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Incegna, Hyderabad (2026)

17/02/2021

“While data scientist remains a thriving role, we’re seeing high demand for front end engineers with over 13,000 open roles, nearly double the number of data scientist open jobs,” Glassdoor wrote in January. “In addition to numerous open jobs, front end engineers report competitive salaries and high job satisfaction.”

After growing quickly from 1,700 job postings in 2016 to 4,500 in 2018, growth in data scientist job postings were flat from 2019 to 2020 at around 6,500, according to Glassdoor. A similar trend was on display at Dice, with data scientist falling two positions to 43rd place. The top jobs, according to Dice, didn’t change at all: software developer, project manager, network engineer, systems engineer, and senior software developer retained the one through five spots, respectively.

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Contact Us : 8297 935 395

16/02/2021

Deep learning has offered noteworthy capabilities and advances in voice recognition, image comprehension, self-driving car, natural language procession, search engine optimization and more. Did you know that despite such promising scope of deep learning, this variant of artificial intelligence garnered huge sensation in the third iteration i.e. the 2000s-present.

With the emergence of GPUs, deep learning could progress beyond its competition on a plethora of benchmarks and real-world applications. Even the computer vision (one of common use cases of deep learning) community was fairly skeptical until AlexNet demolished all its competitors on ImageNet, in 2011.

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-learning #2021

09/10/2020

🧠 Can you ace this data science interview question?

👉🏻 Comment down below your answer!

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09/10/2020

FREE 2 day online this weekend, where you will Master data science and machine learning from home with help of an industry epxerts. includes a live project to process large volume of data on with

key Highlights of the workshop :
1.learn how data science solves real world problems across industries.
2.Extract, transform and load data using language
3.coding machine-learning learning algorithm
4.analyze covid-19 cases in the world and plenty more!!
5.understand the community mobility during the lockdown

DON'T WAIT, REGISTER NOW!! (linkinBio)

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Contact Us : 8297935395

-learning

11/09/2020

The distribution of a variable is a description of the relative numbers of times each possible outcome will occur in a number of trials.

Formally, a distribution can be defined as a normalized measure, and the distribution of a random variable x is the measure P_x on S^' defined by setting
P_x(A^')=P{s in S:x(s) in A^'},

where (S,S,P) is a probability space, (S,S) is a measurable space, and P a measure on S with P(S)=1.

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.

11/09/2020

Congratulations!! Aarti singh for scuccessful journey with INCEGNA and new job at HITACHI as Machine Learning Engineer with 16lakhs huge package, We wish you more success in future

Check our Info : www.incegna.com
Reach us : [email protected]
Contact Us : 8297935395

11/09/2020

Congratulations!! Aarti singh for scuccessful journey with INCEGNA and new job at HITACHI as Machine Learning Engineer with 16lakhs huge package, We wish you more success in future

Check our Info : www.incegna.com
Reach us : [email protected]
Contact Us : 8297935395

-learning

10/09/2020

What Is R-Squared?
R-squared (R2) is a statistical measure that represents the proportion of the variance for a dependent variable that's explained by an independent variable or variables in a regression model. Whereas correlation explains the strength of the relationship between an independent and dependent variable

Calculating R-Squared
This includes taking the data points (observations) of dependent and independent variables and finding the line of best fit, often from a regression model. From there you would calculate predicted values, subtract actual values and square the results. This yields a list of errors squared, which is then summed and equals the unexplained variance
Check our Info : www.incegna.com
Reach us : [email protected]
Contact Us : 8297935395

10/09/2020

What Is R-Squared?
R-squared (R2) is a statistical measure that represents the proportion of the variance for a dependent variable that's explained by an independent variable or variables in a regression model. Whereas correlation explains the strength of the relationship between an independent and dependent variable

Check our Info : www.incegna.com
Reach us : [email protected]
Contact Us : 8297935395

@ Bangalore, India

09/09/2020

are you Eagerly waiting for next summit slots??...
Here the wait ends... finally launching for next summit with industry experts all over the world on tomorrow .
Having doubts on how to boost your Career with machine learning?? need any background ?? need any Coding skills?? what are opportunities in industry?? to clarify all doubts let's kick-start now...
Grab the opportunity before slots close..
contact - 8297 935 395
web - www.incegna.com
email - [email protected]

.
-learningconference

09/09/2020

📈 Let’s imagine you are attempting to work on a machine learning project. This diagram will provide you with the step to step guide on the process that you can follow to implement a successful project.
In a nutshell, a machine learning project has three main parts:
1. Data Understanding, Data Gathering and Cleaning
2. Model Selection & Implementation
3. Model Parameters & Data Tuning.
More about it on:
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03/09/2020

hey you know thw beauty of Data science??? the range of packages for Machine learning Engineers?? 30 laks.... yes... 30laks package are offering all MNC's. But the bad things is there is no sufficient Developers are available in present market... more than 10laks jobs are still waiting for you to predict the future with Data science.
what are you waiting for.. just register now and make your career in to Data scientist.
To know more..
contact - 8297 935 395
Web: www.incegna.com
Reg Link for Programs : http://www.incegna.com/contact-us
Follow us on
linkedin- https://www.linkedin.com/in/incegna-4210ab19a/
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instagram- https://www.instagram.com/_incegna/
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Incegna

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Monday	9am - 8pm
Tuesday	9am - 8pm
Wednesday	9am - 8pm
Thursday	9am - 8pm
Friday	9am - 8pm
Saturday	9am - 8pm
Sunday	9am - 2pm