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Automated Data Analytics - Sedkaoui, Soraya

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        Présentation Automated Data Analytics de Sedkaoui, Soraya Format Relié

         - Livre Littérature Générale

        Livre Littérature Générale - Sedkaoui, Soraya - 01/11/2024 - Relié - Langue : Anglais

        . .

      • Auteur(s) : Sedkaoui, Soraya
      • Editeur : Wiley
      • Langue : Anglais
      • Parution : 01/11/2024
      • Format : Moyen, de 350g à 1kg
      • Nombre de pages : 240
      • ISBN : 1786309785



      • Résumé :

        The human mind is endowed with a remarkable capacity for creative synthesis between intuition and reason...

        Biographie:

        Preface ix

        Introduction xv

        Chapter 1 Artificial Intelligence (AI) and Automated Data Analytics 1

        1.1 The emergence of automated data analytics and the potential of generative AI 2

        1.1.1 The power unleashed by generative AI 2

        1.1.2 Transforming the data analytics process 2

        1.1.3 Redefining coding with the intelligent agent 3

        1.1.4 Human-AI collaboration 5

        1.1.5 The power of prompt engineering 5

        1.1.6 An ethical North Star 6

        1.2 Revolutionizing the data analytics process with ChatGPT 7

        1.2.1 The numbers behind ChatGPT's potential 7

        1.2.2 ChatGPT and the future of data analytics 9

        1.3 Harmony between human creativity and automated analysis: the winning duo 11

        1.3.1 The value of human creativity 11

        1.3.2 The complementary power of automated analysis 12

        1.3.3 Navigating the partnership responsibly 13

        1.4 Unlocking the secrets of prompt engineering for powerful results 15

        1.4.1 The art of prompting 15

        1.4.2 Optimizing prompts for efficient interaction with ChatGPT: fundamental aspects 17

        Chapter 2 ChatGPT for Data Analytics 21

        2.1 Exploring the ChatGPT universe: history, presentation and capabilities 21

        2.1.1 From GPT-1 to GPT-4: generative pre-trained transformers 21

        2.1.2 ChatGPT in practice 24

        2.2 Powerful features for intelligent data analytics: natural language at your service 27

        2.3 ChatGPT versus data scientists: an intelligence battle that looks like an alliance 30

        2.3.1 Seamless communication and key features of an effective partnership 30

        2.3.2 ChatGPT, between ally and threat 33

        2.3.3 Automating data science workflows: unleashing the potential of ChatGPT plugins 35

        2.4 Benefits and challenges of integrating ChatGPT into data analytics workflows 37

        2.4.1 Unlocking analytical potential and reducing costs 37

        Chapter 3 Data Preparation for Analysis with ChatGPT 41

        3.1 ChatGPT in charge of preparing our datasets 41

        3.1.1 Data cleaning 42

        3.1.2 Data transformation 43

        3.1.3 Data formatting 43

        3.2 Automated cleaning and pre-processing for optimum results with ChatGPT 45

        3.3 Handling missing data, outliers and other common data issues 48

        3.4 Using ChatGPT for data transformation, feature engineering and beyond 51

        Chapter 4 Intuitive Query Creation with ChatGPT 57

        4.1 The discovery of patterns, trends and insights through interactive conversations 57

        4.1.1 Key benefits 59

        4.1.2 Discovering insights organically 60

        4.1.3 Democratizing data analytics 60

        4.1.4 The future of business intelligence 61

        4.2 Creating natural language queries to analyze your data 62

        4.3 The art of transforming analysis questions into SQL queries with ChatGPT 65

        4.4 Generating efficient and optimized queries: the key to your success with ChatGPT 69

        Chapter 5 ChatGPT: The Advanced Analysis Wizard 73

        5.1 Exploring new horizons: ChatGPT for exploratory data analysis 73

        5.2 Simplifying your analysis: automation tasks for increased efficiency 80

        5.3 From statistics to predictions: ChatGPT as the partner of choice 82

        5.3.1 Establishing statistical foundations 84

        5.3.2 Building models with ChatGPT 84

        5.3.3 Model deployment and monitoring models 85

        5.3.4 Business impact 86

        5.4 Deciphering feelings: text and sentiment analysis with ChatGPT 87

        Chapter 6 Prediction and Modeling with ChatGPT 93

        6.1 Automating the data analysis process with ChatGPT 94

        6.2 ChatGPT for accurate and reboust modeling 96

        6.3 Continuous improv...

        Sommaire:
        this mental alchemy is the source of genius. A new synergy is emerging between human ingenuity and the computational capacity of generative AI models.

        Automated Data Analytics focuses on this fruitful collaboration between the two to unlock the full potential of data analysis. Together, human ethics and algorithmic productivity have created an alloy stronger than the sum of its parts. The future belongs to this symbiosis between heart and mind, human and machine. If we succeed in harmoniously combining our strengths, it will only be a matter of time before we discover new analytical horizons.

        This book sets out the foundations of this promising partnership, in which everyone makes their contribution to a common work of considerable scope. History is being forged before our very eyes. It is our responsibility to write it wisely, and to collectively pursue the ideal of augmented intelligence progress.

        ...

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