Tabla de Contenidos: “…Using the serialized files in the editor -- Accessing the .asset files in the code -- Adding NPCs and a conversation system to our game -- Let the player walk around the NPC -- Stopping the player from walking through the NPC -- Getting the NPCs talking -- The conversation object -- Saving and serializing the object for later -- The conversation component -- Building a basic conversation system -- The manager -- Starting a conversation -- Preparing the UI -- Displaying the conversation -- Connecting the dots -- Going further -- Summary -- Chapter 7: The World Map -- The larger view -- Types of map -- Fixed maps -- Generated maps -- In-game generated maps -- Going procedural -- Creating our game's map -- Adding the world map -- Adding a player prefab to the overworld -- Adding places of interest -- Leaving town -- Creating a NavigationManager script -- Blocking off paths -- Updating build settings to include new scenes -- Changing scenes -- Returning to town -- Updating the NavigationManager script -- Going further -- Summary -- Chapter 8: Encountering Enemies and Running Away -- Event systems -- Exploring randomness -- True randomness -- Planning for random code/generation -- Basic Artificial Intelligence -- State machines -- Defining states -- Simple singular choice -- Planning for multiple cases -- State managers -- Sensors -- Setting up your battle scene -- Building the new scene -- Adding the first enemy -- Spawning the Dragons -- Creating the BattleManager -- Allowing the player to run away -- Starting the battle -- Saving the map position -- Stop immediately re-entering battle -- Going back to town -- Going further -- Summary -- Chapter 9: Getting Ready to Fight -- Setting up our battle state manager -- The battle state manager -- Getting to the state manager in the code -- Starting the battle -- Introductory animation…”

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Tabla de Contenidos: “…-- Use the scaling laws to size your datasets -- Fundamentals - scaling laws of neural language models -- Bias detection and mitigation -- Enhancing your dataset - multilingual, multimodal, and augmentations -- Summary -- References -- Chapter 3: Model Preparation -- Finding your best base model -- Starting with the smallest base model you can -- Trade-off - simplicity versus complexity -- Finding your pretraining loss function -- Pretraining loss functions in vision - ViT and CoCa -- Pretraining loss functions in language - Alexa Teacher Model -- Changing your pretraining loss function -- Solving for your model size -- Practical approaches to solving for your model size -- Not all scaling laws are created equal -- Planning future experiments -- Summary -- References -- Part 2: Configure Your Environment -- Chapter 4: Containers and Accelerators on the Cloud -- What are accelerators and why do they matter? …”

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“…"Understand data analysis concepts to make accurate decisions based on data using Python programming and Jupyter Notebook Key Features Find out how to use Python code to extract insights from data using real-world examples Work with structured data and free text sources to answer questions and add value using data Perform data analysis from scratch with the help of clear explanations for cleaning, transforming, and visualizing data Book Description Data literacy is the ability to read, analyze, work with, and argue using data. …”

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