INDIAN DEFENCE REVIEW COMMENT :Awakening to National Defence: Hope at Last? - Lt Gen Gautam Banerjee
Combat Potential of the IAF for a Two-Front War - Gp Capt AK Sachdev
Future of Air Dominance - Air Marshal Anil Chopra
Maritime Crime and Terrorism - V Adm Muralidharan
Countering Stealth Aircraft Technology: The Race to See through “Invisibility” - Gp Capt Joseph Noronha
Future Military Helicopters - Design & Development - Lt Gen BS Pawar
Future Aerial Weapons - Air Marshal Anil Chopra
Towards a more Vigorous Make-in-India in Defence Manufacturing - Prof (Dr) SN Misra & Sanjaya Ku Ghadai
India and the New Great Game in Central Asia - Martand Jha
Can the Shanghai Cooperation Organisation bring India and Pakistan Closer? - Col (Dr) PK Vasudeva
India-Indonesia Ties: Chinese Elephant in the Room - Jabin T Jacob
Terror: Lessons from Paris and Beyond - Brig Pradeep Sharma
Leadership and Management in the Indian Army - Lt Gen Mohinder Puri
Jammu & Kashmir: The Way Forward - Brig Anil Gupta
Emperor Lalitaditya: One among India’s Greatest Soldier-Statesmen - Col Tej K Tikoo
Aerospace and Defence News - Priya Tyagi
War as a Multi-Dimensional Whole: A Framework for India in a Repolarizing World - Navneet Bhushan
India’s Defence Budget and Military Modernisation - Air Marshal M Matheswaran
In Search of a Rifle: Ministry of Defence Goes Globe Trolling - Col Danvir Singh
Head Hunters in Kargil-Naga Regiment - Sumit Walia
The Goal: A Process of Ongoing Improvement by Eliyahu Goldratt and Jeff Cox describes a process by which an unprofitable manufacturing operation can be made profitable. It conveys proven factory turnaround principles through a fictional story…
PLEASE NOTE: This is key takeaways and analysis of the book and NOT the original book.
Inside this Instaread of The Goal:Overview of the bookImportant PeopleKey TakeawaysAnalysis of Key Takeaways
Companion website: https://sites.google.com/view/real-options
Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making.Understand how data science fits in your organization—and how you can use it for competitive advantageTreat data as a business asset that requires careful investment if you’re to gain real valueApproach business problems data-analytically, using the data-mining process to gather good data in the most appropriate wayLearn general concepts for actually extracting knowledge from dataApply data science principles when interviewing data science job candidates
But how does one exactly do data science? Do you have to hireone of these priests of the dark arts, the "data scientist," toextract this gold from your data? Nope.
Data science is little more than using straight-forward steps toprocess raw data into actionable insight. And in DataSmart, author and data scientist John Foreman will show you howthat's done within the familiar environment of aspreadsheet.
Why a spreadsheet? It's comfortable! You get to look at the dataevery step of the way, building confidence as you learn the tricksof the trade. Plus, spreadsheets are a vendor-neutral place tolearn data science without the hype.
But don't let the Excel sheets fool you. This is a book forthose serious about learning the analytic techniques, the math andthe magic, behind big data.
Each chapter will cover a different technique in aspreadsheet so you can follow along:Mathematical optimization, including non-linear programming andgenetic algorithmsClustering via k-means, spherical k-means, and graphmodularityData mining in graphs, such as outlier detectionSupervised AI through logistic regression, ensemble models, andbag-of-words modelsForecasting, seasonal adjustments, and prediction intervalsthrough monte carlo simulationMoving from spreadsheets into the R programming language
You get your hands dirty as you work alongside John through eachtechnique. But never fear, the topics are readily applicable andthe author laces humor throughout. You'll even learnwhat a dead squirrel has to do with optimization modeling, whichyou no doubt are dying to know.
This book is directed to the researchers, graduate students, professors, decision makers and to those who are interested to investigate intelligent paradigms in decision making.