Everand Logo

Welcome to Everand!

  • Discover millions of ebooks, audiobooks, and so much more with a free trial

    From $11.99/month after trial. Cancel anytime.

    The Ultimate Guide To AI and Machine Learning: From Theory To Applications
    The Ultimate Guide To AI and Machine Learning: From Theory To Applications
    The Ultimate Guide To AI and Machine Learning: From Theory To Applications
    Ebook111 pages1 hour

    The Ultimate Guide To AI and Machine Learning: From Theory To Applications

    By Negoita Manuela

    ()

    Read preview

    About this ebook

    In The Ultimate Guide To AI and Machine Learning: From Theory To Applications, readers will embark on an insightful journey into the realms of Artificial Intelligence (AI) and Machine Learning. This comprehensive book delves into the intricate theories and practical applications of these cutting-edge technologies, providing readers with a deep understanding of the fundamental concepts and advanced techniques that drive the development of intelligent systems. From the basics of AI and Machine Learning to advanced topics such as neural networks, deep learning, and natural language processing, this book covers a wide range of subjects that are essential for anyone interested in mastering these transformative technologies. Whether you are a beginner looking to build a solid foundation in AI and ML or an experienced practitioner seeking to enhance your skills and knowledge, this book has something for everyone. The Ultimate Guide To AI and Machine Learning is designed for a diverse range of readers, including students, researchers, professionals, and enthusiasts who are eager to explore the exciting world of artificial intelligence and machine learning. With clear explanations, practical examples, and hands-on exercises, this book caters to a wide audience and is suitable for both self-study and classroom use. The aim of this book is to demystify the complex theories and algorithms behind AI and Machine Learning, making them accessible and understandable to readers of all levels. By providing a comprehensive guide that covers both the theoretical foundations and real-world applications of these technologies, this book aims to empower readers to harness the power of AI and machine learning in their own projects and initiatives. The value of The Ultimate Guide To AI and Machine Learning lies in its ability to bridge the gap between theory and practice, offering readers a holistic understanding of AI and Machine Learning that goes beyond mere academic knowledge. By exploring the practical applications of AI and Machine Learning in various domains, this book equips readers with the skills and insights they need to succeed in the rapidly evolving field of artificial intelligence. Whether you are a novice looking to explore the possibilities of AI or a seasoned professional seeking to stay ahead of the curve, this book is an invaluable resource that will enrich your knowledge and inspire your creativity.

    LanguageEnglish
    PublisherNegoita Manuela
    Release dateMar 26, 2024
    ISBN9798224511969
    The Ultimate Guide To AI and Machine Learning: From Theory To Applications

    Read more from Negoita Manuela

    Related to The Ultimate Guide To AI and Machine Learning

    Related ebooks

    Wellness For You

    View More
    View More

    Related podcast episodes

    Related articles

    • UNLIMITED

      Top-paying Sectors

      Aug 9, 2019

      Advances in robotics, artificial intelligence (AI), and machine learning are pushing the frontiers of technology. These newer generation autonomous systems can perform a range of routine activities faster and more economically than humans. Innovative

      1 min read

    • UNLIMITED

      The Human Touch

      Feb 3, 2023

      The Human Touch
      9 min read

    • UNLIMITED

      How India Can be At The Forefront Of AI

      Jan 6, 2024

      In 2011, when Marc Andreessen wrote, “Software is eating the world”, he was referring to the increasing ‘tech-ification’ of businesses. Since then, companies big and small have been rebranding themselves as ‘tech companies’. In 2018, the CEO of the b

      4 min read

    • UNLIMITED

      Alexa, Are You Acting In My Best Interest?

      Oct 18, 2019

      recently, I attended a conference where one of the points of discussion was the disruption within the world of finance through new breakthroughs in artificial intelligence, or AI. One of the panellists said she worries about the influence that Amazon

      4 min read

    • UNLIMITED

      Cognitive Enterprise

      Dec 1, 2021

      Cognitive Enterprise
      6 min read

    • UNLIMITED

      EthicalAI

      Jul 8, 2021

      EthicalAI
      2 min read

    • UNLIMITED

      Sentimental Analysis

      Dec 1, 2021

      Sentimental Analysis
      3 min read

    • UNLIMITED

      The Rise Of The Machines

      May 12, 2023

      The Rise Of The Machines
      5 min read

    • UNLIMITED

      Leapfrogging Into The Future

      Mar 22, 2024

      A ARTIFICIAL INTELLIGENCE (AI) is all set to fast-forward India’s digital economy, enhancing governance, social inclusion and push for an exponential multi-sectoral growth that includes data-driven intelligence and insights. Within the realm of AI, G

      5 min read

    • UNLIMITED

      It’s Time For a Radical Rethink

      Jan 6, 2024

      Since the launch of ChatGPT last year, AI has captured the public imagination. Popular narratives oscillate between unbridled enthusiasm about AI’s potential to advance societal progress and doomsday scenarios about the existential risks it poses to

      5 min read

    • UNLIMITED

      Is AI All Hype? Or The Next Revolution In Asset Management?

      Oct 18, 2019

      2017 saw the advent of the first fully artificial intelligence-powered, daily traded exchange-traded funds (ETFs), with some viewing this as heralding a shift into a new investment paradigm of Autonomous Learning Investment Strategies (ALIS). What’s

      3 min read

    • UNLIMITED

      Bots And Robbers What Is AI, And Will It Make Us All Redundant?

      Nov 3, 2023

      What is artificial intelligence? The term was coined in 1955 by a team including Harvard computer scientist Marvin Minsky. With no strict definition of the phrase, almost anything more complex than a calculator has been called artificial intelligence

      3 min read

    • UNLIMITED

      How AI Is Quietly Changing The World

      May 26, 2021

      A mere mention of the term artificial intelligence (AI) causes a lot of people to think of it as some abstract technology that is being tested in advanced computing labs, modelling robots on human behaviour. In reality, AI is far more common and bein

      2 min read

    Related categories

    Reviews for The Ultimate Guide To AI and Machine Learning

    0 ratings

    0 ratings0 reviews

    What did you think?

    Tap to rate

    Review must be at least 10 words

      Book preview

      The Ultimate Guide To AI and Machine Learning - Negoita Manuela

      Chapter 1: Introduction

      ––––––––

      Overview of Artificial Intelligence (AI) and Machine Learning (ML)

      Artificial Intelligence (AI) and Machine Learning (ML) are two of the most rapidly advancing fields in technology today. AI refers to the ability of machines to perform tasks that typically require human intelligence, such as learning, reasoning, and problem-solving. On the other hand, ML is a subset of AI that focuses on developing algorithms and models that allow machines to learn from data and make predictions or decisions without being explicitly programmed to do so. In essence, AI is the broader concept, while ML is a specific application of AI that enables machines to learn from data.

      One of the key benefits of AI and ML is their ability to automate repetitive tasks and processes, freeing up human employees to focus on more strategic and creative tasks. For example, AI-powered chatbots can handle customer inquiries and support tickets, while ML algorithms can process large amounts of data to identify patterns and trends that would be impossible for humans to detect. Furthermore, AI and ML can enable organizations to make more informed decisions by providing valuable insights and predictions based on data analysis.

      There are various types of AI and ML techniques that are used in different applications. For instance, supervised learning involves training a model on labeled data, while unsupervised learning involves clustering data into groups based on similarities. Reinforcement learning, on the other hand, involves a machine learning through trial and error by receiving rewards or punishments based on its actions. Each of these techniques has its strengths and weaknesses, and the choice of technique will depend on the specific task or problem at hand.

      While AI and ML present numerous opportunities for innovation and efficiency, they also raise ethical and societal concerns. For example, there are concerns about the potential for bias in AI algorithms, which can lead to discrimination or unfair treatment. Additionally, there are concerns about the impact of AI and ML on the job market, as automation could lead to job displacement for certain occupations. It is essential for organizations and policymakers to address these concerns proactively and ensure that AI and ML technologies are developed and deployed responsibly. By enabling machines to learn from data and perform intelligent tasks, these technologies have the potential to revolutionize how we work, communicate, and live. However, it is crucial to approach the development and deployment of AI and ML with caution, considering the ethical, societal, and economic implications. With the right approach, AI and ML can drive innovation and productivity while ensuring that the benefits are shared equitably among all stakeholders.

      Importance of AI and ML in various industries

      Artificial Intelligence (AI) and Machine Learning (ML) have become indispensable tools in various industries, revolutionizing the way organizations operate and interact with customers. These technologies have the potential to streamline processes, improve decision-making, and drive innovation across sectors such as healthcare, finance, retail, and manufacturing. In this era of digital transformation, AI and ML are no longer just buzzwords, but critical components of business strategy that can give companies a competitive edge.

      In the healthcare industry, AI and ML are being used to analyze medical data, diagnose diseases, and personalize treatment plans. By leveraging predictive analytics and pattern recognition, healthcare providers can offer more accurate and timely diagnoses, leading to better patient outcomes. For example, AI-powered systems can identify early warning signs of diseases such as cancer or heart conditions, enabling doctors to intervene sooner and save lives. Additionally, ML algorithms can help healthcare organizations optimize resource allocation, reduce costs, and improve the overall efficiency of their operations.

      In the finance sector, AI and ML are transforming the way financial institutions manage risk, detect fraud, and provide personalized services to customers. With the vast amounts of data generated in the financial industry, AI algorithms can analyze patterns and anomalies in real-time, enabling banks and insurance companies to identify potential threats and mitigate risks proactively. ML models can also be used to create personalized investment strategies for clients based on their risk tolerance, financial goals, and market trends. By leveraging AI and ML, financial institutions can enhance customer experience, increase operational efficiency, and drive business growth.

      In the retail industry, AI and ML are revolutionizing the way companies engage with customers, optimize their supply chain, and enhance the shopping experience. By analyzing customer behavior and preferences, retailers can create personalized marketing campaigns, recommend products, and tailor promotions to individual needs. ML algorithms can also forecast demand, optimize inventory levels, and automate pricing decisions, helping retailers improve their profitability and stay competitive in a fast-paced market. Furthermore, AI-powered chatbots and virtual assistants are being used to provide 24/7 customer support, answer queries, and offer personalized recommendations, enhancing the overall shopping experience for consumers.

      In the manufacturing sector, AI and ML are driving automation, predictive maintenance, and quality control, leading to increased productivity and efficiency. By deploying AI-powered robots and machines, manufacturers can streamline production processes, reduce downtime, and improve the overall quality of their products. ML algorithms can analyze sensor data in real-time to predict equipment failures, schedule maintenance activities, and optimize production schedules. Additionally, AI systems can detect defects, errors, or anomalies on the assembly line, enabling manufacturers to take corrective actions and prevent costly rework or recalls. By harnessing the power of AI and ML, manufacturers can achieve higher levels of operational excellence, reduce costs, and deliver superior products to customers. These technologies have the potential to transform businesses, drive innovation, and create new opportunities for growth and profitability. By leveraging AI and ML, organizations can improve decision-making, enhance customer experience, and optimize their operations across sectors such as healthcare, finance, retail, and manufacturing. As we continue to embrace the era of digital transformation, it is imperative for companies to invest in AI and ML capabilities to stay ahead of the competition and thrive in an increasingly complex and competitive market.

      Brief history of AI and ML

      Artificial Intelligence (AI) and Machine Learning (ML) are two of the most rapidly advancing technologies in the modern era, revolutionizing industries and transforming the way we interact with technology. In order to fully appreciate the current state of AI and ML, it is crucial to understand the history and development of these fields. The roots of AI can be traced back to ancient mythology and philosophy, with tales of artificial beings capable of independent thought and action dating back to ancient civilizations such as the Greeks and the Egyptians. However, it wasn't until the 20th century that AI as we know it today began to take shape.

      The term artificial intelligence was first coined by John McCarthy, an American computer scientist, at a conference held at Dartmouth College in 1956. This event is often considered to be the birth of AI as a field of study, and it laid the groundwork for decades of research and development in the field. In the early years of AI research, the focus was on creating machines that could simulate human intelligence, with early projects such as the Logic Theorist and the General Problem Solver paving the way for more sophisticated AI systems.

      Machine Learning, a subset of AI that focuses on teaching computers to learn from data, has its own rich history that dates back to the mid-20th century. The earliest forms of machine learning can be traced back to the work of Arthur Samuel, a pioneer in the field who developed algorithms that could improve

      Enjoying the preview?
      Page 1 of 1