High quality hexagonal graph paper notebook for drawing organic chemistry structures. 60# white offset paper perfect bound all notes in one place, no loose sheets 8.5x11" eco friendly through print on demand 150 pages made in the United States light hexagonal grid throughout the notebook fast delivery
LIMITED TIME OFFER - NORMAL PRICE $12 ---- SPECIAL DISCOUNT TO ONLY $5.29 Graph Paper Notebook 1 Cm Square Grid: Squared Graphing Paper, Blank Quad Ruled, 1 Cm Grid Paper, 1 Cm Graphing Paper, 1 Cm Square Graph Paper, Large Size, Graph Paper Notebook 8.5 x 11 Grid Ruled Paper - Thin Gray Line - This graph paper notebook can use for Write, Draw, Mathematics, Laboratory, Study and Work. This notebook is simple design for daily use. For 100 pages, 8.5" x 11". This Notebook Contains: - Premium Matte Cover Design (Soft Cover) - Printed on High Quality Paper - Perfectly Large sized at 8.5" x 11" - 1x1 Cm Quad Ruled, 1 Squares per Cm, 1 Cm Squares - 100 Pages of Thin Gray Line (Grid Ruled)
Math Graph Paper Notebook with 1/2 inch Squares - 100 Quad Ruled Pages / 8.5 x 11 in / 21.59 x 27.94 cm Makes a wonderful daily graph/grid math notebook to draw, write, journal, take notes, make lists, and much more creativity! This is a simple and durable all-purpose daily graph/grid notebook. There is plenty of room inside for drawing, writing notes, journaling, doodling, list making, creative writing, school notes, and capturing ideas. It can be used as a notebook, journal, diary, or composition book. This paperback notebook is 8.5 x 11 in / 21.59 x 27.94 cm with a soft, matte cover and has 100 quad ruled pages. Perfect for all ages -- kids or adults!Wonderful as a gift, present, or personal notebook! About this notebook: 100 graph ruled pages Grid ruled on both sides with thin gray lines Perfect for architects, artists, and any drawing activities High-quality matte cover for a professional finish Perfect size at 8.5 x 11 in / 21.59 x 27.94 cm -- Larger than most Scroll up and click 'Buy' to grab one today!
Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional application areas explored include genetics, medicine, computer science, and information theory. The print book version includes a code that provides free access to an eBook version. The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces. The book includes many intuitive explanations, diagrams, and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R, a free statistical software environment.
Provides a practical guide to get started and execute on machine learning within a few days without necessarily knowing much about machine learning.The first five chapters are enough to get you started and the next few chapters provide you a good feel of more advanced topics to pursue.
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