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MISC. Books Urdu

Life And Time of Molana Abul-Kalam Azad

Life And Time of Molana Abul-Kalam Azad
Patna: K.P. Jayaswal Research Institute, 1993. 536p. (E.)
Sinha, C.P. (Ed.) سنچا سی پی
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MISC. Books Urdu

Historical Research In India

Historical Research In India
تاریخ کی تحقیق ہند میں
Correia-Afonso, John (Ed.) کورعا افنسو
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MISC. Books Urdu

Indian Historical Research

Indian Historical Research
ھند کی تاریخی تحقیق
Banerjee, Tarasankar بابرجی
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Computer Books Science

Top 10 Free Books And Resources For Learning TensorFlow

TensorFlow, the open source software library developed by the Google Brain team, is a framework for building deep-learning neural networks. It is also considered one of the best ways to build in-depth learning models by people learning by machine, around the world. In deep learning models, which rely on a lot of data and computer resources, TensorFlow is used considerably.

Given its flexible architecture for easy deployment on different platforms such as CPUs, GPUs, and TPUs, TensorFlow remains one of the favorite libraries to get into ML. The huge popularity also means that tech enthusiasts are constantly looking to learn more and work more with this library. Although many tutorials, books, projects, videos, white papers, and other resources are available, we offer you these 10 free resources to get started with TensorFlow and get your concepts clear. The list is not in a specific order.

1 – Tutorial By TensorFlow (Website):
What a better source than the makers themselves! These tutorials offered by TensorFlow on their website are the perfect tools to get hands-on training. The tutorial starts with training your first neural network based on image classification and progresses further with the use of tf.keras, a high-level API used to build and train models. It also contains advanced knowledge of text classification, regression and other concepts. You can also learn to save, restore, share and recreate your work. Click here to take a tutorial.

2 – TensorFlow White Paper (paper):
This preliminary white paper by Google researchers talks about programming models and basic concepts of TensorFlow. Titled large-scale machine learning on a heterogeneous distributed system, the paper starts with a brief introduction to the concept and starts to talk extensively about examples of TensorFlow operation types, implementation, implementation in a single device and multiple devices. Along with other important concepts, this document also has a detailed schematic explanation of the concepts. Click here to read it.

3 – Stanford course on Tensorflow For Deep Learning Research (PPT):
With this course from Stanford University, you can download notes and slides that are completely focused on Tensorflow for in-depth research. The entire course is based on TensorFlow, which makes it very easy for the user to get a thorough basic understanding of TensorFlow. It also contains course material on setting up the TensorFlow, basic operations, TensorFlow optimizers, examples of image classification, reinforcement learning and much more. Click here to read it.

4 – First Contact With TensorFlow: Getting started with Deep Learning Programming by Jordi Torres (EBook):
This book by Jordi Torres, a professor and researcher at UPC and BSC, was written during a Christmas holiday to share his knowledge of TensorFlow with his students. It includes a practical approach to learning TensorFlow, starting with the basics, to understand multi-layer neural networks. It deals in detail with concepts such as linear regression, clustering and single-layer neural networks. Although it was launched with the intention of equipping its students with the basic principles of TensorFlow, it has now gone viral because it was of great value to many students and practitioners. Although it is based on the old TensorFlow release (TensorFlow-0.5.0), it is a good reading method for introduction to the topic.  Click here to read it.

5 – Getting started with TensorFlow by Giancarlo Zaccone (EBook):
This is one of the best sources to help you get started with TensorFlow engine, a robust, user-friendly and customizable ML-code software library for deep learning and neural networks. It starts with an introduction to the basics, followed by details about creating programs with TensorFlow. It would help you solve mathematical concepts, ML and in-depth learning concepts along the way.  Claim your free book here.

6 – Learning TensorFlow by Itay Lieder, Tom Hope, Yehezkel S. Resheff (Ebook):
This book provides an end-to-end guide to TensorFlow, which allows you to train and build neural networks for computer vision, NLP, speech recognition, general predictive analysis and others. The book emphasizes practical and practical approaches to TrumpFlow principles before you delve into deeper concepts. After reading the book you could get a thorough detail from TensorFlow, build in-depth learning models, scale up TF and implement TF in the production setting.  Click here to read.

7 – TensorFlow self-study by Bharath Ramsundar (slides):
This reading slides by B Ramasundar is an excellent introduction to TensorFlow that draws many parallels between NumPy and TensorFlow codes. He has given details such as NumPy to TensorFlow dictionary, linear regression in TF, gradient calculation and others in his descriptive slides. Get to know the basics of TensorFlow with these slides. Click here to read.

8 – Deep learning with TensorFlow By Cognitive Class (online course):
Cognitive Class, an initiative of IBM, aims to democratize access to learning data science and cognitive computing. This Cognitive Class course focuses on this ideology that is free for ML enthusiasts. Something at an advanced level is suitable for anyone who is interested in improving his skills in machine learning, deep learning, and TensorFlow. It includes in-depth sources, from introduction to TensorFlow to CNN, RNN and other areas. This course with your own pace can be taken at any time.  Click here to read.

9 – TensorFlow: a large-scale machine learning system (paper):
This article by Google brain researchers is a good tool to get understanding and work in TensorFlow. With different use cases and implementation of different models, this article attempts to describe the TensorFlow data stream model as opposed to existing systems. It also explains image classification, language modeling and others using TensorFlow. Click here to read.

10 – Free Github resources:
There are many sources available on Github that explain how TensorFlow works. These are from novice to advanced ML enthusiasts who want to explore TensorFlow skills. This course on Github covers, for example, the basic principles, regression, classification, clustering and other details of TensorFlow.  Whereas, another Github course talks details about the simple linear model, CNN, C Keras API, and others. Here is another instance of TensorFlow resources on Github.

Categories
Miscellaneous Science

Representation in Cognitive Science

Large book cover: Representation in Cognitive Science

Representation in Cognitive Science

by

Publisher: Oxford University Press
ISBN-13: 9780198812883
Number of pages: 305

Description:
Drawing on this cutting-edge research, Nicholas Shea uses a series of case studies from the cognitive sciences to develop a naturalistic account of the nature of mental representation. His approach is distinctive in focusing firmly on the ‘subpersonal’ representations that pervade so much of cognitive science.

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Miscellaneous Science

Computability, Unsolvability, Randomness

Computability, Unsolvability, Randomness

by

Publisher: The Pennsylvania State University
Number of pages: 151

Description:
I exposit Turing’s 1936 theory of computability and unsolvability, as subsequently developed by Kleene and Post. This theory is of the essence in theoretical computer science and in the study of unsolvable mathematical problems. Second, I provide an introductory account of a research area which is currently very active: algorithmic randomness and Kolmogorov complexity.

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Miscellaneous

New Trends in High Voltage Engineering

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New Trends in High Voltage Engineering

by

Publisher: InTech
ISBN-13: 9781789849035
Number of pages: 62

Description:
In this book, research is carried out on nano-doping effects on the performance and future development of polypropylene nano-composites. Also, the characteristics of CF3I gas and its combination with nitrogen by experimental results are investigated. The book also discusses the effect of harmonic resonance on the insulation.

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Miscellaneous

20 Books That Will Help You To a Better Stronger Life

20 popular titles that can help you be a better and stronger person. Use them for your next year’s resolution, for research, to get things moving or in any efforts that you’re taking for a more awesome life.


Here are the books:-

  1. Deep Work: Rules for Focused Success in a Distracted World by Cal Newport
  2. The Subtle Art of Not Giving a F*ck: A Counterintuitive Approach to Living a Good Life by Mark Manson
  3. The Way to Love: The Last Meditations of Anthony de Mello by Anthony de Mello
  4. But What If We’re Wrong by Chuck Klosterman
  5. Rules for Radicals: A Practical Primer for Realistic Radicals by Saul Alinsky
  6. The Filter Bubble by Eli Pariser
  7. The Brass Check by Upton Sinclair
  8. 48 Laws of Power / 33 Strategies of War by Robert Greene
  9. Conspiracy: Peter Thiel, Hulk Hogan, Gawker, and the Anatomy of Intrigue by Ryan Holiday
  10. The Road To Character by David Brooks
  11. The Dip by Seth Godin
  12. Hillbilly Elegy: A Memoir of a Family and Culture in Crisis by J. D. Vance
  13. Strangers in Their Own Land: Anger and Mourning on the American Right by Arlie Russell Hochschild
  14. It Can’t Happen Here by Sinclair Lewis
  15. How to Live: Or A Life of Montaigne in One Question and Twenty Attempts at an Answer by Sarah Bakewell
  16. Tribe: On Homecoming and Belonging by Sebastian Junger
  17. The Years of Lyndon Johnson (4 Volumes) by Robert A. Caro
  18. The Last Lion: Winston Spencer Churchill (3 Volumes) by William Manchester
  19. Mr. Eternity by Aaron Thier
  20. The Count of Monte Cristo by Alexandre Dumas

 

Categories
Miscellaneous

The Big Data Agenda: Data Ethics and Critical Data Studies

Large book cover: The Big Data Agenda: Data Ethics and Critical Data Studies

The Big Data Agenda: Data Ethics and Critical Data Studies

by

Publisher: University of Westminster Press
ISBN-13: 9781911534730
Number of pages: 156

Description:
This book highlights that the capacity for gathering, analysing, and utilising vast amounts of digital (user) data raises significant ethical issues. Annika Richterich provides a systematic contemporary overview of the field of critical data studies that reflects on practices of digital data collection and analysis. The book assesses in detail one big data research area: biomedical studies, focused on epidemiological surveillance.

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Miscellaneous

Mineralogy of Quartz and Silica Minerals

Large book cover: Mineralogy of Quartz and Silica Minerals

Mineralogy of Quartz and Silica Minerals

by

Publisher: MDPI AG
ISBN-13: 9783038973492
Number of pages: 276

Description:
The present book reports recent contributions from research in the field of quartz and other silica minerals. The various forms of silica (SiO2) represent important constituents of the Earth crust and play a central role in the composition of geological materials. In particular, quartz is widely used as a raw material in numerous industrial sectors. The knowledge of the formation and specific properties of SiO2 rocks and minerals is indispensable for the understanding and reconstruction of geological processes, as well as for specific technical applications.

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