All marketers are familiar with the value of monitoring and analyzing web data and analytics. Most of the organizations are using Google Analytics to know the facts and figures of the organization. All extracted data leads to the efficiency, revenue growth and success of a business.
Source: HOB
351
When I joined Point Nine two and a half years ago, I knew nothing about Venture Capital. I am looking to learn about Data Science and Machine Learning everything online so I can do it from everywhere.
Source: HOB1305
Machine Learning is the term which we have been Hearing Now everywhere. When I Started My ML Journey Back in April 2016 I was like complete Noob having No Idea what ML is I used to Think does ML means that Machine are learning ?
Source: HOB426
Avoiding these common mistakes won't get you hired as Data Scientist. But not avoiding them guarantees your application a one-way ticket to the no pile.
Source: HOB1044
In Part-2 we have covered first 100 courses in number at an intermediate level. As i have classified these courses on the basis of difficulty level. You can find complete lists of the technology-related courses starting later in 2018 on Class Centrals Computer Science, Data Science, and Programming subject pages.I've sorted these courses into the following categories based on their difficulty level.
Source: HOB1293
Over the past 8 months, I've been interviewing at various companies like Wadhwani Institute for Artificial Intelliegnce, Google's DeepMind, Microsoft, Ola, Fractal Analytics, and a few others primarily for the roles-Data Scientist, Software Engineer & Research Engineer.
Source: HOB2034
How do you get a job in data science? Knowing enough statistics, machine learning, programming, etc to be able to get a job is difficult. One thing I have found lately is quite a few people may have the required skills to get a job, but no portfolio.
Source: HOB5067
Book recommendations by artificial intelligence and machine learning experts. We created a list of artificial intelligence and machine learning experts from different companies, startups, and universities -and scanned their Twitter profiles for book recommendations.
Source: HOB8031
Regardless of where you stand on the matter of Data Science sexiness, it's simply impossible to ignore the continuing importance of data, and our ability to analyze, organize, and contextualize it.
Source: HOB9432
I was asked recently on twitter a question that I've been asked in one form or another several times since I became a Senior Data Visualization Engineer at Netflix.
Source: HOB3771
People often ask me How can I learn Data Analytics? and I often stumble upon this question How to become a Data Analyst on Quora too. The answer is pretty much clearly available all over the internet. The actual issue is not how to become a data analyst but it is if we are ready to become one?
Source: HOB10773
Data Science is an exciting field to work in, combining advanced statistical and quantitative skills with real-world programming ability. There are many potential programming languages that the aspiring data scientist might consider specializing in.
Source: HOB10506
Advice for young professionals in the non-CS field who wants to learn and contribute to data science/machine learning. Curated from personal experience.
Source: HOB36009
The big data analytics technology is a combination of several techniques and processing methods. What makes them effective is their collective use by enterprises to obtain relevant results for strategic management and implementation.
Source: HOB2745
I started off by doing online courses for Data Analytics that were either free to access or available at a small cost, all of which were very focused on certain topics of the Data Analytics field.
Source: HOB4404
I dropped out of a top computer science program to teach myself data science using online resources like Udacity, edX, and Coursera. The decision was not difficult.
Source: HOB76635
The aspirants who want to make a scintillating career in the field of data science must be astonished to know this fact. So, a data scientist is a very demanding profession and the USA leads in the market of data science.
Source: HOB888
Data scientists are responsible for unlocking these insights and extracting intelligence which influences our lives, in commerce and at home.
Source: HOB4023
We asked our LinkedIn group members what their greatest challenges were to becoming fully fledged data scientists. In response, we rounded up 45 of our favorite ideas from our SuperDataScience podcast guests to (re)activate your career.
Source: HOB516
If you're interested in knowing the similarities and differences of Data Science in Latin America countries and others, how to contribute to the data science community.
Source: HOB2676
Aaron Edell is a co-founder of Machine Box - a machine learning startup designed to make it easy to start building things with machine learning.
Source: HOB33888
Machine learning and artificial intelligence have multiple applications in various fields. Communications and marketing is no exception. Just like other industries, it can help improve how smoothly everything runs and offer additional insights that were difficult to obtain manually.
Source: HOB3024
Certainly the promise of artificial intelligence seems always to be on the horizon, yet many businesses are already taking the lead in providing a much more intuitive UX using AI technology.
Source: HOB201
The artificial intelligence (AI) industry has been leading the headlines consistently, and for good reason. It has already transformed industries across the globe, and companies are racing to understand how to integrate this emerging technology.
Source: HOB807
What are the most to least important skills, and the types of people who apply for data science jobs. I talked about all of the skills I want in an ideal candidate. But since that candidate doesn't exist, I have to prioritize what attributes the candidates that I hire have.
Source: HOB7401
Artificial Intelligence allows many applications and services which we use on daily basis. As technological revolutions has become a norm in this era of innovation and Artificial Intelligence plays very crucial role in recent advancements. By using smart applications of artificial intelligence we can save real-time existing process and permitting data-driven decision making on a faster timeline. No one can deny its importance as big companies like Google, Facebook, Amazon and Microsoft are investing in AI technology.
Source: HOB1299
Myths on artificial intelligence and machine learning abound. Noted expert Pedro Domingos identifies and refutes a number of these myths, of both the pessimistic and optimistic variety.
Source: HOB4011
An IDC study amongst 194 organisations across sectors in India reveals that 68.6% organisations are likely to deploy AI before 2020.
Source: HOB276
Ability to write a production-level code is one of the sought-after skills for a data scientist role- either posted explicitly or not. For a software engineer turned data scientist this may not sound like a challenging task as they might have already perfected their skill at developing production level codes and deployed into production several times.
Source: HOB3087
There are several ways companies can alleviate the pain and accelerate the data science transition, particularly as it relates to the IT department.
Source: HOB1128
The advertising world faces the problems of fraud and there is also lack of control over the privacy of data which are the most important thing for every business. So with the help of Blockchain technology these problems can be solved easily.
Source: HOB1383
The 50 companies on the just-released LinkedIn Top Startups list in the U.S. have a whopping 3,069 open jobs, a reflection not only of their ambitions and expansion plans but also an ever-tightening national labor market, with more positions going unfilled.
Source: HOB3081
Arguing that India has the potential to position itself among leaders on the global AI map "with a unique brand of #AIforAll", NITI Aayog has decided to focus on five sectors: healthcare, agriculture, education, smart cities and infrastructure, and smart mobility and transportation.
Source: HOB489
Today every person is talking about the new business ideas and wants to start thier own dream company. But in Data Science this is little bit different and the success in this filed is mainly driven by knowledge on the particular subject. So for this practice every data scientists should read books and gain the insights.
Source: HOB7083
A carefully-curated list of 5 free ebooks to help you better understand the various aspects of what machine learning, and skills necessary for a career in the field.
Source: HOB4599
This curated list of mindset-changing books will help you become a better Data Scientist. According to Drew Conway, the Data Science Unicorn is an expert in statistics, programming, and business.
Source: HOB4026
Researchers have looked at ways to utilize Blockchain for improving Artificial Intelligence. Blockchain developers make a good case on why the distributed ledger system is the perfect platform for testing the next generation of developments in AI
Source: HOB1455
Until a few years ago the work of data scientists was isolated and mattered primarily for research and/or R&D purposes. The industry has been extremely thankful for the contributions of these clever individuals but we need them now in the mainstream.
Source: HOB1668
Password reset link has been sent to your mail
Thank you for your registration has been Successfully done.
