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  Terrarium Imaginarium

  Isabelle Palmer

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  Transform your home with more than 25 innovative and inspiring ideas using succulents and terrariums to create beautiful and stylish indoor gardens.
  Small-space gardening expert Isabelle Palmer shows you how to use succulents and other plants to create trendy terrariums and gorgeous indoor garden designs and how to grow under glass. She offers helpful advice and techniques as well as handy tips for taking care of your new houseplants. Display pretty cacti inside copper lanterns, grow amazing aquatic plants in a deep vase, create a stunning fireside moss and fern display, and plant some tiny jewel-like succulents inside mason jars for an easy and on-trend kitchen window scene. Terrarium Imaginarium removes the mystery of taking care of plants and gives everyone a chance to enjoy the benefits and beauty of a garden indoors.

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  The Pine Barrens

  John McPhee

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  Most people think of New Jersey as a suburban-industrial corridor that runs between New York and Philadelphia. Yet in the low center of the state is a near wilderness, larger than most national parks, which has been known since the seventeenth century as the Pine Barrens. 
   
   
   
  The term refers to the predominant trees in the vast forests that cover the area and to the quality of the soils below, which are too sandy and acid to be good for farming. On all sides, however, developments of one kind or another have gradually moved in, so that now the central and integral forest is reduced to about a thousand square miles. Although New Jersey has the heaviest population density of any state, huge segments of the Pine Barrens remain uninhabited. The few people who dwell in the region, the "Pineys," are little known and often misunderstood. Here McPhee uses his uncanny skills as a journalist to explore the history of the region and describe the people—and their distinctive folklore—who call it home.

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  Apparently Normal Person An -...

  Bonnie R. Armstrong

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  Have you ever questioned the truths behind a seemingly ordinary life? 
  An Apparently Normal Person takes you on a captivating journey through the depths of trauma, resilience and the power of the human spirit. In this inspiring memoir, Bonnie Armstrong unveils the uncharted territory of her dissociation, a survival mechanism that became a catalyst for healing. 
  At the height of an accomplished professional career, an inexplicable illness hints at a connection to a forgotten suicide attempt decades earlier. The author is led to unravel the enigma of her past. What follows is the revelation of a secret internal community that helped her function in the face of unspeakable suffering. 
  This book offers hope to the two-thirds of adults who have experienced some type of childhood trauma. More than a story, it’s a testament to the transformative path from darkness to wholeness. 
  Brave, raw and ultimately uplifting, An Apparently Normal Person serves as a beacon of hope for those seeking solace and healing from hidden pain.

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  Machine Learning Interviews -...

  Susan Shu Chang

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  As tech products become more prevalent today, the demand for machine learning professionals continues to grow. But the responsibilities and skill sets required of ML professionals still vary drastically from company to company, making the interview process difficult to predict. In this guide, data science leader Susan Shu Chang shows you how to tackle the ML hiring process. 
   
   
   
  Having served as principal data scientist in several companies, Chang has considerable experience as both ML interviewer and interviewee. She'll take you through the highly selective recruitment process by sharing hard-won lessons she learned along the way. You'll quickly understand how to successfully navigate your way through typical ML interviews. 
   
   
   
  This guide shows you how to: explore various machine learning roles, including ML engineer, applied scientist, and data scientist; assess your interests and skills before deciding which ML role(s) to pursue; evaluate your current skills and close any gaps that may prevent you from succeeding in the interview process; acquire the skill set necessary for each machine learning role; ace ML interview topics, including coding assessments, statistics and machine learning theory, and behavioral questions; and prepare for interviews in statistics and machine learning theory by studying common interview questions.

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  How To: GPT-4 for Financial...

  Ben Jakobsen

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  Discover the ultimate guide to starting a lucrative online business or side hustle using the groundbreaking power of GPT-4 and its innovative plugins. If you've ever dreamed of making money online, this book is for you! 
  How To: GPT-4 for Financial Freedom is tailored specifically for aspiring entrepreneurs and side hustlers eager to carve out their own path to success in the digital world. This comprehensive guide dives deep into the potential of GPT-4 and its game-changing plugins, unlocking the secrets to easily building a thriving online venture. 
  In this book, you'll learn how GPT-4 and its plugins can revolutionize how you approach online businesses, dramatically reducing the effort needed to succeed. With this knowledge, you'll be equipped to disrupt a wide array of existing industries and create your own profitable niche. 
  Get ready to:Start your online business or side hustle with confidence and easeHarness the power of GPT-4 plugins to streamline your operations and boost profitabilityDisrupt existing business models and reshape the digital landscape 
  Don't miss this opportunity to transform your online aspirations into reality. Start your journey to financial freedom and entrepreneurial success with How To: GPT-4 for Financial Freedom today!

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  Bitcoin Price Prediction using...

  Bryan DeHart

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  This podcast explores Bitcoin price prediction using machine learning techniques. It focuses on the use of the XGBoost classifier, demonstrating its high accuracy (99.08%) compared to other algorithms such as logistic regression, SVM, and Random Forest. The study analyzes a historical Bitcoin price dataset, applying data preprocessing and evaluating model performance through metrics such as accuracy, recall, and F1 score. The results show the effectiveness of XGBoost in predicting Bitcoin price changes, offering valuable insights for investors. Future research is discussed to improve the model's accuracy by integrating additional data and ensemble learning techniques.

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