#TechGeek

What to do before Your SAP Interview

noreply@blogger.com (Rajtilak Bhattacharjee) — Sat, 13 Nov 2021 12:05:00 +0000

Need guidance to face your SAP interview? These tips & details will help you build the confidence you need.

Have The SAP-Pre-Interview Jitters?

The prospect of facing an interview is always nerve-wracking, especially if it concerns a job in the IT industry. The competition is fierce, and the expectations are sky-high. Besides, there are so many things that could go wrong despite your hard work. If your upcoming SAP job interview is causing you this anxiety, it's perfectly understandable. Since SAP ranks as one of the highest-paying positions in the industry, you will likely be competing against other highly talented candidates.

Reset Windows 10 Password using PowerShell

noreply@blogger.com (Rajtilak Bhattacharjee) — Thu, 22 Jul 2021 05:50:00 +0000

Resetting Windows 10 passwords can be a pain, especially if you are unable to get in to your account, i.e. you are unable to login. Here’s a simple way to reset your Windows 10 password using the Windows 10 PowerShell. If you haven’t used the Windows 10 PowerShell before, this is a good place to start since it will give you an idea of how useful yet how simple and easy to use it can be.

How to study Machine Learning quickly before an Interview?

noreply@blogger.com (Rajtilak Bhattacharjee) — Sat, 03 Apr 2021 14:53:00 +0000

If you follow me on LinkedIn, you will often see me sharing interview questions related to Machine Learning, Deep Learning, Statistics, Data Science, along with sharing other goodies. But what if you do not have the time to go through those questions and answers?

3 Secrets I learned working as a Machine Learning Engineer

noreply@blogger.com (Rajtilak Bhattacharjee) — Mon, 29 Mar 2021 15:20:00 +0000

Doing certifications is not enough, you need to do some hands-on (no, this is not one of the secrets). So, even though I was a trained Machine Learning Engineer, until I started working with CloudxLab I didn't know these 3 secrets which every Machine Learning Engineer and Data Scientist should know.

How not knowing Conda Environments makes You a Rookie

noreply@blogger.com (Rajtilak Bhattacharjee) — Thu, 21 Jan 2021 15:52:00 +0000

I'll be honest with you, when I started my journey as a Machine Learning Engineer I never knew how to use a Conda Environment to my advantage, or why I should use it at all! Until I learned about it at work, and now I cannot live without it. Why? For a peaceful life! Trust me when I say this, you too would be relieved to know about what the Conda Environment does, and how you can use it to solve real life problems. So, here's to global peace!

Learn DevOps for Free during January 2021!

noreply@blogger.com (Rajtilak Bhattacharjee) — Tue, 19 Jan 2021 14:18:00 +0000

Earlier this month, CloudxLab started a great initiative called #NoPayJan. They made some of their most popular courses completely free of cost, just for the month of January 2021!

Bring your Machine Learning ideas to life with Microsoft, with zero coding (almost)

noreply@blogger.com (Rajtilak Bhattacharjee) — Fri, 30 Oct 2020 14:41:00 +0000

The internet is full of advice on how you can start your Machine Learning journey, how you need to spend years mastering the mathematics behind Machine Learning before you can actually start learning it, and even then how difficult it is to learn. Do not believe those naysayers.

As each day passes by, we are taking baby steps to ensure that Machine Learning is accessible to everyone, no matter their educational background. Because more than the mathematics, Machine Learning needs ideas. And latest in this path to make Machine Learning accessible to everyone, we have an offering from Microsoft; Lobe.

How to Ace that Coding Interview?

noreply@blogger.com (Rajtilak Bhattacharjee) — Mon, 12 Oct 2020 15:06:00 +0000

This is exactly what every course on coding will teach you. No, they won't. These courses will teach you how to code, but when it comes to facing the interview, most of these courses will have no expertise to share with you. But, you guessed it right, I will tell you how to ace that coding interview.

Creating UI for your ML model using Gradio

noreply@blogger.com (Rajtilak Bhattacharjee) — Sun, 11 Oct 2020 15:40:00 +0000

More often than not, you will have a Machine Learning course showing you how to prepare the data, create the model, and evaluate it. You'll have a number in the end, it can be anything from RMSE to loss, accuracy, to tell you how your model performed, and that would be the end of it. But that is not the end of it, because you have another equally important step left, deployment. Now, you may not actually deploy your model to production, but you can definitely test it by creating an UI for others to be able to use it.

Will Programmers become obsolete in future because of this Jupyter extension?

noreply@blogger.com (Rajtilak Bhattacharjee) — Sat, 10 Oct 2020 16:51:00 +0000

Since the time GPT-3 arrived on the scene, there have been talk about whether programmers will becomes obsolete in future. This might seem like a distant dream, but Kartik Godawat and Deepak Rawat has already transformed this into somewhat of a reality.

Online Course on Introduction to R Programming and Data Analytics by IIT Kharagpur

noreply@blogger.com (Rajtilak Bhattacharjee) — Sat, 10 Oct 2020 16:47:00 +0000

The Vinod Gupta School of Management, Indian Institute of Technology (IIT), Kharagpur is organizing an online, short term, weekend course on Introduction to R Programming and Data Analytics from November 7 to 27, 2020. Anyone can enroll for this course, and since this course will be conducted during the weekends it would be easier for someone who is working during the weekdays, or have regular classes, to be able to complete this course without disturbing their regular schedule.

Will QLattice ever rule the World?

noreply@blogger.com (Rajtilak Bhattacharjee) — Sat, 10 Oct 2020 16:45:00 +0000

To answer that question, yes, or atleast I hope so. Because that would mean making life so much easier for Machine Learning Engineers, enthusiasts, and beginners equally. How? Well, I'll tell you that in a bit. But first, let me tell you what is QLattice.

Save yourself hours of Data Analysis with this single line of Python code

noreply@blogger.com (Rajtilak Bhattacharjee) — Sat, 10 Oct 2020 16:42:00 +0000

I am sure you have heard of "work smart, not hard." But did you know how to apply it in real life when you are doing Exploratory Data Analysis (EDA) on a dataset?

New Language Model Outperforms GPT-3 with Lesser Parameters

noreply@blogger.com (Rajtilak Bhattacharjee) — Sat, 10 Oct 2020 16:38:00 +0000

GPT-3 has been turning heads with it's extraordinary 175 Billion parameters performance, so much so that Microsoft partnered with OpenAI for an exclusive license to it. But recently, in a paper published on arXiv by Timo Schick and Hinrich Schutze from the Center for Information and Language Processing (Ludwig Maximilian University, Munich), it was shown that the same performance can be achieved by a language model using only a tiny fraction of those many parameters.

Learn Image Stitching with OpenCV through this Hands-on Project

noreply@blogger.com (Rajtilak Bhattacharjee) — Sat, 10 Oct 2020 16:30:00 +0000

So what is Image Stitching?
According to Wikipedia, image stitching or photo stitching is the process of combining multiple photographic images with overlapping fields of view to produce a segmented panorama or high-resolution image. Here's what it looks like:

How much Math is required for Machine Learning?

noreply@blogger.com (Rajtilak Bhattacharjee) — Sat, 10 Oct 2020 16:18:00 +0000

This is a question that plagues thousands of learners of Machine Learning, how much math do we need to learn before we can start working on a Machine Learning project? I have seen learners practicising their mathematics skills for months before giving up, and other who quit without even trying because they didn't take up math during college. Don't let that happen to you.

A Foolproof Guide to Python Tutorials

noreply@blogger.com (Rajtilak Bhattacharjee) — Sat, 10 Oct 2020 16:15:00 +0000

The first thing that you will need to begine your Machine Learning journey is a solid programming background. But then, you must be wondering, "What does he mean by programming background? Do I need to learn the inside out of a programming language? Any language? Will FORTRAN do the work, cause I picked it up in high school?" Let me answer them, one at a time.

How to enable Code Scanning on GitHub?

noreply@blogger.com (Rajtilak Bhattacharjee) — Sat, 10 Oct 2020 16:11:00 +0000

About a year ago, GitHub welcomed Semmle. A quick background on Semmle, they were formed in 2006 with the unique idea that a source code can be queried like any other type of data. Trusted by security teams over at Uber, NASA, Microsoft, Google, to name a few, Semmle has helped find thousands of vulnerabilities in some of the largest codebases in the world, as well as over 100 CVEs in open source projects to date. Semmle has helped GitHub introduce a new, exciting, and extremely useful feature; code scanning!

Iris Dataset Classification using Radius Neighbors Classifier

noreply@blogger.com (Rajtilak Bhattacharjee) — Sat, 10 Oct 2020 16:07:00 +0000

The Iris dataset is like the "Hello World" of Machine Learning. This dataset was used in R.A. Fisher's classic 1936 paper, The Use of Multiple Measurements in Taxonomic Problems. You can find this dataset on Kaggle, and learn more about it from it's Wikipedia page, and on the UCI Machine Learning Repository.

Microsoft gets Exclusive GPT-3 License from OpenAI

noreply@blogger.com (Rajtilak Bhattacharjee) — Sat, 10 Oct 2020 16:01:00 +0000

Sometime in mid-July last year, Microsoft announced it would invest $1 billion in the San Francisco-based artificial intelligence research company OpenAI. Now, almost a year later, Microsoft broadened the scope of this multi-year partnership by getting an exclusive license of OpenAI's groundbreaking GPT-3 model.

Uncomplicate Python EDA with this Pandas GUI

noreply@blogger.com (Rajtilak Bhattacharjee) — Sat, 10 Oct 2020 15:55:00 +0000

Is Data Science really just for the technical staff? A question that plagues almost every organization thinking about upskilling the digital literacy of their employees. And the simple answer is, No.

Jupyter Book Revamped

noreply@blogger.com (Rajtilak Bhattacharjee) — Sat, 10 Oct 2020 15:49:00 +0000

Jupyter Book is an open-source project created for those developers/researchers who build creative, visually appealing, publication-quality books, websites, and documents from source material that contains computational content. Yesterday, on September 13th, Chris Holdgraf announced that Jupyter Book is getting a new makeover.

All You Need to Know about Data Mining Pipelines

noreply@blogger.com (Rajtilak Bhattacharjee) — Sun, 17 May 2020 04:35:00 +0000

Data mining is a process of collecting, cleaning, processing, analyzing and gaining useful insights of the data.
In present era, almost all automated processes like financial modelling, IoT, recommendation in retail marketing, use data. Data is mostly available in unstructured form that means it’s not possible to gain any insight from the data directly. That’s why data mining is needed to extract useful information from data. Through data mining, data is converted into one structured format so that it can be used more efficiently.

23 Best Machine Learning Books for 2020

noreply@blogger.com (Rajtilak Bhattacharjee) — Mon, 27 Apr 2020 15:04:00 +0000

Due to the Covid-19 lockdown, most of us have turned into autodidacts. Which is good since right now we have lot of time in our hands, and learning something new would be very helpful for our career. So, I thought why not curate a list of books that would help you learn Machine Learning. So, here's a list of 23 best Machine Learning books for 2020. Most of these books are available in the author's website for free, I have given the link to those too. Happy learning!

1. Deep Learning Book
- by Aaron Courville, Ian Goodfellow, and Yoshua Bengio
This book is freely available here.

2. The Elements of Statistical Learning
- by Jerome H. Friedman, Robert Tibshirani, and Trevor Hastie
This book is freely available here.

3. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
- by Aurelien Geron

4. Pattern Recognition and Machine Learning
- by Christopher Bishop
This book is freely available here.

5. An Introduction to Statistical Learning: With Applications in R
- by Gareth M. James, Trevor Hastie, Daniela Witten, Robert Tibshirani
This book is freely available here.

6. The Hundred-Page Machine Learning Book
- by Andriy Burkov

7. Understanding Machine Learning: From Theory to Algorithms
- by Shai Ben-David and Shai Shalev-Shwartz
This book is freely available here.

8. Mathematics for Machine Learning
- by A. Aldo Faisal, Cheng Soon Ong, and Marc Peter Deisenroth
This book is freely available here.

9. Data Science from Scratch
- by Joel Grus

10. Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference
- by Cameron Davidson-Pilon
This book is freely available here.

11. Python Data Science Handbook: Essential Tools for Working with Data
- by Jake VanderPlas
This book is freely available here.

12. Think Stats
- by Allen B. Downey
This book is freely available here.

13. Grokking Deep Learning
- by Andrew W. Trask
This book is freely available here.

14. The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World
- by Pedro Domingos

15. Foundations of Machine Learning
- by Afshin Rostamizadeh, Ameet Talwalkar, and Mehryar Mohri
This book is freely available here.

16. Machine Learning: The Art and Science of Algorithms that Make Sense of Data
- by Peter Flach

17. Bayesian Reasoning and Machine Learning
- by David Barber
This book is freely available here.

18. Machine Learning for Hackers
- by Drew Conway and John Myles White

19. Introduction to Machine Learning with Python: A Guide for Data Scientists
- by Andreas C. Müller and Sarah Guido

20. Introduction to Machine Learning
- by Ethem Alpaydın

21. Machine Learning: A Probabilistic Perspective
- by Kevin P. Murphy

22. Deep Learning with Python
- by François Chollet

23. Artificial Intelligence: A Modern Approach
- by Peter Norvig and Stuart J. Russell

Instagram uses AI to fight against Cyberbullying by introducing 'Caption Warning' feature

noreply@blogger.com (Rajtilak Bhattacharjee) — Tue, 17 Dec 2019 07:30:00 +0000

A couple of months back, Instagram had introduced a feature to Shadowban their cyberbullies who comments on photos with offensive or abusive language. And now, Instagram uses AI to introduce another feature called Caption Warning to prevent cyberbullying.