Search results for Digital Venture Pre Seed

    Found 383 documents, 10397 searched:

  • Unsupervised Investments: A Comprehensive Guide to AI Investors

    ...ompiled a list as extensive as possible of every investor I read or bumped into over the past months. It looks like there are at least 80 of them: 26 Ventures (NY): a seed investment fund focusing only on machine intelligence companies with 5 investments under the belt; 360 Capital Partners...

    https://www.kdnuggets.com/2017/03/unsupervised-investments-guide-ai-investors.html

  • Solve any Image Classification Problem Quickly and Easily

    ...is interested in all aspects of machine learning and data analysis. His focus is on data mining & quality, exploratory analysis & visualization, and predictive/prescriptive analytics, but includes testing and benchmarking of different machine learning approaches on real-life problems. Original....

    https://www.kdnuggets.com/2018/12/solve-image-classification-problem-quickly-easily.html

  • Pre-training, Transformers, and Bi-directionality

    ...tokens, 80% are replaced with the [MASK] token, 10% are replaced with random words, and 10% use the original words. The second task is ‘next sentence prediction’. This pre-training task allows the language model to capture relationships between sentences, which is useful for downstream tasks such...

    https://www.kdnuggets.com/2019/07/pre-training-transformers-bi-directionality.html

  • More Effective Transfer Learning for NLP

    ...ls on top of pre-trained embeddings is possible in seconds, although computing pre-trained embeddings is dependent on base model complexity. Quick to predict Prediction is similarly fast. Inference is only as expensive as the base model. Require minimal or no hyperparameter tuning Cross-validation...

    https://www.kdnuggets.com/2018/10/more-effective-transfer-learning-nlp.html

  • Approach pre-trained deep learning models with caution

    ...e models, see this TOPBOTs post). One common technique for leveraging pretrained models is feature extraction, where you’re retrieving intermediate representations produced by the pretrained model and using those representations as inputs for a new model. These final fully-connected layers are...

    https://www.kdnuggets.com/2019/04/approach-pre-trained-deep-learning-models-caution.html

  • Must Know Tips for Deep Learning Neural Networks

    ...he relative scales of pixels are already approximately equal (and in range from 0 to 255), so it is not strictly necessary to perform this additional pre-processing step. Another pre-processing approach similar to the first one is PCA Whitening. In this process, the data is first centered as...

    https://www.kdnuggets.com/2016/03/must-know-tips-deep-learning-part-1.html

  • CDO: to stay or to go?

    …r, Chief Data officer, Chief Analytics officer, Chief innovation officer… There still exist a lot of ambiguity about the exact definitions. Schmitz predicts the Chief Digital Officer will replace the Chief Information Officer over time, others predict otherwise.What is certain however is that…

    https://www.kdnuggets.com/2016/12/cdo-stay-to-go.html

  • Research Guide for Transformers

    ...ism to transmit information across all positions in the sequence. This generates a vector representation for each position that’s informed by other representations at the previous time-step. UTs have a variable depth since the recurrent translation function can be applied any number of times. This...

    https://www.kdnuggets.com/2019/10/research-guide-transformers.html

  • Why Every Company Needs a Digital Brain

    …ta across all business units, departments, product lines and services, that gives the organization higher cognition. That’s why every company needs a digital brain to make their digital transformation come alive, else they risk incremental, short-sighted and superficial change. Much like human…

    https://www.kdnuggets.com/2017/07/why-every-company-needs-digital-brain.html

  • Airbnb: Lessons on Digital, Startups, Big Data and Disrupting Markets

    …ur mobile app. In short it is convenient, but convenience is about the execution. All execution is digital and even the customer is recognized by the digital sign-in. Digital platforms and their great relevance to mobile phone users, in particular, are driving how we do business in the digital

    https://www.kdnuggets.com/2016/01/airbnb-lessons-digital-startups-big-data-disruption.html

  • CSC Venture Capital: Quantitative Analyst

    ...ve Analyst This position has been filled. Job Description: CSC Venture Capital is looking for a Quantitative Analyst to join the investment team. CSC Venture Capital is the Palo Alto based venture capital arm of CSC Group, one of the largest and most successful private equity and venture capital...

    https://www.kdnuggets.com/jobs/16/09-20-cscventurecapital-quantitative-analyst.html

  • Leveraging Agent-based Models (ABM) and Digital Twins to Prevent Injuries

    ...n injury, but within a different domain.”   Introducing the Role of the Asset Avatars (Digital Twins)   An Asset Avatar (Digital Twin) is a digital representation of an industrial asset that enables companies to better understand and predict the performance of their machines, find new...

    https://www.kdnuggets.com/2018/08/leveraging-agent-based-models-digital-twins-prevent-injuries.html

  • Awards and Honors for KDnuggets

    ...nce Power 100, rise.global, Nov 2019. In 50 Most Popular AI Influencers of North America, AIthority, Sep 2019. Gregory Piatetsky/KDnuggets in Top 100 Digital Influencers, Digital Scouting, Sep 2019. In top 6 blogs on AI and Big Data, 4D Data Centres, Sep 2019. Gregory Piatetsky/KDnuggets no. 12 in...

    https://www.kdnuggets.com/about/awards.html

  • Introduction to Python Ensembles

    ...pandas as pd import matplotlib.pyplot as plt %matplotlib inline ### Import data # Always good to set a seed for reproducibility SEED = 222 np.random.seed(SEED) df = pd.read_csv('input.csv') ### Training and test set from sklearn.model_selection import train_test_split from sklearn.metrics import...

    https://www.kdnuggets.com/2018/02/introduction-python-ensembles.html

  • Applying Deep Learning to Real-world Problems">Gold Blog, Jun 2017Applying Deep Learning to Real-world Problems

    ...ey can be taken off-the-shelfand directly be used for some other computer vision problem. How do we obtain data for pre-training? Sources of data for pre-training Pre-trained models: there are lots of trained models on the web. The first go to point are the so-called Model Zoos. These are websites...

    https://www.kdnuggets.com/2017/06/applying-deep-learning-real-world-problems.html

  • Monash U: Lecturer/Sr Lecturer Digital Health

    ...f Information Technology at Monash University is seeking to appoint up to 6 outstanding emerging academics to support a major strategic investment in Digital Health. Digital Health is a major driver of innovation and reform globally, leading to deep and positive change in healthcare systems across...

    https://www.kdnuggets.com/jobs/18/05-28-monash-lecturer-digital-health.html

  • PokerStars: Business Intelligence – Digital Marketing Analyst

    ...ker, are looking for a talented Digital Marketing Analyst to join its Business Intelligence Team. The successful candidate will work closely with the Digital Marketing Team, in order to use data / analytics to contribute to the success of our digital marketing activities. Key Responsibilities...

    https://www.kdnuggets.com/jobs/16/10-24-pokerstars-business-intelligence-digital-marketing-analyst.html

  • Digital Catapult Centre: Lead Technologist – Data (Permanent or Contract)

    Company: Digital Catapult Centre Location: London, UK Web: www.digitalcatapultcentre.org.uk/ We all know that data science, predictive analytics, machine learning, visualisation and big data processing techniques will change most industries if not turn them upside down. At the Digital Catapult...

    https://www.kdnuggets.com/jobs/15/07-18-catapult-lead-technologist-data.html

  • Digital Transformation through Data Democratization

    …eak down the data silos and able to analyze vast data efficiently. A democratization of data is the first step in propelling any organization towards digital transformation path. “Data is the foundation of digital transformation”. According to Constellation research, 87 percent of successful…

    https://www.kdnuggets.com/2017/07/digital-transformation-data-democratization.html

  • Unsupervised Investments (II): A Guide to AI Accelerators and Incubators

    ...r five years. The first two companies, recently announced, are Iris.ai (science research assistant) and Illumr (organizational pattern detection); H2 Ventures (Sydney): H2 Ventures is an Australian venture capital specialized in fintech which will be running a first accelerator program for AI and...

    https://www.kdnuggets.com/2017/05/unsupervised-investments-guide-ai-accelerators-incubators.html

  • From Data Pre-processing to Optimizing a Regression Model Performance

    ...our model has made. Prediction output   Now, let us compare the original and predicted values. df1 = pd.DataFrame({'Actual': y_test.flatten(), 'Predicted': y_pred.flatten()}) df1.plot(kind='bar') plt.grid(which='major', linestyle='-', linewidth='0.5', color='green') plt.grid(which='minor',...

    https://www.kdnuggets.com/2019/07/data-pre-processing-optimizing-regression-model-performance.html

  • Text Wrangling & Pre-processing: A Practitioner’s Guide to NLP

    ...trillion calculations per second. Summit has 4,608 servers, which reportedly take up the size of two tennis courts."} Thus, you can see how our text pre-processor helps in pre-processing our news articles! After this, you can save this dataset to disk if needed, so that you can always load it up...

    https://www.kdnuggets.com/2018/08/practitioners-guide-processing-understanding-text-2.html

  • The 8 Neural Network Architectures Machine Learning Researchers Need to Learn">Gold BlogThe 8 Neural Network Architectures Machine Learning Researchers Need to Learn

    ...of using the net to store memories, we use it to construct interpretations of sensory input. The input is represented by the visible units, the interpretation is represented by the states of the hidden units, and the badness of the interpretation is represented by the energy.   6 — Boltzmann...

    https://www.kdnuggets.com/2018/02/8-neural-network-architectures-machine-learning-researchers-need-learn.html

  • Foot Locker: Sr Manager – Digital Analytics and A/B Testing

    ...s or Master’s Degree required. Emphasis in Computer Science, Business Administration, Statistics, Information Science, Web Analytics or related field preferred. 7+ years of experience leading Web/Digital Analytics and Optimization teams – driving conversion rates, campaign lifts, and other business...

    https://www.kdnuggets.com/jobs/18/04-02-foot-locker-manager-digital-analytics.html

  • Southern Company: Web or Digital Analytics Technical Developer

    ...to the data they want to use Stay abreast on best practices and latest trends in web analytics Assist in the management, maintenance, and creation of digital web analytics reports, custom Excel dashboards, and PowerPoint presentations where appropriate. Interface with development teams regarding...

    https://www.kdnuggets.com/jobs/15/08-26-southerncompany-web-digital-analytics-technical-developer.html

  • 2019 Best Masters in Data Science and Analytics – Europe Edition

    ...m prepares its graduates to design and build data-driven systems for decision-making in the private or public sector, offering a thorough training in predictive, descriptive, and prescriptive analytics. (9-month program, $20,780 full tuition) Universitat de Barcelona's Master in Foundations of Data...

    https://www.kdnuggets.com/2019/04/best-masters-data-science-analytics-europe.html

  • Digital Shadows (London): Data Scientist

    Company: Digital Shadows Location: Canary Wharf, London, UK Web: www.digitalshadows.com Digital Shadows provides cyber monitoring services to high profile organisations. We're an award winning start-up, and since being founded in 2011 we haven't stopped growing. We've got ambitious plans for...

    https://www.kdnuggets.com/jobs/15/01-10-digitalshadows-data-scientist.html

  • Contest 2nd Place: Automated Data Science and Machine Learning in Digital Advertising

    ...positive examples and a 2.1K sample of negative examples). Whenever multiple URL’s are in a line the hash has caused a collision, whenever no URL is presented, the data was pre-hashed for privacy reasons. Conclusion   Drawing from a number of techniques in machine learning and data...

    https://www.kdnuggets.com/2016/08/automated-data-science-digital-advertising.html

  • Semi-supervised Feature Transfer: The Practical Benefit of Deep Learning Today?

    ...blems. In practice, we pre-train a deep neural network using large datasets (many millions of examples), so that it learns generally useful feature representations. We can then copy those internal feature representations into new models, effectively transferring in knowledge from the deep model....

    https://www.kdnuggets.com/2016/07/semi-supervised-feature-transfer-deep-learning.html

  • The What, Where and How of Data for Data Science">Silver BlogThe What, Where and How of Data for Data Science

    ...ned in under a minute', looks like this. You have data. To use this data to inform your decision-making, it needs to be relevant, well-organized, and preferably digital. Once your data is coherent, you proceed with analyzing it, creating dashboards and reports to understand your business’s...

    https://www.kdnuggets.com/2018/06/what-where-how-data-science.html

  • The Analytics of Digital Transformation, according to TCS

    ...re language agnostic and ideal for handling noisy text. Text inherently is not amenable to be used within a crisp reasoning framework. Hence use of imprecise representation and reasoning methodologies based on fuzzy sets or rough sets is ideal for reasoning with text inputs. The most crucial aspect...

    https://www.kdnuggets.com/2014/11/analytics-digital-transformation-tcs.html

  • The Perpetual Quest for Digital Trust

    ...cts of life, this integrated data is a sweet spot for hackers to make the most from their malicious activities. Accenture recently released a report “Digital Trust in the IoT Era” summarizing results from the 2015 Accenture Digital Consumer Survey on consumer aspirations towards the security of...

    https://www.kdnuggets.com/2015/07/perpetual-quest-digital-trust.html

  • 3 Stages of Creating Smart

    ...For purposes of my papers and workshops, I define “use cases” as a cluster of decisions around a common subject area such as improving customer retention, reducing hospital readmissions or reducing unplanned operational downtime.   Related: Leveraging Agent-based Models (ABM) and Digital...

    https://www.kdnuggets.com/2018/10/3-stages-creating-smart.html

  • Adobe: Product Analyst, Behance

    ...t and apps-websites, ads, video games, magazines, movies and images-across every screen. We focus on two market categories where content is critical: Digital Media and Digital Marketing. Producing and publishing the world's most compelling content is the heart of our Digital Media business, and...

    https://www.kdnuggets.com/jobs/13/12-11-adobe-product-analyst-behance.html

  • Interview: Haile Owusu, Mashable on Surviving Imprecision in Digital Media Analytics

    ...cond and last part of my interview with him: Anmol Rajpurohit: Q6. What are the most underrated challenges in tracking the consumption and sharing of digital media? Haile Owusu: Though I think it’s acknowledged that predicting broad scale social behavior is very difficult, our task is particularly...

    https://www.kdnuggets.com/2015/05/interview-haile-owusu-mashable-digital-media-analytics.html

  • Webinar: Natural Language Processing for Digital Transformation of Unstructured Text

    ...uctured scientific literature using ontologies, flexible queries and linguistic processing How flexible NLP text mining from Linguamatics can provide precise results, quickly Real-life success stories from pharmaceutical companies such as Shire, Agios and others who are using NLP to access and gain...

    https://www.kdnuggets.com/2019/12/copyright-webinar-natural-language-processing.html

  • CTC-CCT: Digital Research Analyst

    ...ble to identify trends and insights and provide relevant strategic recommendations. Top this with an ability to translate complex data into easily comprehensible reports and presentations for senior management and you'll be ready to join the team. Join the CTC and join a team that's contributing to...

    https://www.kdnuggets.com/jobs/14/09-29-ctc-digital-research-analyst.html

  • Jobs in AI, Analytics, Data Science, Machine Learning

    ...wly formed Computational Data Analysis group of Johannes Fürnkranz is looking for doctoral and post-doctoral researchers in ML and KDD, e.g., in interpretability, rule and preference learning, multi-label classification, or game playing. Senior Statistical Analyst at Novartis, Indianapolis, IN. -...

    https://www.kdnuggets.com/jobs/index.html

  • Digital Marketing Data Analytics, Sr. Manager

    ...7 percent reduction in marketing acquisition costs 5-40 percent reduction in marketing costs And more. We invite you to learn more . Job Summary: The Digital Marketing Senior Manager will work with Accenture clients to understand their digital marketing needs, and translate those needs into...

    https://www.kdnuggets.com/jobs/13/03-26-accenture-digital-marketing-data-analytics-sr-manager.html

  • RetailMeNot: Principal Data Scientist, Attribution

    ...ited Kingdom; Deals.com in Germany; Actiepagina.nl, a leading digital offers site in the Netherlands; Bons-de-Reduction.com and Ma-Reduc.com, leading digital offers sites in France; Poulpeo.com, a leading digital offers site with cash back in France; and Deals2Buy.com, a leading digital offers site...

    https://www.kdnuggets.com/jobs/16/04-12-rmn-director-data-science-digital-attribution.html

  • Kohls: Manager, Digital Marketing Analytics

    ..., tagging management, data integrity, advanced analytics & reporting) Responsible for story telling about the business as it relates to Marketing Digital Channels; including presenting and sharing findings across the organization Evaluate Personalization campaign customer results to bank...

    https://www.kdnuggets.com/jobs/15/09-01-kohls-manager-digital-marketing-analytics.html

  • comScore: Lead Technical Analyst – Data Solutions

    ...data analysis and problem solving with large amounts of data Experience in building methodologies and custom data solutions Working knowledge of the digital media ecosystem such as advertising technology, Web analytics, targeting, publishing, digital agencies, etc. Ability to think creatively to...

    https://www.kdnuggets.com/jobs/15/05-30-comscore-lead-technical-analyst-data-solutions.html

  • What Insurers in Asia doing about their digital transformation?

    ...e white paper here Get practical strategies to develop a strong customer focus and determined digital drive: Find out how to orchestrate a successful digital transformation: creating new digital customer-centric culture is extremely challenging and you need to ensure you are attracting the right...

    https://www.kdnuggets.com/2017/01/insurance-asia-digital-transformation.html

  • Monash University: Lecturer/Sr Lecturer – Digital Health [Melbourne, Australia]

    ...ollows: Systems and Cybersecurity, Data Science, Education, Computer-Human Interaction and Creativity, and Organisational and Social Informatics. The Digital Health theme in the Faculty of Information Technology draws on capabilities in all the above areas, and is further grounded in collaborations...

    https://www.kdnuggets.com/jobs/18/11-22-monash-university-lecturer-digital-health.html

  • Discover the new MSc in Digital Marketing & Data Science

    ...MSc in Digital Marketing & Data Science       Become the new generation of marketing technologists       The MSc in Digital Marketing & Data Science is a 16-month programme designed to grow a new generation of leading marketing specialists – digital savvy...

    https://www.kdnuggets.com/2018/01/lyon-msc-digital-marketing-data-science.html

  • Data Scientist/Senior Data Scientist

    ...n this space. As part of this intensive effort, our Integrated Marketing Solutions organization (IMS) has exciting opportunities available within our digital analytics team for digitally savvy scientists or statisticians with strong background in digital technology and analytics trends and...

    https://www.kdnuggets.com/jobs/13/04-14-americanexpress-senior-data-scientist-b.html

  • Pear Therapeutics: Data Scientist [Boston, MA or San Francisco, CA]

    ...Data Scientist _Contact_: Apply online. About Pear Pear Therapeutics (PEAR), is a venture-backed digital health company focused on the development of prescription digital therapeutics and drug/software combinations to treat diseases with high unmet medical need. PEAR is a fully integrated digital...

    https://www.kdnuggets.com/jobs/18/09-26-pear-therapeutics-data-scientist.html

  • Mining Twitter Data with Python Part 2: Text Pre-processing

    ...both upper and lowercases. The tokenize()function simply catches all the tokens in a string and returns them as a list. This function is used within preprocess(), which is used as a pre-processing chain: in this case we simply add a lowercasing feature for all the tokens that are not emoticons...

    https://www.kdnuggets.com/2016/06/mining-twitter-data-python-part-2.html

  • Overview and benchmark of traditional and deep learning models in text classification

    ...y_pred_rnn_simple [ 'prediction' ] = y_pred_rnn_simple [ 'prediction' ] . map ( lambda p : 1 if p >= 0.5 else 0 ) y_pred_rnn_simple . to_csv ( './predictions/y_pred_rnn_simple.csv' , index = False ) y_pred_rnn_simple = pd . read_csv ( './predictions/y_pred_rnn_simple.csv' ) print (...

    https://www.kdnuggets.com/2018/07/overview-benchmark-deep-learning-models-text-classification.html

  • IRI: Digitial Media Consultant, Analytics

    ...analyzing the impact of digital and other media on CPG shopping and product purchasing. The big picture function of this role is to analyze and interpret media and digital data trends/patterns and translate them into meaningful solutions for clients. Additional responsibilities include: The...

    https://www.kdnuggets.com/jobs/14/11-17-iriworldwide-digitial-media-consultant-analytics.html

  • Mars: Digital Business Translator (Chicago, IL or Mount Olive, NJ)

    ...s such as Tableau, Power BI, to deliver output to the broader business community to improve decision making and productivity Excellent written, oral, presentation, interpersonal and stakeholder management skills So, if you’ve got the skills we need and you’re looking for the opportunity to really...

    https://www.kdnuggets.com/jobs/18/08-17-mars-digital-business-translator.html

  • Wells Fargo: Data Scientist

    ...y growing credit card business. Right now, we are looking for a bright and creative data scientist to help us design and build the next generation of predictive tools that will guide our digital capabilities and offerings. The position offers a unique opportunity to be part of a small, fast-paced,...

    https://www.kdnuggets.com/jobs/16/03-03-wellsfargo-data-scientist.html

  • Chief Data Officer Toolkit: Leading the Digital Business Transformation – Part 1

    ...ion”, where the value of an asset is reduced with the passage of time and/or usage. But data and analytic digital assets operate under the “rule of appreciation” where these digital assets become more valuable as they are 1) used simultaneously across multiple business processes and business...

    https://www.kdnuggets.com/2016/10/schmarzo-cdo-toolkit-leading-digital-business-transformation-part-1.html

  • Big Data to Big Profits: Strategies for Monetizing Social, Mobile, and Digital Data with Data Science, Mar 23-24, San Francisco

    ...t use of data science for growth and innovation across your organization. In this course, you will learn: How to create, measure, and manage valuable digital, social, and mobile touch points with customers Strategies for monetizing big data Opportunities for creating data products How to lead a...

    https://www.kdnuggets.com/2017/01/northwestern-big-data-big-profits-course-san-francisco-march.html

  • Accenture: Financial Services Analytics Senior Manager

    ...tact_: Apply online. The digital revolution is changing everything. It’s everywhere – transforming how we work and play. Are you leading the way as a digital disrupter? Accenture Digital is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. At...

    https://www.kdnuggets.com/jobs/17/08-09-accenture-financial-services-analytics-senior-manager.html

  • Uber-fication: Lessons from Uber in Economics, Digital, Risk, and Analytics

    …a business, reduce costs to transact and make the operations transparent so that business partners find it less risky to participate with you. Become Digital and Become Mobile The leading digital platform of our day is clearly mobile. The convenience offered by the Uber app in summoning a car is…

    https://www.kdnuggets.com/2015/12/walker-lessons-uber-economics-digital-risk-analytics.html

  • Northwestern MOOC Specialization: “Social Marketing – How to Profit in a Digital World;” Lexalytics CMO Seth Redmore Featured Faculty Member

    ...very day globally, Lexalytics is the industry leader in translating text into profitable decisions. Lexalytics deploys state-of –the-art cloud and on-prem text and sentiment analysis technologies that transform customers’ thoughts and conversations into actionable insights. The on-premise Salience®...

    https://www.kdnuggets.com/2015/10/northwestern-lexalytics-mooc-social-marketing.html

  • iCrossing: Supervisor, Insights and Data Science

    ...ess questions into data analysis projects   Qualifications Bachelor’s degree or equivalent work experience 5-10 years experience in the field of digital analytics, preferably with a Paid Media focus Experience working specifically in an analytics focused role Passion for digital marketing and...

    https://www.kdnuggets.com/jobs/14/10-23-icrossing-supervisor-insights-data-science-web-analytics.html

  • Interview: Jason Bloomberg, Intellyx on the Tricky Balance of Optimization and Innovation

    ...s on their digital transformation initiatives and helps vendors communicate their agility stories. Here’s how we define agile digital transformation: Digital -- Customer preferences and behavior drive enterprise technology decisions Transformation -- Internal organizational change is necessary to...

    https://www.kdnuggets.com/2015/02/interview-jason-bloomberg-intellyx-innovation.html

  • Vivaki: Senior Research Analyst, Analytics

    ...ts   Minimum Qualifications: 4-year college degree, preferably in Marketing, Mathematics, or related field Position requires at least 4 years of digital media experience and 3 years of some combination of media/digital analysis, and at least 1 year of POV, whitepaper writing experience Robust...

    https://www.kdnuggets.com/jobs/15/06-05-vivaki-senior-research-analyst-analytics.html

  • Accenture: Artificial Intelligence Analytics Sr Manager

    ...tact_: Apply online. The digital revolution is changing everything. It’s everywhere – transforming how we work and play. Are you leading the way as a digital disrupter? Accenture Digital is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. At...

    https://www.kdnuggets.com/jobs/17/08-09-accenture-artificial-intelligence-analytics-manager.html

  • Overcoming the Last Hurdle in the Quest for the “Holy Grail” of Marketing

    ...eters are in an all-too-familiar camp where cross-device linkages are dissolving beneath their feet due to this churn. Therefore it behooves any good digital marketer to seek the stable digital identities underlying a roiling sea of digital soup – where the cookies, IDs, audience segments, and CRM...

    https://www.kdnuggets.com/2017/02/quest-holy-grail-marketing.html

  • Monash University: Lecturers / Senior Lecturers – Digital Health, Image Analytics [Melbourne, Australia]

    ...powering thinkers. The Opportunity Monash University Faculty of IT currently has a requirement for 2 x Lecturer / Senior Lecturer within the space of Digital Health - Image Analytics. Digital Health is a fascinating cross-university, cross-faculty, multidisciplinary space with enormous practical...

    https://www.kdnuggets.com/jobs/19/07-19-monash-lecturers-digital-health-image-analytics.html

  • Become the new generation of marketing technologists

    ...argherita Pagani, our "embassador" students and program advisor Thomas Cappelli.   Join the Q&A here   Why should you study a Master in Digital Marketing & Data Science? As the MSc in Digital Marketing & Data Science is now well into its second semester, we sat with...

    https://www.kdnuggets.com/2019/04/adcom-msc-digital-marketing-data-science-em-lyon.html

  • Monash University: Research Fellow (Digital Civics) [Melbourne, Australia]

    ...takes to be a part of an initiative within the Faculty of Information Technology, undertaking human-centred action-oriented research in the field of digital technologies for social justice? Collaborate with both doctoral students and academics in the planning and execution of the program of action...

    https://www.kdnuggets.com/jobs/18/11-22-monash-university-research-fellow.html

  • Accenture: Data Science Consultant

    ...ntrepreneurial spirit and vision will be rewarded, and your success will fuel opportunities for career advancement. You’ll make a difference for some pretty impressive clients. Accenture serves many of the FTSE 100 on high-profile projects. Opportunities to learn daily through training, assignments...

    https://www.kdnuggets.com/jobs/17/08-09-accenture-data-science-consultant.html

  • Applying Machine Learning To March Madness

    ...l learn to predict from a dataset with simpler features. Incorporate historical information about tournament results (e.g Number of times that the 12 seed wins over the 5 seed in a first round matchup) Experiment with different ways of consolidating the 2 team vectors into one (e.g concantenating,...

    https://www.kdnuggets.com/2017/03/machine-learning-march-madness.html

  • Top KDnuggets tweets, Nov 4-5: Venture capital in an age of algorithms; Stanford Big Data Mining Courses Online

    ...hru Dec 9 bit.ly/1b1VHdk Most Retweeted: Venture capital in an age of algorithms: using data science to fund startups buff.ly/1aYcHBf Most Favorited: Venture capital in an age of algorithms: using data science to fund startups buff.ly/1aYcHBf Top 10 Tweets Venture capital in an age of algorithms:...

    https://www.kdnuggets.com/2013/11/top-tweets-nov4-5.html

  • Machine Learning Trends and the Future of Artificial Intelligence

    ...ing and maintaining machine learning systems. “Every successful new application built today will be an intelligent application,” Soma Somasegar said, venture partner at Madrona Venture Group. “Intelligent building blocks and learning services will be the brains behind apps.” Below is an overview of...

    https://www.kdnuggets.com/2016/06/machine-learning-trends-future-ai.html

  • How AI will transform healthcare (and can it fix the US healthcare system?)">Silver BlogHow AI will transform healthcare (and can it fix the US healthcare system?)

    ...ome other medication later without being warned). A shift away from the one size fits all approach of medicine today to the world of the future where precision medicine prevails will require a fundamental shift in the the mindset of the senior medical practitioners and those who are responsible for...

    https://www.kdnuggets.com/2019/09/ai-transform-healthcare.html

  • Text Analytics 2015 – Technology and Market Overview

    ...ncludes significant text-analysis coverage, is scheduled for July 15-16 in New York, this year featuring a Workshops track in parallel with the usual Presentations track. In case you’re interested: I have videos and presentations from six of the seven other symposiums to date, from 2010 to...

    https://www.kdnuggets.com/2015/03/text-analytics-2015-technology-market-overview.html

  • Transfer Learning Made Easy: Coding a Powerful Technique

    ..., a trained deep learning model is just a collection of millions of real numbers in a particular data structure format, which can be used readily for prediction/inference, the task we are really interested in, as the consumers of the model. But remember that a pre-trained model might have been...

    https://www.kdnuggets.com/2019/11/transfer-learning-coding.html

  • Text Classification & Embeddings Visualization Using LSTMs, CNNs, and Pre-trained Word Vectors

    ...isingly well for text, even though they have none of the sequence processing ability of LSTMs.   Part 3: Text Classification Using CNN, LSTM and Pre-trained Glove Word Embeddings In this part-3, I use the same network architecture as part-2, but use the pre-trained glove 100 dimension word...

    https://www.kdnuggets.com/2018/07/text-classification-lstm-cnn-pre-trained-word-vectors.html

  • Get a 2–6x Speed-up on Your Data Pre-processing with Python

    ...e 1000 here. We would like to resize all images to size 600x600 before passing it to our deep neural network. This is what it would look like in some pretty standard Python code you would often see on GitHub. This program follows a simple pattern you’ll often see in data processing scripts: You...

    https://www.kdnuggets.com/2018/10/get-speed-up-data-pre-processing-python.html

  • Building an image search service from scratch

    ...hod scales to large datasets, but is slow. Workflow for approach 3 3/ There is a simpler method, which is similar to word embeddings. If we find an expressive vector representation, or embedding for images, we can then calculate their similarity by looking at how close their vectors are to each...

    https://www.kdnuggets.com/2019/01/building-image-search-service-from-scratch.html

  • 10 New Things I Learnt from fast.ai Course V3

    ...ither be (i) randomly initialised, or (ii) transferred from a pre-trained model in a process called transfer learning. Transfer learning makes use of pre-trained weights. Pre-trained weights have useful information. The usual model fitting for transfer learning works like this: train the weights...

    https://www.kdnuggets.com/2019/06/things-learnt-fastai-course.html

  • Creating a simple text classifier using Google CoLaboratory

    ...machine has learnt!   Next, we need a wrapper function to separate the pearlsfrom the junk. def pearl_or_junk(message):# Wrapper Function if clf.predict(vectorizer.transform([pre_process(message)])): return 'pearl' else : return 'junk' That’s it! The wrapper function can process comment...

    https://www.kdnuggets.com/2018/03/simple-text-classifier-google-colaboratory.html

  • Choosing an Open Source Machine Learning Library: TensorFlow, Theano, Torch, scikit-learn, Caffe

    …for scientific computing based on Python, which is used to target deep learning tasks related to defining, optimizing, and evaluating mathematical expressions. While it has an impressive computing performance, users complain about an inaccessible interface and unhelpful error messages. For these…

    https://www.kdnuggets.com/2017/11/choosing-open-source-machine-learning-library.html

  • Understanding Feature Engineering: Deep Learning Methods for Text Data

    ...Gutenberg through the corpus module in nltk. We will load this up shortly, in the next section. Before we talk about feature engineering, we need to pre-process and normalize this text. Text pre-processing There can be multiple ways of cleaning and pre-processing textual data. The most important...

    https://www.kdnuggets.com/2018/03/understanding-feature-engineering-deep-learning-methods-text-data.html

  • Data Science Basics: 3 Insights for Beginners

    ..., kingdom, phylum, etc. If an algorithm was to learn the defining features of the most specific of the subgroups, species, based on the observance of pre-labeled member instances, it could then make a decision as to where future instances should be placed. If, for instance, an algorithm had built...

    https://www.kdnuggets.com/2016/09/data-science-basics-3-insights-beginners.html

  • Using the Economics Value Curve to Drive Digital Transformation

    ...operational processes. Self-diagnosis: Leverages Diagnostic Analytics to identify the variables and metrics that might be impacting performance, and Predictive Analytics to predict what is likely to happen and when it is likely to happen. Leverages Internet of Things intelligent to predict...

    https://www.kdnuggets.com/2018/12/economics-value-curve-drive-digital-transformation.html

  • UnitedHealth Group: UHC Digital Project Manager [Minnetonka, MN]

    ...ject management experience using data and information to make business decisions Proficiency with MS Project, Excel, Visio, PowerPoint and SharePoint Preferred Qualifications: PMP Certification Health care industry experience Digital experience Careers with UnitedHealthcare. Let's talk about...

    https://www.kdnuggets.com/jobs/18/10-04-unitedhealth-group-uhc-digital-project-manager.html

  • From Big Data to Big Profits: A Lesson from Google’s Nest

    ...e to others. And Nest can do more and will do more as Google expands its capabilities and builds a bigger network of users. Not only does it create a digital record of operation, it can provide a means to digitally control the heating and cooling systems in a property from afar with other economic...

    https://www.kdnuggets.com/2015/07/big-data-big-profits-google-nest-lesson.html

  • Data Analytics Boosting Digital Engagement at Australian Open 2016

    ...ashboard classifies this data into three categories based on its significance – record-breaking, newsworthy, or informational. All these insights are presented to the user in a color-coded, dynamic, and intuitive visualization. The dashboard also has personalization features configurable by Tennis...

    https://www.kdnuggets.com/2016/01/data-analytics-digital-engagement-australian-open-2016.html

  • Data Scientist (13010974)

    …nd mind-set within an established, global brand, join our team today! As a Data Scientist, you will be part of a team dedicated to helping American Express accelerate its digital transformation, and you will be challenged with designing winning applications and developing new Big Data capabilities…

    https://www.kdnuggets.com/jobs/13/08-29-americanexpress-data-scientist.html

  • Senior Communications Officer

    ...l be responsible for project managing, prioritizing, and planning the website's features and enhancements. In addition, this role will help develop a digital analytics approach to ensure that ongoing digital strategies are informed by accurate data. Specifically, this role will gather and interpret...

    https://www.kdnuggets.com/jobs/13/02-05-gatesfoundation-senior-communications-officer.html

  • Just How Smart Are Smart Machines?

    …are measurable, learning-oriented systems will ultimately deliver benefits in the form of better stock trading decisions, more accurate driving time predictions, and more precise medical diagnoses. SELF-AWARENESS So far, machines with self-awareness and the ability to form independent objectives…

    https://www.kdnuggets.com/2016/12/davenport-how-smart-are-smart-machines.html

  • SAP: Reimagine Predictive Analytics for the Digital Enterprise – free download

    Reimagine Predictive Analytics for the Digital Enterprise Unlock the power of predictive analytics today       Reimagine Predictive Analytics for the Digital Enterprise   Unlock the power of predictive analytics today   Learn more   Digital transformation is driving...

    https://www.kdnuggets.com/2016/10/sap-reimagine-predictive-analytics-digital-enterprise.html

  • Fraud Bots Mess Up Your Big Data

    ...big data. For further reading, see: http://www.slideshare.net/augustinefou/presentations. Bio: Dr. Augustine Fou is an industry recognized expect in digital ad fraud research. He has been advising clients on digital strategy and optimizing marketing campaigns for over 20 years. Dr. Fou was the...

    https://www.kdnuggets.com/2016/03/fraud-bots-mess-big-data.html

  • R vs Python: head to head data analysis

    …it if it has any missing values or isn’t numeric. We then use the cluster package to perform k-means and find 5 clusters in our data. We set a random seed using set.seed to be able to reproduce our results. In Python, we use the main Python machine learning package, scikit-learn, to fit a k-means…

    https://www.kdnuggets.com/2015/10/r-vs-python-data-analysis.html

  • The Surprising Complexity of Randomness

    ...ame, the sequence of ‘random’ numbers produced by the algorithm will be exactly the same every time. This means that if you know the equation and the seed value, you can predict the entire sequence of ‘random’ numbers. The second issue is that, eventually, the pattern will repeat. That is,...

    https://www.kdnuggets.com/2017/06/surprising-complexity-randomness.html

  • Markov Chains: How to Train Text Generation to Write Like George R. R. Martin

    ...ce]] + alpha likelihoods = next_word_vector/next_word_vector.sum() return weighted_choice(distinct_words, likelihoods.toarray()) def stochastic_chain(seed, chain_length=15, seed_length=2): current_words = seed.split(' ') if len(current_words) != seed_length: raise ValueError(f'wrong number of...

    https://www.kdnuggets.com/2019/11/markov-chains-train-text-generation.html

  • From Insight-as-a-Service to Insightful Applications

    ...types of big data applications: shallow applications that use general-purpose analytic tools, applications that process big data but that do not use predictive or prescriptive analytics, and applications that use embedded predictive analytics. More recently, as they have recognized the importance...

    https://www.kdnuggets.com/2016/05/simoudis-insight-service-insightful-applications.html

  • The Artificial ‘Artificial Intelligence’ Bubble and the Future of Cybersecurity

    ...peak is unstoppable. Meanwhile, that ongoing shiny marketing pyramid machine needs paying for – and it doesn’t come cheap. Let’s back up a bit here. Venture capitalism is called ‘venture’ capitalism as it involves risk. A good venture capitalist is one who knows where it’s best to place funds –...

    https://www.kdnuggets.com/2017/06/kaspersky-artificial-intelligence-bubble-future-cybersecurity.html

  • Microsoft is Becoming M(ai)crosoft

    ...p://www.nytimes.com/library/tech/00/07/biztech/articles/17lab.html    [7] http://www.eecs.harvard.edu/~kgajos/papers/2008/kgajos-chi08-predictability.pdf    [8] http://www.cnet.com/news/microsoft-buys-speech-recognition-company-tellme/    [9]...

    https://www.kdnuggets.com/2016/04/microsoft-becoming-m-ai-crosoft.html

  • Deep Learning in Minutes with this Pre-configured Python VM Image">Silver Blog, May 2017Deep Learning in Minutes with this Pre-configured Python VM Image

    ...1.0 for Python 3 Keras 2.0 for Python 3 Theano face_recognition for Python 3 (for playing around with face recognition) It also includes a number of pre-made projects to get up and running right away: If you launch PyCharm Community Edition from the left sidebar, there are several pre-created...

    https://www.kdnuggets.com/2017/05/deep-learning-pre-configured-python-vm-image.html

  • Recycling Deep Learning Models with Transfer Learning

    ...ould also be useful for an additional as-of-yet unseen object category. Following this line of thinking, computer vision researchers now commonly use pre-trained CNNs to generate representations for novel tasks, where the dataset may not be large enough to train an entire CNN from scratch. Another...

    https://www.kdnuggets.com/2015/08/recycling-deep-learning-representations-transfer-ml.html

  • PMML FAQ: Predictive Model Markup Language

    ...ts readers. Alex Guazzelli (VP, Analytics at Zementis), answers: PMML stands for "Predictive Model Markup Language". It is the de facto standard to represent predictive solutions. A PMML file may contain a myriad of data transformations (pre- and post-processing) as well as one or more predictive...

    https://www.kdnuggets.com/2013/01/pmml-faq-predictive-model-markup-language.html

  • What is PMML?

    Alex Guazzelli (VP, Analytics at Zementis), answers: PMML stands for "Predictive Model Markup Language". It is the de facto standard to represent predictive solutions. A PMML file may contain a myriad of data transformations (pre- and post-processing) as well as one or more predictive models....

    https://www.kdnuggets.com/faq/pmml.html

  • Gartner 2015 Hype Cycle: Big Data is Out, Machine Learning is in

    ...loit employees' digital dexterity. Data security which is rather a critical discussion today seems to be surprisingly less of a hype and is shown as "Digital Security" in pre-peak and close to trigger region of the hype cycle. None of these technologies entered the plateau of productivity unlike...

    https://www.kdnuggets.com/2015/08/gartner-2015-hype-cycle-big-data-is-out-machine-learning-is-in.html

  • Starcom-Novartis: Measure Manager

    ...marks to measure campaign success Work with the teams to ensure digital tagging plan is set-up to enable accurate measurement against goals Meet with Digital team pre/live/post campaigns to help develop a seamless mid or post report for client Mine advertising and business data for relevant and...

    https://www.kdnuggets.com/jobs/14/07-17-smvgroup-measure-manager.html

  • Accenture: Big Data Engineer

    ...ntrepreneurial spirit and vision will be rewarded, and your success will fuel opportunities for career advancement. You’ll make a difference for some pretty impressive clients. Accenture serves many of the FTSE 100 on high-profile projects. Opportunities to learn daily through training, assignments...

    https://www.kdnuggets.com/jobs/17/08-09-accenture-big-data-engineer.html

  • AI, Data Science, Analytics Main Developments in 2018 and Key Trends for 2019">Gold BlogAI, Data Science, Analytics Main Developments in 2018 and Key Trends for 2019

    ...ation Technology and Management at Babson College, the co-founder of the International Institute for Analytics, a Fellow of the MIT Initiative on the Digital Economy, and a Senior Advisor to Deloitte Analytics. We predict annual trends at the International Institute for Analytics, and here are a...

    https://www.kdnuggets.com/2018/12/predictions-data-science-analytics-2019.html

  • U. of Illinois at Urbana-Champaign: Open Rank Faculty Positions

    ...emporary archival research and practice including digital archives; community archives and archiving; convergence of libraries, archives and museums; digital preservation User experience/Human-computer interaction--social computing, crowdsourcing, collective intelligence, social media,...

    https://www.kdnuggets.com/jobs/17/10-09-illinois-faculty-positions.html

  • Accenture: Analytics Advisory Consultant

    ...changing everything. It’s everywhere – transforming how we work and play. Are you reacting to the disruption each day or are you leading the way as a digital disrupter? Accenture Digital is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. At...

    https://www.kdnuggets.com/jobs/17/08-09-accenture-analytics-advisory-consultant.html

  • Adobe: Manager – Algorithms / Machine Learning, 30834

    Company: Adobe Location: San Jose, CA Web: www.adobe.com Description Adobe is changing the world through digital experiences. Our digital media and digital marketing solutions empower businesses to make, manage, measure, and monetize content. We are aggressively innovating to enrich content...

    https://www.kdnuggets.com/jobs/14/07-29-adobe-manager-algorithms-machine-learning.html

  • JDMDH: New Journal of Data Mining and Digital Humanities, submissions due Jun 25

    Journal of Data Mining & Digital Humanities publishes original research, review papers including but not limited to following fields and specifically about Digital Humanities Data (cultural, literary, philosophical, economical, psychological, sociological, opinion, ethnological, demographical,...

    https://www.kdnuggets.com/2013/05/new-journal-data-mining-digital-humanities.html

  • Jun 2015 Analytics, Big Data, Data Mining Acquisitions and Startups Activity

    ...ional $1.5M to Power Corporate #Events #Analytics #BigDataCo t.co/4b5MPZCJb4 Jun 25: Appuri, Seattle provider of a customer data platform, raised $2M seed round led by Divergent Ventures #BigDataCo t.co/lJAmLnaCsr   Here are previous month activities May 2015 Analytics, Big Data, Data Mining...

    https://www.kdnuggets.com/2015/07/june-analytics-big-data-science-company-activity.html

  • How to Automate Hyperparameter Optimization

    ...sess.run(train_step, train_data_feed) val_data_feed = { inputs: val_X, } vali_pred = sess.run(prediction, val_data_feed) vali_pred_vals = rescle(vali_pred) vali_pred_vals = np.array(vali_pred_vals) vali_pred_vals = vali_pred_vals.flatten() vali_pred_vals = vali_pred_vals.tolist() vali_nonescaled_y...

    https://www.kdnuggets.com/2019/06/automate-hyperparameter-optimization.html

  • The Evolution of a ggplot

    ...To achieve higher readability, we use another geom, geom_jitter() which scatters the points in a given direction (x and/or y via width and height) to prevent overplotting: set.seed(123) g + geom_jitter(size = 2, alpha = 0.25, width = 0.2) Set a seed to keep the jittering of the points fixed every...

    https://www.kdnuggets.com/2019/07/evolution-ggplot.html

  • Testing Your Machine Learning Pipelines

    ...the test and gain all of the above advantages 🙂. So long and thanks for all the testing!   Bio: Kristina Young is a Senior Data Scientist at BCG Digital Ventures. She has previously worked at SoundCloud as a Backend and Data Engineer in the Recommendations team. Her previous experience is as a...

    https://www.kdnuggets.com/2019/11/testing-machine-learning-pipelines.html

  • Age homophily for predicting age of mobile phone customers

    ...2014. Jorge Brea, PhD is a Data scientist at Grandata, a company that integrates first-party and telco partner data to understand key market trends, predict customer behavior, and deliver impressive business results. Related: GraphLab Create: large-scale machine learning platform for graph,...

    https://www.kdnuggets.com/2014/09/age-homophily-predicting-age-mobile-phone-customers.html

  • Deep Conversations: Lisha Li, Principal at Amplify Partners

    ...risk I am willing to assume. I do very early stage investing – so, in these startups, you don’t have the typical revenue metrics. They are oftentimes pre-product and thus pre-product-market fit. You have to evaluate the team and a market the team plans to target. Some things worth assessing: Is...

    https://www.kdnuggets.com/2018/05/deep-conversations-lisha-li-amplify-partners.html

  • Building NLP Classifiers Cheaply With Transfer Learning and Weak Supervision

    ...MFiT without Weak Supervision We can see a big drop in recall (we only get about 10% recall for a 90% precision) and ROC-AUC (-0.15), compared to the previous Precision-Recall curve in which we used our WS labels. Conclusions Weak supervision + ULMFiT helped us hit 95% precision and 39% recall....

    https://www.kdnuggets.com/2019/03/building-nlp-classifiers-cheaply-transfer-learning-weak-supervision.html

  • Fusion Media Group – Univision Communications: Data Scientist

    ...dvanced grasp of SQL Bonus points for: Experience with AWS (i.e. RDS, Redshift) Experience accessing social network APIs via Python Experience with MapReduce and Hadoop Experience with GitHub Experience working in media Preference given to candidates with a Master’s or PhD degree About FUSION:...

    https://www.kdnuggets.com/jobs/16/09-16-fusion-data-scientist.html

  • Data Science Data Architecture

    …ronments, as shown in Figure 1, after some time, the data scientist has a new idea to improve the model. The current approved model is taken from the pre-production environment, and being worked on. Once ready it is placed back into pre-approval, but as the figure shows, it cannot be approved due…

    https://www.kdnuggets.com/2015/09/data-science-data-architecture.html

  • U. of Chicago Center for Data Science and Public Policy: Postdoc, Pre-Doctoral, Data Engineer, Data Scientist, and Project Manager

    ...ce? The Center for Data Science & Public Policy at the University of Chicago has openings for Post-Doctoral Data Science for Social Good Fellows, Pre-Doctoral (Non-Phd) fellowships positions for Data Engineers, Data Scientists, and Project Managers with a strong background in machine...

    https://www.kdnuggets.com/jobs/15/07-15-dsapp-postdoc-data-engineer-data-scientist-b.html

  • Batch Normalization in Neural Networks

    ...orm layer actually improves ImageNet, which is cool. You can add it to dense layers, and also to convolutional layers. If we insert a batch norm in a pre-trained network, it will change the pre-trained weights, because it will subtract the mean and divide by the standard deviation for the...

    https://www.kdnuggets.com/2018/06/batch-normalization-neural-networks.html

  • How To Create Natural Language Semantic Search For Arbitrary Objects With Deep Learning

    ...eq Model:   Part 2 notebook Conceptually, building a sequence-to-sequence model to summarize code is identical to the GitHub issue summarizer we presented previously — instead of issue bodies we use python code, and instead of issue titles, we use docstrings. However, unlike GitHub issue text,...

    https://www.kdnuggets.com/2018/06/natural-language-semantic-search-arbitrary-objects-deep-learning.html

  • Is data mining the new tool for gamers seeking pre-launch secrets?

    ...purposes (beyond the very obvious one - targeted marketing!): Find weak spots in a games' design Figure out how players spend their time when playing Predict when players will stop playing Discover which assets are not getting used Personalize i.e. make games that adapt to the player However, with...

    https://www.kdnuggets.com/2014/02/data-mining-tool-gamers-pre-launch-secrets.html

  • Understanding Deep Convolutional Neural Networks with a practical use-case in Tensorflow and Keras">Silver BlogUnderstanding Deep Convolutional Neural Networks with a practical use-case in Tensorflow and Keras

    ...is what the convolution layer does: given a filter, it scans the input and generates a feature map. But what does this convolution operation really represent? How to interpret the resulting feature map? I started by stating that convolution layers capture visual patterns within an image. Let me...

    https://www.kdnuggets.com/2017/11/understanding-deep-convolutional-neural-networks-tensorflow-keras.html

  • BERT, RoBERTa, DistilBERT, XLNet: Which one to use?

    ...g of BERT with improved training methodology, 1000% more data and compute power. To improve the training procedure, RoBERTa removes the Next Sentence Prediction (NSP) task from BERT’s pre-training and introduces dynamic masking so that the masked token changes during the training epochs. Larger...

    https://www.kdnuggets.com/2019/09/bert-roberta-distilbert-xlnet-one-use.html

  • Three Methods of Data Pre-Processing for Text Classification

    ...e techniques that were beneficial for me when developing this project, described below.   Bag of Words   Modern neural networks cannot interpret labeled text as described above and data must be pre-processed before it can be given to a network for training. One straightforward way to do...

    https://www.kdnuggets.com/2019/11/ibm-data-preprocessing-text-classification.html

  • A 2019 Guide for Automatic Speech Recognition

    ...gnition We explore unsupervised pre-training for speech recognition by learning representations of raw audio. wav2vec is…   The approach used in pre-training is optimizing the model to predict future samples from a single context. The model takes a raw audio signal as input and then applies an...

    https://www.kdnuggets.com/2019/09/2019-guide-automatic-speech-recognition.html

  • Artificial Intelligence and Data Science Advances in 2018 and Trends for 2019

    ...be done, shares Oleksandr Khryplyvenko. “What does it mean to ‘understand’ a sentence?” Google’s response to this question is the BERT technique for pre-training NLP applications. Pre-training entails using a huge volume of unlabeled generic text from the web to train a language representation...

    https://www.kdnuggets.com/2019/02/ai-data-science-advances-trends.html

  • A Single Function to Streamline Image Classification with Keras

    ...with a very large dataset, whose contents cannot be fitted into memory at one go. Look at this article to understand it better, Python’s Generator Expressions: Fitting Large Datasets into Memory Generator Expressions are an interesting feature in Python, which allows us to create lazily generated...

    https://www.kdnuggets.com/2019/09/single-function-streamline-image-classification-keras.html

  • This Microsoft Neural Network can Answer Questions About Scenic Images with Minimum Training

    ...to master two highly dissimilar tasks under the same structure. To achieve that, VLP uses a unified encoder-decoder model for general vision-language pre-training. The pre-trained model is fine-tuned for image captioning and visual question answering. More specifically, The VLP model uses a shared...

    https://www.kdnuggets.com/2019/10/microsoft-neural-network-answer-questions-scenic-images-minimum-training.html

  • 75 Big Data Terms to Know to Make your Dad Proud

    By Ramesh Dontha, Digital Transformation. My earlier article on ‘25 Big Data terms you must know to impress your date’ had a pretty decent response (at least by my standards) and there were requests to add more. Look, it is fairly easy to impress your date. Depending on the gender, all you may...

    https://www.kdnuggets.com/2017/06/75-big-data-terms.html

  • Hadoop is Not Failing, it is the Future of Data

    …op has it’s own technical constraints -the ability to support low latency BI (Business Intelligence) queries for one. However, the sheer inability of pre-Hadoop approaches to scale with exploding data ingest and management of massive data caused two business challenges for Digital Architectures….

    https://www.kdnuggets.com/2017/04/hadoop-not-failing-future-data.html

  • Uber-fication! Uberize Your Business

    …a business, reduce costs to transact and make the operations transparent so that business partners find it less risky to participate with you. Become Digital and Become Mobile The leading digital platform of our day is clearly mobile. The convenience offered by the Uber app in summoning a car is…

    https://www.kdnuggets.com/2017/01/uber-uberize-your-business.html

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