[center]Demystifying Artificial intelligence | 217 | Prashant Kikani | 2021 | BPB Publications | [/align]

✅ Learn AI & Machine Learning from the first principles
✅ KEY FEATURES
● Explore how different industries are using AI and ML for diverse use-cases.
● Learn core concepts of Data Science, Machine Learning, Deep Learning and NLP in an easy and intuitive manner.
● Cutting-edge coverage on use of ML for business products and services.
● Explore how different companies are monetizing AI and ML technologies.
● Learn how you can start your own journey in the AI field from scratch.
✅ DESCRIPTION
AI and machine learning (ML) are probably the most fascinating technologies of the 21st century. AI is literally in every industry now. From medical to climate change, education to sport, finance to entertainment, AI is disrupting every industry as we know.
So, the basic knowledge of AI/ML becomes mandatory for everyone. This book is your first step to start the journey in this field. Along with basic concepts of fields, like machine learning, deep learning and NLP, we will also explore how big companies are using these technologies to deliver greater user experience and earning millions of dollars in profit.
Also, we will see how the owners of small- or medium-sized businesses can leverage and integrate these technologies with their products and services. Leveraging AI and ML can become that competitive moat which can differentiate the product from others.
In this book, you will learn the root concepts of AI/ML and how these inanimate machines can actually become smarter than the humans at a few tasks, and how companies are using AI and how you can leverage AI to earn profits.
✅ WHAT YOU WILL LEARN
● Core concepts of data science, machine learning, deep learning and NLP in simple and intuitive words.
● How you can leverage and integrate AI technologies in your business to differentiate your product in the market.
● The limitations of traditional non-tech businesses and how AI can bridge those gaps to increase revenues and decrease costs.
● How AI can help companies in launching new products, improving existing ones and automating mundane processes.
● Explore how big tech companies are using AI to automate different tasks and providing unique product experiences to their users.
✅ WHO THIS BOOK IS FOR
This book is for anyone who is curious about this fascinating technology and how it really works at its core. It is also beneficial to those who want to start their career in AI/ ML.
✅ AUTHOR BIO
✅ Prashant Kikani is an experienced data scientist, who ranks in the top 1% worldwide in competitions and kernels on Kaggle which is the world's largest community and platform for data science and machine learning.
As part of his day-to-day work, he is working on solving some of the hardest problems for the human kind, like language translation using state-of-the-art deep learning-based NLP models and infusion of knowledge graphs in NLP models. He is one of the youngest students to achieve the Master title on the Kaggle kernel platform. Also, he has worked on other deep learning sub-fields like computer vision via Kaggle competitions.
His interests lie in AI/ML and deep learning, and teaching others what he has learned in a very simple and intuitive manner. This book is part of his interest to share his knowledge in the simplest possible manner with everyone so that everyone they can learn about this fascinating technology called AI!
Prashant's...
 
Machine Learning Simplified: A Comprehensive Guide to Supervised, Unsupervised, and Semi-Supervised Algorithms

In today's data-driven world, machine learning has become an essential tool for businesses and organizations of all sizes. This powerful technology enables computers to learn from data without being explicitly programmed, making it possible to solve complex problems and uncover hidden insights. However, understanding the intricacies of machine learning can be daunting, especially for those without a background in computer science or mathematics.

Your Essential Guide to Machine Learning Fundamentals

Enter "Machine Learning Simplified," a comprehensive guide that breaks down the complex concepts of machine learning into easily understandable terms. This book is designed for anyone interested in learning about machine learning, whether they are complete beginners or experienced professionals seeking to expand their knowledge.

Demystifying Supervised Learning Algorithms

The book begins by introducing the fundamental concepts of supervised learning, where algorithms are trained on labeled data to learn a mapping from inputs to outputs. This section covers a wide range of supervised learning algorithms, including linear regression, logistic regression, decision trees, support vector machines, and neural networks.

Understanding Unsupervised Learning Techniques

Next, the book delves into the world of unsupervised learning, where algorithms are tasked with finding patterns or structure in unlabeled data. This section covers various unsupervised learning techniques, including clustering algorithms, dimensionality reduction techniques, and anomaly detection algorithms.

Bridging the Gap with Semi-Supervised Learning

The book then explores the concept of semi-supervised learning, which combines labeled and unlabeled data to improve the performance of machine learning algorithms. This section covers various semi-supervised learning techniques, including self-training, co-training, and graph-based methods.

Real-World Applications and Practical Examples

Throughout the book, the author provides numerous real-world examples to illustrate the concepts of machine learning. These examples demonstrate how machine learning is used in various domains, such as healthcare, finance, marketing, and social media.

A Comprehensive Resource for All Levels of Expertise

Whether you are a complete beginner or an experienced professional seeking to expand your knowledge of machine learning, "Machine Learning Simplified" is an essential resource. The book's clear and concise explanations, combined with its abundance of real-world examples, make it an ideal guide for anyone interested in learning about this powerful technology.

✅ Contents of download скачать:
⭐️ Machine Learning Algorithms Simplified.pdf (18.76 MB)

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✅ Machine Learning Algorithms Simplified (18.76 MB)

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