Prateek Joshi
About Prateek Joshi
Speech topics
When and how to infuse Artificial Intelligence into your business
Artificial Intelligence has taken the world by storm. It is becoming increasingly pervasive across all sectors. Companies are trying to understand how they can use this tool to create business value. In this talk, I'll cover a range of topics that companies can use to understand how and when to infuse Artificial Intelligence into your business:
- Getting started with AI
- Framework to run AI experiments
- Expected benefits
- People
- Tools
- Generative AI and Large Language Models
- AI paradigms
- AI chips
- How to choose a model
- AI applications and case studies
- Starter AI apps
- How to measure success
- Constraints and blindspots
- Security and Privacy
- ChatGPT for my own data
- Guardrails for AI
Books by Prateek Joshi
“Artificial Intelligence with Python” (2017)
Artificial Intelligence with Python
“OpenCV with Python by example: build real-world computer vision applications and develop cool demos using OpenCV for Python” (2015)
OpenCV with Python by example: build real-world computer vision applications and develop cool demos using OpenCV for Python
“Artificial Intelligence with Python: Your complete guide to building intelligent apps using Python 3.x, 2nd Edition” (2020)
Artificial Intelligence with Python, Second Edition is an updated and expanded version of the bestselling guide to artificial intelligence using the latest version of Python 3.x. Not only does it provide you an introduction to artificial intelligence, this new edition goes further by giving you the tools you need to explore the amazing world of intelligent apps and create your own applications. This edition also includes seven new chapters on more advanced concepts of Artificial Intelligence, including fundamental use cases of AI; machine learning data pipelines; feature selection and feature engineering; AI on the cloud; the basics of chatbots; RNNs and DL models; and AI and Big Data. Finally, this new edition explores various real-world scenarios and teaches you how to apply relevant AI algorithms to a wide swath of problems, starting with the most basic AI concepts and progressively building from there to solve more difficult challenges so that by the end, you will have gained a solid understanding of, and when best to use, these many artificial intelligence techniques.
“Python Machine Learning Cookbook: Over 100 recipes to progress from smart data analytics to deep learning using real-world datasets, 2nd Edition” (2019)
This eagerly anticipated second edition of the popular Python Machine Learning Cookbook will enable you to adopt a fresh approach to dealing with real-world machine learning and deep learning tasks. With the help of over 100 recipes, you will learn to build powerful machine learning applications using modern libraries from the Python ecosystem. The book will also guide you on how to implement various machine learning algorithms for classification, clustering, and recommendation engines, using a recipe-based approach. With emphasis on practical solutions, dedicated sections in the book will help you to apply supervised and unsupervised learning techniques to real-world problems. Toward the concluding chapters, you will get to grips with recipes that teach you advanced techniques including reinforcement learning, deep neural networks, and automated machine learning. By the end of this book, you will be equipped with the skills you need to apply machine learning techniques and leverage the full capabilities of the Python ecosystem through real-world examples.
“OpenCV 3.x with Python By Example: Make the most of OpenCV and Python to build applications for object recognition and augmented reality, 2nd Edition” (2018)
Computer vision is found everywhere in modern technology. OpenCV for Python enables us to run computer vision algorithms in real time. With the advent of powerful machines, we have more processing power to work with. Using this technology, we can seamlessly integrate our computer vision applications into the cloud. Focusing on OpenCV 3.x and Python 3.6, this book will walk you through all the building blocks needed to build amazing computer vision applications with ease. We start off by manipulating images using simple filtering and geometric transformations. We then discuss affine and projective transformations and see how we can use them to apply cool advanced manipulations to your photos like resizing them while keeping the content intact or smoothly removing undesired elements. We will then cover techniques of object tracking, body part recognition, and object recognition using advanced techniques of machine learning such as artificial neural network. 3D reconstruction and augmented reality techniques are also included. The book covers popular OpenCV libraries with the help of examples. This book is a practical tutorial that covers various examples at different levels, teaching you about the different functions of OpenCV and their actual implementation. By the end of this book, you will have acquired the skills to use OpenCV and Python to develop real-world computer vision applications.
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