Edition Hosmer on Amazon

  • Ensemble Methods for Machine Learning by Gautam Kunapuli on Amazon

  • Data Observability for Data Engineering: Proactive strategies for ensuring data accuracy and addressing broken data pipelines by Michele Pinto on Amazon

  • Software Engineering for Data Scientists by Andrew Treadway on Manning

  • Analysis of Ordinal Categorical Data 2nd Edition by Alan Agresti on Amazon

  • Machine Learning System Design by Valerii Babushkin and Arseny Kravchenko on Manning

  • Practical Data Privacy: Enhancing Privacy and Security in Data by Katharine Jarmul on Amazon

  • Machine Learning on Kubernetes: A practical handbook for building and using a complete open source machine learning platform on Kubernetes by Faisal Masood on Amazon

  • Amazon Web Services in Action, Third Edition: An in-depth guide to AWS by Andreas Wittig on Amazon

  • AI as a Service: Serverless machine learning with AWS by Peter Elger on Amazon

  • Jira 8 Essentials: Effective project tracking and issue management with enhanced Jira 8.21 and Data Center features, 6th Edition by Patrick Li on Amazon

  • Machine Learning Engineering on AWS: Build, scale, and secure machine learning systems and MLOps pipelines in production by Joshua Arvin Lat on Amazon

  • Azure Machine Learning Engineering: Deploy, fine-tune, and optimize ML models using Microsoft Azure by Sina Fakhraeey on Amazon

  • Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning by Valliappa Lakshmanan on Amazon

  • The Linux Command Line, 2nd Edition: A Complete Introduction by William Shotts on Amazon

  • Python Crash Course, 3rd Edition: A Hands-On, Project-Based Introduction to Programming by Eric Matthes on Amazon

  • Automating DevOps with GitLab CI/CD Pipelines: Build efficient CI/CD pipelines to verify, secure, and deploy your code using real-life examples by Christopher Cowell on Amazon

  • Unlocking the Secrets of Prompt Engineering: Master the art of creative language generation to accelerate your journey from novice to pro by Gilbert Mizrahi on Amazon

  • Human-in-the-Loop Machine Learning: Active learning and annotation for human-centered AI by Mauricio Aniche on Amazon

  • Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Marthin Kleppmann on Amazon

  • Machine Learning Engineering with Python: Manage the lifecycle of machine learning models using MLOps with practical examples, 2nd Edition by Marthin Kleppmann on Amazon

  • Microservice APIs: Using Python, Flask, FastAPI, OpenAPI and more by Jose Haro on Amazon

  • Machine Learning in Microservices: Productionizing microservices architecture for machine learning solutions by Mohamed Abouahmed on Amazon

  • Architecting Data and Machine Learning Platforms: Enable Analytics and AI-Driven Innovation in the Cloud by Marco Tranquillin on Amazon

  • Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machine Learning series)by Kevin Murphy on Amazon

  • Clean Code in Python: Develop maintainable and efficient code, 2nd Edition by Mariano Anaya on Amazon

  • Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT and other models by Ben auffarth on Amazon

  • Quick Start Guide to Large Language Models: Strategies and Best Practices for Using ChatGPT and Other LLMs (Addison-Wesley Data & Analytics Series) by Sinan Ozdemir on Amazon

  • Python Workout: 50 ten-minute exercises by Reuven M. Lerner on Amazon

  • Solutions Architect's Handbook: Kick-start your career as a solutions architect by learning architecture design principles and strategies, 3nd Edition by Saurabh Shrivastava on Amazon

  • Site Reliability Engineering: How Google Runs Production Systems by Jennifer Petoff on Amazon

  • Generative AI on AWS: Building Context-Aware Multimodal Reasoning Applications by Chris Fregly on Amazon

  • Debugging Machine Learning Models with Python: Develop high-performance, low-bias, and explainable machine learning and deep learning models by Ali Madanion Amazon

  • Machine Learning Model Serving Patterns and Best Practices: A definitive guide to deploying, monitoring, and providing accessibility to ML models in production by Md Johirul Islam on Amazon

  • Natural Language Processing with Transformers, Revised Edition by Lewis Tunstall on Amazon

  • Deep Learning: Foundations and Concepts by Christopher M. Bishop on Amazon

  • Advanced Excel Formulas: Unleashing Brilliance with Excel Formulas by Alan Murray on Amazon

  • Machine Learning with LightGBM and Python: A practitioner's guide to developing production-ready machine learning systems by Andrich van Wyk on Amazon

  • Deep Learning in Production by Sergios Karagiannakos on Amazon

  • Production-Ready Applied Deep Learning: Learn how to construct and deploy complex models in PyTorch and TensorFlow deep learning frameworks by Tomasz Palczewski on Amazon

  • Distributed Machine Learning Patterns by Yuan Tang on Amazon

  • Practical Guide to Applied Conformal Prediction in Python: Learn and apply the best uncertainty frameworks to your industry applications by Valery Manokhin on Amazon

  • Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning by Alex J. Gutman on Amazon

  • Applied Machine Learning and AI for Engineers: Solve Business Problems That Can't Be Solved Algorithmically by Jeff Prosise on Amazon

  • Fighting Churn with Data: The science and strategy of customer retention by Carl S. Gold on Amazon

  • Synthetic Data for Machine Learning: Revolutionize your approach to machine learning with this comprehensive conceptual guide by Carl S. Gold on Amazon

  • Data Augmentation with Python: Enhance deep learning accuracy with data augmentation methods for image, text, audio, and tabular data by Duc Haba on Amazon

  • Hands-On Software Engineering with Python: Move beyond basic programming and construct reliable and efficient software with complex code by Brian Allbee on Amazon

  • Experimentation for Engineers: From A/B testing to Bayesian optimization by David Sweeton Amazon

  • Probably Overthinking It: How to Use Data to Answer Questions, Avoid Statistical Traps, and Make Better Decisions by Allen B. Downeyon Amazon

  • Fast Python: High performance techniques for large datasets by Tiago Rodrigues Antao on Amazon

  • Data Labeling in Machine Learning with Python: Explore modern ways to prepare labeled data for training and fine-tuning ML and generative AI models by Vijaya Kumar Suda on Amazon



Soft skills

  • Soft Skills: The Software Developer's Life Manual by John Sonmez on Amazon

  • Power And Prediction: The Disruptive Economics of Artificial Intelligence by Ajay Agrawal on Amazon

  • The Kremlin School of Negotiation Igor Ryzov on Amazon

  • How to Talk to Anyone About Anything: Improve Your Social Skills, Master Small Talk, Connect Effortlessly, and Make Real Friends (Communication Skills Training) by James W. Williams on Amazon

  • Exercised: The Science of Physical Activity, Rest and Health by Daniel Lieberman on Amazon

  • Engineers Survival Guide: Advice, tactics, and tricks After a decade of working at Facebook, Snapchat, and Microsoft by Merih Taze on Amazon

  • SQL Query Design Patterns and Best Practices: A practical guide to writing readable and maintainable SQL queries using its design patterns by Steve Hughes on Amazon

  • 10 Machine Learning Blueprints You Should Know for Cybersecurity: Protect your systems and boost your defenses with cutting-edge AI techniques by Rajvardhan Oak on Amazon

  • CEO Excellence: The Six Mindsets That Distinguish the Best Leaders from the Re by Carolyn Dewar on Amazon

  • The 22 Laws of Digital Writing by Nicolas Cole on Amazon

  • The Sales Acceleration Formula: Using Data, Technology, and Inbound Selling to go from $0 to $100 Million by Mark Roberge on Amazon

  • Measure What Matters: How Google, Bono, and the Gates Foundation Rock the World with OKRs by John Doerr on Amazon

  • Financial Intelligence by Niou Rebade on Amazon </a</p>

  • Autonomous Transformation: Creating a More Human Future in the Era of Artificial Intelligence by Brian Evergreen on Amazon

  • Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World by Marco Iansiti on Amazon

  • The Personal MBA 10th Anniversary by Josh Kaufman on Amazon

  • How Not to Be Wrong: The Power of Mathematical Thinking by Jordan Ellenberg on Amazon

  • The Diary of a CEO by Steven Bartlett on Amazon

  • Single, Dating, Engaged, Married: Navigating Life and Love in the Modern Age by Ben Stuart on Amazon

  • Starting a Business QuickStart Guide: The Simplified Beginner’s Guide to Launching a Successful Small Business, Turning Your Vision into Reality, and ... Dream (QuickStart Guides™ - Business) by Ken Colwell PhD MBA on Amazon

  • The Software Engineer's Guide to Freelance Consulting: The new book that encompasses finding and maintaining clients as a software developer, tax and legal tips, and everything in between by Zack Burt on Amazon

  • The Coder's Path to Wealth and Independence by Mark Beckner on Amazon

  • From Deep Learning to Rational Machines: What the History of Philosophy Can Teach Us about the Future of Artificial Intelligence by Cameron J. Buckner on Amazon

  • by Bogdan Vaida on Amazon



Content Creation

  • Successful Self-Publishing: How to self-publish and market your book in ebook and print by Joanna Penn on Amazon

  • The One Hour Content Plan: The Solopreneur’s Guide to a Year’s Worth of Blog Post Ideas in 60 Minutes and Creating Content That Hooks and Sells by Meera Kothand on Amazon

  • The Minimalist Entrepreneur: How Great Founders Do More with Less by Sahil Lavingia on Amazon

  • The Six-Figure Freelancer: Your Roadmap to Success in the Gig Economy by Laura Briggs on Amazon

  • Humor, Seriously: Why Humor Is a Secret Weapon in Business and Life by Jennifer Aaker on Amazon

  • Building a StoryBrand: Clarify Your Message So Customers Will Listen by Donald Miller on Amazon

  • Become an Effective Software Engineering Manager: How to Be the Leader Your Development Team Needs by Dr. James Stanier on Amazon

  • The Organised Writer: How to stay on top of all your projects and never miss a deadline (Writers' and Artists') by Antony Johnston on Amazon

  • Steal Like an Artist: 10 Things Nobody Told You About Being Creative by Austin Kleon on Amazon

  • Building a Second Brain: A Proven Method to Organize Your Digital Life and Unlock Your Creative Potential by Tiago Forte on Amazon

  • The Million-Dollar, One-Person Business: Make Great Money. Work the Way You Like. Have the Life You Want by Elaine Pofeldt on Amazon

  • Writing for Busy Readers: Communicate More Effectively in the Real World by Todd Rogers on Amazon

  • How to Write a Lot: A Practical Guide to Productive Academic Writing by Austin Kleon on Amazon

  • Writing Science: How to Write Papers That Get Cited and Proposals That Get Funded by Joshua Schimel on Amazon

  • Money-Smart Solopreneur: A Personal Finance System for Freelancers, Entrepreneurs, and Side-Hustlers by Joshua Schimel on Amazon

  • Design Better and Build Your Brand in Canva by Laura Goodsell on Amazon

  • Followed: The Content Creator's Guide to Being Seen, Facing Judgment, and Building an Authentic Personal Brand by Amanda Bucci on Amazon

  • Entreprenerd: Building a Multi-Million-Dollar Business with Open Source Software by Bruno Luwagie on Amazon

  • Build: An Unorthodox Guide to Making Things Worth Making by Tony Fadell on Amazon

  • The $100 Startup: Reinvent the Way You Make a Living, Do What You Love, and Create a New Future by Chris Guillebeau on Amazon

  • Fall in Love with the Problem, Not the Solution: A Handbook for Entrepreneurs by Uri Levine on Amazon

  • Designing Human-Centric AI Experiences: Applied UX Design for Artificial Intelligence (Design Thinking) by Akshay Kore on Amazon

  • Everybody Writes: Your New and Improved Go-To Guide to Creating Ridiculously Good Content by Ann Handley on Amazon

  • UX for Business: How to Design Valuable Digital Companies by Joel Marsh on Amazon

  • Freelance Your Way to Freedom: How to Free Yourself from the Corporate World and Build the Life of Your Dreams by Alexandra Fasulo on Amazon

  • Ultralearning: Master Hard Skills, Outsmart the Competition, and Accelerate Your Career by Scott H. Young on Amazon

  • Ultralearning: Master Hard Skills, Outsmart the Competition, and Accelerate Your Career by Scott H. Young on Amazon

  • Gamification for Product Excellence: Make your product stand out with higher user engagement, retention, and innovation by Mike Hyzy on Amazon

Code quality

  • Refactoring at Scale: Regaining Control of Your Codebase 1st Edition by Maude Lemaire on Amazon

  • Refactoring: Improving the Design of Existing Code by Martin Fowler on Amazon

  • Modern Python Cookbook: 133 recipes to develop flawless and expressive programs in Python 3.8by Steven F. Lott on Amazon

  • Mastering Python: Write powerful and efficient code using the full range of Python's capabilities by Rick van Hattem on Amazon

  • Modern Technical Writing: An Introduction to Software Documentation by Andrew Etter on Amazon

  • Docs for Developers: An Engineer’s Field Guide to Technical Writing by Jared Bhatti on Amazon

  • The Missing README: A Guide for the New Software Engineer by Paul J.Silva on Amazon

  • The Creative Programmer by Laura D. Adams on Amazon



Project Management on AI

Thinking in Systems by Donella H. Meadows on Amazon

The AI Product Manager's Handbook: Develop a product that takes advantage of machine learning to solve AI problems by Irene Bratsis on Amazon

Managing Machine Learning Projects: From design to deployment by Simon Thompson on Amazon

The Phoenix Project: A Novel about IT, DevOps, and Helping Your Business Win by Simon Thompson on Amazon

Et al.: Because not all research deserves a Nobel Prize by B McGraw on Amazon

Winning with Data Science: A Handbook for Business Leaders by Howard Steven Friedman on Amazon

Data Visualization

Streamlit for Data Science - 2nd Edition by Tyler Richards on Packt

Web App Development Made Simple with Streamlit: A web developer's guide to effortless web app development, deployment, and scalability by Rosario Moscato on Packt

Language

The English Grammar Workbook for Adults: A Self-Study Guide to Improve Functional Writing by Donella H. Meadows on Amazon

The Vocabulary Builder Workbook: Simple Lessons and Activities to Teach Yourself Over 1,400 Must-Know Words by Chris Lele on Amazon

109 Phrasal Verbs 2nd Edition by Michael DiGiacomo on Amazon

225 American English Verb & Preposition Combinations by Michael DiGiacomo on Packt

English Vocabulary in Use: Advanced Book with Answers: Vocabulary Reference and Practice by Michael McCarthy on Amazon

Oxford Guide to Plain English by Martin Cutts on Amazon

"They Say / I Say" Sixth Edition by Gerald Graff on Amazon

English for Everyone: English Idioms: An ESL Book of Over 1,000 English Phrases and Expressions by DK on Amazon

English for Everyone: English Vocabulary Builder (DK English for Everyone) by DK on Amazon

English for Everyone: Phrasal Verbs: An ESL Book of Over 1,000 English Phrasal Verbs by DK on Amazon

English for Everyone: Level 4: Advanced, Course Book: A Complete Self-Study Program by DK on Amazon