What sectors are likely to adopt artificial intelligence/cognitive technologies to the greatest degree over the next five years?

Artificial intelligence is probably the wrong terminology that will see advancement over the next several years; machine learning and associated learning technologies will be the ones to watch.One thing about machine learning is that in many cases it is synonymous with assisted

Are data analyst/data science jobs boring?

Yes - this is more of a fundamental value question.  With any job, there are two aspects at play:What are the requirements of the job?How do you perceive your work?While you can slightly modify elements of (1), there is often little you can do that won't result

Can Microsoft make R easy?

I believe the question means "Can Microsoft make R more accessible and simpler to use?", and the answer is yes.Microsoft acquired Revolution Analytics in 2015, and since then, they have released Microsoft R Open (For the details of how Microsoft R is

How to use Microsoft Cognitive Services and Bot Framework for my final year project

Here's how you can begin with:Take a good use case like Flight Booking System / Food Delivery System / Movie Booking System.Design a IEEE SRS for the same and be clear with the requirements from the start.Think about the conversation flow, the dialogs. The dialog switching

Who are most influential people in Big Data/Data Science?

It is hard to answer because the borders of Big Data and/or Data Science is not clear. A biostatistician is a Big Data researcher because s/he needs to deal with DNA coding etc. An economist can be a Big Data researcher if s/he focuses on large consumer behavior (e.g., scanner data

What is data science, big data and machine learning?

FromCognitive Computing and Artificial IntelligenceAnalytics and Business Intelligencehere are the definitions:Machine learning: giving computers the ability to learn without being explicitly programmed; a method of data analysis that automates analytical model building; using algorithms that iteratively learn from data to find hidden insights without being explicitly programmed

Where is the science in data science?

Many would think that it is important to investigate the concept of data first. Data is a symbol of the recorded past. Such symbols can be numbers, or letters, or even images. Something that is discrete enough to allow for categorization. When we try make sense of the world we do it by categorizing our sensory inputs which

Which artificial intelligence technologies are likely to advance the most over the next 5 years?

This is not an exhaustive list:Chat bots: That is the most likely AI technology we will see and will advance in the next 5 years, we will see many chat bots succeeding Turing test and even break it. Chat bots will be more accurate and more

What does a data scientist need to know about Random Forests?

Things you need to know in theory:Bagging and how bootstrapping is doneHow not all features are selected for every tree, in effect decorrelating the treesHow do random forests decrease variance?Does it run in parallel or does it run sequentially? ( It runs all the trees in parallel unlike gradient boosting)These will be good enough

What kind of machine learning algorithms do the driverless cars use?

With more and more control of driving being relinquished to the in-vehicle computers, it is imperative that those computers emulate the functions of a human brain. Human drivers learn the

How to think Kaggle competitions will change over the next 10 years

This is simply my own conjecture, as I obviously do not know, but my guesses are:I think more people will use Auto-ML software like DataRobot, TPOT, and others to automate most of the steps for them and will spend less time doing the modeling themselves.Secondly, I think because the Supervised Learning competitions will take less time and

Is Microsoft's Cortana a blatant copy of Apple's Siri?

Microsoft didn't just magically build a digital assistant in two years - the company is leveraging investments in data gathering that it has been making for half a decade. Cortana relies on Bing's backend services for the majority of its features, and that's backed up by thousands of servers crunching data in the background. Microsoft's Windows Phone team

Which is better: Zipfian or Metis for data science bootcamp?

This is inherently a difficult question to answer, as only someone who attended Metis AND Zipfian could provide a true comparison. (And, to my knowledge, no one has attended both.)I am obviously partial to Metis, and I don't think Quora should deteriorate into a platform for

What are some interesting data science projects for beginners?

Kaggle is your friend.Sign up and try any of their competitions. I would suggest starting with the Titanic competition or something like that to first familiarize yourself with the following concepts:EDAImputationModel trainingModel evaluationetc.

What is the future of data science?

Debunking the myth of the data science bubbleWe've all read articles indicating the looming decline of data science. Some coined the term ‘data science bubble,' some even went so far as set a date for the ‘death of data-science' (they give it five years before the bubble implodes). This reached a point where anyone

For learning data science, is Data Camp better than Coursera's data science specialization?

Having undergo-ed Python training with the Duo. I'd lean more to Datacamp for ease of learning and assimilation. I'm afraid to say the mode of teaching on Cousera which is more of Video is not the best fit for a practical oriented course. This definitely is what gives Datacamp an

Which is better: zipfian or insight for data science bootcamp?

Both are great in-person programs.Insight is a fellowship program. They only take the cream-of-the-crop PhD graduates. In many cases, these students could easily get data science jobs with a little bit of self-study. Their program is also only 7 weeks, so you clearly do not learn as much as a traditional 12 week in-person bootcamp or 24

Being a student of B.Sc Statistics, what are the available options I can go for in the same field except M.Sc Statistics. Which will be better in Data Science, AI or ML?

There are n numbers of options available as a statistics graduate.Coming to the first part of your question (what are the available options I can go for in the same field except M.Sc Statistics),First of all, I will advice you to complete a Doctorate degree from Tier 1 institute (if time allows you)

What are some good data science projects for CS students?

1) Yelp Dataset Challenge2) The Home of Data Science3) Description - Heritage Health Prize4) Hit Prediction - Pop Hit Prediction Algorithm Mines 50 Years of Chart-Toppers for Data5) Using classification and NLP to tell if tweets

How is DevOps related to data science?

Well, they are not related in a conventional sense. It does not have to do with data and its analysis - at first glanceHowever, DevOps is very much recommended to implement in data-driven organizations, specifically if they rely on fast data. What

Is Microsoft's Cortana a blatant copy of Apple's Siri?

Microsoft didn't just magically build a digital assistant in two years - the company is leveraging investments in data gathering that it has been making for half a decade. Cortana relies on Bing's backend services for the majority of its features, and that's backed up by thousands of servers crunching data in the background. Microsoft's Windows Phone team

What are some interesting data science projects for beginners?

Kaggle is your friend.Sign up and try any of their competitions. I would suggest starting with the Titanic competition or something like that to first familiarize yourself with the following concepts:EDAImputationModel trainingModel evaluationetc.

How to think Kaggle competitions will change over the next 10 years

This is simply my own conjecture, as I obviously do not know, but my guesses are:I think more people will use Auto-ML software like DataRobot, TPOT, and others to automate most of the steps for them and will spend less time doing the modeling themselves.Secondly, I think because the Supervised Learning competitions will take less time and

Is Microsoft's Cortana a blatant copy of Apple's Siri?

Microsoft didn't just magically build a digital assistant in two years - the company is leveraging investments in data gathering that it has been making for half a decade. Cortana relies on Bing's backend services for the majority of its features, and that's backed up by thousands of servers crunching data in the background. Microsoft's Windows Phone team

Being a student of B.Sc Statistics, what are the available options I can go for in the same field except M.Sc Statistics. Which will be better in Data Science, AI or ML?

There are n numbers of options available as a statistics graduate.Coming to the first part of your question (what are the available options I can go for in the same field except M.Sc Statistics),First of all, I will advice you to complete a Doctorate degree from Tier 1 institute (if time allows you)

Which is better: Zipfian or Metis for data science bootcamp?

This is inherently a difficult question to answer, as only someone who attended Metis AND Zipfian could provide a true comparison. (And, to my knowledge, no one has attended both.)I am obviously partial to Metis, and I don't think Quora should deteriorate into a platform for

Which is better: zipfian or insight for data science bootcamp?

Both are great in-person programs.Insight is a fellowship program. They only take the cream-of-the-crop PhD graduates. In many cases, these students could easily get data science jobs with a little bit of self-study. Their program is also only 7 weeks, so you clearly do not learn as much as a traditional 12 week in-person bootcamp or 24

How do telecommunications networks work?

What Is Telecommunication Network:A communication network is a collection of transmitters, receivers, and communications channels that send messages to one another.Some digital communications networks contain one or more routers that work together to transmit information to the correct user.Some Examples Of Telecommunications Networks are:Telephone Network:A telephone network is a telecommunication network used for telephone calls between

What is genomic data science?

Genomic data science applies statistics and computer science to the genome. The goal is to understand, analyze, and interpret information from genome sequences.

Will machine learning be the next internet?

It will be indeed. AI has been around for a long time, but only recently we started to understand the finer distinctions. Within AI is a set of techniques called machine learning, enabling computers to get better at tasks with practice. And within machine learning

What is the future of data science?

Debunking the myth of the data science bubbleWe've all read articles indicating the looming decline of data science. Some coined the term ‘data science bubble,' some even went so far as set a date for the ‘death of data-science' (they give it five years before the bubble implodes). This reached a point where anyone

Which is better: zipfian or insight for data science bootcamp?

Both are great in-person programs.Insight is a fellowship program. They only take the cream-of-the-crop PhD graduates. In many cases, these students could easily get data science jobs with a little bit of self-study. Their program is also only 7 weeks, so you clearly do not learn as much as a traditional 12 week in-person bootcamp or 24

Being a student of B.Sc Statistics, what are the available options I can go for in the same field except M.Sc Statistics. Which will be better in Data Science, AI or ML?

There are n numbers of options available as a statistics graduate.Coming to the first part of your question (what are the available options I can go for in the same field except M.Sc Statistics),First of all, I will advice you to complete a Doctorate degree from Tier 1 institute (if time allows you)

Will machine learning be the next internet?

It will be indeed. AI has been around for a long time, but only recently we started to understand the finer distinctions. Within AI is a set of techniques called machine learning, enabling computers to get better at tasks with practice. And within machine learning

What is genomic data science?

Genomic data science applies statistics and computer science to the genome. The goal is to understand, analyze, and interpret information from genome sequences.

What is the future of data science?

Debunking the myth of the data science bubbleWe've all read articles indicating the looming decline of data science. Some coined the term ‘data science bubble,' some even went so far as set a date for the ‘death of data-science' (they give it five years before the bubble implodes). This reached a point where anyone

Being a student of B.Sc Statistics, what are the available options I can go for in the same field except M.Sc Statistics. Which will be better in Data Science, AI or ML?

There are n numbers of options available as a statistics graduate.Coming to the first part of your question (what are the available options I can go for in the same field except M.Sc Statistics),First of all, I will advice you to complete a Doctorate degree from Tier 1 institute (if time allows you)

Will machine learning be the next internet?

It will be indeed. AI has been around for a long time, but only recently we started to understand the finer distinctions. Within AI is a set of techniques called machine learning, enabling computers to get better at tasks with practice. And within machine learning

How do telecommunications networks work?

What Is Telecommunication Network:A communication network is a collection of transmitters, receivers, and communications channels that send messages to one another.Some digital communications networks contain one or more routers that work together to transmit information to the correct user.Some Examples Of Telecommunications Networks are:Telephone Network:A telephone network is a telecommunication network used for telephone calls between

Which is better: Zipfian or Metis for data science bootcamp?

This is inherently a difficult question to answer, as only someone who attended Metis AND Zipfian could provide a true comparison. (And, to my knowledge, no one has attended both.)I am obviously partial to Metis, and I don't think Quora should deteriorate into a platform for

What are some interesting data science projects for beginners?

Kaggle is your friend.Sign up and try any of their competitions. I would suggest starting with the Titanic competition or something like that to first familiarize yourself with the following concepts:EDAImputationModel trainingModel evaluationetc.

What are some good data science projects for CS students?

1) Yelp Dataset Challenge2) The Home of Data Science3) Description - Heritage Health Prize4) Hit Prediction - Pop Hit Prediction Algorithm Mines 50 Years of Chart-Toppers for Data5) Using classification and NLP to tell if tweets

Which is better: zipfian or insight for data science bootcamp?

Both are great in-person programs.Insight is a fellowship program. They only take the cream-of-the-crop PhD graduates. In many cases, these students could easily get data science jobs with a little bit of self-study. Their program is also only 7 weeks, so you clearly do not learn as much as a traditional 12 week in-person bootcamp or 24

What will the job prospects for actuaries look like over the next 20 years, given the rise of machine learning?

Probably will be a hybrid of traditional actuarial science and machine learning. The journals associated with professional actuarial societies are already trending towards machine learning hybrids, and I'd imagine this will only increase as new methods are developed that are more amenable to actuarial regulations.

How to think Kaggle competitions will change over the next 10 years

This is simply my own conjecture, as I obviously do not know, but my guesses are:I think more people will use Auto-ML software like DataRobot, TPOT, and others to automate most of the steps for them and will spend less time doing the modeling themselves.Secondly, I think because the Supervised Learning competitions will take less time and

What are some mind-blowing facts about data science?

Data science is a technology used for analyzing large amount of data. It is the analysis for source of information, content of the information and how that information could be transformed into a valuable asset for creating business opportunities and information technology strategies. Data science includes data discovery, which uses the data inference and exploration techniques. It also